Curriculum Vitae Jun Zhang Department of Psychology Department of Mathematics Michigan Institute for Data Science 530 Church Street University of Michigan Ann Arbor, MI 48109 (734)-763-6161 (office) (734)-763-7480 (fax) [email protected]http://www.lsa.umich.edu/psych/junz/ (Dec 15, 2018) Education Ph.D. in Neurobiology, 5/92, University of California, Berkeley, California. (Co-Advisers: Karen K. De Valois and Russell L. De Valois) B.S. in Physics, 7/85, Fudan University, Shanghai, China. Professional Positions 12/18 – 12/21 Special-Term Professor of Finance. Shanghai Advanced Institute of Finance. 9/18 – now Core Faculty, Michigan Institute of Data Sciences, University of Michigan, Ann Arbor 9/14 – 12/14 Visiting Faculty, Center for Mathematical Sciences and Applications, Harvard University. 9/13 – now Full Professor, Department of Mathematics, University of Michigan, Ann Arbor 9/07 – now Full Professor, Department of Psychology, University of Michigan, Ann Arbor 9/07 – 1/11 Program Manager, Air Force Office for Scientific Research (AFOSR), on assignment from the University of Michigan through an Intergovernmental Personnel Act (IPA) mobility agreement, and then as a civilian servant while on leave from UM (2010). 9/98 – 8/07 Associate Professor, Department of Psychology, University of Michigan, Ann Arbor. 1/06 – 4/06 Research Scientist (visiting), Brain Science Institute, RIKEN, Japan. 10/99 – 12/99 Associate Professor (visiting), Department of Psychology, University of Waterloo, Ontario, Canada. 8/99 – 10/99 Researcher (visiting), CNRS Marseille, France, Laboratory of Neuropsychology. 2/99 – 7/99, Senior Lecturer (visiting), Department of Psychology, University of Melbourne, Australia. 9/92 – 8/98, Assistant Professor, Department of Psychology, University of Michigan, Ann Arbor. 9/91 – 8/92, Postdoctoral Fellow, with Professor T.J. Sejnowski, Computation Neurobiology Laboratory, the Salk Institute for Biological Sciences, La Jolla, California. 1/91 – 8/91, Junior Specialist, under supervision of Professors R.L. De Valois and K.K. De Valois, Departments of Psychology and Physiological Optics, University of California, Berkeley. 5/86 – 12/90, Research Assistant, under supervision of Professors R.L. De Valois and K.K. De Valois.
Transcript
Curriculum Vitae
Jun Zhang
Department of Psychology Department of Mathematics
Michigan Institute for Data Science 530 Church Street
Ph.D. in Neurobiology, 5/92, University of California, Berkeley, California. (Co-Advisers: Karen K. De Valois and Russell L. De Valois)
B.S. in Physics, 7/85, Fudan University, Shanghai, China.
Professional Positions
12/18 – 12/21 Special-Term Professor of Finance. Shanghai Advanced Institute of Finance. 9/18 – now Core Faculty, Michigan Institute of Data Sciences, University of Michigan, Ann
Arbor 9/14 – 12/14 Visiting Faculty, Center for Mathematical Sciences and Applications, Harvard
University. 9/13 – now Full Professor, Department of Mathematics, University of Michigan, Ann Arbor 9/07 – now Full Professor, Department of Psychology, University of Michigan, Ann Arbor 9/07 – 1/11 Program Manager, Air Force Office for Scientific Research (AFOSR), on
assignment from the University of Michigan through an Intergovernmental Personnel Act (IPA) mobility agreement, and then as a civilian servant while on leave from UM (2010).
9/98 – 8/07 Associate Professor, Department of Psychology, University of Michigan, Ann Arbor. 1/06 – 4/06 Research Scientist (visiting), Brain Science Institute, RIKEN, Japan. 10/99 – 12/99 Associate Professor (visiting), Department of Psychology, University of
Waterloo, Ontario, Canada. 8/99 – 10/99 Researcher (visiting), CNRS Marseille, France, Laboratory of Neuropsychology. 2/99 – 7/99, Senior Lecturer (visiting), Department of Psychology, University of Melbourne,
Australia. 9/92 – 8/98, Assistant Professor, Department of Psychology, University of Michigan, Ann
Arbor. 9/91 – 8/92, Postdoctoral Fellow, with Professor T.J. Sejnowski, Computation Neurobiology
Laboratory, the Salk Institute for Biological Sciences, La Jolla, California. 1/91 – 8/91, Junior Specialist, under supervision of Professors R.L. De Valois and K.K. De
Valois, Departments of Psychology and Physiological Optics, University of California, Berkeley.
5/86 – 12/90, Research Assistant, under supervision of Professors R.L. De Valois and K.K. De Valois.
Honors and Elected Positions
• Fellow, Psychonomic Society (2016- ) • Fellow, Association for Psychological Sciences (2012-) • Governing Board Member-at-Large (elected), Federation of Associations in the
Behavioral and Brain Sciences (2016-2018) • Council Member, Federation of Associations in the Behavioral & Brain Sciences
(2010-2015) appointed on behalf of the Society for Mathematical Psychology • Elected to Executive Committee, Society for Mathematical Psychology (2005-2011) • Elected as President, Society for Mathematical Psychology (2007-2008) • Elected as Vice President, Society for Mathematical Psychology (2008-2009) • Invited 45-Minute Plenary Talk, Japan 58th Geometry Symposium, August 28, 2011 • Invited Winer Memorial Lectures, Department of Psychology, Purdue University, 3-
4/2003
Journal Articles
1. Zhang, J. (1990). How to unconfound orientational and directional information in visual neuron's response. Biological Cybernetics, 63: 135-142.
2. Zhang, J. and Wu, S. (1990). Structure of visual perception. Proceedings of National
Academy of Sciences, USA. 87: 7819-7823.
3. Zhang, J. and Miller, J.P. (1991). A mathematical model for hyperacuity in sensory systems. Biological Cybernetics, 64: 357-364.
4. Zhang, J. (1991). Dynamics and formation of self-organizing maps. Neural
Computation, 3: 54-66.
5. Zhang, J., Yeh, S.-L. and De Valois, K.K. (1993). Motion contrast and motion integration. Vision Research, 33: 2721-2732.
6. Skottun, B., Zhang, J. and Grosof, D. (1994). On the direction selectivity of cortical
neurons to drifting dot patterns. Visual Neuroscience, 11: 885-897.
7. Zhang, J. (1995). Motion detectors and motion segregation. Spatial Vision, 9: 261-273.
8. Zhang, J., Riehle, A., Requin, J. and Kornblum, S. (1997). Dynamics of single neuron activity in primary motor cortex related to sensorimotor transformation. Journal of Neuroscience, 17: 2227-2246.
9. Zhang, J. and Kornblum, S. (1997). Distributional analysis, and De Jong et al.'s (1994)
dual process model of the “Simon effect”. Journal of Experimental Psychology: Human Perception and Performance, 23: 1543-1551.
10. Zhang, J., Riehle, A. and Requin, J. (1997). Locus of a neural process in stimulus-
response association tasks. Journal of Mathematical Psychology, 41: 219-236.
11. Zhang, J. (1998). Decomposing stimulus and response component waveforms in ERP. Journal of Neuroscience Methods, 80: 49-63.
12. Zhang, H., Zhang, J. and Kornblum, S. (1999). An interactive activation model of
stimulus-stimulus and stimulus-response compatibility. Cognitive Psychology, 38:
386-432.
13. Hedden, T. and Zhang, J. (2002). What do you think I think you think? Theory of mind and strategic reasoning in matrix games. Cognition, 85: 1-36.
14. Jones, M., Zhang, J. and Simpson, G. (2003). Aggregation of utility and social choice:
A topological characterization. Journal of Mathematical Psychology, 47: 545-556.
15. Zhang, J. (2004). Divergence function, duality, and convex analysis. Neural Computation, 16: 159-195.
16. Zhang, J. (2004). Binary choice, subset choice, random utility, and ranking: A unified
perspective using the permutahedron. Journal of Mathematical Psychology, 48: 107-134.
17. Jones, M. and Zhang, J. (2004) Rationality and bounded information in repeated
games, with application to the Iterated Prisoner’s Dilemma. Journal of Mathematical Psychology, 48: 334–354.
18. Zhang, J. (2004). Dual scaling between comparison and reference stimuli in
multidimensional psychological space. Journal of Mathematical Psychology, 48: 409-424.
19. Zhang, J. and Mueller, S. (2005). A note on ROC analysis and non-parametric
estimation of sensitivity. Psychometrika, 70: 203-212.
20. Zhang. J. (2005). A method to unconfound orientation and direction tunings in neuronal response to moving bars and gratings. Journal of the Optical Society of America, A. 22: 2246-2256.
pallidal neurons code incentive motivation: effects of mesolimbic activation. European Journal of Neuroscience. 22, 2617-2634.
22. Zhang, J. and Hasto, P. (2006). Statistical manifold as an affine space: A functional
equation approach. Journal of Mathematical Psychology, 50: 60-65.
23. Zhang, J. (2007). A note on curvature of α-connections on a statistical manifold. Annals of Institute of Statistical Mathematics, 59: 161-170.
24. Wei, H., Zhang, J., Cousseau, F., Ozeki, T., and Amari, S. (2007). Dynamics of
learning near singularities in layered network. Neural Computation, 20, 813-843.
25. Zhou, T., Zhang, J. and Chen, L. (2008). Neural correlation of “global-first” topological perception: Anterior temporal lobe. Brain Imaging and Behavior. 2, 309-317.
26. Yin, G., Zhang, J., Tian, Y. and Yao, D-Z. (2009). A multi-component decomposition
algorithm for event-related potentials. Journal of Neuroscience Methods, 178, 219-227.
27. He, L., Zhang, J., Zhou, T. and Chen, L. (2009). Connectedness affects dot numerosity judgment: implications for configural processing. Psychonomic Bulletin and Review 16, 509-517.
28. Zhang, J. (2009). Adaptive learning via selectionism and Bayesianism. Part I: A
connection. Neural Networks, 22, 220-228.
29. Zhang, J. (2009). Adaptive learning via selectionism and Bayesianism Part II: The sequential case. Neural Networks, 22, 229-236.
Modeling the neural computation of incentive salience. PLoS Computational Biology, 5: 1-14.
31. Zhang, H., Xu, Y., and Zhang, J. (2009). Reproducing kernel Banach spaces for
machine learning. Journal of Machine Learning Research 10: 2741-2775.
32. Stevens, G. and Zhang, J. (2009). A dynamic systems model of infant attachment. IEEE Transaction of Autonomous Mental Development. 1: 196-207.
33. Stern, E., Liu, Y., Gehring, W., Lister, J., Yin, G., Zhang, J., Fitzgerald, K., Himle, J.,
Abelson, J., Taylor, S. (2010). Chronic medication does not affect hyperactive error responses in obsessive-compulsive disorder. Psychophysiology 47: 913-920.
34. Park, J and Zhang, J. (2010). Sensorimotor locus of the buildup activity in monkey LIP
neurons. Journal of Neurophysiology. 103: 2664-2674.
35. Zhang, H. and Zhang, J. (2010). Generalized semi-inner products with application to regularized learning. Journal of Mathematical Analysis and Application. 372: 181-196.
36. Zhang, H. and Zhang, J. (2011). Frames, Riesz bases, and sampling expansions in
Banach spaces via semi-inner products. Applied and Computational Harmonic Analysis. 31:1-25.
37. Yin, G. and Zhang J. (2011). On decomposing stimulus and response waveforms in event-related potentials (ERP) recordings. IEEE Transactions on Biomedical Engineering, 58: 1534-1545 (DOI:10.1109/TBME.2010.2090152).
38. Zhang, J., Hedden, T and Chia, A. (2012) Perspective-taking and depth of theory-of-
mind reasoning in sequential-move games. Cognitive Science, 36: 560-573.
39. Zhang, H. and Zhang, J. (2012). Regularized learning in Banach space as an optimization problem: Representer theorems. Journal of Global Optimization, 54: 235-250 (e-print published 11 July 2010).
40. Zhang, H. and Zhang, J. (2013). Vector-valued Reproducing Kernel Banach Spaces
with applications to multi-task learning, Journal of Complexity, 29: 195-215.
41. Zhang, J. (2013). Nonparametric information geometry: From divergence function to referential-representational biduality on statistical manifolds. Entropy, 15: 5384-5418.
42. Ilin, R., Zhang, J., Perlovsky, L., and Kozma, R. (2014). Vague-to-crisp dynamics of
43. Zhang, J. (2015). On monotone embedding in information geometry. Entropy, 17:
4485-4489.
44. Tao, J. and Zhang, J. (2016). Transformations and coupling relations for affine connections. Journal of Differential Geometry and Applications. 49: 111-130.
45. Fei, T. and Zhang, J. (2017). Interaction of Codazzi couplings with (para)-Kahler
geometry. Results in Mathematics. 72: 2037-2056
46. Leok, M. and Zhang, J. (2017). Connecting information geometry to geometric mechanics. Entropy, 19: 518; doi:10.3390/e19100518
47. Greenfield M. and Zhang, J (2018) Resolution to the topological social choice paradox.
Mathematical Social Sciences. 93: 47-51.
48. Naudts, J. and Zhang, J. (2018) Information geometry under monotone embedding. Information Geometry. 1: 79-115.
49. Zhang, J. (2019) Characterizing projective geometry of binocular visual space through
Mobius transformation. Journal of Mathematical Psychology. 88: 15-26.
50. Sun, Y. and Zhang, J. (under review). Characterizing the structure of interval and semi-order. Submitted to Journal of Mathematical Psychology.
51. Zhang, J. and Shi Z. (under review) Bayesian inference as probability transfer across sample spaces. Submitted to Decision.
52. Lei, Y. and Zhang. (under review). Limit and convergence of a sequence. Submitted to
Journal of Mathematical Psychology
53. Lei, Y. and Zhang, J. (under review). Generalizing topological set operators. Submitted to Mathematica Fundamentae.
54. Zhang, J. Ke, A., Wang, H., Gong, Y., Tan, X., and Liu, W. (under revision).
Dynamics of boom and bust: Analysis of investor behavior during the 2015 Chinese stock market crash.
55. Lin, R., Zhang, J. and Zhang, H. (under review). On Reproducing Kernel Banach
Spaces: Generic definitions and unified framework of construction. Submitted to Journal of Functional Analysis.
56. Grigorian, S. and Zhang, J. (under review). (Para)-holomorphic and conjugate on
(para-)Hermitian and (para-)Kahler manifolds. Submitted to Results in Mathematics
Book Chapters
Zhang, J. (1994) Image representation using affine covariant coordinates. In O, Y.-L., Toet, A., Foster, D., Heijmans, H.J.A.M., and Meer, P. (Eds.) Shape in Picture: Mathematical Description of Shape in Grey-Level Images, Springer-Verlag, Berlin (pp.353-362).
Zhang, J. (1999) A game-theoretic analysis of the political situation across Taiwan Strait. In J.
Zhang and Y. Yu (Eds), Taiwan in the 21st Century: the Mainland Chinese Scholars Looking Ahead, Global Publishing Co., River Edge, New Jersey (pp 217-236). In Chinese.
Zhang, J. (2006) Referential duality and representational duality in the scaling of
multidimensional and infinite-dimensional stimulus space. In Dzhafarov, E. and Colonius, H. (Eds.) Measurement and representation of sensations: Recent progress in psychological theory. Lawrence Erlbaum Associates, Mahwah, NJ (pp. 131-157).
Chavez, A. and Zhang, J. (2008). Metagame strategies of nation-states, with application to Cross-Strait relations. In Liu, H., Salerno, J. and Young, M. (Eds.) Social computing, behavioral modeling, and prediction. Springer (pp.229-238).
Zhang, J. and Matsuzoe, H. (2009). Dualistic differential geometry associated with a convex
function. In Gao D.Y. and Sherali, H.D. (Eds) Advances in Applied Mathematics and Global Optimization (Dedicated to Gilbert Strang on the Occasion of His 70th Birthday), Advances in Mechanics and Mathematics, Vol. III, Chapter 13, Springer (pp 437-464).
Zhang, J., Berridge, K., Tindell, A., and Aldridge, J.A. (2011). Computational models of
incentive-sensitization in addiction: Dynamic limbic transformation of learning into motivation. In Gutkin, B. and Ahmed, S.H. (Eds.) Computational Neuroscience of Drug Addition. Springer (pp.189-203).
Zhang, J. (2011). Model selection with informative normalized maximum likelihood: Data
prior and model prior. In Dzhafarov, E.N and Perry, L. (Eds) Descriptive and Normative Approaches to Human Behavior. World Scientific, New Jersey (pp. 303-319).
Zhang, J. and Yin, G. (2013). A method to decompose stimulus and response components in
event-related potential (ERP) recordings. In Z. Lu and Y. Luo (Eds). Progress in Cognitive Science: From Cellular Mechanisms to Computational Theories. Peking University Press (pp.378-413).
Zhang, J. (2014) Divergence functions and geometric structures they induce on a manifold. In
F. Nielsen (Ed). Geometric Theory of Information, Springer (pp.1-30). Zhang, J. and Ilin, R. (2015). Modeling uncertainty, context, and information fusion via lattice-
based probability. In Chichilnisky G. and Rezai A. (Eds). The Economics of the Global Environment – Catastrophic Risks in Theory and Practice. Springer. (pp. 89-116)
Zhang, J. and Sun, Y. (2016). Subset systems: Mathematical abstraction of object and context.
In Houpt and Blaha (Eds.).Mathematical Models of Perception and Cognition, Volume I: A Festschrift for James T. Townsend. Psychological Press. (pp. 47-64).
Zhang, H. and Zhang, J. (2017). Learning with reproducing kernel Banach spaces. New Trends
in Analysis and Interdisciplinary Applications. (pp.417-423). Birkhauser, Cham. Zhang, J. and Zhang, H. (2018). Categorization based on similarity and features: The
reproducing kernel Banach space (RKBS) approach. In W. Batchelder, H. Colonius, E.N. Dzhafarov, J. Myung (Eds.) New Handbook of Mathematical Psychology, Volume 2, Springer.
Naudts, J. and Zhang, J. (2019). Rho-tau embedding of statistical models. Geometric
Structures of Information, Springer, Cham (pp.1-13).
Conference Proceedings, Commentaries, and Reviews
Zhang, J. and Miller, J.P. (1989). A model for resolution enhancement (hyperacuity) in sensory representation. In Touretzky, D. (Ed.) Advances in Neural Network Information Processing System. I. pp.444-450. Morgan-Kaufmann Publishers, San Mateo, CA.
Zhang, J. (1990). Dynamical self-organization and formation of cortical maps. In Proceedings
of International Joint Conference on Neural Networks, San Diego, 1990, Vol. III, pp. 487-
492. Zhang, J. (1990). Review of “Theory of self-organization of cortical maps” by Shigeru Tanaka.
Neural Network Review, 4. Zhang, H., Kornblum, S. and Zhang, J. (1995). Utilization of stimulus-response and stimulus-
stimulus compatibility principles in machine design. In K. Cox, J. Marsh, and B. Anderson (Eds.) Proceedings of the First International Cognitive Technology Conference, Hong Kong: City University of Hong Kong (pp. 151-157).
Zhang, J. (1999). A note on Lefebvre's reflexive function. In V.A. Lefebvre (Ed.) Proceedings
of the Workshop on Multi-Reflexive Models of Agent Behavior, ARL-SR-64, U.S. Army Research Lab (pp.109-110).
Zhang, J. (2001). Dimension overlap and S-S and S-R compatibility: a structural model. In L.
Chen and Y. Zhuo (Eds.) Proceedings of the Third International Conference on Cognitive Science (ICCS2001), Heifei, China: Press of University of Science and Technology of China (pp 377-381).
Zhang, J. and Hedden, T. (2003). Two paradigms for depth of strategic reasoning in games:
Response to Colman. Trends in Cognitive Sciences, 7, 4-5. Jones, M. and Zhang, J. (2003). Which is to blame: Instrumental rationality or common
knowledge? Comments to “Cooperation, psychological games theory, and limitations of rationality in social interaction” by A. Colman. Brain and Behavioral Science, 26: 166-167.
Zhang, J. (2005). Object oneness: the essence of the topological approach to perception. Visual
Cognition, 12: 683-690. Zhang, J. (2005). Referential duality and representational duality on statistical manifolds.
Proceedings of the Second International Symposium on Information Geometry and Its Applications, Tokyo (pp 58-67).
Mueller, S. and Zhang, J. (2006). Upper and lower bounds of area under ROC curves and
index of discriminability of classifier performance. Proceedings of ICML2006 Workshop on ROC Analysis in Machine Learning, Pittsburgh, PA, 2006 (pp.41-46).
Berridge, K., Zhang, J., and Aldridge, W. (2008). Computing motivation: Incentive salience
boosts of drug or appetite states. Behavioral Brain Science 31:440-441. Zhang, H., Xu, Y, and Zhang, J. (2009). Reproducing kernel Banach spaces for Machine
Learning. Proceedings of the 2009 International Joint Conference on Neural Networks, IJCNN2009, Atlanta, Georgia, USA (pp.3520-3527).
Calin, O., Matsuzoe, H., and Zhang, J. (2009). Generalization of conjugate connections.
Proceedings of 9th International Workshop on Complex Structures, Integrability, and Vector Fields. (pp.26-34).
Yenduri, P.K., Zhang, J., and Gilbert, A. (2012). Integrate-and-fire neuron modeled as a low-
rate sparse time-encoding device. Proceedings of the Third International Conference on Intelligent Control and Information Processing, ICICIP 2012 (pp507-512).
Jung, E. K., Zhang, J, Lee, S-Y, and Lee, J-H (2013). A preliminary study on neural basis of
collaboration as mediated by the level of reasoning. Neural Information Processing, Proceedings of the 20th International Conference on Neural Information Processing
(ICONIP2013), Daegu, Korea. Springer, Berlin Heidelberg (pp.50-56). Zhang, J. and Li, F. (2013). Symplectic and Kahler structures on statistical manifolds induced
from divergence functions. In Nielson, F. and Barbaresco, F. (Eds), Geometric Science of Information, 1st International Conference GSI2013, LNCS8085, Springer (pp. 595-603).
Ilin, R. and Zhang, J. (2014). Information fusion with uncertainty modeled on topological
event spaces. In Symposium on Foundations of Computational Intelligence, FOCI’2014, IEEE (pp.1-8).
Ilin, R. and Zhang, J. (2015). Information fusion with topological event spaces. In Proceedings
of International Conference on Information Fusion FUSION’2015, IEEE (pp. 2092-2099). Zhang, J. (2015). Reference duality and representation duality in information geometry. In
Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt2014), Vol. 1641 (pp130-146). AIP Publishing.
Tao, J. and Zhang, J. (2015). Transformation and coupling of relations for affine connections.
In Nielson, F. and Barbaresco, F. (Eds), Geometric Science of Information, 2nd International Conference GSI2015, LNCS 9389, Springer (pp. 326-339).
Zhang, J. and Naudts, J. (2017). Information geometry under monotone embedding.Part I:
divergence functions. In Nielson, F. and Barbaresco, F. (Eds), Geometric Science of Information, GSI2017.(pp. 205-214).
Naudts, J. and Zhang, J. (2017). Information geometry under monotone embedding.Part II:
geometry. In Nielson, F. and Barbaresco, F. (Eds), Geometric Science of Information, GSI2017 (pp. 215-222).
Grigorian, S. and Zhang, J. (2017). (Para)-holomorphic connections for information geometry.
In Nielson, F. and Barbaresco, F. (Eds), Geometric Science of Information, GSI2017 (pp186-194).
Zhang, J. and Fei, T. (2018). (Para-)Kahler structure in information geometry. IGAIA4
Proceedings. Grants and Awards
• 9/18-8/19 DiDi Chuxing Direct sponsor project 010395 (“On the Capacity and Efficiency of Ride-Sourcing Systems”) awarded from DiDi Chuxing Inc. Serves as Co-PI, with PI Yafeng Yin. Total to UM; $150,000.
• 9/17-8/18 DiDi Chuxing Direct sponsor project 224824 (“Research on Behavioral Interventions in Transportation Services”) awarded from DiDi Chuxing Inc. Serves as PI, with co-PI Colleen Seifert. Total to UM: $150,000.
• 7/16-7/19 DARPA Grant #W911NF-16-1-0383 (“Information Geometry: Geometrization of Science of Information”). Serve as sole PI. Total to UM: $670,096.
• 9/15-9/19 AFOSR Grant #FA9550-1-15-1-0439 (“Characterizing Neural Code from a Minimal Description Length Perspective”) award from Air Force Office for Scientific Research. Serve as PI for subcontract to Columbia University (PI: Ning Qian). Total to UM: $273,590.
• 1/13-12/17 AFOSR Grant #FA9550-13-1-0025 (“Similarity and Features in Categorization: A Unified Machine Learning Framework”) awarded from Directorate of Mathematics, Information, and Life Sciences, Air Force Office for Scientific
Research. Serve as PI, with Senior Personnel Matt Jones (University of Colorado Boulder). Total to UM: $660,782.
• 5/12 - 12/15 ARO Grant #W911NF-12-1-0163 (“Semi-inner Products in Banach Spaces with Applications to Regularized Learning, Sampling, and Sparse Approximation”) awarded from Mathematical Science Division, Army Research Office. Serve as PI, with Senior Personnel Anna Gilbert (University of Michigan) and Haizhang Zhang (Sun Yat-Sen University, China). Total to UM: $298,969.
• 12/06 - 11/12 NSF Grant #0631541 (“Information Geometry with Application to Model Selection”) awarded from the MSBS Program. Serve as PI, with Co-PIs Ovidiu Calin (Eastern Michigan University) and Hiroshi Matsuzoe (Nagoya Institute of Technology, Japan). Total through UM: $250,000 (including $48,181 sub-award to EMU).
• 5/06 - 3/12 AFOSR Grant #FA9550-06-1-0298 (“Sequential Analysis of Automatic Target Detection with Classification Algorithms and Optimality of Dynamic Decision-Making Under Time Pressure”) awarded from the Cognition and Decision Program of Mathematics, Information, and Life Sciences Directorate. Serve as PI, with collaborator Dan Repperger (AFRL) Total to UM: $411,638.
• 11/04 - 10/08 CAS Team Grant. One of the seven overseas Co-PIs on a Collaboration Grant from Chinese Academy of Sciences (“Binding and Visual Perception”). RMB 6,000,000 award (PI: Lin Chen of the Institute of Biophysics, Chinese Academy of Sciences.)
• 7/04 Office of Vice-President for Research, University of Michigan, Conference Grant (“Society for Mathematical Psychology Annual Conference”).
• 8/02 K.C. Huang Fellowship Foundation, Hong Kong. • 10/99 - 12/99 Collaborative Research Award, CNRS, France. • 8/98 - 7/00 China Bridge Foundation and Chinese National Science Foundation. • 7/98 K.C. Huang Fellowship Foundation, Hong Kong. • 1/96 - 12/97 Rackham Faculty Grant for Research and Creative Activities, University
of Michigan. • 7/95 K.C. Huang Fellowship Foundation, Hong Kong. • 1/94 - 12/95 Rackham Faculty Grant for Research and Creative Activities, University
of Michigan. • 6/94 - 8/94 Rackham Faculty Fellowship, University of Michigan. • 8/93 Conference Grant ("Brain and Computation") from Chinese National Science
Foundation. • 9/91 - 8/92 McDonnel-Pew Postdoctoral Fellowship. • 1/90 Michael Shen Memorial Scholarship, University of California, Berkeley. • 8/86 - 8/89 Non-Resident Tuition Scholarships, U.C. Berkeley. • 7/89 Scholarship, Cold Spring Harbor Summer Course on Computational Vision. • 6/88 Scholarship, McDonnel Summer Institute of Cognitive Neuroscience. • 8/85 - 8/87 Regent's Fellowship, University of California, Berkeley.
Government Experience at AFOSR, Department of Defense
From September 2007 till January 2011, I have worked as a Program Manager in the Directorate of Mathematics, Information and Life Sciences, Air Force Office of Scientific Research (AFOSR), in charge of the Mathematical Modeling of Cognition and Decision Program and the Human-System Interface and Robust Decision Making Program. I managed nearly 50 research projects with about $10 million annual program budget. Responsibilities included evaluating proposals and selecting awards, seeking and developing new research projects that promise revolutionary breakthroughs in basic science, monitoring on-going research projects funded by AFOSR, and advising the
Director on evolving trends and need for new research investments. Program management work also included providing advice to research contractors and grantees, seeking independent peer review of proposals, conducting annual principal investigator review meetings, panels, and other workshops, providing briefing to AFOSR management and other DoD and Federal agencies, participating in information and coordination meetings, and promoting interchange between AFOSR-supported researchers and the civilian workforce in the Air Force Research Laboratory.
Administrative Experience at the University of Michigan
• Member, Augmented Executive Committee, Psychology Department, 1993-1994 • Member, Graduate Admissions Committee, Cognition and Perception Area, 1995 • Member, Cognition Search Committee, Department of Psychology, 1994-1995 • Member, Psychology Computing Service Committee, 1997, 1998 • Psychology Undergraduate Concentration Adviser, 1996-1997, 2000 • Conflict Resolution Officer, Office of Student Affairs, University of Michigan, 1997-
2003 • Member, Quantitative Search Committee, Department of Psychology, 1998-2000 • Member/Chair, Barbour Scholarship Advisory Committee, Rackham Graduate School,
1999-2002 • Member, Augmented Executive Committee, Psychology Department, 2001-2002 • Member, Rules Committee, University Senate Assembly, 2001-2005 • Member, LSA Grievance Review Board, 2003-present • Chair, Graduate Admission Committee, Department of Psychology, Cognition and
Perception Area, 2003-2005, 2007. • Member, Quantitative Methodology in Social Science (QuaMSS) Steering Committee,
College of LSA, 2007. • Member, Augmented Executive Committee, Department of Psychology. 2011-12. • Member, Graduate Admissions Committee, Department of Psychology, Cognition and
Cognitive Neuroscience Area, 2013. • Chair, Graduate Admissions Committee, Department of Psychology, Cognition and
Cognitive Neuroscience Area, 2015. • Member, Annual Review Committee, Department of Psychology. 2016-17. • Chair, Graduate Admissions Committee, Department of Psychology, Cognition and
Cognitive Neuroscience Area, 2017. • Member, Augmented Executive Committee, Department of Psychology. 2017-18. • Member, Annual Review Committee, Department of Psychology. 2018-19. •
Teaching Experience Undergraduate level Introductory Psychology as a Natural Science (Psych 112) Mind and Brain (Psych 116) Junior Honors Research Methods (Psych 312) Mathematical Psychology (Psych 448) Advanced topics in Applied Mathematics (Math 559) Quantitative Methods of Psychology (512-220 at the University of Melbourne) Psychological Measurement and Testing (512-320 at the University of Melbourne) Behavioral Data Mining (Psych 541)
Graduate level Neural Models and Psychological Processes (Psych 640) Theory of Neural Computation (Psych 643/EECS 643) Mathematical Psychology (Psych 721) Perception (Psych 744) Advanced Seminar in Cognitive Neuroscience (Psych 808) Advanced Seminar in Affective/Motivational Neuroscience (Psych 808) Advances in Reinforcement Machine Learning (Psych 808) Readings in Information Geometry (Psych 808) Special Topic in Cognition and Perception: Psychophysics, Signal Detection, and Measurement (Psych 659V at the University of Waterloo) Mathematical Foundation of Learning and Information: An Invitation. (Summer course offered at Center for Mathematical Sciences, Tsinghua University) Frontier Research Topics of Applied Mathematics (Summer course offered at School of Mathematical Sciences, Nankai University) Information Geometry: Introduction and Advance Topics (Summer course offered at Yau Center for Mathematical Sciences, Tsinghua University)
Advisees and Dissertation Committees
• 1994. Huazhong Zhang, Ph.D. in Psychology, “Stimulus-stimulus and stimulus-response compatibility: an interactive activation model”. Served as committee member.
• 1995, Harmon S. Nine, Ph.D. in Computer Science and Engineering, “A model for the role of feedback in ocular dominance column development”. Served as cognate member.
• 1997, Debra Waugh, Ph.D. in Mathematics, “Quotients of coxeter groups under the weak order”. Served as cognate member.
• 1998, Min Chang, Ph.D. candidate from Fudan University, Shanghai (through an Exchange Program with University of Michigan) “Models of reinforcement learning''; now with a software company in Canada.
• 1998, Michael Horowitz, Ph.D. in Computer Science and Engineering, “Perceptual lossless coding of images using sensor based model of human visual system”. Served as cognate member.
• 1999, Junling Hu, Ph.D. in Computer Science and Engineering, “Learning in dynamic non-cooperative multi-agent systems”. Served as cognate member.
• 2002, Shane Mueller, Ph.D. in Psychology, “The role of cognitive architecture and recall strategies in performance of the immediate serial recall task”. Served as committee member.
• 2003, Matthew Jones, Ph.D. in Psychology, “Temporal information and adaptive rationality”. Served as committee chair.
• 2006, Jinny Lim, Ph.D. in Industrial and Operational Engineering, Served as cognate member.
• 2007, Changxu Wu, Ph.D. in Industrial and Operational Research. Served as cognate member.
• 2007 Fall, Fubo Li, Postdoc researcher and exchange visitor (Ph.D. of Mathematics from Sichuan University)
• 2008-9, Gang Yin, Ph.D. from University of Electronic Science and Technology University (exchange student from China).
• 2009-10 Haizhang Zhang, Postdoc researcher (Ph.D. of Mathematics from Syracuse University).
• 2005-10, Alex Chavez, Ph.D. in Cognition and Perception. Served as primary supervisor and then research project supervisor.
• 2009-11, Joonkoo Park, Ph.D. in Cognition and Cognitive Neuroscience. Served as
research project supervisor. • 2011-12, Ajinkya More, Ph.D. student in Mathematics. Served as research project
supervisor and dissertation committee. • 2011-12, Praveen Yenduri. Ph.D. student in EECS. Served on prelim and dissertation
committees. • 2012-2013, Yitong Sun, M.S. in Applied Interdisciplinary Mathematics. Now Ph.D.
student in Applied and Interdisciplinary Mathematics. • 2013, Yinghua Li, Postdoc researcher (Ph.D. in Applied Mathematics and Statistics
from Stony Brook University). • 2013-, Jordan Meyer, Ph.D. student in Cognition and Cognitive Neuroscience Program,
Department of Psychology. • 2013-2015, Yang Hai, Ph.D. candidate from Sun Yat-Sen University (exchange
student from China). • 2013-15 Yuanbao Zhai, Ph.D. candidate in EECS. Served on dissertation committee. • 2014 - Yinbin Lei, Visiting research professor from the University of Electronic
Science and Technology of China (UESTC). • 2014-16 Zifu Shi, Visiting research professor from the Hunan Normal University,
China. • 2014-15 Alisa Zoltowski, Undergraduate Honors thesis. • 2015 Zhiyue Huang, external examiner on Ph.D. thesis committee, University of
Waterloo, Canada. • 2016 – Efren Cruz Cortes, Ph.D. candidate in EECS. Served on dissertation committee. • 2016-17, Wanying Liu, Undergraduate Honors thesis. • 2017-18, Wanying Liu, Master’s thesis supervisor. • 2017-, Satpathy,Punya Plaban. Ph.D. candidate in Mathematics. Serve as cognate
member of thesis committee. • 2018-, John Kilgore, Ph.D. candidate in Mathematics. Serve as cognate member on
• Chair, Workshop on Brain and Computation, 1993 (Chinese National Science Foundation)
• Member, International Conference of Mathematical Biology (ICMB'97) • Chair, Symposium of Mathematical Modeling of Cognition, Third International
Conference of Cognitive Sciences (ICCS2001), Beijing, China, 2001. • Organizer (Chair of Organizing and Programming Committees), 37th Annual
Conference of Society for Mathematical Psychology (2004), Ann Arbor, Michigan. • Co-Chair, Special Symposium of Mathematical Models of Gestalt Psychology, 38th
Annual Conference of Society for Mathematical Psychology (2005), Memphis, TN. • Co-Organizer, BSI Forum, Brain Science Institute, RIKEN (2006). Information
Geometry from the Perspective of Affine Differential Geometry, Jan 29-30, 2006, Wako-shi, Saitama, Japan.
• Organizer, 2006 Michigan Mathematical Psychology Day (“Coombs Conference 2006”), April 14-16, 2006, Ann Arbor, MI.
• Lead Organizer, 2006, International Workshop on Information Geometry and Affine Differential Geometry, September 3, 2006, Chengdu, China.
• Member, Programming Committee, 2007, Second International Conference on Complementarity, Duality, and Global Optimization (CDGO2007), Gainesville, FL.
• Organizer, 2007, Fudan International Symposium on Brain, Cognition, and Computation, March 17-18, 2008, Shanghai, China.
• Co-Organizer, 2008, 41th Annual Conference of Society for Mathematical Psychology (2008), Washington, DC.
• Organizer, Symposium on Causal Reasoning, in connection with SMP2008. • Member, Program Committee, 2008, First International Workshop on Social
Computing, Behavioral Modeling, and Prediction (SBP2008), Phoenix, AZ. • Organizer, Mini-symposium “When TDA (Topological Data Analysis) Meets TVP
(Topological Visual Perception)”, Center for Mathematical Sciences, Tsinghua University, August 21, 2010, Beijing, China.
• Member, Program Committee, 2011 “Reasoning about other minds: Logical and cognitive perspectives”, TARK 2011, Grotingen, the Netherlands.
• Member, Turing Centenary Advisory Committee (TCAC). 2010-2012. • Scientific Lead and Organizer, 2013, National Science Foundation Workshop on
Integrating Approaches to Computation Cognition, May 13-15, 2013. • Organizer, 2nd International Workshop on Information Geometry and Affine
Differential Geometry, Fudan University, April 11-12, 2014. • Member, Program Committee, Maxent 2014: Bayesian Inference and Maximum
Entropy Methods, Amboise, France, Sept 21-26, 2014. • Member, Program Committee, GSI’17: Geometric Science of Information. Paris,
France, Nov 7-9, 2017. • Member, Program Committee, GSI’19: Geometric Science of Information. Toulouse,
France, Aug 27-29, 2019. • Co-Organizer, Information Geometry and Affine Differential Geometry (IGADG III),
Nagoya, Japan, March 27-29, 2019. • Co-Chair, Special Session on Kernels, Learning, and Beyond, International Joint
Conference on Neural Networks (IJCNN 2019), Budapest, Hungary, July 14-19, 2019.
Short Course Instructor and Guest Lectures in Summer Programs • 7/11 Guest Lecturer, UCLA IPAM Graduate Summer School: Probabilistic Models of
Cognition, Los Angeles, CA (Organizer: Alan Yuille). • 7/11 Guest Lecturer, Cold Spring Harbor Suzhou Summer School on Computation
Neuroscience (Organizer: Xiaojin Wang) • 7-8/11Instructor, Tsinghua University Mathematical Sciences Center Summer
Program. • 7/12 Instructor, Kunming University of Science and Technology Center for
Engineering Mathematics “3D Geometry and Computer Imaging Summer School” • 7-8/12 Instructor, Tsinghua University Mathematical Sciences Center Summer
Program, Introduction to Machine Learning • 8/12 Instructor, Zhejiang University, Center for Mathematical Sciences, Mini-course
on Information Geometry • 7/13 Instructor, Nankai University, School of Mathematical Sciences, Frontiers of
Research in Applied Mathematics. • 10/14 Series Lecturer. Korea Advanced Institute of Science and Technology (KAIST).
Department of Computer Sciences. • 5/15 Instructor, Mini-course on Mathematical Psychology, Beijing Normal University • 8/15 Instructor, Lectures on Information Geometry, Summer course in the Center for
Mathematical Sciences, Tsinghua University • 5/16 Instructor, Mini-course on Mathematical Psychology, Beijing Normal University • 5/17 Instructor, Mini-course on Mathematical Psychology, Beijing Normal University • 8/17 Instructor, Lectures on Information Geometry, Tsinghua University Yau Center
for Mathematical Sciences Summer Program • 4/18 Instructor, Mini-course on Mathematical Psychology and Behavioral Data Mining,
Beijing Normal University • 7/18 Guest Lecturer, Summer School in Computation Neuroscience and Brain-Inspired
Intelligence, Tsinghua University • 7/18 Instructor, Lectures on Information Geometry, Tsinghua University Yau Center
for Mathematical Sciences Summer Program Review Panel and Service for Federal Government and Others
• AFOSR Cognition and Behavior Program Review Workshop, Dayton, OH, Apr 2006. • Program Manager for AFOSR Mathematical Modeling of Cognition and Decision
Program and Human System Interface and Robust Decision-Making Program, Sept 2007 – Jan 2011. Includes agency interactions/activities with NSF, NIH, ONR, ARO, DARPA, IARPA.
• AFOSR 2011 Spring Review, Arlington VA, March 14-15, 2011. • NSF CRCNS Panel, Arlington, VA. March 24-25, 2011. • NSF Science of Learning Center Site Visit Panel, San Diego CA, May 11-13, 2011. • ARO Computer Science Division Strategic Planning Workshop, Durham NC, May 24-
25, 2011. • ARO Mathematical Science Division Strategic Planning Workshop, Durham NC, May
25-26, 2011. • AFOSR Robust Computational Intelligence Program Review, Arlington VA, June 7,
2011. • AFOSR Complex Network Program Review, Arlington, VA. Nov 29-Dec 2, 2011. • IARPA Sirius Project team consulting. Oct 2011-Sept 2013. • AFOSR Cognition, Decision and Computation Intelligence Program Review,
Arlington, VA. Jan 23-27, 2012. • NSF National Robotics Initiative (NRI) Panel, Arlington, VA. Feb 23-24, 2012. • AFOSR GMU Center of Excellence in Neuro-ergonomics, Technology and Cognition
(CENTEC) Annual Review Panel, Fairfax, VA. Nov 27, 2012. • NSF Science and Technology Center (STC) Site Visit Selection Panel, MIT,
Cambridge, MA. Nov 28-30, 2012. • AFOSR Information Fusion Program Review, Potomac, MD. Dec 4-6, 2012. • AFOSR Cognition, Decision, and Computation Intelligence Program Review,
Washington, DC. Jan 28-Feb 1, 2013. • OSTP consultation on BRAIN Initiative, Jan 30, 2013. • NSF Information Theory and Coding (CIF) Panel, Arlington, VA. April 8-9, 2013. • ARO Life Science Division Board of Visitor (BOV), Durham NC, May 6-8, 2013. • AFOSR Computation Cognition Program Review, Arlington, VA, Dec 9-13, 2013. • NSF Science and Technology Center (STC) MIT Center for Brains, Minds, and
Machines (CBMM) Annual Review Panel, June 15-17, Cambridge, MA, 2014. • AFOSR Computation Cognition Program Review, Arlington, VA, Nov 3-7, 2014. • AFOSR Computation Cognition Program Review, Arlington, VA, Nov 16-22, 2015. • NSF Science and Technology Center (STC) MIT Center for Brains, Minds, and
Machines (CBMM) Annual Review Panel, June 8-9, Cambridge, MA, 2016. • AFOSR Computation Cognition Program Review, Arlington, VA, Oct 31-Nov 4, 2016. • Korean Advanced Institute of Science and Technology (KAIST) Emotional
Intelligence Consortium Annual Review, July 9-12, 2017. (Remote participation). • NSF Science and Technology Center (STC) MIT Center for Brains, Minds, and
Machines (CBMM) Annual Review Panel, May 22-23, Cambridge, MA, 2018. • DDR&E Vannevar Bush Faculty Reviewer, 2018. • ARO MURI Topic Academic Reviewer, 2018.
Editorial Board
• Journal of Mathematical Psychology (Elsevier), Editorial Board (2004-2009, 2018-) • Journal of Mathematical Psychology (Elsevier), Associate Editor (2010-2018) • Information Geometry (Springer), Founding Co-Editor (2018- )
• Geometry, Imaging, and Computing (International Press of Boston), Editorial Board (2018- )
• Entropy (MDPI), Editorial Board (2015- ) • Advances in Mechanics and Mathematics, Springer, Editorial Board (2016- )
Ad Hoc Reviewer
• Annals of the Institute of Statistical Mathematics • British Journal of Mathematical and Statistical Psychology • Canadian Journal of Experimental Psychology • Cerebral Cortex • Decision • Design Science • Entropy • European Journal of Cognitive Psychology • IEEE Transactions on Neural Network • IEEE Transactions on Biomedical Engineering • IEEE Transactions on Information Theory • Journal of Behavioral Decision Making • Journal of Cognitive and Affective Neuroscience • Journal of Consciousness Studies • Journal of Experimental Psychology: Human Perception and Performance • Journal of Experimental Psychology: Learning, Memory and Cognition • Journal of Global Optimization • Journal of Mathematical Biology • Journal of Mathematical Psychology • Journal of Mathematical Social Sciences • Journal of Neurophysiology • Nature Communications • Neural Computation • Neuron • Perception and Psychophysics • PLOS Computation Biology • Proceedings of IEEE • Psychological Methods • Psychological Review • Psychological Science • Psychonomic Bulletin and Review • Quarterly Journal of Experimental Psychology • Visual Cognition • Vision Research • NATO Advanced Study Institute proposal • AFOSR Cognition and Decision Program proposal • ARO Decision Program proposal • ARO Sensor Program proposal • NSF PAC proposal • Springer book proposal • LEA book prospectus • SAGE book prospectus
Professional Society Membership (Current and Past)
• Society for Mathematical Psychology • International Society of Bayesian Analysis
• Society for Neuroscience • Society for Cognitive Neuroscience • European Mathematical Psychology Group • Psychonomic Society • Association for Research in Vision and Ophthalmology • Association for Psychological Sciences • International Society for Autism Research
Invited Seminar and Colloquium Presentations
• 1/91 Oxyopia, University of California, Berkeley, CA (Host: Stan Klein). • 1/91 Salk Institute, La Jolla, CA (Host: Terry Sejnowski). • 1/91 Boston University, Boston, MA (Host: Steve Grossberg). • 1/91 Purdue University, West Lafayette, IN (Host: Rich Schweickert). • 2/91 University of Michigan, Ann Arbor, MI (Host: Gary Olson). • 2/91 Ohio State University, Columbus, OH (Host: Bud MacCallum). • 3/91 University of Illinois, Urbana-Champaign, IL (Host: Joe Malpeli). • 5/92 Institute of Neural Computation, La Jolla, CA (Host: Terry Sejnowski) • 5/92 Oxyopia, University of California, Berkeley, CA (Host: Russ De Valois). • 12/92 General Motors Research Lab, Warren, MI (Host: K.P. Unnikrishnan) • 3/94 Smith-Kettlewell Eye Research Institute, San Francisco, CA (Host: Christopher
Tyler). • 6/94 Cognitive Neuroscience Lab, National Center of Scientific Research (CNRS),
Marseille, France (Host: Jean Requin). • 3/95 Oxyopia, University of California, Berkeley, CA (Host: Russ De Valois). • 3/95 Keck Institute, University of California, San Francisco, CA (Host: Ken Miller) • 7/95 Cognitive Science Laboratory, Beijing, PRC (Host: Lin Chen) • 7/96 Cognitive Science Laboratory, Beijing, PRC (Host: Lin Chen) • 7/96 Institute of Automation, Chinese Academy of Sciences, Beijing, PRC (Host:
Song-De Ma) • 11/96 Purdue University, West Lafayette, IN (Host: Jerry Busemeyer) • 2/97 Indiana University, Bloomington, IN (Host: Jim Townsend) • 2/97 Ohio State University, Columbus, OH (Host: In Jae Myung) • 12/97 University of California, Irvine, CA (Host: Duncan Luce) • 7/98 Institute of Automation, Chinese Academy of Sciences. (Host: Song-De Ma). • 5/99 University of Melbourne, Parkville, VIC, AUSTRALIA (Host: Philip Smith) • 9/99 Cognitive Neuroscience Lab, National Center of Scientific Research (CNRS),
Marseille, France (Host: Alexa Riehle). • 11/99 University of Waterloo, Ontario, CANADA (Host: Pierre Jolicoeur) • 8/99 Purdue University, West Lafayette, IN (Host: Rich Schweickert) • 4/03 Depth in theory-of-mind reasoning: What do you think I think you think. Talk
presented to Department of Psychological Sciences, Purdue University, West Lafayette. April 2, 2003. (Host: Ehtibar Dzhafarov)
• 1/04 A differential manifold framework of visual perception. Colloquium talk presented to the Department of Mathematics, Indiana University-Purdue University at Indianapolis, IN (Host: Zhongmin Shen)
• 12/04. Borda scores and aggregation of preference: A geometric-combinatoric and a topological approach. Talk presented to Institute of Mathematical Social Sciences, University of California, Irvine. (Host: Duncan Luce)
• 5/05 Differential geometric characterization of the manifold of probability functions. Talk presented to Quantitative Forum, Department of Psychology, Ohio State University, OH (Host: Jay Myung).
• 1/06 Differential manifold and the characterization of visual perceptual organization. Talk presented to Center for Dynamic Systems, Institute of Mathematics, Chinese Academy of Sciences (Host: Cheng-bo Yue).
• 1/06 Information geometry from the perspective of affine differential geometry. Talk presented to Institute of Mathematics, Sichuan University, China (Host: An-min Li).
• 2/06 Bidualistic structure of statistical manifolds. Talk presented at Institute of Statistical Mathematics, Japan (Host: Shiro Ikeda).
• 10/06 Modeling visual perception as a differentiable manifold. Colloquim talk presented to Department of Mathematics, McMaster University, Canada (Host: Matheus Grasselli)
• 12/06 Differentiable manifold and characterization of visual perceptual organization. Talk presented to Center for Mathematical Research, Zhejiang University, China (Host: Kefeng Liu)
• 12/06 A method to unconfound orientation and direction selectivity in visual neuron’s tuning curve. Talk presented to University of Electronics Science and Technology of China (Host: Dezhong Yao).
• 1/07 Differentiable manifold and characterization of visual perceptual organization. Talk presented to School of Mathematics, Peking University (Host: Changping Wang)
• 4/07 Referential duality and representational duality in information geometry Talk presented to Computer Science Department, Chinese University of Hongkong (Host: Lei Xu)
• 5/07 Incorporating prior knowledge and evidence for optimal decision-making: A Bayesian algorithm for sequential updating of belief Talk presented to RIKEN Brain Science Institute, Japan (Host: Shun-ichi Amari)
• 8/07 Modeling visual perception as a differentiable manifold. Talk presented to Smith Kettlewell Eye Research Institute (Host: Christopher Tyler)
• 10/07 Reflexive theory-of-mind reasoning in games: from empirical evidence to modeling. Talk presented to Department of Psychology, University of Maryland (Host: Tom Wallsten).
• 6/08 Information geometry: differential geometric study of the manifold of probability density functions. Talk presented to Zhongshan University (Host: Yuesheng Xu)
• 9/08 Reflexive theory-of-mind reasoning in games: From empirical evidence to modeling. Talk presented to Department of Psychology, University of Texas, Austin (Host: Brad Love)
• 10/08 Unconfounding stimulus- and response-related processes and determining sensorimotor locus in neural recordings. Talk presented to Quantitative Brownbag, Department of Psychology, Ohio State University (Host: Jay Myung)
• 12/08 Understanding neural basis of decision making by determining locus in stimulus-response arc of neural recordings. Talk presented to the Institute of Neuroscience, Chinese Academy of Sciences (Host: Si Wu).
• 12/08 Information geometry: the differentiable geometric study of the manifold of probability density functions. Talk presented to Center for Mathematical Research, Zhejiang University, China (Host: Kefeng Liu)
• 1/09 Reflexive Theory-of-Mind Reasoning in Games: From Empirical Evidence to Modeling Central University of Economics and Finance (Host: Jie Zhang)
• 1/09 Understanding neural basis of decision making by determining locus in stimulus-response arc of neural recordings. Talk presented to the Institute of Psychology, Chinese Academy of Sciences (Host: Kan Zhang).
• 2/09 Unconfounding stimulus- and response-related processes and determining sensory-motor locus in neural recordings. Talk presented to Department of Psychology, Indiana University at Bloomington (Host: James Townsend).
• 4/09 Reconstructing stimulus- and response-related components in neural recordings with arbitrary reaction time distributions. Talk presented to Department of
Psychology, University of Colorado (Host: Matt Jones). • 5/09 A Method to unconfound orientation and direction selectivity in visual neurons’s
turning. Talk presented to School of Life Sciences, University of Science and Technology of China. (Host: Guoqiang Bi)
• 6/09 Reproducing Kernel Banach Spaces for machine learning: duality and representer theorems. Talk presented to Center for Mathematical Sciences, Zhejiang University (Host: Min Zhang).
• 2/11 Unconfounding stimulus- and response-related processes and determining sensory-motor locus in neural recordings. Talk presented to Department of Psychology, Michigan State University. (Host: Tim Pleskac).
• 4/11 Regularized learning in reproducing kernel Banach spaces. Talk presented to the Institute of Mathematical Behavioral Sciences, University of California Irvine. (Host: Bill Batchelder)
• 9/11 Regularized learning in reproducing kernel Banach spaces. Talk presented to the Institute of Statistical Mathematics, Japan (Host: Shiro Ikeda).
• 4/12 Borda scores and aggregation of preference: A geometric-combinatoric and a topological approach. Talk presented to Department of Statistics, University of Chicago (Host: Lek-Heng Lim).
• 4/12 Determining sensory-motor locus of single neuron activity based on signal-detection theory. Talk presented to the Department of Neuroscience, Johns Hopkins University (Host: Kechen Zhang).
• 6/12 Mathematical and neuromorphic modeling of figure ground segregation in primary visual cortex. Talk presented to AFRL Information Directorate, Rome, NY (Host: Qing Wu)
• 6/12 Reflexive theory-of-mind reasoning in games: From empirical evidence to modeling. Talk presented to KAIST, Korea (Host: Soo-Young Lee).
• 7/12 Reproducing kernel Banach spaces for machine learning. Talk presented to Department of Computer Science and Engineering, Chinese University of Hong Kong (Host: Lei Xu).
• 7/12 Information geometry: From divergence functions to metric, equiaffine and symplectic structures. Talk presented to the School of Mathematical Sciences, Sun Yat-Sen University (Host: Xiping Zhu)
• 7/12 Information geometry: From divergence functions to metric, equiaffine and symplectic structures. Talk presented to the School of Mathematical Sciences, Nankai University (Host: Junyi Guo)
• 8/12 Reflexive theory-of-mind reasoning in games: From empirical evidence to modeling. Talk presented to College of Psychological Science, Huazhong Normal University (Host: Zongkui Zhou).
• 8/12 Reproducing kernel Banach spaces for machine learning. Talk presented to Department of Mathematics, Fudan University (Host: Jianfeng Feng).
• 2/13 Topological characterization of interval and semi-orders. Talk presented to Institute of Mathematical Behavioral Sciences, UC Irvine (Host: Louis Narens).
• 4/13 Regularized learning in reproducing kernel Banach spaces. Talk presented to MIT Cambridge Machine Learning Colloquium (Host: Tomaso Poggio).
• 3/14 Shanghai Jiaotong Univerisity Separating stimulus and response components in event related potential waveforms (Host: Baoling Lu)
• 4/14 Shanghai Jiaotong University, Institute of Natural Sciences, Learning by samples: A reproducing kernel Banach space (RKBS) approach (Host: David Cai)
• 4/14 Shanghai Jiaotong University, Zhiyuan College, Mind, Machine and Mathematics (invited by President Jie Zhang)
• 5/14 Oxford University, Information geometry: From divergence functions to geometric structures. Computational Statistics and Machine Learning seminar (Host: Remi Bardenet)
• 5/14 University College London, Gatsby Institute, Regularized learning in reproducing kernel Banach spaces. (Host: Zoltan Szabo)
• 5/14 Cambridge University, Information geometry: From divergence functions to geometric structures. Cambridge Statistics Seminar. (Host: Philip, Dawid).
• 9/14 Harvard University, Department of Mathematics, Yau’s Student Seminar. (Host: Peter Smille).
• 9/14 Harvard University, Center for Applied Mathematics and Applications. Regularized learning in Reproducing Kernel Banach Space. (Host: H.T. Yau).
• 9/14 Supelec, CNRS France, Laboratory of Signals and Systems. Regularized learning in reproducing kernel Banach spaces. (Host: Ali Mohammad-Djafari).
• 10/14 Harvard University, Department of Statistics, Information Geometry: From divergence functions to geometric structures. (Host: Jun Liu).
• 11/14 Harvard University, Department of Psychology, Cognition, Brain and Behaviors Forum, Reflexive theory-of-mind reasoning in games. (Host: Max Krasnow)
• 12/14 MIT, Center for Brain, Mind and Machine Reflexive theory-of-mind reasoning in games. (Host: Tomaso Poggio).
• 12/14 MIT, Research Laboratory of Electronics (RLE) Seminar Information geometry: geometric structures induced from divergence functions. (Host: Lizhong Zheng)
• 12/14 Yale University, Sackler Institute Physical and Engineering Biology (PEB) Seminar Motion sensors, orientation sensors, and object segregation. (Host: Weimin Zhong)
• 4/15 Georgia Institute of Technology, School of Industrial and Systems Engineering (ISyE) Bayesian change-detection with identification: Sequential algorithm and neuronal evidence (Host: Yajun Mei)
• 4/15 Rensselaer Polytechnic Institute, Cognitive Science Department, Reflexive theory-of-mind reasoning and meta-games (Host: Selmer Bringsjord)
• 5/15 Sichuan University Information geometry: from divergence function to metric, equiaffine, and symplectic structure (Host: Guozong Zhao)
• 8/15 Central China Normal University Threshold and imprecise numerical representation (Host: Zongkui Zhou)
• 1/16 Indiana University Cognitive Science Colloquium, Regularized learning in reproducing kernel Banach spaces. (Host: James Townsend)
• 1/16 Indiana University Department of Statistics, Information geometry: from divergence to geometric structures. (Host: Michael Trosset)
• 2/16 Institute of Mathematics Statistics, Japan, Symplectic and (para)-Kahler structures on statistical manifolds (Host: Shiro Ikeda)
• 4/16 Harvard University, Center for Mathematical Sciences and Applications, Kahler and para-Kahler structures in information geometry. (Host: S.T. Yau)
• 5/16 Central University of Finance and Economics. Recursive theory-of-mind reasoning about belief and desire using 2x2 games. (Host: Jie Zhang)
• 5/16 Chinese Academy of Science, Academy of Mathematics and Systems Science, Kahler and para-Kahler structures in information geometry. (Host: Feiming Huang)
• 8/16 East China Normal University, School of Information Science, Threshold and imprecise numerical representation. (Host: Yixiang Chen)
• 10/16 Wayne State University, Department of Mathematics Colloquium, Information geometry: Geometric science of information (Host: Hengguang Li)
• 10/16 University of California Los Angeles, Department of Statistics Colloquium, Information geometry: From divergence functions to geometric structures. (Host: Arash Amini)
• 10/16 University of California Irvine, Institute of Mathematical Behavioral Sciences (IMBS) Colloquium, Information geometry: From divergence functions to geometric structures. (Host: Louis Narens).
• 12/16 University of Shenzhen, Bayesian Change-Detection with Identification:
Sequential Algorithm and Neural Evidence (Host: Yejun He) • 12/16 South China University of Science and Technology, Bayesian change-detection
with identification: sequential algorithm and neural evidence (Host: Qi Wang) • 5/17 Institute of Biophysics, Chinese Academy of Sciences, Threshold, tolerance
space, and imprecise numerical representation. (Host: Lin Chen). • 5/17 International Business and Finance University. Recursive theory-of-mind
reasoning about belief and desire using 2x2 games (Host: Haiyun Zhang). • 7/17 University College London. Information geometry: Geometrization of science of
information (Host: Karl Friston) • 9/17 University of Notre Dame. Information Geometry: Geometrization of statistical
inference and information. (Host: Gerald Miseolek) • 9/17 University of Michigan, Department of Mathematics Colloquium Talk.
Information geometry: Geometrization of statistical inference and information. (Host: Lizhen Ji)
• 11/17 CNRS-L2S, France. Differential geometry for statistical and entropy-based inference. (Host: Ali Mohhamad-Djafari)
• 11/17 University of Montpelier, Institute of Alexander Grothendieck, France. Information geometry: differentiable manifold for statistical and entropy-based Inference. (Host: Michel Boyom).
• 11/17 Max Planck Institute of Mathematics in the Sciences, Leipzig, Germany. Statistical manifold and entropy-based inference. (Host: Nihat Ay).
• 1/18 Shanghai Mental Health Center, China. Recursive theory-of-mind reasoning using 2x2 games. (Host: Chunbo Li)
• 3/18 CMSA, Harvard University Statistical manifold with almost (para-)complex structures. (Host: ST Yau)
• 4/18 West Lake Institute of Advanced Studies. On the core algorithms of adaptive intelligence. (Host: Tian Xu)
• 4/18 Chern Institute of Mathematics. Statistical manifold and entropy-based inference. (Host: Huitao Feng)
• 4/18 School of Mathematics, Xiamen University. Statistical manifold with almost (para-)complex structures. (Host: Chunping Zhong)
• 4/18 International Business and Finance University. Dynamics of boom-and-bust: Analysis of investor behavior during the 2015 Chinese stock market crash. (Host: Haiyun Zhang).
• 4/18 School of Social Sciences, Tsinghua University Dynamics of boom-and-bust: Analysis of investor behavior during the 2015 Chinese stock market crash. (Host: Tian-Guang Meng)
Invited Presentation at Symposia, Workshops, Panels and Closed Group Meetings
• 8/91 Seventh Annual Computational Neuroscience Workshop, Woods Hole, MA. • 92 NSF Workshop on Face Recognition, Washington DC. • 9/92 NATO Advanced Research Workshop on Shapes in Images, Driebergen, the
Netherlands (Host: Lex Toet). • 7/93 Summer Workshop on “Brain and Computation”, Fudan University, Shanghai,
PRC (sponsored by National Natural Science Foundation of China.) • 8/94 Symposium on Neurobiology for Chinese Young Scientists, Beijing, PRC
(sponsored by Institute of Biophysics, Chinese Academy of Sciences). • 8/95 Symposium on Strategies for Developing Cognitive Science in China (sponsored
by Chinese Academy of Sciences). • 7/97 Workshop for Junior Mathematical Behavioral Scientists, Irvine, CA (Host:
Duncan Luce)
• 7/98 Workshop on Multi-Reflexive Models of Agent Behavior, Los Alamos, NM (U.S. Department of Defense)
• 00. NSF/DARPA Workshop on Development and Learning, East Lansing. • 8/00 Random Utility 2000: A workshop on choice random utility theory. Fuqua School
of Business, Duke University, Durham, NC (Host: Mike Regenwetter). • 4/01 Regional Meeting of International Society for Bayesian Analysis, Laguna Beach,
CA (Host: Dale Poirer). • 8/01 Workshop on ADHD and cognitive psychology. Beijing Medical University,
Beijing, China (Host: Yufeng Wang) • 11/01 Mid-Western Mini-Conference in Mathematical Psychology. Purdue University,
West Lafayette, IN (Nov 1-2) (Host: Ehtibar Dzhafarov) • 11/02 Midwestern Conference in Mathematical Psychology. Purdue University, West
Lafayette, IN (Nov 9-10). Presented a talk “Reference duality and representational duality in multidimensional scaling of psychological space”.
• 12/02 Visual binding and perceptual organization in early vision. Talk presented to a one-day workshop organized by Lab of Cognitive Science, Institute of Biophysics, Chinese Academy of Science, Beijing, China, Dec 29, 2002
• 11/03 Winer Memorial Conference in Mathematical Psychology, Purdue University, West Lafayette (November 2003). Presented a talk “The manifold of probability density functions”.
• 11/04 Winer Memorial Conference in Mathematical Psychology. Purdue University, West Lafayette (November 2004). Presented a talk “Theory of mind reasoning and games”.
• 1/06 RIKEN BSI Forum: Information Geometry from the Perspective of Affine Differential Geometry (Organizer: Jun Zhang and Hiroshi Matsuzoe). Presented talk From convex analysis to bidualistic structure on statistical manifolds.
• 2/06 5th Workshop on Differential Geometry and Information Geometry at Nagoya University (Organizer: Hiroshi Matsuzoe). Presented talk Two kinds of duality in classical information geometry.
• 2/06 AFOSR Workshop on Decision Modeling and Behavior in Uncertain and Complex Environments, Tucson, AZ (Organizer: Cole Smith). Presented talk Reflexive Theory-of-Mind reasoning in games: From empirical evidence to modeling.
• 3/06 Institute of Statistical Mathematics Workshop on Independent Component Analysis, Tokyo, Japan (Organizer: Mihoko Minami). Presented talk Change detection with identification: A Bayesian algorithm for sequential analysis.
• 4/06 AFOSR Cognition and Behavior Program Review Workshop (Organizer: Jerry Busemeyer). Presented talk Optimal detection of change-point with identification: A Bayesian algorithm for sequential analysis.
• 5/06 DIMACS Workshop on Polyhedral Combinatorics and Random Utility, Rutgers University, NJ (Organizer: Sasa Pekec).Presented talk Borda scores and aggregation of preference: A geometric-combinatoric and a topological approach.
• 9/06. First International Workshop on Information Geometry and Affine Differential Geometry, Sichuan University, China (Organizers: Jun Zhang and Anmin Li). Presented talk Convex-based divergence and α−Hessian statistical manifolds.
• 5/07. RIKEN Brain Science Institute, Japan (Host: Shun-ichi Amari). • 11/07 Purdue Winer Conference (Organizer: Ehtibar Dzhafarov). Presented talk The
manifold of probability density functions: its referential duality and representational duality.
• 04/08 First International Workshop on Social Computing, Behavioral Modeling, and Prediction (SBP2008), Phoenix, AZ (April 2008). Presented talk Metagame strategies of nation-states, with application to Cross-Strait relations. Paper presented (as the second author, coauthor: Alex Chavez).
• 5/08 DARPA Deep Green kickoff meeting, Orlando, FL (Arranged: Robert Bonneau)
Presented talk Metagame approach to recursive reasoning in action planning. • 5/08 RIKEN Minisymposium on Information Geometry (Organizer: Shunichi Amari)
Presented talk Geometric structures induced from divergence functions. • 6/08 International Workshop on Advanced Computation Intelligence Macau (satellite
workshop of WCCI2008) Presented talk Kullback-Leibler divergence, Bregman divergence, and their generalizations.
• 10/08 AFOSR Workshop “Surface representation in midlevel vision.” (Organizer: Christopher Tyler) Presented a talk.
• 11/08. LIX Colloquium on Emerging Trends in Visual Computing (ETVC’08), Paris, FRANCE (Organizer: Frank Nielsen).
• 5/09. Workshop on Cognitive Science: From Molecules to Computation, Beijing, CHINA, (Organizer: Z.-L.Lu and Y. Luo).
• 5/09. Workshop at the School of Life Sciences, University of Science and Technology of China. (Host: Guoqiang Bi).
• 05/10 Behavioral and Quantitative Game Theory: Conference on Future Directions (BQGT2010), Newport Beach, California (May 2010). Presented talk Reflexive Theory-of-Mind Reasoning in Games: From Empirical Evidence to Modeling.
• 8/11 RIKEN Information Geometry Workshop, August 31 – Sept 1, 2011, Wakoshi, Japan (Host: Shunichi Amari). Presented talk Alpha-Hessian structure.
• 6/12 AFOSR Workshop on Catastrophic Risk, SRI, CA (Host: Graciela Chichilnisky). Presented talk Modeling preference in non-Hausdorff topological spaces.
• 7/12 3D Geometry/Imaging Conference, Kunming, China (Arranged: David Gu). Presented a talk Information geometry: From divergence function to metric, equiaffine, and symplectic structures.
• 4/13 CLION Symposium 2013, University of Memphis (Hosts: Robert Kozma and Xiangen Hu). Presented talk Non-Hausdorff topology in social sciences.
• 4/13 Townsend Festschrift 2013, University of Indiana (Hosts: Jerome Busemeyer et al.). Presented talk Modeling preference space with non-Hausdorff topology.
• 7/13 The Second Cognitive Science Beijing Symposium, Institute of Psychology, Chinese Academy of Sciences, (Organizer: Hongbin Wang et al.) Presented talk Reflexive theory-of-mind reasoning in games.
• 7/13 Frontier in Modern Biomathematics Summer School, Hunan Normal University, Changsha (Host: Wei Lin) Presented talk Introductory lecture on information geometry.
• 11/13 Institute of Mathematical and Applications (IMA, Minnesota) Workshop on Modern Applications of Homology and Cohomology (Organizers: Lek-Heng Lim et al.) Presented talk Information geometry: from divergence function to metric, equiaffine, symplectic, and Kahler structures on a manifold.
• 4/14. 2nd International Workshop on Information Geometry and Affine Differential Geometry, Fudan University (Organizer: Jun Zhang). Presented a talk.
• 10/14 Asia-Pacific Computational Cognitive and Behavioral Sciences APCCBS 2014 (Organizer: Jay Myung, Xiangen Hu). Presented talk Modeling intransitive indifference algebraically and numerically.
• 10/14 Symposium at Central China Normal University, Department of Psychology, On the mathematical foundation of relational structures. (Host: Xiangen Hu).
• 11/14 Fields Institute, Toronto. Conference on Calculus of Variations, Geometry, Inequality, and Design. (Organizer: Robert McCann and Young-Heon Kim). Presented talk Information geometry: an introduction.
• 07/15 Cognitive Science Beijing Symposium (CSBS2015), Beijing, China (Organizer: Hongbin Wang). Presented talk Recursive theory-of-mind reasoning about belief and desire using 2x2 games
• 09/15 ICMS workshop on Computational Information Geometry for Image and Signal Processing. Edinburg, UK (Organizer: Frank Critchley). Presented a talk Symplectic and (para)-Kahler structures on statistical manifolds.
• 05/16 Presented an invited plenary talk to International Conference on Intelligent Science and Big Data Engineering (IScIDE 2016), Guangzhou, China (May, 2016). Geometric structures induced from divergence functions.
• 12/16 Information Geometry: Mathematical foundation of information science. The Chinese University of Hong Kong at Shenzhen. 2016 International Workshop on Mathematical Issues of Information Sciences (MIIS’2016).
• 1/17 Mathematical foundation of knowledge and learning spaces. Education Sciences Symposium: Learning Behavior and Education Data Mining, Central China Normal University, Wuhan, China (Organizer: Xiangen Hu)
• 5/17 Regularized learning under reproducing kernel Banach space. International Conference of Kernel-Based Approximation Methods in Machine Learning, Guangzhou, China (Organizer: Ye Qi)
• 11/17 Max Planck Institute of Mathematical Sciences. (Organizer: ) Statistical manifold and entropy-based inference.
• 1/18. Deep Learning Workshop Hong Kong University of Science and Technology (Organizer: Yang Wang and YuanYao).
• 2/18 Topology and Algebraic Geometry in Statistics (TAGS) workshop. Max Planck Institute of Mathematical Sciences. (Organizer: Bernt)
• * 3/18 Connecting information geometry to geometric mechanics. GSO Conference. Max Planch Institute for Mathematics in Sciences, Leipzig, Germany (Organizer: Nihat Ay) Unable to attend.
• 3/18 Geometry, Imaging, Computing (GIC) workshop, CMAS Harvard (Organizer: Yang Wang) Geometry of maximal entropy inference.
• 4/18 Cognition and Computation Workshop. (Organizer: Lin Chen, Jun Zhang, and Sheng He).
• 5/18 Fifth Bayesian, Fiducial, and Frequentist Conference: Foundation of Data Science. BFF5 (Organizer: Peter Song). Geometry of maximal entropy inference.
• 8/18. First China Symposium on Cognitive Computing and Hybrid Intelligence (Organizer: Chinese Cognitive Science Association and Chinese Association of Automation.)
Refereed/Accepted Paper and Poster Presentations at Open Conferences
• Barcelona, Spain (May 2018). Presented a talk (with Jan Naudts as second author) to Entropy 2018 Information geometry under monotone embedding.
• Barcelona, Spain (May 2018). Presented a poster (with Melvin Leok as second author) to Entropy 2018 Connecting information geometry with geometric mechanics.
• Paris, France (Nov 2017). Presented a talk (with Sergey Grigorian as first author) to Geometric Science of Information GSI’2017 (Para-)Hermitian connections for information geometry.
• Paris, France (Nov 2017). Presented a talk (with Jan Naudts as second author) to Geometric Science of Information GSI’2017 Information geometry under monotone embedding, Part I.
• Paris, France (Nov 2017). Presented a talk (with Jan Naudts as first author) to Geometric Science of Information GSI’2017 Information geometry under monotone embedding. Part II.
• Warwick, UK (Aug 2017). Presented a talk (with Yinbin Lei as second author) to 50th Annual Conference of the Society of Mathematical Psychology. Subset system: Mathematical foundation for relational semantics.
• Copenhagen, Denmark (June 2016). To presented a talk (with Y Sun) to 2016 European Mathematical Psychology Group meeting. Topology, order, and imprecise numerical representation.
• Copenhagen, Denmark (June 2016). To present a poster (with Y Sun and Y Lei) to 2016 European Mathematical Psychology Group meeting. Subset system: mathematical foundation of relational structures
• Prague, Czech (June 2016). To present a talk (with T Fei as lead author) to International Conference of Information Geometry and Its Applications IV (IGAIA IV). Kahler and para-Kahler structures for information geometry.
• Paris, France (Oct 2015). Presented a talk (with James Tao as lead author) to Geometric Science of Information GSI’2015 Transformation and coupling relations for affine connections.
• Newport Beach, CA (July 2015). Presented a talk at Harvesting Naturally Occurring Data to Further Theory-Building in Psychology (Organized by Rob Goldstone and Mark Streyers) Extracting Structures in Cross-Table Data at 48th Annual Conference of the Society of Mathematical Psychology.
• Newport Beach, CA (July 2015). Presented a poster (with Zifu Shi as lead author) at 48th Annual Conference of the Society of Mathematical Psychology. Probabilistic inference as transportation of measures between sample spaces
• Newport Beach, CA (July 2015). Presented a talk (with Yinbin Lei as lead author) at 48th Annual Conference of the Society of Mathematical Psychology. An alternative notion of topological convergence
• Newport Beach, CA (July 2015) and Shoal Bay, Australia (Feb 2015). Presented a talk (with Matt Jones as co-author) to the 48th Annual Conference of the Society of Mathematical Psychology, and by lead co-author Matt Jones to 2015 Australia Mathematical Psychology Conference. Duality of similarity- and feature-based learning via kernel methods, with application to selective attention.
• Amboise, France (September 2014). Presented an invited talk Geometric structures induced from divergence functions to Bayesian Inference and Maximum Entropy Methods MaxEnt2014 (Organizers: Ali Mohammad-Djafari and Frederic Barbaresco)
• Amboise, France (September 2014). Invited tutorial Reference duality and representation duality in information geometry presented to MaxEnt 2014 (Organizers: Ali Mohammad-Djafari and Frederic Barbaresco)
• Quebec City (August 2014). Presented a talk at Symmetry: Theory and Applications Symposium (Organizer: Zygmund Pizlo), 47th Annual Conference of the Society of Mathematical Psychology. Perspectivity, projectivity, and binocular vision.
• Quebec City (August 2014). Presented a talk (with student co-author Yitong Sun) at 47th Annual Conference of the Society of Mathematical Psychology. Subset system: Mathematical foundation of relational structures.
• Quebec City (August 2014). Presented a poster (with first-author Jordan Meyer) to Cognitive Science Society Conference.
• Paris, France (August 2013). Presented a talk (with co-author Fubo Li) to Geometric Science of Information, SI2013 (Organizers: Frederic Barbaresco and Frank Nielsen). “Symplectic and Kahler structures on statistical manifolds induced from divergence functions.”
• Potsdam, Germany (August 2013). Present a talk to 46th Annual Conference of the Society of Mathematical Psychology (MathPsych 2013). “Bayes theorem, mutual information and Shannon source-channel coding: an information geometric perspective.”
• Potsdam, Germany (August 2013). Present a talk (with co-author Yitong Sun) to Symposium in Honor of R. Duncan Luce, MathPsych 2013. “Topological characterization of interval and semi-orders”.
• Paris, France (May 2013). Co-authored an abstract (with Jong-Hwan Lee and Soo-Young Lee) and presented to Third Symposium on Biology and Decision Making
(SBDM 2013), ICM-UPMC.“Neural bases of strategic decision-making of human mind: a functional MRI study.”
• Seattle, WA (June 2013). Co-authored an abstract (with Jong-Hwan Lee and Soo-Young Lee) and presented the 19th Annual Meeting of the Organization for Human Brain Mapping (OHBM). “Neuronal networks of human strategic reasoning: A preliminary functional MRI study.”
• Dalian, China (July 2012). Present a paper to Third International Conference on Intelligent Control and Information Processing (ICICIP). “Integrate-and-fire neuron modeled as a low-rate sparse time-encoding device”, with Praveen Yenduri (first author) and Anna Gilbert.
• Atlanta, GA (July 2012). Poster presented at CNS*2012 by Organization of Computational Neuroscience “Model of a sparse encoding neuron”, with Praveen Yenduri (first and presenting author) and Anna Gilbert.
• Toronto, Canada (May 2012). Presented a poster to 2012 International Meeting for Autism Research (IMFAR).“New scoring of the Autism Diagnostic Interview-Revised (ADI-R) algorithm using signal-detection analysis”, with So Hyun Kim (first author) and Catherine Lord.
• Yamaguchi, Japan (August 2011). Presented a 45-minute plenary talk to the 58th Geometry Symposium of Japan. “From divergence function to information geometry: Metric, equiaffine, and symplectic structures”.
• Boston, MA (July 2011). Presented a paper to the 44th Annual Meeting of the Society for Mathematical Psychology (SMP2011). “Regularized learning in Banach spaces and reference-representational biduality”.
• Leipzig, Germany (August 2010). Presented a paper to the Third International Conferences on Information Geometry and Its Applications (IGAIA3) “Divergence functions and their relation to metrical, equiaffine and symplectic structures on the manifold”
• Amsterdam, the Netherlands (August 2009). Presented a paper to the 42nd Annual Meeting of the Society for Mathematical Psychology (SMP2009) “Reconstructing stimulus- and response-related components in neural recordings with arbitrary reaction time distributions”.
• Atlanta GA (June 2009). Presented an invited talk as the corresponding author at the 2009 International Joint Conference on Neural Networks (IJCNN2009) “Reproducing Kernel Banach Spaces for machine learning” (Coauthors: Haizhang Zhang and Yuesheng Xu)
• Changsha China (June 2009). Presented a paper at the First World Congress on Global Optimization (WCGO2009) “Information geometry: duality, convexity, and divergence”.
• Washington DC (Nov 2008). Presented a poster as the second author at the 2008 Annual Meeting of the Society for Neuroscience (SfN2008) “Sensorimotor locus of buildup activity in monkey LIP neurons” (Coauthor: Joonkoo Park)
• Washington DC (Nov 2008). Presented a poster as the second author at the 2008 Annual Meeting of the Society for Neuroscience (SfN2008) “A new look at causal strength from signal detection framework
• Washington DC (July 2008). Presented a paper at the 41st Annual Meeting of the Society for Mathematical Psychology “A new look at causal strength from signal detection framework”
• Salt Lake City, UT (Feb 2008). As second author of an accepted poster at Computational and Systems Neuroscience 2008 (Cosyne 2008) “Buildup activity in monkey LIP neurons reflects accumulation of a motoric rather than a sensory representation: reanalysis of Roitman & Shadlen (2002)” (Coauthor: Joonkoo Park)
• Irvine, CA (July 2007). Presented a poster as the second author at the 40th Annual Meeting of the Society for Mathematical Psychology “Sensorimotor Locus of Neuronal Buildup Activity in Monkey Lateral Intraparietal (LIP) Area During a
Choice Reaction-Time Task” (Coauthor: Joonkoo Park) • Irvine, CA (July 2007). Presented a talk at the 40th Annual Meeting of the Society for
Mathematical Psychology “Causal Power: A new look from signal-detection framework”.
• Auburn, AL (July 2007). Presented a talk at the First International Workshop on Sequantial Analysis Meeting of the Society for Mathematical Psychology “Change detection with identification: A Bayesian algorithm for sequential analysis”.
• Gainesville, FL (Feb 2007). Presented a talk at the 2nd International Conference on Complementarity, Duality, and Global Optimization “Legendre-Fenchel Transform and Biorthogonal Coordinates of Differentiable Manifolds”.
• Vancouver, CA (July 2006). Presented a talk at the 39th Annual Meeting of the Society for Mathematical Psychology “Change detection with identification: A Bayesian algorithm for sequential analysis”.
• Pittsburgh, PA (June 2006). Presented a talk at ICML2006 Workshop on ROC Analysis in Machine Learning “Upper and lower bounds of area under ROC curves and index of discriminability of classifier performance”.
• Benidorm, Spain (June 2006) Presented a poster at the 2006 International Conference on Bayesian Analysis (Valencia 8) “Invariant prior in Bayesian inference and equiaffine structure of statistical manifold”.
• Tokyo, Japan (December 2005). Presented an invited talk at the Second International Conference on Information Geometry and Applications (IGAIA2) “Referential duality and representational duality on statistical manifolds”.
• Washington, D.C. (November, 2005). Presented a poster as the first author at the 35th Annual Meeting of the Society for Neuroscience “Profile analysis of integrative coding in ventral pallidal neurons” (co-authors Amy Tindell, Kent Berridge, J Wayne Aldridge).
• Blacksburg (August, 2005). Presented a talk “Dual differential geometry induced by Bregman divergence” at International Conference on Complementarity, Duality, and Global Optimization in Science and Engineering (CDGO-05).
• Memphis (August 2005). 38th Annual Meeting of the Society for Mathematical Psychology. Presented a talk “Perceptual binding on visual manifold” to a special symposium (Organizers: Jun Zhang and Jim Townsend).
• Memphis (August 2005). 38th Annual Meeting of the Society for Mathematical Psychology. Presented a talk “Non-parametric estimate of sensitivity in Signal Detection Theory”.
• Memphis (August 2005). 38th Annual Meeting of the Society for Mathematical Psychology. Presented a talk “Informative normalized maximum likelihood and model complexity” (co-author Jay Myung).
• Ann Arbor (July 2004). 37th Annual Meeting of the Society for Mathematical Psychology. Presented a talk “Divergence functions on infinite-dimensional manifolds” to a special symposium (Organizer: Dzhafarov).
• Ann Arbor (July 2004). 37th Annual Meeting of the Society for Mathematical Psychology. Presented a talk “A Bayesian model of choice reaction times under prior knowledge of target onset uncertainty” to a special symposium (Organizers: Roger Ratcliff and Jun Zhang).
• Ann Arbor (July 2004). 37th Annual Meeting of the Society for Mathematical Psychology. Coauthored an abstract for oral presentation “Foundations of information geometry” presented by the first author, Peter Hasto.
• Madrid, Spain (August 2003). European Mathematical Psychology Group meeting. Presented a talk “Duality in Fechnerian scaling of multidimensional psychological space” to a special symposium (organized by Dzhafarov and Colonius).
• Ogden, UT (July 2003). 36th Annual Meeting of the Society for Mathematical Psychology, July 24-27. Presented a talk “The manifold of probability density function”.
• Oxford, OH 2002 35th Annual Meeting of the Society for Mathematical Psychology, July 25-28. Coauthored an abstract for oral presentation “Aggregation of interval-scaled utility: A topological characterization” presented by the first author, Matt Jones, with Gilberto Simpson as third author.
• Oxford, OH 2002 35th Annual Meeting of the Society for Mathematical Psychology, July 25-28. Presented a talk “Dual scaling between comparison and reference stimuli in multidimensional psychological space”.
• Pescara, Italy, 2002 International Conference on Information Geometry and Its Applications, July 1-5. Presented a talk “Information divergence and convex analysis”.
• Beijing, China 2001 Third International Conference on Cognitive Science. Presented a talk “Dimension overlap and S-S and S-R compatibility: a structural model”.
• Kingston, ON, Canada 2000 33rd Annual Meeting of the Society for Mathematical Psychology. Presented a talk “Binary choice, subset choice, random utility, and ranking: a common framework under permutahedron”.
• Kingston, ON, Canada 2000 33rd Annual Meeting of the Society for Mathematical Psychology. Coauthored an abstract for oral presentation “Cooperate solution in iterated prisoner's dilemma game” presented by the first author, Matt Jones.
• Mannheim, Germany 1999 30th Annual Meeting of the European Mathematical Psychology Group, August 30 – Sept 2. Presented a talk “Riemannian geometric framework for perceptual binding and object ‘oneness’.”
• Santa Cruz, CA 1999 32nd Annual Meeting of the Society for Mathematical Psychology. Presented a talk “Non-parametric estimate of sensitivity and response bias in signal detection framework” with Shane Mueller as second author.
• Santa Cruz, CA 1999 32nd Annual Meeting of the Society for Mathematical Psychology. Presented a talk “Preference rank-order induced from pairwise comparisons” with Matt Jones as second author.
• Santa Cruz, CA 1999 32nd Annual Meeting of the Society for Mathematical Psychology. Coauthored an abstract for oral presentation “Learning to cooperate in a prisoner's dilemma game under Markov framework” presented by Matt Jones as the first author.
• Nashville, TN 1998 31st Annual Meeting of the Society for Mathematical Psychology Presented a talk “Geometric representation of interval-scale vectors”.
• Nashville, TN 1998 31st Annual Meeting of the Society for Mathematical Psychology Coauthored an abstract for oral presentation “Reinforcement learning of cufoff criterion in signal detection framework” presented by the first author Shane Mueller.
• Fort Lauderdale, FL 1998 Annual Meeting of Association for Research in Vision and Ophthalmology
• Bloomington, IN 1997 30th Annual Meeting of the Society for Mathematical Psychology
• Chapel Hill, NC 1996 29th Annual Meeting of the Society for Mathematical Psychology
• San Francisco, CA 1996 Third Annual Meeting of Cognitive Neuroscience Society • San Diego, CA 1995 Twenty-fifth Annual Meeting of Society for Neuroscience • San Francisco, CA 1995 Second Annual Meeting of Cognitive Neuroscience Society • Sarasota, FL 1994 Annual Meeting of Association for Research in Vision and
Ophthalmology • San Francisco, CA 1994 First Annual Meeting of Cognitive Neuroscience Society • Washington, DC 1993 Twenty-third Annual Meeting of Society for Neuroscience • Sarasota, FL 1991 Annual Meeting of Association for Research in Vision and
Ophthalmology • Sarasota, FL 1990 Annual Meeting of Association for Research in Vision and
Ophthalmology • San Diego, CA 1990 International Joint Conference on Neural Networks
• Phoenix, AZ 1989 Nineteenth Annual Meeting of Society for Neuroscience • Denver, CO 1988 Neural Information Processing System Conference • Toronto, Canada 1988 Eighteenth Annual Meeting of Society for Neuroscience
Published Abstracts
Zhang, J. and De Valois, R.L. (1988). Unconfounding orientation and direction components in the visual neuron's response. Soc. Neurosci. Abstr. 14: 457.
Zhang, J. and Wu, S. (1989). Motion field detectors and motion search-light. Soc. Neurosci. Abstr. 15: 624.
Zhang, J. and Wu, S. (1990). Structure of visual perception. Invest. Ophthalmol. Vis. Sci. (Suppl.) 31: 528.
Zhang, J., De Valois, K.K. and Yeh, S.-L. (1991). Motion contrast and integration with moving apertures. Invest. Ophthalmol. Vis. Sci. (Suppl.) 32: 956.
Chen, I-P., De Valois, R.L. and Zhang, J. (1991). Roles of power and phase spectra in texture discrimination. Invest. Ophthalmol. Vis. Sci. (Suppl.) 32: 1039.
Zhang, J. (1993). A motion segregation model implemented by V1 mechanisms. Soc. Neurosci. Abstr. 19: 868.
Zhang, J., Riehle, A., Hohnke, C., Requin, J. (1994). Single neuron response and sensorimotor processing. Proceedings of the First Meeting of the Cognitive Neuroscience Society (p.71).
Zhang, J. (1994). Figural segregation and direction discrimination in random-dot kinematogram. Invest. Ophthalmol. Vis. Sci. (Suppl.) 35: 1900.
Zhang, J., Riehle, A., Kornblum, S., Requin, J. (1995). Single neuron in a stimulus-response compatibility task. Proceedings of the Second Meeting of the Cognitive Neuroscience Society (p.44).
Zhang, J., Riehle, A., Kornblum, S., Requin, J. (1995). Single neuron activities during a sensorimotor decision. Soc. Neurosci. Abstr. 21: 2075.
Zhang, J., and Chang, M. (1996). Decomposition of stimulus and response components in event-related potential. Proceedings of the Third Meeting of the Cognitive Neuroscience Society (p.22).
Zhang, J. (1996). A model for figure-ground segregation in primary visual cortex (V1). Invest. Ophthalmol. Vis. Sci. (Suppl.) 37: s484.
Zhang, J. and Chang, M. (1996). A model of operant reinforcement learning. J. Math. Psychol., 40, 358-359.
Zhang, J. (1996). A geometric framework of perceptual binding. J. Math. Psychol., 40, 370. Chang, M. and Zhang, J. (1996). An information-based model of choice reaction time. J. Math.
Psychol., 40, 366. Zhang, J. (1997). Analyzing stimulus-response locus of recorded neural activity. J. Math.
Psychol., appeared in vol. 42, 482. Zhang, J. and Mueller, S. (1997). Reinforcement learning of choice probability. J. Math.
Psychol., appeared in vol 42, 486. Zhang, J. and Yu, G (1997). Computer simulation of a model of perceptual segregation. J.
Math. Psychol., appeared in vol 42, 481-482. Chang, M. and Zhang, J. (1997). An exact Bayesian model of choice RT tasks incorporating
prior knowledge. J. Math. Psychol., appeared in vol 42, 490-491. Zhang, J. and De Valois, R.L. (1998). Unconfounding orientation and direction tuning in
cotical neuron's response. Invest. Ophthalmol. Vis. Sci. (Suppl.) 39: s324. Polk, T.A., Behensky, C., Pond H., Frisch, S., Shatz, M., and Zhang, J. (2001). Differential
lateralization in first- vs second-language processing: an fMRI study. Abstract of the 42nd Annual Meeting of the Psychonomic Society.
Zhang, J. (2005). Divergence functions on infinite-dimensional manifolds. J. Math. Psychol., 49, 101.
Zhang, J. (2005). A Bayesian model of choice reaction times under prior knowledge of target onset uncertainty. J. Math. Psychol., 49, 94.
Hasto, P. and Zhang, J. (2005). Foundations of non-parametric information geometry. J. Math.
Psychol., 49, 88-89. Jung, E.K., Zhang, J., Lee, S.Y., and Lee, J.H. (2013). A preliminary study on neural basis of
collaboration as mediated by the level of reasoning, The International Conference on Neural Information Processing (ICONIP), 2013.
Lee, J.H., Zhang, J., and Lee, S.Y. (2013). Neuronal networks of human strategic reasoning: A preliminary functional MRI study, Organization for Human Brain Mapping (OHBM), 2013.
Lee, J.H., Zhang, J., and Lee, S.Y. (2013). Neural bases of strategic decision-making of human mind: a functional MRI study, Third Symposium on Biology and Decision Making (SBDM 2013), ICM-UPMC, Paris, France, May 29-30, 2013.
Lee, J.H., Kim, H.C., Zhang, J., and Lee, S.Y. (2014). Neural bases of human strategic reasoning from functional MRI study, OHBM 2014, Hamburg, Germany.
Jung, E.K., Zhang, J., Lee, S.Y., and Lee, J.H. (2015). Multivariate approach toward classification of competition and collaboration: An fMRI study, 3rd IEEE International Winter Workshop on Brain-Computer Interface (BCI), 2015
Manuscripts Under Review or Revision Zhang, J and Chang, M. (under revision) A Bayesian random-walk model of choice reaction
times under prior knowledge of target onset uncertainty. Chavez, A. and Zhang, J. (under revision). Reflexivity in reasoning about other minds: An
empirical investigation. Zhang, J. (under revision) Sufficiency, necessity, and causal powers in probabilistic causation.
Journal of Mathematical Psychology. Zhang, J. (in preparation) Marginalization versus conditioning: Additive non-negative decomposition of Kullback-Leibler divergence. Manuscripts in Preparation Ying, G. and Zhang J. (in preparation). Explaining P3-anteriorization in a Go/Nogo task. Zhang, J. (in preparation). Non-parametric estimate of SDT sensitivity from two data points. Zhang, J. (in preparation). Dynamic programming under finite temperature: A note. Zhang, J. (in preparation). Visual perception modeled as a differentiable manifold. Zhang, J. (in preparation). Amortization: A functional equation approach
