A Model for Resolution Enhancement (Hyperacuity) in Sensory Representation. - Jun Zhang 009; John P. Miller (NIPS, 1988)

Divergence Function, Duality, and Convex Analysis. - Jun Zhang 009 (Neural Comput., 2004)

Dynamics of Learning Near Singularities in Layered Networks. - Haikun Wei; Jun Zhang 009; Florent Cousseau; Tomoko Ozeki; Shun-ichi Amari (Neural Comput., 2008)

Reproducing Kernel Banach Spaces for Machine Learning. - Haizhang Zhang; Yuesheng Xu; Jun Zhang 009 (J. Mach. Learn. Res., 2009)

Adaptive learning via selectionism and Bayesianism, Part I: Connection between the two. - Jun Zhang 009 (Neural Networks, 2009)

Adaptive learning via selectionism and Bayesianism, Part II: The sequential case. - Jun Zhang 009 (Neural Networks, 2009)

A Dynamic Systems Model of Infant Attachment. - Gregory T. Stevens; Jun Zhang 009 (IEEE Trans. Auton. Ment. Dev., 2009)

Regularized learning in Banach spaces as an optimization problem: representer theorems. - Haizhang Zhang; Jun Zhang 009 (J. Glob. Optim., 2012)

A Preliminary Study on Neural Basis of Collaboration as Mediated by the Level of Reasoning. - Eun Kyung Jung; Jun Zhang 009; Soo-Young Lee; Jong-Hwan Lee (ICONIP (1), 2013)

Vector-valued reproducing kernel Banach spaces with applications to multi-task learning. - Haizhang Zhang; Jun Zhang 009 (J. Complex., 2013)

A preliminary study on neural basis of strategic reasoning to social decision making. - Eun Kyung Jung; Jong-Hwan Lee; Jun Zhang 009; Soo-Young Lee (BCI, 2014)

Multivariate approach toward classification of competition and collaboration: An fMRI study. - Eun Kyung Jung; Jong-Hwan Lee; Jun Zhang 009; Soo-Young Lee (BCI, 2015)

Transformations and Coupling Relations for Affine Connections. - James Tao; Jun Zhang 009 (GSI, 2015)

(Para-)Holomorphic Connections for Information Geometry. - Sergey Grigorian; Jun Zhang 009 (GSI, 2017)

Information Geometry Under Monotone Embedding. Part II: Geometry. - Jan Naudts; Jun Zhang 009 (GSI, 2017)

Information Geometry Under Monotone Embedding. Part I: Divergence Functions. - Jun Zhang 009; Jan Naudts (GSI, 2017)

Connecting Information Geometry and Geometric Mechanics. - Melvin Leok; Jun Zhang 009 (Entropy, 2017)

Null preference and the resolution of the topological social choice paradox. - Mark Greenfield; Jun Zhang 009 (Math. Soc. Sci., 2018)

Hessian Curvature and Optimal Transport. - Gabriel Khan; Jun Zhang 009 (GSI, 2019)

New Geometry of Parametric Statistical Models. - Jun Zhang 009; Gabriel Khan (GSI, 2019)

On Reproducing Kernel Banach Spaces: Generic Definitions and Unified Framework of Constructions. - Rongrong Lin; Haizhang Zhang; Jun Zhang 009 (CoRR, 2019)

Generalizing Topological Set Operators. - Yinbin Lei; Jun Zhang 009 (ISDT, 2019)

Recent Developments on the MTW Tensor. - Gabriel Khan; Jun Zhang 009 (GSI, 2021)

Closure System and Its Semantics. - Yinbin Lei; Jun Zhang 009 (Axioms, 2021)

When Optimal Transport Meets Information Geometry. - Gabriel Khan; Jun Zhang 009 (CoRR, 2022)

λ-Deformation: A Canonical Framework for Statistical Manifolds of Constant Curvature. - Jun Zhang 009; Ting-Kam Leonard Wong (Entropy, 2022)

Tsallis and Rényi Deformations Linked via a New λ-Duality. - Ting-Kam Leonard Wong; Jun Zhang 009 (IEEE Trans. Inf. Theory, 2022)