Jun Zhang

29 papers B 1Journal 16Unranked 12
YearRankTypeTitle / Venue / Authors
2022 J jnl
Tsallis and Rényi Deformations Linked via a New λ-Duality.
IEEE Trans. Inf. Theory
Ting-Kam Leonard Wong, Jun Zhang
2022 J jnl
When Optimal Transport Meets Information Geometry.
CoRR
Gabriel Khan, Jun Zhang
2022 J jnl
λ-Deformation: A Canonical Framework for Statistical Manifolds of Constant Curvature.
Entropy
Jun Zhang, Ting-Kam Leonard Wong
2021 J jnl
Closure System and Its Semantics.
Axioms
Yinbin Lei, Jun Zhang
2021 — conf
Recent Developments on the MTW Tensor.
GSI
Gabriel Khan, Jun Zhang
2021 J jnl
Tsallis and Rényi deformations linked via a new λ-duality.
CoRR
Ting-Kam Leonard Wong, Jun Zhang
2019 — conf
Generalizing Topological Set Operators.
ISDT
Yinbin Lei, Jun Zhang
2019 — conf
Hessian Curvature and Optimal Transport.
GSI
Gabriel Khan, Jun Zhang
2019 — conf
New Geometry of Parametric Statistical Models.
GSI
Jun Zhang, Gabriel Khan
2019 J jnl
On Reproducing Kernel Banach Spaces: Generic Definitions and Unified Framework of Constructions.
CoRR
Rongrong Lin, Haizhang Zhang, Jun Zhang
2018 J jnl
Null preference and the resolution of the topological social choice paradox.
Math. Soc. Sci.
Mark Greenfield, Jun Zhang
2017 — conf
(Para-)Holomorphic Connections for Information Geometry.
GSI
Sergey Grigorian, Jun Zhang
2017 J jnl
Connecting Information Geometry and Geometric Mechanics.
Entropy
Melvin Leok, Jun Zhang
2017 — conf
Information Geometry Under Monotone Embedding. Part I: Divergence Functions.
GSI
Jun Zhang, Jan Naudts
2017 — conf
Information Geometry Under Monotone Embedding. Part II: Geometry.
GSI
Jan Naudts, Jun Zhang
2015 — conf
Multivariate approach toward classification of competition and collaboration: An fMRI study.
BCI
Eun Kyung Jung, Jong-Hwan Lee, Jun Zhang, Soo-Young Lee
2015 — conf
Transformations and Coupling Relations for Affine Connections.
GSI
James Tao, Jun Zhang
2014 — conf
A preliminary study on neural basis of strategic reasoning to social decision making.
BCI
Eun Kyung Jung, Jong-Hwan Lee, Jun Zhang, Soo-Young Lee
2013 — conf
A Preliminary Study on Neural Basis of Collaboration as Mediated by the Level of Reasoning.
ICONIP (1)
Eun Kyung Jung, Jun Zhang, Soo-Young Lee, Jong-Hwan Lee
2013 J jnl
Vector-valued reproducing kernel Banach spaces with applications to multi-task learning.
J. Complex.
Haizhang Zhang, Jun Zhang
2012 J jnl
Regularized learning in Banach spaces as an optimization problem: representer theorems.
J. Glob. Optim.
Haizhang Zhang, Jun Zhang
2009 J jnl
A Dynamic Systems Model of Infant Attachment.
IEEE Trans. Auton. Ment. Dev.
Gregory T. Stevens, Jun Zhang
2009 J jnl
Adaptive learning via selectionism and Bayesianism, Part I: Connection between the two.
Neural Networks
Jun Zhang
2009 J jnl
Adaptive learning via selectionism and Bayesianism, Part II: The sequential case.
Neural Networks
Jun Zhang
2009 J jnl
Reproducing Kernel Banach Spaces for Machine Learning.
J. Mach. Learn. Res.
Haizhang Zhang, Yuesheng Xu, Jun Zhang
2009 B conf
Reproducing kernel Banach spaces for machine learning.
IJCNN
Haizhang Zhang, Yuesheng Xu, Jun Zhang
2008 J jnl
Dynamics of Learning Near Singularities in Layered Networks.
Neural Comput.
Haikun Wei, Jun Zhang, Florent Cousseau, Tomoko Ozeki, Shun-ichi Amari
2004 J jnl
Divergence Function, Duality, and Convex Analysis.
Neural Comput.
Jun Zhang
1988 — conf
A Model for Resolution Enhancement (Hyperacuity) in Sensory Representation.
NIPS
Jun Zhang, John P. Miller