Kelvin Shuangjian Zhang
I am a Postdoctoral Fellow at CREST - ENSAE ParisTech, Université Paris-Saclay, working with Professor Marco Cuturi and Professor Gabriel Peyré.
I received my Ph.D. degree from Department of Mathematics, University of Toronto in 2018, under supervision of Professor Robert J. McCann. During summer 2018, I visited Professor Guillaume Carlier at MOKAPLAN, INRIA.
Optimal Transport, and its applications in
- - Economics (Screening, Auction)
- - Machine Learning (GANs)
- - Statistics (MCMC)
Interested Topics Include:
- Prescribed Jacobian equation, Monge–Ampère equation
- Langevin Monte Carlo, Fokker–Planck equation
- The principal-agent framework, Duopoly models
- Wasserstein GANs, Domain adaptation
Publications and Preprints:
 Circular cone: a novel approach for protein ligand shape matching using modified PCA [pdf]. Kelvin Shuangjian Zhang, Jun Du, Liang Zhang, Cheng Zeng, Qiao Liu, Tao Zhang and Gang Hu. Computer Methods and Programs in Biomedicine 108 (1) (2012) 168-175.
 Implicit manifold learning on generative adversarial networks [pdf]. Kry Yik Chau Lui, Yanshuai Cao, Maxime Gazeau, Kelvin Shuangjian Zhang. ICML2017 Workshop on Implicit Generative Models, Sydney, 2017.
 On concavity of the monopolist's problem facing consumers with nonlinear price preferences [pdf], with Robert J. McCann. To appear in Comm. Pure Appl. Math.
 Existence in multidimensional screening with general nonlinear preferences [pdf]. submitted.
 Existence, Uniqueness, Concavity and Geometry of the Monopolist’s Problem Facing Consumers with Nonlinear Price Preferences [pdf]. PhD Thesis, University of Toronto, 2018.
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Dr. Kelvin Shuangjian Zhang
Center for Research in Economics and Statistics
École Nationale de la Statistique et de l'Administration Économique (ENSAE ParisTech)
Campus Paris-Saclay, 5 Avenue Henry Le Chatelier
91120 Palaiseau, FRANCE
Office: Room 3028
Email: shuangjian.zhang [at(@)] ensae.fr