Laplacian Smoothing Gradient Descent. - Stanley J. Osher; Bao Wang 001; Penghang Yin; Xiyang Luo; Minh Pham 003; Alex Tong Lin (CoRR, 2018)

Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization. - Bao Wang 001; Alex Tong Lin; Zuoqiang Shi; Wei Zhu 007; Penghang Yin; Andrea L. Bertozzi; Stanley J. Osher (CoRR, 2018)

Affine Natural Proximal Learning. - Wuchen Li; Alex Tong Lin; Guido Montúfar (GSI, 2019)

Wasserstein of Wasserstein Loss for Learning Generative Models. - Yonatan Dukler; Wuchen Li; Alex Tong Lin; Guido Montúfar (ICML, 2019)

CESMA: Centralized Expert Supervises Multi-Agents. - Alex Tong Lin; Mark J. Debord; Katia Estabridis; Gary A. Hewer; Stanley J. Osher (CoRR, 2019)

Wasserstein Diffusion Tikhonov Regularization. - Alex Tong Lin; Yonatan Dukler; Wuchen Li; Guido Montúfar (CoRR, 2019)

APAC-Net: Alternating the Population and Agent Control via Two Neural Networks to Solve High-Dimensional Stochastic Mean Field Games. - Alex Tong Lin; Samy Wu Fung; Wuchen Li; Levon Nurbekyan; Stanley J. Osher (CoRR, 2020)

Projecting to Manifolds via Unsupervised Learning. - Howard Heaton; Samy Wu Fung; Alex Tong Lin; Stanley J. Osher; Wotao Yin (CoRR, 2020)

Wasserstein Proximal of GANs. - Alex Tong Lin; Wuchen Li; Stanley J. Osher; Guido Montúfar (GSI, 2021)

Belief and Opinion Evolution in Social Networks: A High-Dimensional Mean Field Game Approach. - Hao Gao 008; Alex Tong Lin; Reginald A. Banez; Wuchen Li; Zhu Han 001; Stanley J. Osher; H. Vincent Poor (ICC, 2021)

Decentralized Multi-Agents by Imitation of a Centralized Controller. - Alex Tong Lin; Mark J. Debord; Katia Estabridis; Gary A. Hewer; Guido Montúfar; Stanley J. Osher (MSML, 2021)

Parameter Inference of Time Series by Delay Embeddings and Learning Differentiable Operators. - Alex Tong Lin; Daniel Eckhardt; Robert Scott Martin; Stanley J. Osher; Adrian S. Wong (CoRR, 2022)

Multi-Agent Shape Control with Optimal Transport. - Alex Tong Lin; Stanley J. Osher (CoRR, 2022)

Wasserstein-Based Projections with Applications to Inverse Problems. - Howard Heaton; Samy Wu Fung; Alex Tong Lin; Stanley J. Osher; Wotao Yin (SIAM J. Math. Data Sci., 2022)

Opinion Evolution in Social Networks: Connecting Mean Field Games to Generative Adversarial Nets. - Hao Gao 008; Alex Tong Lin; Reginald A. Banez; Wuchen Li; Zhu Han 001; Stanley J. Osher; H. Vincent Poor (IEEE Trans. Netw. Sci. Eng., 2022)

MS-IMAP - A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning. - Shay Deutsch; Lionel Yelibi; Alex Tong Lin; Arjun Ravi Kannan (CoRR, 2024)

Game Theory Meets Data Augmentation. - Yuhan Kang; Samira Zare; Alex Tong Lin; Zhu Han 001; Stanley J. Osher; Hien Van Nguyen (IEEE Trans. Artif. Intell., 2024)