Alex Tong Lin - RankMe

19 papers A* 1Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MS-IMAP - A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning. Trans. Mach. Learn. Res. Shay Deutsch, Lionel Yelibi, Alex Tong Lin, Arjun Ravi Kannan
2024	J	`jnl`	Game Theory Meets Data Augmentation. IEEE Trans. Artif. Intell. Yuhan Kang, Samira Zare, Alex Tong Lin, Zhu Han, Stanley J. Osher, Hien Van Nguyen
2024	J	`jnl`	MS-IMAP - A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning. CoRR Shay Deutsch, Lionel Yelibi, Alex Tong Lin, Arjun Ravi Kannan
2022	J	`jnl`	Multi-Agent Shape Control with Optimal Transport. CoRR Alex Tong Lin, Stanley J. Osher
2022	J	`jnl`	Opinion Evolution in Social Networks: Connecting Mean Field Games to Generative Adversarial Nets. IEEE Trans. Netw. Sci. Eng. Hao Gao, Alex Tong Lin, Reginald A. Banez, Wuchen Li, Zhu Han, Stanley J. Osher, H. Vincent Poor
2022	J	`jnl`	Parameter Inference of Time Series by Delay Embeddings and Learning Differentiable Operators. CoRR Alex Tong Lin, Daniel Eckhardt, Robert Scott Martin, Stanley J. Osher, Adrian S. Wong
2022	J	`jnl`	Wasserstein-Based Projections with Applications to Inverse Problems. SIAM J. Math. Data Sci. Howard Heaton, Samy Wu Fung, Alex Tong Lin, Stanley J. Osher, Wotao Yin
2021	—	`conf`	Belief and Opinion Evolution in Social Networks: A High-Dimensional Mean Field Game Approach. ICC Hao Gao, Alex Tong Lin, Reginald A. Banez, Wuchen Li, Zhu Han, Stanley J. Osher, H. Vincent Poor
2021	—	`conf`	Decentralized Multi-Agents by Imitation of a Centralized Controller. MSML Alex Tong Lin, Mark J. Debord, Katia Estabridis, Gary A. Hewer, Guido Montúfar, Stanley J. Osher
2021	—	`conf`	Wasserstein Proximal of GANs. GSI Alex Tong Lin, Wuchen Li, Stanley J. Osher, Guido Montúfar
2021	J	`jnl`	Wasserstein Proximal of GANs. CoRR Alex Tong Lin, Wuchen Li, Stanley J. Osher, Guido Montúfar
2020	J	`jnl`	APAC-Net: Alternating the Population and Agent Control via Two Neural Networks to Solve High-Dimensional Stochastic Mean Field Games. CoRR Alex Tong Lin, Samy Wu Fung, Wuchen Li, Levon Nurbekyan, Stanley J. Osher
2020	J	`jnl`	Projecting to Manifolds via Unsupervised Learning. CoRR Howard Heaton, Samy Wu Fung, Alex Tong Lin, Stanley J. Osher, Wotao Yin
2019	—	`conf`	Affine Natural Proximal Learning. GSI Wuchen Li, Alex Tong Lin, Guido Montúfar
2019	J	`jnl`	CESMA: Centralized Expert Supervises Multi-Agents. CoRR Alex Tong Lin, Mark J. Debord, Katia Estabridis, Gary A. Hewer, Stanley J. Osher
2019	J	`jnl`	Wasserstein Diffusion Tikhonov Regularization. CoRR Alex Tong Lin, Yonatan Dukler, Wuchen Li, Guido Montúfar
2019	A*	`conf`	Wasserstein of Wasserstein Loss for Learning Generative Models. ICML Yonatan Dukler, Wuchen Li, Alex Tong Lin, Guido Montúfar
2018	J	`jnl`	Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization. CoRR Bao Wang, Alex Tong Lin, Zuoqiang Shi, Wei Zhu, Penghang Yin, Andrea L. Bertozzi, Stanley J. Osher
2018	J	`jnl`	Laplacian Smoothing Gradient Descent. CoRR Stanley J. Osher, Bao Wang, Penghang Yin, Xiyang Luo, Minh Pham, Alex Tong Lin