Tianyi Lin

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 3 papers; trusts 32 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it; #28,630 of 35,345 by trust here, #23,077 by citations
• Optimization & Training — 25 citations into it; #2,260 of 2,601 by trust here, #1,942 by citations
• Computational Mechanics — 22 citations into it; #5,665 of 10,001 by trust here, #4,450 by citations
• Computer Networks and Communications — 20 citations into it; #6,308 of 9,886 by trust here, #7,492 by citations
• Management Science and Operations Research — 19 citations into it; #9,560 of 11,946 by trust here, #6,024 by citations
• Numerical Analysis — 12 citations into it
• Computational Theory and Mathematics — 7 citations into it
• Mathematical Optimization — 7 citations into it

Whom Tianyi Lin trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Panayotis Mertikopoulos
2. Martin A. Zinkevich
3. Constantinos Daskalakis
4. Elad Hazan
5. Yurii E. Nesterov
6. Zhengyuan Zhou
7. Ian J. Goodfellow
8. Michael I. Jordan
9. Asuman E. Ozdaglar
10. Anatoli B. Juditsky

Who trusts Tianyi Lin overall

1. Tianbao Yang
2. Joe Stacey
3. Jose Gallego-Posada
4. Yiming Ying
5. Xiangru Lian
6. Yuanzhi Li
7. Nicolas Loizou
8. Pasquale Minervini
9. Juan Ramirez

Papers from Tianyi Lin's perspective

Ordered by how strongly the researchers Tianyi Lin trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. GENERATIVE ADVERSARIAL NETS
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems (2019) — 610 citations
• Finite-Time Last-Iterate Convergence for Multi-Agent Learning in Games (2020) — 59 citations
• Distributed Linearized Alternating Direction Method of Multipliers for Composite Convex Consensus Optimization (2015) — 150 citations