Liang Tang
Management Science and Operations Research · with Li · 2013–2015
A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Management Science and Operations Research — 26 citations into it; #5,640 of 11,946 by trust here, #4,746 by citations
- Artificial Intelligence — 20 citations into it
- Reinforcement Learning — 19 citations into it
- Information Systems — 8 citations into it; #5,834 of 8,771 by trust here, #6,501 by citations
- Recommender Systems — 7 citations into it
Whom Liang Tang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Lihong Li
- J. Langford
- Olivier Chapelle
- Peter Auer
- Wei Chu
- Joannès Vermorel
- Yehuda Koren
- Andreas Maurer
- Robi Polikar
- Richard S. Sutton
Who trusts Liang Tang overall
- Lihong Li
- Chunqiu Zeng
- Daniel Russo
- Guanjie Zheng
- Maria Dimakopoulou
- Qing Wang
- D. Głowacka
- Fuzheng Zhang
- Benjamin Van Roy
- Shunbao Chen
Papers from Liang Tang's perspective
Ordered by how strongly the researchers Liang Tang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Reinforcement Learning: An Introduction
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Automatic ad format selection via contextual bandits (2013) — 142 citations
- Personalized Recommendation via Parameter-Free Contextual Bandits (2015) — 95 citations
- Ensemble contextual bandits for personalized recommendation (2014) — 119 citations