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

Whom Liang Tang trusts overall

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

  1. Lihong Li
  2. J. Langford
  3. Olivier Chapelle
  4. Peter Auer
  5. Wei Chu
  6. Joannès Vermorel
  7. Yehuda Koren
  8. Andreas Maurer
  9. Robi Polikar
  10. Richard S. Sutton

Who trusts Liang Tang overall

  1. Lihong Li
  2. Chunqiu Zeng
  3. Daniel Russo
  4. Guanjie Zheng
  5. Maria Dimakopoulou
  6. Qing Wang
  7. D. Głowacka
  8. Fuzheng Zhang
  9. Benjamin Van Roy
  10. 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.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Reinforcement Learning: An Introduction
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers