Tsung-Hui Chang

Computer Networks and Communications · 2011–2020

A researcher in the Science corpus: 6 papers; trusts 60 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Tsung-Hui Chang trusts overall

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

  1. Angelia Nedić
  2. Arindam Banerjee
  3. Asuman E. Ozdaglar
  4. Neal Parikh
  5. Stephen P. Boyd
  6. Dimitri P. Bertsekas
  7. Minghui Zhu
  8. Michael G. Rabbat
  9. Zhi-Quan Tom Luo
  10. Yurii E. Nesterov

Who trusts Tsung-Hui Chang overall

  1. Angelia Nedić
  2. Bicheng Ying
  3. Soomin Lee
  4. Anis Elgabli
  5. Qiang Li
  6. Kun Yuan
  7. Tao Yang
  8. Jihong Park
  9. Ali H. Sayed
  10. Yiliang Liu

Papers from Tsung-Hui Chang's perspective

Ordered by how strongly the researchers Tsung-Hui Chang trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers