Haixun Wang

Computer Networks and Communications · 2000–2014

A researcher in the Science corpus: 14 papers; trusts 54 researchers and is trusted by 43 researchers here, as inferred from the citation graph.

Subfields

Whom Haixun Wang trusts overall

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

  1. Mark Newman
  2. William W. Cohen
  3. Vagelis Hristidis
  4. Pedro M. Domingos
  5. Yizong Cheng
  6. Geoff Hulten
  7. Yoav Freund
  8. Charu C. Aggarwal
  9. Steven L. Salzberg
  10. Sanjay Agrawal

Who trusts Haixun Wang overall

  1. Ludmila I. Kuncheva
  2. Tak-Chung Fu
  3. Alexey Tsymbal
  4. Stanislav Busygin
  5. Yixiang Fang
  6. Jiawei Han
  7. Stephen Coggeshall
  8. Tyler L. Hayes
  9. Charu C. Aggarwal
  10. Rui Xu

Papers from Haixun Wang's perspective

Ordered by how strongly the researchers Haixun Wang 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers