Hong Cheng

Information Systems · SIGMOD Conference · 2007–2014

A researcher in the Science corpus: 9 papers; trusts 63 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom Hong Cheng trusts overall

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

  1. Jiawei Han
  2. Xifeng Yan
  3. Mohammed J. Zaki
  4. Jian Pei
  5. Rakesh Agrawal
  6. Michihiro Kuramochi
  7. Jianyong Wang
  8. George Karypis
  9. Mukund Deshpande
  10. Xiaoxin Yin

Who trusts Hong Cheng overall

  1. Tong Wang
  2. Charu C. Aggarwal
  3. Nafise Sadat Moosavi
  4. Cynthia Rudin
  5. Meng Fang
  6. Yixiang Fang
  7. Jaroslav M. Fowkes
  8. Bryan Perozzi
  9. Basura Fernando
  10. Francisco Herrera

Papers from Hong Cheng's perspective

Ordered by how strongly the researchers Hong Cheng 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  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