Hua-Jun Zeng

Artificial Intelligence · 2004–2018

A researcher in the Science corpus: 6 papers; trusts 14 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Hua-Jun Zeng trusts overall

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

  1. Eric R. Ziegel
  2. Badrul Munir Sarwar
  3. Alex Smola
  4. Thorsten Joachims
  5. Vladimir Naumovich Vapni
  6. Yiming Yang
  7. Bernhard Schölkopf
  8. Alexandrin Popescul
  9. George Karypis
  10. J. Breese

Who trusts Hua-Jun Zeng overall

  1. Tamara G. Kolda
  2. Paolo Ferragina
  3. Evrim Acar
  4. Donald Goldfarb
  5. Wei Chu
  6. Evangelos E. Papalexakis
  7. Ricardo A. Baeza-Yates
  8. Yue Shi
  9. Nick Vannieuwenhoven
  10. Zhicheng Dou

Papers from Hua-Jun Zeng's perspective

Ordered by how strongly the researchers Hua-Jun Zeng 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers