Tao Xie

Information Systems · 2008 ACM/IEEE 30th International Conference on Software Engineering · 2005–2019

A researcher in the Science corpus: 11 papers; trusts 61 researchers and is trusted by 47 researchers here, as inferred from the citation graph.

Subfields

Whom Tao Xie trusts overall

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

  1. Reid Holmes
  2. Rakesh Agrawal
  3. Jiawei Han
  4. Benjamin Livshits
  5. Jianyong Wang
  6. Willem Visser
  7. Zhenmin Li
  8. Sarfraz Khurshid
  9. Gail C. Murphy
  10. Gary T. Leavens

Who trusts Tao Xie overall

  1. Jaroslav M. Fowkes
  2. Charles Sutton
  3. Koushik Sen
  4. Seyed Mohammad Ghaffarian
  5. Tung Thanh Nguyen
  6. Andreas Zeller
  7. Gordon Fraser
  8. Andrzej Wasylkowski
  9. Hao Zhong
  10. Jacob Burnim

Papers from Tao Xie's perspective

Ordered by how strongly the researchers Tao Xie 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. GENERATIVE ADVERSARIAL NETS
  10. Learning Multiple Layers of Features from Tiny Images

Their papers