Xiaoxin Yin

Algorithms & Complexity · 2003–2007

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 51 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaoxin Yin trusts overall

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

  1. Jon M. Kleinberg
  2. Rakesh Agrawal
  3. Peter Clark
  4. Jiawei Han
  5. B. Liu
  6. Glen Jeh
  7. Ramanathan V. Guha
  8. J. Ross Quinlan
  9. Rayadurgam Srikant
  10. Jian Pei

Who trusts Xiaoxin Yin overall

  1. Cynthia Rudin
  2. Tong Wang
  3. Salvatore Ruggieri
  4. Dino Pedreschi
  5. Jiawei Han
  6. Fadi A. Thabtah
  7. Allison Chang
  8. Riccardo Guidotti
  9. Xin Luna Dong
  10. Dimitris J. Bertsimas

Papers from Xiaoxin Yin's perspective

Ordered by how strongly the researchers Xiaoxin Yin 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. Attention is All you Need (Neural Information Processing Systems)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Et al
  10. Authoritative sources in a hyperlinked environment

Their papers