Tong Qin

Artificial Intelligence · with Wu · 2018

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Tong Qin trusts overall

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

  1. Maizar Raissi
  2. Robert Tibshirani
  3. Michael D. Schmidt
  4. Steven L. Brunton
  5. Yann LeCun
  6. Bryan C. Daniels
  7. Hod Lipson
  8. Josh C. Bongard
  9. Giang Tran
  10. Dimitrios Giannakis

Who trusts Tong Qin overall

  1. Hongwei Guo
  2. Sharmila Karumuri
  3. Lu Lu
  4. Weiqi Ji
  5. Xiaoying Zhuang
  6. Rohit Tripathy
  7. Pengzhan Jin
  8. Weilun Qiu
  9. Vincent Le Guen
  10. Daniel A. Messenger

Papers from Tong Qin's perspective

Ordered by how strongly the researchers Tong Qin 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers