Guozhu Dong

Artificial Intelligence · 1999–2019

A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Guozhu Dong trusts overall

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

  1. Rakesh Agrawal
  2. Stephen D. Bay
  3. Octavio Loyola-González
  4. Jiawei Han
  5. Chih-Jen Lin
  6. Claude E. Shannon
  7. Marylyn DeRiggi Ritchie
  8. Milton García-Borroto
  9. Roberto J. Bayardo Jr.

Who trusts Guozhu Dong overall

  1. Octavio Loyola-González
  2. Jiawei Han
  3. Liliana Lo Presti
  4. Stephen D. Bay
  5. Petra Kralj Novak
  6. Chunyu Wang
  7. Jian Pei
  8. Andreas Holzinger
  9. Hong Cheng
  10. Marco La Cascia

Papers from Guozhu Dong's perspective

Ordered by how strongly the researchers Guozhu Dong 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Et al

Their papers