Hongzhi Wang

Artificial Intelligence · with Li · 2012–2019

A researcher in the Science corpus: 3 papers; trusts 41 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Hongzhi Wang trusts overall

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

  1. Hans-Peter Kriegel
  2. Aleksandar Lazarevic
  3. Arthur Zimek
  4. Charu C. Aggarwal
  5. Jiawei Han
  6. Markus Goldstein
  7. Martin Ester
  8. Ricardo José Gabrielli Barreto Campello
  9. Peer Kröger
  10. Dragoljub Pokrajac

Who trusts Hongzhi Wang overall

  1. Fei Ye
  2. Adrian G. Bors
  3. Benedikt Pfülb
  4. Tyler L. Hayes
  5. Bin Shao
  6. Ronald Kemker
  7. Alexander Rainer Tassilo Gepperth
  8. Sadegh M. Milajerdi

Papers from Hongzhi Wang's perspective

Ordered by how strongly the researchers Hongzhi Wang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers