Le-kui Zhou

Representation & Self-Supervised Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Representation & Self-Supervised Learning — 11 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Le-kui Zhou trusts overall

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

1. Joseph B. Kruskal
2. Sam T. Roweis
3. Mikhail Belkin
4. Aditya Grover
5. Purnamrita Sarkar
6. John C. Duchi
7. Arthur P. Dempster
8. Bryan Perozzi
9. Peter D. Hoff
10. Yuxiao Dong

Who trusts Le-kui Zhou overall

1. Seyed Mehran Kazemi
2. Woojeong Jin
3. Srijan Kumar
4. Palash Goyal
5. Junshan Wang
6. Aravind Sankar
7. Emanuele Rossi
8. Rishab Goel
9. Guojie Song
10. Xikun Zhang

Papers from Le-kui Zhou's perspective

Ordered by how strongly the researchers Le-kui Zhou 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Dynamic Network Embedding by Modeling Triadic Closure Process (2018) — 508 citations