Hanjiang Lai

Computer Vision and Pattern Recognition · 2014–2021

A researcher in the Science corpus: 3 papers; trusts 176 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 55 citations into it; #5,300 of 21,575 by trust here, #7,176 by citations
• Artificial Intelligence — 47 citations into it
• Meta & Continual Learning — 21 citations into it
• Representation & Self-Supervised Learning — 19 citations into it
• Optimization & Training — 10 citations into it
• Media Technology — 7 citations into it
• Model Architectures — 7 citations into it
• Information Retrieval & Search — 6 citations into it

Whom Hanjiang Lai trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Ruslan Salakhutdinov
4. Ilya Sutskever
5. Brian Kulis
6. Mohammad Norouzi
7. Diederik P. Kingma
8. Yoshua Bengio
9. Wei David Liu
10. Yann LeCun

Who trusts Hanjiang Lai overall

1. Mingsheng Long
2. Shiv Ram Dubey
3. Jianmin Wang
4. Jingkuan Song
5. Wu-Jun Li
6. Han Zhu
7. Chen Huang
8. Zhangjie Cao
9. Haomiao Liu
10. Jun Wang

Papers from Hanjiang Lai's perspective

Ordered by how strongly the researchers Hanjiang Lai 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Simultaneous feature learning and hash coding with deep neural networks (2015) — 854 citations
• Supervised Hashing for Image Retrieval via Image Representation Learning (2014) — 977 citations
• Towards Better Plasticity-Stability Trade-off in Incremental Learning: A Simple Linear Connector (2021) — 77 citations