Tianle Liu

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 47 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it; #30,456 of 35,345 by trust here, #23,077 by citations
• Representation & Self-Supervised Learning — 23 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it; #18,676 of 21,575 by trust here, #15,162 by citations

Whom Tianle Liu trusts overall

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

1. Mingsheng Long
2. Kaiming He
3. Yaroslav Ganin
4. Geoffrey E. Hinton
5. Eric Tzeng
6. Alex Krizhevsky
7. Michel Talagrand
8. Judy Hoffman
9. Individualized Treat
10. Ding-Xuan Zhou

Who trusts Tianle Liu overall

1. Fei Ye
2. Hao Wang
3. Ying Jin
4. Qicheng Lao
5. Shuhao Cui
6. Jian Liang

Papers from Tianle Liu's perspective

Ordered by how strongly the researchers Tianle Liu 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. ImageNet Large Scale Visual Recognition Challenge
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. GENERATIVE ADVERSARIAL NETS
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Bridging Theory and Algorithm for Domain Adaptation (2019) — 844 citations