Haoli Bai

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 140 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 70 citations into it; #30,747 of 35,345 by trust here, #16,771 by citations
• Computer Vision and Pattern Recognition — 70 citations into it; #18,854 of 21,575 by trust here, #11,286 by citations
• Efficiency & Compression — 45 citations into it
• Model Architectures — 16 citations into it
• Optimization & Training — 12 citations into it
• Evaluation & Benchmarks — 9 citations into it

Whom Haoli Bai trusts overall

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

1. Kaiming He
2. Yoshua Bengio
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. X. Zhang
6. Yann LeCun
7. Diederik P. Kingma
8. Karen Simonyan
9. Ilya Sutskever
10. Ross B. Girshick

Who trusts Haoli Bai overall

1. Lin Wang
2. Zhen Wang
3. Sehoon Kim
4. Jing Liu
5. Xinyin Ma
6. Zi-Mei Yao
7. Nafise Sadat Moosavi
8. Xiaoxia Wu
9. Kuk-Jin Yoon
10. Tianyu Wu

Papers from Haoli Bai's perspective

Ordered by how strongly the researchers Haoli Bai 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. 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. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• BinaryBERT: Pushing the Limit of BERT Quantization (2020) — 276 citations
• TranSlider: Transfer Ensemble Learning from Exploitation to Exploration (2020) — 13 citations
• Few Shot Network Compression via Cross Distillation (2019) — 69 citations