Bo An

Artificial Intelligence · with Gao · 2011–2018

A researcher in the Science corpus: 5 papers; trusts 37 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it; #20,818 of 35,345 by trust here, #19,873 by citations
• Reinforcement Learning — 22 citations into it
• Safety, Robustness & Interpretability — 15 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Computer Networks and Communications — 8 citations into it
• Evaluation & Benchmarks — 6 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Bo An trusts overall

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

1. Eric E. C. van Damme
2. Shike Mei
3. Chih-Jen Lin
4. Theodoros Evgeniou
5. Battista Biggio
6. Emanuel Parzen
7. Francisco S. Melo
8. Richard S. Sutton
9. Carlos Guestrin
10. Xiaojin Zhu

Who trusts Bo An overall

1. Y. Liu
2. Arunesh Sinha
3. Zhiyi Tian
4. Vale Tolpegin
5. Mengchen Zhao

Papers from Bo An's perspective

Ordered by how strongly the researchers Bo An 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. ImageNet: A large-scale hierarchical image database
6. Reinforcement Learning: An Introduction
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Et al
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Measuring the Distance Between Finite Markov Decision Processes (2016) — 79 citations
• Efficient Label Contamination Attacks Against Black-Box Learning Models (2017) — 74 citations
• Data Poisoning Attacks on Multi-Task Relationship Learning (2018) — 46 citations
• Refinement of Strong Stackelberg Equilibria in Security Games (2011) — 65 citations
• Learning in Multi-agent Systems with Sparse Interactions by Knowledge Transfer and Game Abstraction (2015) — 19 citations