Hao-Tien Lewis Chiang

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 44 citations into it; #22,725 of 35,345 by trust here, #19,018 by citations
• Reinforcement Learning — 25 citations into it

Whom Hao-Tien Lewis Chiang trusts overall

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

1. Dean A. Pomerleau
2. William D. Smart
3. Richard S. Sutton
4. Lydia E. Kavraki
5. Chenyi Chen
6. Volodymyr Mnih
7. Aviv Tamar
8. Timothy P. Lillicrap
9. Mark Pfeiffer
10. Melonee Wise

Who trusts Hao-Tien Lewis Chiang overall

1. Kai Zhu
2. Bo Liu
3. Julian Ibarz
4. Chen Tang
5. Qiuhua Huang
6. Jie Tan
7. Tao Zhang
8. Xuesu Xiao
9. Wenhao Yu
10. Peter Stone

Papers from Hao-Tien Lewis Chiang's perspective

Ordered by how strongly the researchers Hao-Tien Lewis Chiang 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Human-level control through deep reinforcement learning
8. Reinforcement Learning: An Introduction
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Learning Navigation Behaviors End-to-End With AutoRL (2018) — 261 citations
• Language to Rewards for Robotic Skill Synthesis (2023) — 422 citations