Chongyi Zheng

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 88 citations into it; #30,254 of 35,345 by trust here, #16,166 by citations
• Reinforcement Learning — 64 citations into it; #1,999 of 2,242 by trust here, #1,973 by citations
• Computer Vision and Pattern Recognition — 35 citations into it
• LLM Agents & Tool Use — 7 citations into it
• Computer Networks and Communications — 5 citations into it; #8,371 of 9,886 by trust here, #6,788 by citations

Whom Chongyi Zheng trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Sergey Levine
4. Richard S. Sutton
5. Yoshua Bengio
6. Alex Krizhevsky
7. Jakob N. Foerster
8. Pieter Abbeel
9. Yann LeCun
10. Kaiming He

Who trusts Chongyi Zheng overall

1. Tonghan Wang

Papers from Chongyi Zheng's perspective

Ordered by how strongly the researchers Chongyi Zheng 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. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Human-level control through deep reinforcement learning

Their papers

• BridgeData V2: A Dataset for Robot Learning at Scale (2023) — 762 citations
• Learning Domain Invariant Representations in Goal-conditioned Block MDPs (2021) — 19 citations
• Learning Nearly Decomposable Value Functions Via Communication Minimization (2019) — 179 citations