Jiaheng Hu

Artificial Intelligence · 2024

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 75 citations into it
• Computer Vision and Pattern Recognition — 56 citations into it
• Control and Systems Engineering — 49 citations into it
• Reinforcement Learning — 49 citations into it
• Biomedical Engineering — 25 citations into it

Whom Jiaheng Hu trusts overall

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

1. Sergey Levine
2. Pieter Abbeel
3. Jemin Hwangbo
4. Geoffrey E. Hinton
5. John Schulman
6. Diederik P. Kingma
7. Alex Krizhevsky
8. Richard S. Sutton
9. Yoshua Bengio
10. Kaiming He

Papers from Jiaheng Hu's perspective

Ordered by how strongly the researchers Jiaheng Hu 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. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Proximal Policy Optimization Algorithms (arXiv.org)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset (2024) — 905 citations
• Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes (2024) — 389 citations