Jiuhai Chen

Artificial Intelligence · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 55 citations into it
• Reinforcement Learning — 8 citations into it

Whom Jiuhai Chen trusts overall

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

1. Diederik P. Kingma
2. Ronald J. Williams
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Jimmy Ba
6. Alex Krizhevsky
7. John Schulman
8. Yizhong Wang
9. Ilya Sutskever
10. Kaiming He

Papers from Jiuhai Chen's perspective

Ordered by how strongly the researchers Jiuhai Chen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• ODIN: Disentangled Reward Mitigates Hacking in RLHF (2024) — 129 citations
• From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning (2023) — 373 citations