Shibo Hao

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 — 60 citations into it
• Reinforcement Learning — 14 citations into it

Whom Shibo Hao trusts overall

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

1. David R Ha
2. J. Urgen Schmidhuber
3. Geoffrey E. Hinton
4. Jason Wei
5. Rémi Coulom
6. Diederik P. Kingma
7. Yoshua Bengio
8. Ilya Sutskever
9. Alex Krizhevsky
10. Yann LeCun

Who trusts Shibo Hao overall

1. Shunyu Yao
2. Zirui Zhao
3. Theodore R. Sumers
4. Andy Zhou
5. Andrew Zhao
6. Xu Huang
7. Xiaohan Xu
8. Xingyu Chen
9. Wee Sun Lee

Papers from Shibo Hao's perspective

Ordered by how strongly the researchers Shibo Hao 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Reasoning with Language Model is Planning with World Model (2023) — 1,077 citations
• Training Large Language Models to Reason in a Continuous Latent Space (2024) — 634 citations