Haoxiang Wang
Artificial Intelligence · 2024–2025
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 69 citations into it
Whom Haoxiang Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John Schulman
- Ilya Loshchilov
- Kawin Ethayarajh
- Bradley C. Boehmke
- Hanze Dong
- Geoffrey E. Hinton
- Paul Christiano
- Yoshua Bengio
- Diederik P. Kingma
- Rafael Rafailov
Who trusts Haoxiang Wang overall
Papers from Haoxiang Wang's perspective
Ordered by how strongly the researchers Haoxiang Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Proximal Policy Optimization Algorithms (arXiv.org)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts (2024) — 398 citations
- Cosmos World Foundation Model Platform for Physical AI (2025) — 753 citations
- RLHF Workflow: From Reward Modeling to Online RLHF (2024)