AI For Biology
GenomeOcean: An Efficient Genome Foundation Model Trained on Large-Scale Metagenomic Assemblies
Zhihan Zhou, Robert Riley, Satria Kautsar, Weimin Wu, Rob Egan, Steven Hofmeyr, Shira Goldhaber-Gordon, Mutian Yu, Harrison Ho, Fengchen Liu, Feng Chen, Rachael Morgan-Kiss, Lizhen Shi, Han Liu, Zhong Wang
2025
DNABERT-S: LEARNING SPECIES-AWARE DNA EMBEDDING WITH GENOME FOUNDATION MODELS
Zhihan Zhou*, Weimin Wu*, Harrison Ho, Jiayi Wang, Lizhen Shi, Ramana V Davuluri, Zhong Wang, Han Liu
2024
LLM Theory
Jerry Yao-Chieh Hu*, Weimin Wu*, Yi-Chen Lee*, Yu-Chao Huang*, Minshuo Chen, Han Liu
International Conference on Learning Representations (ICLR) 2025
On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs)
Jerry Yao-Chieh Hu*, Weimin Wu*, Zhuoru Li, Zhao Song, Han Liu
Advances in Neural Information Processing Systems 38 (NeurIPS) 2024
Transformers are Deep Optimizers: Provable In-Context Learning for Deep Model Training
Weimin Wu*, Maojiang Su*, Jerry Yao-Chieh Hu*, Zhao Song, Han Liu
2024
Others
Instance-aware Model Ensemble With Distillation For Unsupervised Domain Adaptation
Weimin Wu, Jiayuan Fan, Tao Chen, Hancheng Ye, Bo Zhang, Baopu Li
2022