GenomeOcean: An Efficient Genome Foundation Model Trained on Large-Scale Metagenomic Assemblies   
Zhihan Zhou, Robert Riley, Satria Kautsar, Weimin Wu, ..., Han Liu, Zhong Wang

DNABERT-S: LEARNING SPECIES-AWARE DNA EMBEDDING WITH GENOME FOUNDATION MODELS
Bioinformatics & Intelligent Systems for Molecular Biology (ISMB) 2025
Zhihan Zhou*, Weimin Wu*, Harrison Ho, Jiayi Wang, Lizhen Shi, Ramana V Davuluri, Zhong Wang, Han Liu  

In-Context Deep Learning via Transformer Models
International Conference on Machine Learning (ICML) 2025
Weimin Wu*, Maojiang Su*, Jerry Yao-Chieh Hu*, Zhao Song, Han Liu 

In-Context Learning as Conditioned Associative Memory Retrieval
International Conference on Machine Learning (ICML) 2025
Weimin Wu*, Teng-Yun Hsiao*, Jerry Yao-Chieh Hu*, Wenxin Zhang, Han Liu 

On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality 
International Conference on Learning Representations (ICLR) 2025
Jerry Yao-Chieh Hu*, Weimin Wu*, Yi-Chen Lee*, Yu-Chao Huang*, Minshuo Chen, Han Liu 

On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs)
Advances in Neural Information Processing Systems 38 (NeurIPS) 2024
Jerry Yao-Chieh Hu*, Weimin Wu*, Zhuoru Li, Zhao Song, Han Liu

Universal Approximation with Softmax Attention
Jerry Yao-Chieh Hu, Hude Liu, Hong-Yu Chen, Weimin Wu, Han Liu 

Instance-aware Model Ensemble With Distillation For Unsupervised Domain Adaptation
Weimin Wu, Jiayuan Fan, Tao Chen, Hancheng Ye, Bo Zhang, Baopu Li