| 2025 | ICLR | Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models. | Jerry Yao-Chieh Hu, Maojiang Su, En-Jui Kuo, Zhao Song, Han Liu |
| 2025 | ICLR | Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency. | Jerry Yao-Chieh Hu, Wei-Po Wang, Ammar Gilani, Chenyang Li, Zhao Song, Han Liu |
| 2025 | ICLR | On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality. | Jerry Yao-Chieh Hu, Weimin Wu, Yi-Chen Lee, Yu-Chao Huang, Minshuo Chen, Han Liu |
| 2025 | ICML | Nonparametric Modern Hopfield Models. | Jerry Yao-Chieh Hu, Bo-Yu Chen, Dennis Wu, Feng Ruan, Han Liu |
| 2025 | ICML | Latent Variable Estimation in Bayesian Black-Litterman Models. | Thomas Yuan-Lung Lin, Jerry Yao-Chieh Hu, Paul W. Chiou, Peter Lin |
| 2025 | ICML | Fast and Low-Cost Genomic Foundation Models via Outlier Removal. | Haozheng Luo, Chenghao Qiu, Maojiang Su, Zhihan Zhou, Zoe Mehta, Guo Ye, Jerry Yao-Chieh Hu, Han Liu |
| 2025 | ICML | In-Context Learning as Conditioned Associative Memory Retrieval. | Weimin Wu, Teng-Yun Hsiao, Jerry Yao-Chieh Hu, Wenxin Zhang, Han Liu |
| 2025 | ICML | In-Context Deep Learning via Transformer Models. | Weimin Wu, Maojiang Su, Jerry Yao-Chieh Hu, Zhao Song, Han Liu |
| 2024 | ICLR | STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction. | Dennis Wu, Jerry Yao-Chieh Hu, Weijian Li, Bo-Yu Chen, Han Liu |
| 2024 | ICML | Outlier-Efficient Hopfield Layers for Large Transformer-Based Models. | Jerry Yao-Chieh Hu, Pei-Hsuan Chang, Haozheng Luo, Hong-Yu Chen, Weijian Li, Wei-Po Wang, Han Liu |
| 2024 | ICML | On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis. | Jerry Yao-Chieh Hu, Thomas Lin, Zhao Song, Han Liu |
| 2024 | ICML | Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models. | Dennis Wu, Jerry Yao-Chieh Hu, Teng-Yun Hsiao, Han Liu |
| 2024 | ICML | BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model. | Chenwei Xu, Yu-Chao Huang, Jerry Yao-Chieh Hu, Weijian Li, Ammar Gilani, Hsi-Sheng Goan, Han Liu |
| 2023 | AAAI | Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty. | Zhenyu Pan, Anshujit Sharma, Jerry Yao-Chieh Hu, Zhuo Liu, Ang Li, Han Liu, Michael C. Huang, Tong Geng |
| 2023 | ICML | Feature Programming for Multivariate Time Series Prediction. | Alex Daniel Reneau, Jerry Yao-Chieh Hu, Ammar Gilani, Han Liu |