Jerry Yao-Chieh Hu

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 17

Top Topics

Multivariate Time Series

Traffic Congestion

Top Venues

Publications

Chenwei Xu, Yu-Chao Huang, Jerry Yao-Chieh Hu, Weijian Li, Ammar Gilani, Hsi-Sheng Goan, Han Liu
BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model. CoRR (2024)
Jerry Yao-Chieh Hu, Maojiang Su, En-Jui Kuo, Zhao Song, Han Liu
Computational Limits of Low-Rank Adaptation (LoRA) for Transformer-Based Models. CoRR (2024)
Dennis Wu, Jerry Yao-Chieh Hu, Teng-Yun Hsiao, Han Liu
Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models. CoRR (2024)
Jerry Yao-Chieh Hu, Thomas Lin, Zhao Song, Han Liu
On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis. CoRR (2024)
Jiahao Yu, Haozheng Luo, Jerry Yao-Chieh Hu, Wenbo Guo, Han Liu, Xinyu Xing
Enhancing Jailbreak Attack Against Large Language Models through Silent Tokens. CoRR (2024)
Jerry Yao-Chieh Hu, Bo-Yu Chen, Dennis Wu, Feng Ruan, Han Liu
Nonparametric Modern Hopfield Models. CoRR (2024)
Jerry Yao-Chieh Hu, Pei-Hsuan Chang, Robin Luo, Hong-Yu Chen, Weijian Li, Wei-Po Wang, Han Liu
Outlier-Efficient Hopfield Layers for Large Transformer-Based Models. CoRR (2024)
Haozheng Luo, Jiahao Yu, Wenxin Zhang, Jialong Li, Jerry Yao-Chieh Hu, Xinyu Xing, Han Liu
Decoupled Alignment for Robust Plug-and-Play Adaptation. CoRR (2024)
Jerry Yao-Chieh Hu, Weimin Wu, Zhuoru Li, Zhao Song, Han Liu
On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs). CoRR (2024)
Dennis Wu, Jerry Yao-Chieh Hu, Weijian Li, Bo-Yu Chen, Han Liu
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction. ICLR (2024)
Jerry Yao-Chieh Hu, Donglin Yang, Dennis Wu, Chenwei Xu, Bo-Yu Chen, Han Liu
On Sparse Modern Hopfield Model. NeurIPS (2023)
Chenwei Xu, Jerry Yao-Chieh Hu, Aakaash Narayanan, Mattson Thieme, Vladimir Nagaslaev, Mark Austin, Jeremy Arnold, Jose Berlioz, Pierrick Hanlet, Aisha Ibrahim, Dennis Nicklaus, Jovan Mitrevski, Jason Michael St. John, Gauri Pradhan, Andrea Saewert, Kiyomi Seiya, Brian Schupbach, Randy Thurman-Keup, Nhan Tran, Rui Shi, Seda Ogrenci, Alexis Maya-Isabelle Shuping, Kyle J. Hazelwood, Han Liu
Beyond PID Controllers: PPO with Neuralized PID Policy for Proton Beam Intensity Control in Mu2e. CoRR (2023)
Jerry Yao-Chieh Hu, Donglin Yang, Dennis Wu, Chenwei Xu, Bo-Yu Chen, Han Liu
On Sparse Modern Hopfield Model. CoRR (2023)
Zhenyu Pan, Anshujit Sharma, Jerry Yao-Chieh Hu, Zhuo Liu, Ang Li, Han Liu, Michael C. Huang, Tong Geng
Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty. AAAI (2023)
Alex Daniel Reneau, Jerry Yao-Chieh Hu, Ammar Gilani, Han Liu
Feature Programming for Multivariate Time Series Prediction. ICML (2023)
Alex Reneau, Jerry Yao-Chieh Hu, Chenwei Xu, Weijian Li, Ammar Gilani, Han Liu
Feature Programming for Multivariate Time Series Prediction. CoRR (2023)
Dennis Wu, Jerry Yao-Chieh Hu, Weijian Li, Bo-Yu Chen, Han Liu
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction. CoRR (2023)