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ORCIDJerry Yao-Chieh Hu
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2020 – today
- 2024
[c8]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- [c7]Jerry Yao-Chieh Hu, Pei-Hsuan Chang, Haozheng Luo, Hong-Yu Chen, Weijian Li, Wei-Po Wang, Han Liu:
Outlier-Efficient Hopfield Layers for Large Transformer-Based Models. ICML 2024 - [c6]Jerry Yao-Chieh Hu, Thomas Lin, Zhao Song, Han Liu:
On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis. ICML 2024 - [c5]Dennis Wu, Jerry Yao-Chieh Hu, Teng-Yun Hsiao, Han Liu:
Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models. ICML 2024 - [c4]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. ICML 2024 - [i15]Jerry Yao-Chieh Hu, Thomas Lin, Zhao Song, Han Liu:
On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis. CoRR abs/2402.04520 (2024) - [i14]Dennis Wu, Jerry Yao-Chieh Hu, Teng-Yun Hsiao, Han Liu:
Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models. CoRR abs/2404.03827 (2024) - [i13]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 abs/2404.03828 (2024) - [i12]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 abs/2404.03830 (2024) - [i11]Jerry Yao-Chieh Hu, Bo-Yu Chen, Dennis Wu, Feng Ruan, Han Liu:
Nonparametric Modern Hopfield Models. CoRR abs/2404.03900 (2024) - [i10]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 abs/2405.20653 (2024) - [i9]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 abs/2406.01514 (2024) - [i8]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 abs/2406.03136 (2024) - [i7]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 abs/2407.01079 (2024) - [i6]Erzhi Liu, Jerry Yao-Chieh Hu, Alex Daniel Reneau, Zhao Song, Han Liu:
Differentially Private Kernel Density Estimation. CoRR abs/2409.01688 (2024) - [i5]Jerry Yao-Chieh Hu, Dennis Wu, Han Liu:
Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes. CoRR abs/2410.23126 (2024) - 2023
- [c3]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: 9354-9363 - [c2]Alex Daniel Reneau, Jerry Yao-Chieh Hu, Ammar Gilani, Han Liu:
Feature Programming for Multivariate Time Series Prediction. ICML 2023: 29009-29029 - [c1]Jerry Yao-Chieh Hu, Donglin Yang, Dennis Wu, Chenwei Xu, Bo-Yu Chen, Han Liu:
On Sparse Modern Hopfield Model. NeurIPS 2023 - [i4]Alex Daniel Reneau, Jerry Yao-Chieh Hu, Chenwei Xu, Weijian Li, Ammar Gilani, Han Liu:
Feature Programming for Multivariate Time Series Prediction. CoRR abs/2306.06252 (2023) - [i3]Jerry Yao-Chieh Hu, Donglin Yang, Dennis Wu, Chenwei Xu, Bo-Yu Chen, Han Liu:
On Sparse Modern Hopfield Model. CoRR abs/2309.12673 (2023) - [i2]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 abs/2312.17346 (2023) - [i1]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 abs/2312.17372 (2023)
Coauthor Index
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