default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJerry Yao-Chieh Hu
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2026
[i35]Ali ElSheikh, Rui-Xi Wang, Weimin Wu, Yibo Wen, Payam Dibaeinia, Jennifer Yuntong Zhang, Jerry Yao-Chieh Hu, Mei Knudson, Sudarshan Babu, Shao-Hua Sun, Aly A. Khan, Han Liu:
Cell-JEPA: Latent Representation Learning for Single-Cell Transcriptomics. CoRR abs/2602.02093 (2026)- [i34]Maojiang Su, Po-Chung Hsieh, Weimin Wu, Mingcheng Lu, Jiunhau Chen, Jerry Yao-Chieh Hu, Han Liu:
Discrete Flow Matching Policy Optimization. CoRR abs/2604.06491 (2026) - 2025
- [c19]Jerry Yao-Chieh Hu, Maojiang Su, En-Jui Kuo, Zhao Song, Han Liu:
Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models. ICLR 2025 - [c18]Jerry Yao-Chieh Hu, Wei-Po Wang, Ammar Gilani, Chenyang Li, Zhao Song, Han Liu:
Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency. ICLR 2025 - [c17]Jerry Yao-Chieh Hu, Weimin Wu, Yi-Chen Lee, Yu-Chao Huang, Minshuo Chen, Han Liu:
On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality. ICLR 2025 - [c16]Jerry Yao-Chieh Hu, Bo-Yu Chen, Dennis Wu, Feng Ruan, Han Liu:
Nonparametric Modern Hopfield Models. ICML 2025 - [c15]Thomas Yuan-Lung Lin, Jerry Yao-Chieh Hu, Paul W. Chiou, Peter Lin:
Latent Variable Estimation in Bayesian Black-Litterman Models. ICML 2025 - [c14]Haozheng Luo, Chenghao Qiu, Maojiang Su, Zhihan Zhou, Zoe Mehta, Guo Ye, Jerry Yao-Chieh Hu, Han Liu:
Fast and Low-Cost Genomic Foundation Models via Outlier Removal. ICML 2025 - [c13]Weimin Wu, Teng-Yun Hsiao, Jerry Yao-Chieh Hu, Wenxin Zhang, Han Liu:
In-Context Learning as Conditioned Associative Memory Retrieval. ICML 2025 - [c12]Weimin Wu, Maojiang Su, Jerry Yao-Chieh Hu, Zhao Song, Han Liu:
In-Context Deep Learning via Transformer Models. ICML 2025 - [c11]Jiahao Yu, Haozheng Luo, Jerry Yao-Chieh Hu, Yan Chen, Wenbo Guo, Han Liu, Xinyu Xing:
Mind the Inconspicuous: Revealing the Hidden Weakness in Aligned LLMs' Refusal Boundaries. USENIX Security Symposium 2025: 259-278 - [i33]Alex Daniel Reneau, Jerry Yao-Chieh Hu, Zhongfang Zhuang, Ting-Chun Liu:
NdLinear Is All You Need for Representation Learning. CoRR abs/2503.17353 (2025) - [i32]Jerry Yao-Chieh Hu, Hude Liu, Hong-Yu Chen, Weimin Wu, Han Liu:
Universal Approximation with Softmax Attention. CoRR abs/2504.15956 (2025) - [i31]Hude Liu, Jerry Yao-Chieh Hu, Zhao Song, Han Liu:
Attention Mechanism, Max-Affine Partition, and Universal Approximation. CoRR abs/2504.19901 (2025) - [i30]Haozheng Luo, Chenghao Qiu
, Maojiang Su, Zhihan Zhou, Zoe Mehta, Guo Ye, Jerry Yao-Chieh Hu, Han Liu:
Fast and Low-Cost Genomic Foundation Models via Outlier Removal. CoRR abs/2505.00598 (2025) - [i29]Thomas Yuan-Lung Lin, Jerry Yao-Chieh Hu, Paul W. Chiou, Peter Lin:
Latent Variable Estimation in Bayesian Black-Litterman Models. CoRR abs/2505.02185 (2025) - [i28]Jerry Yao-Chieh Hu, Xiwen Zhang, Maojiang Su, Zhao Song, Han Liu:
Minimalist Softmax Attention Provably Learns Constrained Boolean Functions. CoRR abs/2505.19531 (2025) - [i27]Jerry Yao-Chieh Hu, Hude Liu, Jennifer Yuntong Zhang, Han Liu:
In-Context Algorithm Emulation in Fixed-Weight Transformers. CoRR abs/2508.17550 (2025) - [i26]Weimin Wu, Xuefeng Song, Yibo Wen, Qinjie Lin, Zhihan Zhou, Jerry Yao-Chieh Hu, Zhong Wang, Han Liu:
Genome-Factory: An Integrated Library for Tuning, Deploying, and Interpreting Genomic Models. CoRR abs/2509.12266 (2025) - [i25]Hude Liu, Jerry Yao-Chieh Hu, Jennifer Yuntong Zhang, Zhao Song, Han Liu:
Are Hallucinations Bad Estimations? CoRR abs/2509.21473 (2025) - [i24]Ziqing Wang, Yibo Wen, William Pattie, Xiao Luo, Weimin Wu, Jerry Yao-Chieh Hu, Abhishek Pandey, Han Liu, Kaize Ding:
POLO: Preference-Guided Multi-Turn Reinforcement Learning for Lead Optimization. CoRR abs/2509.21737 (2025) - [i23]Maojiang Su, Mingcheng Lu, Jerry Yao-Chieh Hu, Shang Wu, Zhao Song, Alex Daniel Reneau, Han Liu:
A Theoretical Analysis of Discrete Flow Matching Generative Models. CoRR abs/2509.22623 (2025) - [i22]Jerry Yao-Chieh Hu, Xiwen Zhang, Weimin Wu, Han Liu:
On Structured State-Space Duality. CoRR abs/2510.04944 (2025) - [i21]Maojiang Su, Jerry Yao-Chieh Hu, Sophia Pi, Han Liu:
On Flow Matching KL Divergence. CoRR abs/2511.05480 (2025) - 2024
- [c10]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 - [c9]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: 19123-19152 - [c8]Jerry Yao-Chieh Hu, Thomas Lin, Zhao Song, Han Liu:
On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis. ICML 2024: 19327-19343 - [c7]Dennis Wu, Jerry Yao-Chieh Hu, Teng-Yun Hsiao, Han Liu:
Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models. ICML 2024: 53471-53514 - [c6]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: 55048-55075 - [c5]Jerry Yao-Chieh Hu, Dennis Wu, Han Liu:
Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes. NeurIPS 2024 - [c4]Jerry Yao-Chieh Hu, Weimin Wu, Zhuoru Li, Sophia Pi, Zhao Song, Han Liu:
On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs). NeurIPS 2024 - [i20]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) - [i19]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) - [i18]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) - [i17]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) - [i16]Jerry Yao-Chieh Hu, Bo-Yu Chen, Dennis Wu, Feng Ruan, Han Liu:
Nonparametric Modern Hopfield Models. CoRR abs/2404.03900 (2024) - [i15]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) - [i14]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) - [i13]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) - [i12]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) - [i11]Erzhi Liu, Jerry Yao-Chieh Hu, Alex Daniel Reneau, Zhao Song, Han Liu:
Differentially Private Kernel Density Estimation. CoRR abs/2409.01688 (2024) - [i10]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) - [i9]Jerry Yao-Chieh Hu, Erzhi Liu, Han Liu, Zhao Song, Lichen Zhang:
On Differentially Private String Distances. CoRR abs/2411.05750 (2024) - [i8]Jerry Yao-Chieh Hu, Wei-Po Wang, Ammar Gilani, Chenyang Li, Zhao Song, Han Liu:
Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency. CoRR abs/2411.16525 (2024) - [i7]Weimin Wu, Maojiang Su, Jerry Yao-Chieh Hu, Zhao Song, Han Liu:
Transformers are Deep Optimizers: Provable In-Context Learning for Deep Model Training. CoRR abs/2411.16549 (2024) - [i6]Jerry Yao-Chieh Hu, Weimin Wu, Yi-Chen Lee, Yu-Chao Huang, Minshuo Chen, Han Liu:
On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality. CoRR abs/2411.17522 (2024) - [i5]Yibo Wen, Chenwei Xu, Jerry Yao-Chieh Hu, Han Liu:
AlignAb: Pareto-Optimal Energy Alignment for Designing Nature-Like Antibodies. CoRR abs/2412.20984 (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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2026-05-08 22:50 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
