Jerry Yao-Chieh Hu

53 papers A* 19Journal 34
YearRankTypeTitle / Venue / Authors
2026 J jnl
Cell-JEPA: Latent Representation Learning for Single-Cell Transcriptomics.
CoRR
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
2025 J jnl
A Theoretical Analysis of Discrete Flow Matching Generative Models.
CoRR
Maojiang Su, Mingcheng Lu, Jerry Yao-Chieh Hu, Shang Wu, Zhao Song, Alex Daniel Reneau, Han Liu
2025 J jnl
Are Hallucinations Bad Estimations?
CoRR
Hude Liu, Jerry Yao-Chieh Hu, Jennifer Yuntong Zhang, Zhao Song, Han Liu
2025 J jnl
Attention Mechanism, Max-Affine Partition, and Universal Approximation.
CoRR
Hude Liu, Jerry Yao-Chieh Hu, Zhao Song, Han Liu
2025 A* conf
Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models.
ICLR
Jerry Yao-Chieh Hu, Maojiang Su, En-Jui Kuo, Zhao Song, Han Liu
2025 A* conf
Fast and Low-Cost Genomic Foundation Models via Outlier Removal.
ICML
Haozheng Luo, Chenghao Qiu, Maojiang Su, Zhihan Zhou, Zoe Mehta, Guo Ye, Jerry Yao-Chieh Hu, Han Liu
2025 J jnl
Fast and Low-Cost Genomic Foundation Models via Outlier Removal.
CoRR
Haozheng Luo, Chenghao Qiu, Maojiang Su, Zhihan Zhou, Zoe Mehta, Guo Ye, Jerry Yao-Chieh Hu, Han Liu
2025 A* conf
Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency.
ICLR
Jerry Yao-Chieh Hu, Wei-Po Wang, Ammar Gilani, Chenyang Li, Zhao Song, Han Liu
2025 J jnl
Genome-Factory: An Integrated Library for Tuning, Deploying, and Interpreting Genomic Models.
CoRR
Weimin Wu, Xuefeng Song, Yibo Wen, Qinjie Lin, Zhihan Zhou, Jerry Yao-Chieh Hu, Zhong Wang, Han Liu
2025 J jnl
In-Context Algorithm Emulation in Fixed-Weight Transformers.
CoRR
Jerry Yao-Chieh Hu, Hude Liu, Jennifer Yuntong Zhang, Han Liu
2025 A* conf
In-Context Deep Learning via Transformer Models.
ICML
Weimin Wu, Maojiang Su, Jerry Yao-Chieh Hu, Zhao Song, Han Liu
2025 A* conf
In-Context Learning as Conditioned Associative Memory Retrieval.
ICML
Weimin Wu, Teng-Yun Hsiao, Jerry Yao-Chieh Hu, Wenxin Zhang, Han Liu
2025 A* conf
Latent Variable Estimation in Bayesian Black-Litterman Models.
ICML
Thomas Yuan-Lung Lin, Jerry Yao-Chieh Hu, Paul W. Chiou, Peter Lin
2025 J jnl
Latent Variable Estimation in Bayesian Black-Litterman Models.
CoRR
Thomas Yuan-Lung Lin, Jerry Yao-Chieh Hu, Paul W. Chiou, Peter Lin
2025 A* conf
Mind the Inconspicuous: Revealing the Hidden Weakness in Aligned LLMs' Refusal Boundaries.
USENIX Security Symposium
Jiahao Yu, Haozheng Luo, Jerry Yao-Chieh Hu, Yan Chen, Wenbo Guo, Han Liu, Xinyu Xing
2025 J jnl
Minimalist Softmax Attention Provably Learns Constrained Boolean Functions.
CoRR
Jerry Yao-Chieh Hu, Xiwen Zhang, Maojiang Su, Zhao Song, Han Liu
2025 J jnl
NdLinear Is All You Need for Representation Learning.
CoRR
Alex Daniel Reneau, Jerry Yao-Chieh Hu, Zhongfang Zhuang, Ting-Chun Liu
2025 A* conf
Nonparametric Modern Hopfield Models.
ICML
Jerry Yao-Chieh Hu, Bo-Yu Chen, Dennis Wu, Feng Ruan, Han Liu
2025 J jnl
On Flow Matching KL Divergence.
CoRR
Maojiang Su, Jerry Yao-Chieh Hu, Sophia Pi, Han Liu
2025 A* conf
On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality.
ICLR
Jerry Yao-Chieh Hu, Weimin Wu, Yi-Chen Lee, Yu-Chao Huang, Minshuo Chen, Han Liu
2025 J jnl
On Structured State-Space Duality.
CoRR
Jerry Yao-Chieh Hu, Xiwen Zhang, Weimin Wu, Han Liu
2025 J jnl
POLO: Preference-Guided Multi-Turn Reinforcement Learning for Lead Optimization.
CoRR
Ziqing Wang, Yibo Wen, William Pattie, Xiao Luo, Weimin Wu, Jerry Yao-Chieh Hu, Abhishek Pandey, Han Liu, Kaize Ding
2025 J jnl
Universal Approximation with Softmax Attention.
CoRR
Jerry Yao-Chieh Hu, Hude Liu, Hong-Yu Chen, Weimin Wu, Han Liu
2024 J jnl
AlignAb: Pareto-Optimal Energy Alignment for Designing Nature-Like Antibodies.
CoRR
Yibo Wen, Chenwei Xu, Jerry Yao-Chieh Hu, Han Liu
2024 A* conf
BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model.
ICML
Chenwei Xu, Yu-Chao Huang, Jerry Yao-Chieh Hu, Weijian Li, Ammar Gilani, Hsi-Sheng Goan, Han Liu
2024 J jnl
BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model.
CoRR
Chenwei Xu, Yu-Chao Huang, Jerry Yao-Chieh Hu, Weijian Li, Ammar Gilani, Hsi-Sheng Goan, Han Liu
2024 J jnl
Computational Limits of Low-Rank Adaptation (LoRA) for Transformer-Based Models.
CoRR
Jerry Yao-Chieh Hu, Maojiang Su, En-Jui Kuo, Zhao Song, Han Liu
2024 J jnl
Decoupled Alignment for Robust Plug-and-Play Adaptation.
CoRR
Haozheng Luo, Jiahao Yu, Wenxin Zhang, Jialong Li, Jerry Yao-Chieh Hu, Xinyu Xing, Han Liu
2024 J jnl
Differentially Private Kernel Density Estimation.
CoRR
Erzhi Liu, Jerry Yao-Chieh Hu, Alex Daniel Reneau, Zhao Song, Han Liu
2024 J jnl
Enhancing Jailbreak Attack Against Large Language Models through Silent Tokens.
CoRR
Jiahao Yu, Haozheng Luo, Jerry Yao-Chieh Hu, Wenbo Guo, Han Liu, Xinyu Xing
2024 J jnl
Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency.
CoRR
Jerry Yao-Chieh Hu, Wei-Po Wang, Ammar Gilani, Chenyang Li, Zhao Song, Han Liu
2024 J jnl
Nonparametric Modern Hopfield Models.
CoRR
Jerry Yao-Chieh Hu, Bo-Yu Chen, Dennis Wu, Feng Ruan, Han Liu
2024 A* conf
On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis.
ICML
Jerry Yao-Chieh Hu, Thomas Lin, Zhao Song, Han Liu
2024 J jnl
On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis.
CoRR
Jerry Yao-Chieh Hu, Thomas Lin, Zhao Song, Han Liu
2024 J jnl
On Differentially Private String Distances.
CoRR
Jerry Yao-Chieh Hu, Erzhi Liu, Han Liu, Zhao Song, Lichen Zhang
2024 A* conf
On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs).
NeurIPS
Jerry Yao-Chieh Hu, Weimin Wu, Zhuoru Li, Sophia Pi, Zhao Song, Han Liu
2024 J jnl
On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs).
CoRR
Jerry Yao-Chieh Hu, Weimin Wu, Zhuoru Li, Zhao Song, Han Liu
2024 J jnl
On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality.
CoRR
Jerry Yao-Chieh Hu, Weimin Wu, Yi-Chen Lee, Yu-Chao Huang, Minshuo Chen, Han Liu
2024 A* conf
Outlier-Efficient Hopfield Layers for Large Transformer-Based Models.
ICML
Jerry Yao-Chieh Hu, Pei-Hsuan Chang, Haozheng Luo, Hong-Yu Chen, Weijian Li, Wei-Po Wang, Han Liu
2024 J jnl
Outlier-Efficient Hopfield Layers for Large Transformer-Based Models.
CoRR
Jerry Yao-Chieh Hu, Pei-Hsuan Chang, Robin Luo, Hong-Yu Chen, Weijian Li, Wei-Po Wang, Han Liu
2024 A* conf
Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes.
NeurIPS
Jerry Yao-Chieh Hu, Dennis Wu, Han Liu
2024 J jnl
Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes.
CoRR
Jerry Yao-Chieh Hu, Dennis Wu, Han Liu
2024 A* conf
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction.
ICLR
Dennis Wu, Jerry Yao-Chieh Hu, Weijian Li, Bo-Yu Chen, Han Liu
2024 J jnl
Transformers are Deep Optimizers: Provable In-Context Learning for Deep Model Training.
CoRR
Weimin Wu, Maojiang Su, Jerry Yao-Chieh Hu, Zhao Song, Han Liu
2024 A* conf
Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models.
ICML
Dennis Wu, Jerry Yao-Chieh Hu, Teng-Yun Hsiao, Han Liu
2024 J jnl
Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models.
CoRR
Dennis Wu, Jerry Yao-Chieh Hu, Teng-Yun Hsiao, Han Liu
2023 J jnl
Beyond PID Controllers: PPO with Neuralized PID Policy for Proton Beam Intensity Control in Mu2e.
CoRR
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
2023 A* conf
Feature Programming for Multivariate Time Series Prediction.
ICML
Alex Daniel Reneau, Jerry Yao-Chieh Hu, Ammar Gilani, Han Liu
2023 J jnl
Feature Programming for Multivariate Time Series Prediction.
CoRR
Alex Daniel Reneau, Jerry Yao-Chieh Hu, Chenwei Xu, Weijian Li, Ammar Gilani, Han Liu
2023 A* conf
Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty.
AAAI
Zhenyu Pan, Anshujit Sharma, Jerry Yao-Chieh Hu, Zhuo Liu, Ang Li, Han Liu, Michael C. Huang, Tong Geng
2023 A* conf
On Sparse Modern Hopfield Model.
NeurIPS
Jerry Yao-Chieh Hu, Donglin Yang, Dennis Wu, Chenwei Xu, Bo-Yu Chen, Han Liu
2023 J jnl
On Sparse Modern Hopfield Model.
CoRR
Jerry Yao-Chieh Hu, Donglin Yang, Dennis Wu, Chenwei Xu, Bo-Yu Chen, Han Liu
2023 J jnl
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction.
CoRR
Dennis Wu, Jerry Yao-Chieh Hu, Weijian Li, Bo-Yu Chen, Han Liu