Jerry Yao-Chieh Hu

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 21 papers. Top paper: “Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty”.

Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty

Proceedings of the AAAI Conference on Artificial Intelligence(2023)10.1609/aaai.v37i8.26121

N/A

0DataRank · unranked

31 citations

Anshujit Sharma, Jerry Yao-Chieh Hu, Zhuo Liu, Ang Li, Liu Han +3 more

Feature Programming for Multivariate Time Series Prediction

arXiv (Cornell University)(2023)10.48550/arxiv.2306.06252

N/A

0DataRank · unranked

2 citations

Jerry Yao-Chieh Hu, Chenwei Xu, Wangjian Li, Ammar Gilani, Han Liu +1 more

STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction

arXiv (Cornell University)(2023)10.48550/arxiv.2312.17346

N/A

0DataRank · unranked

1 citations

Jerry Yao-Chieh Hu, Weijian Li, Boyu Chen, Han Liu, Dennis Wu

On Sparse Modern Hopfield Model

arXiv (Cornell University)(2023)10.48550/arxiv.2309.12673

N/A

0DataRank · unranked

0 citations

Donglin Yang, Dennis Wu, Chenwei Xu, Boyu Chen, Han Liu +1 more

Beyond PID Controllers: PPO with Neuralized PID Policy for Proton Beam Intensity Control in Mu2e

arXiv (Cornell University)(2023)10.48550/arxiv.2312.17372

N/A

0DataRank · unranked

0 citations

Jerry Yao-Chieh Hu, Aakaash Narayanan, Mattson Thieme, V. Nagaslaev, Mark Austin +19 more

Outlier-Efficient Hopfield Layers for Large Transformer-Based Models

arXiv (Cornell University)(2024)10.48550/arxiv.2404.03828

N/A

0DataRank · unranked

2 citations

Pei-Hsuan Chang, Robin H. Luo, Hongyu Chen, Weijian Li, Wei-Po Wang +2 more

Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models

arXiv (Cornell University)(2024)10.48550/arxiv.2404.03827

N/A

0DataRank · unranked

2 citations

Jerry Yao-Chieh Hu, Teng-Yun Hsiao, Han Liu, Dennis Wu

Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models

arXiv (Cornell University)(2024)10.48550/arxiv.2406.03136

N/A

0DataRank · unranked

2 citations

Maojiang Su, En-Jui Kuo, Zhao Song, Han Liu, Jerry Yao-Chieh Hu

Nonparametric Modern Hopfield Models

arXiv (Cornell University)(2024)10.48550/arxiv.2404.03900

N/A

0DataRank · unranked

1 citations

Boyu Chen, Dennis Wu, Feng Ruan, Han Liu, Jerry Yao-Chieh Hu

Decoupled Alignment for Robust Plug-and-Play Adaptation

arXiv (Cornell University)(2024)10.48550/arxiv.2406.01514

N/A

0DataRank · unranked

1 citations

Jiahao Yu, Wenxin Zhang, Jialong Li, Jerry Yao-Chieh Hu, Wang, Yimin +5 more

Differentially Private Kernel Density Estimation

arXiv (Cornell University)(2024)10.48550/arxiv.2409.01688

N/A

0DataRank · unranked

1 citations

Jerry Yao-Chieh Hu, Alex Reneau, Zhao Song, Han Liu, Erzhi Liu

On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis

arXiv (Cornell University)(2024)10.48550/arxiv.2402.04520

N/A

0DataRank · unranked

0 citations

Thomas W. Lin, Zhao Song, Han Liu, Jerry Yao-Chieh Hu

BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model

arXiv (Cornell University)(2024)10.48550/arxiv.2404.03830

N/A

0DataRank · unranked

0 citations

Yu-Chao Huang, Jerry Yao-Chieh Hu, Wangjian Li, Ammar Gilani, Hsi‐Sheng Goan +2 more

On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs)

arXiv (Cornell University)(2024)10.48550/arxiv.2407.01079

N/A

0DataRank · unranked

0 citations

Weimin Wu, Zhao Song, Han Liu, Jerry Yao-Chieh Hu

Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes

arXiv (Cornell University)(2024)10.48550/arxiv.2410.23126

N/A

0DataRank · unranked

0 citations

Dennis Wu, Han Liu, Jerry Yao-Chieh Hu

Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency

arXiv (Cornell University)(2024)10.48550/arxiv.2411.16525

N/A

0DataRank · unranked

0 citations

Wei-Po Wang, Ammar Gilani, Chenyang Li, Zhao Song, Han Liu +1 more

In-Context Deep Learning via Transformer Models

arXiv (Cornell University)(2024)10.48550/arxiv.2411.16549

N/A

0DataRank · unranked

0 citations

Maojiang Su, Jerry Yao-Chieh Hu, Zhao Song, Han Liu, Weimin Wu

On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality

arXiv (Cornell University)(2024)10.48550/arxiv.2411.17522

N/A

0DataRank · unranked

0 citations

Weimin Wu, Yi‐Chen Lee, Yu-Chao Huang, Minshuo Chen, Han Liu +1 more

Pareto-Optimal Energy Alignment for Designing Nature-Like Antibodies

arXiv (Cornell University)(2024)10.48550/arxiv.2412.20984

N/A

0DataRank · unranked

0 citations

Chenwei Xu, Jerry Yao-Chieh Hu, Ding, Kaize, Liu, Han, Wen, Yibo

Universal Approximation with Softmax Attention

arXiv (Cornell University)(2025)10.48550/arxiv.2504.15956

N/A

0DataRank · unranked

0 citations

Liu, Hude, Hongyu Chen, Weizhong Wu, Han Liu, Jerry Yao-Chieh Hu

On Structured State-Space Duality

arXiv (Cornell University)(2025)10.48550/arxiv.2510.04944

N/A

0DataRank · unranked

0 citations

Xiwen Zhang, ElSheikh, Ali, Weimin Wu, Han Liu, Jerry Yao-Chieh Hu