| On Sparse Modern Hopfield Model JYC Hu, D Yang, D Wu, C Xu, BY Chen, H Liu Advances in Neural Information Processing Systems 37 (NeurIPS) 2023, 2023 | 39 | 2023 |
| STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction D Wu*, JYC Hu*, W Li*, BY Chen, H Liu International Conference on Learning Representations (ICLR) 2024, 2023 | 37 | 2023 |
| Outlier-Efficient Hopfield Layers for Large Transformer-Based Models JYC Hu*, PH Chang*, R Luo*, HY Chen, W Li, WP Wang, H Liu International Conference on Machine Learning (ICML) 2024, 2024 | 35 | 2024 |
| On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis JYC Hu*, T Lin*, Z Song, H Liu International Conference on Machine Learning (ICML) 2024, 2024 | 34 | 2024 |
| Ising-traffic: Using ising machine learning to predict traffic congestion under uncertainty Z Pan, A Sharma, JYC Hu, Z Liu, A Li, H Liu, M Huang, T Geng Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 2023 37 …, 2023 | 32 | 2023 |
| Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models D Wu*, JYC Hu*, TY Hsiao, H Liu International Conference on Machine Learning (ICML) 2024, 2024 | 27 | 2024 |
| Fuzzy Euclidean wormholes in de Sitter space P Chen, YC Hu, D Yeom Journal of Cosmology and Astroparticle Physics, 001, 0 | 24* | |
| Nonparametric Modern Hopfield Models JYC Hu*, BY Chen*, D Wu, F Ruan, H Liu arXiv preprint arXiv:2404.03900, 2024 | 23 | 2024 |
| BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model C Xu*, YC Huang*, JYC Hu*, W Li, A Gilani, HS Goan, H Liu International Conference on Machine Learning (ICML) 2024, 2024 | 22 | 2024 |
| Two interpretations of thin-shell instantons P Chen, YC Hu, D Yeom Physical Review D 94 (2), 024044, 0 | 21* | |
| On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs) JYC Hu*, W Wu*, Z Song, H Liu Advances in Neural Information Processing Systems 38 (NeurIPS) 2024, 2024 | 19 | 2024 |
| Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes JYC Hu*, D Wu*, H Liu Advances in Neural Information Processing Systems 38 (NeurIPS) 2024, 2024 | 15* | 2024 |
| Enhancing Jailbreak Attack Against Large Language Models through Silent Tokens J Yu, H Luo, JYC Hu, W Guo, H Liu, X Xing arXiv preprint arXiv:2405.20653, 2024 | 15 | 2024 |
| Computational Limits of Low-Rank Adaptation (LoRA) for Transformer-Based Models JYC Hu, M Su, EJ Kuo, Z Song, H Liu International Conference on Learning Representations (ICLR) 2025, 2024 | 13* | 2024 |
| Feature Programming for Multivariate Time Series Prediction A Reneau*, JYC Hu*, C Xu, W Li, A Gilani, H Liu International Conference on Machine Learning (ICML) 2023, 2023 | 10 | 2023 |
| Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency JYC Hu*, WP Wang*, A Gilani, C Li, Z Song, H Liu International Conference on Learning Representations (ICLR) 2025, 2024 | 8 | 2024 |
| Decoupled alignment for robust plug-and-play adaptation H Luo, J Yu, W Zhang, J Li, JYC Hu, X Xing, H Liu arXiv preprint arXiv:2406.01514, 2024 | 7 | 2024 |
| On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality JYC Hu*, W Wu*, YC Lee*, YC Huang*, M Chen, H Liu International Conference on Learning Representations (ICLR) 2025, 2024 | 6 | 2024 |
| Quantization of spacetime based on a spacetime interval operator HW Chiang, YC Hu, P Chen Physical Review D 93 (8), 084043, 0 | 6* | |
| Differentially Private Kernel Density Estimation E Liu*, JYC Hu*, A Reneau, Z Song, H Liu arXiv preprint arXiv:2409.01688, 2024 | 4 | 2024 |
