| Dnabert-2: Efficient foundation model and benchmark for multi-species genome Z Zhou, Y Ji, W Li, P Dutta, R Davuluri, H Liu arXiv preprint arXiv:2306.15006, 2023 | 36 | 2023 |
| Stanhop: Sparse tandem hopfield model for memory-enhanced time series prediction D Wu, JYC Hu, W Li, BY Chen, H Liu arXiv preprint arXiv:2312.17346, 2023 | 8 | 2023 |
| Feature programming for multivariate time series prediction AD Reneau, JYC Hu, A Gilani, H Liu International Conference on Machine Learning, 29009-29029, 2023 | 2 | 2023 |
| Interdisciplinary Discovery of Nanomaterials Based on Convolutional Neural Networks BH Tong Xie, Yuwei Wan, Weijian Li, Qingyuan Linghu, Shaozhou Wang, Yalun ... NeurIPS 2022 Workshop AI4Science, 2022 | 2* | 2022 |
| Outlier-Efficient Hopfield Layers for Large Transformer-Based Models JYC Hu, PH Chang, R Luo, HY Chen, W Li, WP Wang, H Liu arXiv preprint arXiv:2404.03828, 2024 | | 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 arXiv preprint arXiv:2404.03830, 2024 | | 2024 |
| Multivariate Time Series Forecasting By Graph Attention Networks With Theoretical Guarantees HL Zhi Zhang, Weijian Li The 27th International Conference on Artificial Intelligence and Statistics 238, 2024 | | 2024 |
