| On sparse modern hopfield model JYC Hu, D Yang, D Wu, C Xu, BY Chen, H Liu Advances in Neural Information Processing Systems 36, 2024 | 37 | 2024 |
| STanhop: Sparse tandem hopfield model for memory-enhanced time series prediction D Wu, JYC Hu, W Li, BY Chen, H Liu The Twelfth International Conference on Learning Representations, 2023 | 37 | 2023 |
| Uniform memory retrieval with larger capacity for modern hopfield models D Wu, JYC Hu, TY Hsiao, H Liu The 41st International Conference on Machine Learning, 2024 | 27 | 2024 |
| Nonparametric modern hopfield models JYC Hu, BY Chen, D Wu, F Ruan, H Liu arXiv preprint arXiv:2404.03900, 2024 | 23 | 2024 |
| Provably optimal memory capacity for modern hopfield models: Tight analysis for transformer-compatible dense associative memories JYC Hu, D Wu, H Liu Advances in Neural Information Processing Systems (NeurIPS) 37, 2024 | 15* | 2024 |
| Associated learning: an alternative to end-to-end backpropagation that works on cnn, rnn, and transformer DYH Wu, D Lin, V Chen, HH Chen International Conference on Learning Representations, 2021 | 9 | 2021 |
| Detecting inaccurate sensors on a large-scale sensor network using centralized and localized graph neural networks DY Wu, TH Lin, XR Zhang, CP Chen, JH Chen, HH Chen IEEE Sensors Journal 23 (15), 16446-16455, 2023 | 4 | 2023 |
| AI-based college course selection recommendation system: performance prediction and curriculum suggestion YH Wu, EH Wu 2020 International Symposium on Computer, Consumer and Control (IS3C), 79-82, 2020 | 4 | 2020 |
| Learning spectral methods by transformers Y He, Y Cao, HY Chen, D Wu, J Fan, H Liu arXiv preprint arXiv:2501.01312, 2025 | 2 | 2025 |
| HonestBait: Forward References for Attractive but Faithful Headline Generation CY Chen, D Wu, LW Ku Findings of the Association for Computational Linguistics: ACL 2023, 2023 | 1 | 2023 |
| Transformers and Their Roles as Time Series Foundation Models D Wu, Y He, Y Cao, J Fan, H Liu arXiv preprint arXiv:2502.03383, 2025 | | 2025 |
| Transformers Simulate MLE for Sequence Generation in Bayesian Networks Y Cao, Y He, D Wu, HY Chen, J Fan, H Liu arXiv preprint arXiv:2501.02547, 2025 | | 2025 |