| Transformer-based model for symbolic regression via joint supervised learning W Li, W Li, L Sun, M Wu, L Yu, J Liu, Y Li, S Tian International Conference on Learning Representations (ICLR'23), 2023 | 12 | 2023 |
| SNR: Symbolic network-based rectifiable learning framework for symbolic regression J Liu, W Li, L Yu, M Wu, L Sun, W Li, Y Li Neural Networks 165, 1021-1034, 2023 | 4 | 2023 |
| Discovering Mathematical Formulas from Data via GPT-guided Monte Carlo Tree Search Y Li, W Li, L Yu, M Wu, J Liu, W Li, M Hao, S Wei, Y Deng arXiv preprint arXiv:2401.14424, 2024 | 3 | 2024 |
| MetaSymNet: A Dynamic Symbolic Regression Network Capable of Evolving into Arbitrary Formulations Y Li, W Li, L Yu, M Wu, J Liu, W Li, M Hao, S Wei, Y Deng arXiv preprint arXiv:2311.07326, 2023 | 2 | 2023 |
| MMSR: Symbolic Regression is a Multimodal Task Y Li, J Liu, W Li, L Yu, M Wu, W Li, M Hao, S Wei, Y Deng arXiv preprint arXiv:2402.18603, 2024 | 1 | 2024 |
| Discovering Mathematical Expressions Through DeepSymNet: A Classification-Based Symbolic Regression Framework M Wu, W Li, L Yu, L Sun, J Liu, W Li IEEE Transactions on Neural Networks and Learning Systems, 2023 | 1 | 2023 |
| Generative Pre-Trained Transformer for Symbolic Regression Base In-Context Reinforcement Learning Y Li, W Li, L Yu, M Wu, J Liu, W Li, M Hao, S Wei, Y Deng arXiv preprint arXiv:2404.06330, 2024 | | 2024 |
| PruneSymNet: A Symbolic Neural Network and Pruning Algorithm for Symbolic Regression M Wu, W Li, L Yu, W Li, J Liu, Y Li, M Hao arXiv preprint arXiv:2401.15103, 2024 | | 2024 |
| A Novel Paradigm for Neural Computation: X-Net with Learnable Neurons and Adaptable Structure Y Li, W Li, L Yu, M Wu, J Liu, W Li, M Hao arXiv preprint arXiv:2401.01772, 2024 | | 2024 |
| DoctorGPT: A Large Language Model with Chinese Medical Question-Answering Capabilities W Li, L Yu, M Wu, J Liu, M Hao, Y Li 2023 International Conference on High Performance Big Data and Intelligent …, 2023 | | 2023 |
| Artificial Neural Network-Based Approach to Modeling Energy Bands of GaN-Based Heterojunction Materials M Hao, S Wei, L Yu, W Li, M Wu, J Liu, W Li, Y Li 2023 International Conference on High Performance Big Data and Intelligent …, 2023 | | 2023 |
| A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data W Li, W Li, L Yu, M Wu, J Liu, Y Li arXiv preprint arXiv:2309.13705, 2023 | | 2023 |
| Camo: Capturing the Modularity by End-to-End Models for Symbolic Regression J Liu, M Wu, L Yu, W Li, W Li, Y Li, M Hao, Y Deng, S Wei Available at SSRN 4803366, 0 | | |
| Incorporating Higher-Knowledge into Deep Symbolic Regression Under Generative Neural Network Framework J Liu, W Li, L Yu, M Wu, W Li, Y Li, M Hao Available at SSRN 4691040, 0 | | |
| Rec-Symnet: Symbolic Network-Based Rectifiable Learning Framework for Symbolic Regression J Liu, W Li, L Yu, M Wu, L Sun, W Li, Y Li Available at SSRN 4404882, 0 | | |
Weijun LiAnnLab, Institute of Semiconductors, Chinese Academy of Sciences在 semi.ac.cn 的电子邮件经过验证
