| 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), 2023, 2023 | 21 | 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 | 8 | 2024 |
| 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 | 7 | 2023 |
| 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 (TNNLS), 2023, 2023 | 4 | 2023 |
| 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 | 4 | 2023 |
| MMSR: Symbolic regression is a multi-modal information fusion task Y Li, J Liu, M Wu, L Yu, W Li, X Ning, W Li, M Hao, Y Deng, S Wei Information Fusion 114, 102681, 2025 | 3* | 2025 |
| 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 | 2 | 2023 |
| 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, S Wei, Y Deng, L Zhang, ... arXiv preprint arXiv:2401.01772, 2024 | 1 | 2024 |
| 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 | 1 | 2023 |
| DN-CL: Deep Symbolic Regression against Noise via Contrastive Learning J Liu, Y Li, L Yu, M Wu, W Li, W Li, M Hao, Y Deng, S Wei arXiv preprint arXiv:2406.14844, 2024 | | 2024 |
| MLLM-SR: Conversational Symbolic Regression base Multi-Modal Large Language Models Y Li, W Li, L Yu, M Wu, J Liu, W Li, S Wei, Y Deng arXiv preprint arXiv:2406.05410, 2024 | | 2024 |
| Closed-form Symbolic Solutions: A New Perspective on Solving Partial Differential Equations S Wei, Y Li, L Yu, M Wu, W Li, M Hao, W Li, J Liu, Y Deng arXiv preprint arXiv:2405.14620, 2024 | | 2024 |
| 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 Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data W Li, W Li, L Yu, M Wu, J Liu, Y Li International Conference on Machine Learning (ICML), 2024, 2024 | | 2024 |
| 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
