Transformer-based model for symbolic regression via joint supervised learning. - Wenqiang Li; Weijun Li 002; Linjun Sun; Min Wu; Lina Yu; Jingyi Liu; Yanjie Li 005; Songsong Tian (ICLR, 2023)

A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data. - Wenqiang Li; Weijun Li 002; Lina Yu; Min Wu; Jingyi Liu; Yanjie Li 005 (CoRR, 2023)

MetaSymNet: A Dynamic Symbolic Regression Network Capable of Evolving into Arbitrary Formulations. - Yanjie Li 005; Weijun Li 002; Lina Yu; Min Wu; Jinyi Liu 003; Wenqiang Li; Meilan Hao; Shu Wei; Yusong Deng (CoRR, 2023)

SNR: Symbolic network-based rectifiable learning framework for symbolic regression. - Jingyi Liu; Weijun Li 002; Lina Yu; Min Wu; Linjun Sun; Wenqiang Li; Yanjie Li 005 (Neural Networks, 2023)

A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data. - Wenqiang Li; Weijun Li 002; Lina Yu; Min Wu; Linjun Sun; Jingyi Liu; Yanjie Li 005; Shu Wei; Yusong Deng; Meilan Hao (ICML, 2024)

A Novel Paradigm for Neural Computation: X-Net with Learnable Neurons and Adaptable Structure. - Yanjie Li 005; Weijun Li 002; Lina Yu; Min Wu; Jinyi Liu 003; Wenqiang Li; Meilan Hao (CoRR, 2024)

Discovering Mathematical Formulas from Data via GPT-guided Monte Carlo Tree Search. - Yanjie Li 005; Weijun Li 002; Lina Yu; Min Wu; Jingyi Liu; Wenqiang Li; Meilan Hao; Shu Wei; Yusong Deng (CoRR, 2024)

PruneSymNet: A Symbolic Neural Network and Pruning Algorithm for Symbolic Regression. - Min Wu; Weijun Li 002; Lina Yu; Wenqiang Li; Jingyi Liu; Yanjie Li 005; Meilan Hao (CoRR, 2024)

MMSR: Symbolic Regression is a Multimodal Task. - Yanjie Li 005; Jingyi Liu; Weijun Li 002; Lina Yu; Min Wu; Wenqiang Li; Meilan Hao; Shu Wei; Yusong Deng (CoRR, 2024)

Generative Pre-Trained Transformer for Symbolic Regression Base In-Context Reinforcement Learning. - Yanjie Li 005; Weijun Li 002; Lina Yu; Min Wu; Jingyi Liu; Wenqiang Li; Meilan Hao; Shu Wei; Yusong Deng (CoRR, 2024)

Closed-form Symbolic Solutions: A New Perspective on Solving Partial Differential Equations. - Shu Wei; Yanjie Li 005; Lina Yu; Min Wu; Weijun Li 002; Meilan Hao; Wenqiang Li; Jingyi Liu; Yusong Deng (CoRR, 2024)

MLLM-SR: Conversational Symbolic Regression base Multi-Modal Large Language Models. - Yanjie Li 005; Weijun Li 002; Lina Yu; Min Wu; Jingyi Liu; Wenqiang Li; Shu Wei; Yusong Deng (CoRR, 2024)

DN-CL: Deep Symbolic Regression against Noise via Contrastive Learning. - Jingyi Liu; Yanjie Li 005; Lina Yu; Min Wu; Weijun Li 002; Wenqiang Li; Meilan Hao; Yusong Deng; Shu Wei (CoRR, 2024)

Operator Feature Neural Network for Symbolic Regression. - Yusong Deng; Min Wu; Lina Yu; Jingyi Liu; Shu Wei; Yanjie Li 005; Weijun Li 002 (CoRR, 2024)

MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions. - Yanjie Li 005; Weijun Li 002; Lina Yu; Min Wu; Jingyi Liu; Shu Wei; Yusong Deng; Meilan Hao (AAAI, 2025)

Closed-form Solutions: A New Perspective on Solving Differential Equations. - Shu Wei; Yanjie Li 005; Lina Yu; Weijun Li 002; Min Wu; Linjun Sun; Jingyi Liu; Hong Qin 007; Yusong Deng; Jufeng Han; Yan Pang (ICML, 2025)

Discovering mathematical formulas from data via GPT-guided Monte Carlo Tree Search. - Yanjie Li 005; Weijun Li 002; Lina Yu; Min Wu; Jingyi Liu; Wenqiang Li; Meilan Hao (Expert Syst. Appl., 2025)

MMSR: Symbolic regression is a multi-modal information fusion task. - Yanjie Li 005; Jingyi Liu; Min Wu; Lina Yu; Weijun Li 002; Xin Ning 001; Wenqiang Li; Meilan Hao; Yusong Deng; Shu Wei (Inf. Fusion, 2025)

CaMo: Capturing the modularity by end-to-end models for Symbolic Regression. - Jingyi Liu; Min Wu; Lina Yu; Weijun Li 002; Wenqiang Li; Yanjie Li 005; Meilan Hao; Yusong Deng; Shu Wei (Knowl. Based Syst., 2025)

Mathematical expression exploration with graph representation and generative graph neural network. - Jingyi Liu; Weijun Li 002; Lina Yu; Min Wu; Wenqiang Li; Yanjie Li 005; Meilan Hao (Neural Networks, 2025)

UV-Attack: Physical-World Adversarial Attacks for Person Detection via Dynamic-NeRF-based UV Mapping. - Yanjie Li 005; Wenxuan Zhang; Kaisheng Liang; Bin Xiao (CoRR, 2025)

GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing. - Yanjie Li 005; Liping Zhang 014; Min Wu; Weijun Li 002; Lina Yu; Jingyi Liu; Yusong Deng; Mingzhu Wan; Xin Ning 001 (CoRR, 2026)