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

3D human pose and shape estimation via de-occlusion multi-task learning. - Hang Ran; Xin Ning 001; Weijun Li 002; Meilan Hao; Prayag Tiwari (Neurocomputing, 2023)

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

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

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

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

Coarse to fine-based image-point cloud fusion network for 3D object detection. - Meilan Hao; Zhongkang Zhang; Lei Li; Kejian Dong; Long Cheng 003; Prayag Tiwari; Xin Ning 001 (Inf. Fusion, 2024)

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

Discovering mathematical formulas from data via GPT-guided Monte Carlo Tree Search. - Yanjie Li; 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; 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; Meilan Hao; Yusong Deng; Shu Wei (Knowl. Based Syst., 2025)

A prompt regularization approach to enhance few-shot class-incremental learning with Two-Stage Classifier. - Meilan Hao; Yizhan Gu; Kejian Dong; Prayag Tiwari; Xiaoqing Lv; Xin Ning 001 (Neural Networks, 2025)

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