Yusong Deng

According to our database, Yusong Deng authored at least 14 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing.

Yanjie Li, Liping Zhang, Min Wu, Weijun Li, Lina Yu, Jingyi Liu, Yusong Deng, Mingzhu Wan, Xin Ning

CoRR, May, 2026

2025

CaMo: Capturing the modularity by end-to-end models for Symbolic Regression.

Jingyi Liu, Min Wu, Lina Yu, Weijun Li, Wenqiang Li, Yanjie Li, Meilan Hao, Yusong Deng, Shu Wei

Knowl. Based Syst., 2025

MMSR: Symbolic regression is a multi-modal information fusion task.

Yanjie Li, Jingyi Liu, Min Wu, Lina Yu, Weijun Li, Xin Ning, Wenqiang Li, Meilan Hao, Yusong Deng, Shu Wei

Inf. Fusion, 2025

Closed-form Solutions: A New Perspective on Solving Differential Equations.

Shu Wei, Yanjie Li, Lina Yu, Weijun Li, Min Wu, Linjun Sun, Jingyi Liu, Hong Qin, Yusong Deng, Jufeng Han, Yan Pang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Operator Feature Neural Network for Symbolic Regression.

Yusong Deng, Min Wu, Lina Yu, Jingyi Liu, Shu Wei, Yanjie Li, Weijun Li

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

MLLM-SR: Conversational Symbolic Regression base Multi-Modal Large Language Models.

Yanjie Li, Weijun Li, Lina Yu, Min Wu, Jingyi Liu, Wenqiang Li, 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

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

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

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

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

MetaSymNet: A Dynamic Symbolic Regression Network Capable of Evolving into Arbitrary Formulations.

Yanjie Li, Weijun Li, Lina Yu, Min Wu, Jinyi Liu, Wenqiang Li, Meilan Hao, Shu Wei, Yusong Deng

CoRR, 2023