Yusong Deng

Orcid: 0009-0002-7634-7345

According to our database¹, Yusong Deng authored at least 12 papers between 2023 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of five.

Timeline

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Bibliography

2025

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2025

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

[BibT_eX]

[DOI]

Inf. Fusion, 2025

MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Operator Feature Neural Network for Symbolic Regression.

[BibT_eX]

[DOI]

CoRR, 2024

DN-CL: Deep Symbolic Regression against Noise via Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Generative Pre-Trained Transformer for Symbolic Regression Base In-Context Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

MMSR: Symbolic Regression is a Multimodal Task.

[BibT_eX]

[DOI]

CoRR, 2024

Discovering Mathematical Formulas from Data via GPT-guided Monte Carlo Tree Search.

[BibT_eX]

[DOI]

CoRR, 2024

A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data.

[BibT_eX]

[DOI]

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

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Yusong Deng

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