Chenguang Wang

According to our database, Chenguang Wang authored at least 12 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

Efficient Training of Multi-task Neural Solver for Combinatorial Optimization.

Chenguang Wang, Zhang-Hua Fu, Pinyan Lu, Tianshu Yu

Trans. Mach. Learn. Res., 2025

2024

ASP: Learn a Universal Neural Solver!

Chenguang Wang, Zhouliang Yu, Stephen McAleer, Tianshu Yu, Yaodong Yang

IEEE Trans. Pattern Anal. Mach. Intell., June, 2024

Rethinking the "Heatmap + Monte Carlo Tree Search" Paradigm for Solving Large Scale TSP.

Xuanhao Pan, Chenguang Wang, Chaolong Ying, Ye Xue, Tianshu Yu

CoRR, 2024

Towards Principled Task Grouping for Multi-Task Learning.

Chenguang Wang, Xuanhao Pan, Tianshu Yu

CoRR, 2024

Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory.

Weichen Zhao, Chenguang Wang, Xinyan Wang, Congying Han, Tiande Guo, Tianshu Yu

CoRR, 2024

2023

Learning graph representation by aggregating subgraphs via mutual information maximization.

Ziwen Liu, Chenguang Wang, Congying Han, Tiande Guo

Neurocomputing, 2023

Efficient Training of Multi-task Neural Solver with Multi-armed Bandits.

Chenguang Wang, Tianshu Yu

CoRR, 2023

Solving uncapacitated P-Median problem with reinforcement learning assisted by graph attention networks.

Chenguang Wang, Congying Han, Tiande Guo, Man Ding

Appl. Intell., 2023

Exploring Over-smoothing in Graph Attention Networks from the Markov Chain Perspective.

Weichen Zhao, Chenguang Wang, Congying Han, Tiande Guo

Proceedings of the International Conference on Frontiers of Artificial Intelligence and Machine Learning, 2023

2022

Analysis of Graph Neural Networks with Theory of Markov Chains.

Weichen Zhao, Chenguang Wang, Congying Han, Tiande Guo

CoRR, 2022

2021

A Game-Theoretic Approach for Improving Generalization Ability of TSP Solvers.

Chenguang Wang, Yaodong Yang, Oliver Slumbers, Congying Han, Tiande Guo, Haifeng Zhang, Jun Wang

CoRR, 2021

Graph Representation Learning by Ensemble Aggregating Subgraphs via Mutual Information Maximization.

Chenguang Wang, Ziwen Liu

CoRR, 2021