Chenguang Wang

13 papers Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Efficient Training of Multi-task Neural Solver for Combinatorial Optimization.
Trans. Mach. Learn. Res.
Chenguang Wang, Zhang-Hua Fu, Pinyan Lu, Tianshu Yu
2024 J jnl
ASP: Learn a Universal Neural Solver!
IEEE Trans. Pattern Anal. Mach. Intell.
Chenguang Wang, Zhouliang Yu, Stephen McAleer, Tianshu Yu, Yaodong Yang
2024 J jnl
Rethinking the "Heatmap + Monte Carlo Tree Search" Paradigm for Solving Large Scale TSP.
CoRR
Xuanhao Pan, Chenguang Wang, Chaolong Ying, Ye Xue, Tianshu Yu
2024 J jnl
Towards Principled Task Grouping for Multi-Task Learning.
CoRR
Chenguang Wang, Xuanhao Pan, Tianshu Yu
2024 J jnl
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory.
CoRR
Weichen Zhao, Chenguang Wang, Xinyan Wang, Congying Han, Tiande Guo, Tianshu Yu
2023 J jnl
ASP: Learn a Universal Neural Solver!
CoRR
Chenguang Wang, Zhouliang Yu, Stephen McAleer, Tianshu Yu, Yaodong Yang
2023 J jnl
Efficient Training of Multi-task Neural Solver with Multi-armed Bandits.
CoRR
Chenguang Wang, Tianshu Yu
2023 — conf
Exploring Over-smoothing in Graph Attention Networks from the Markov Chain Perspective.
FAIML
Weichen Zhao, Chenguang Wang, Congying Han, Tiande Guo
2023 J jnl
Learning graph representation by aggregating subgraphs via mutual information maximization.
Neurocomputing
Ziwen Liu, Chenguang Wang, Congying Han, Tiande Guo
2023 J jnl
Solving uncapacitated P-Median problem with reinforcement learning assisted by graph attention networks.
Appl. Intell.
Chenguang Wang, Congying Han, Tiande Guo, Man Ding
2022 J jnl
Analysis of Graph Neural Networks with Theory of Markov Chains.
CoRR
Weichen Zhao, Chenguang Wang, Congying Han, Tiande Guo
2021 J jnl
A Game-Theoretic Approach for Improving Generalization Ability of TSP Solvers.
CoRR
Chenguang Wang, Yaodong Yang, Oliver Slumbers, Congying Han, Tiande Guo, Haifeng Zhang, Jun Wang
2021 J jnl
Graph Representation Learning by Ensemble Aggregating Subgraphs via Mutual Information Maximization.
CoRR
Chenguang Wang, Ziwen Liu