Ye XUE

Beyond the Heatmap: A Rigorous Evaluation of Component Impact in MCTS-Based TSP Solvers

DogRot: Taming Highly Ill-Conditioned Sensing Matrix in Sparse Signal Recovery by Random Gaussian Rotator

ROS: A GNN-based Relax-Optimize-and-Sample Framework for Max-$k$-Cut Problems

ROS: A GNN-based Relax-Optimize-and-Sample Framework for Max-$k$-Cut Problems

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