Chaolong Ying

Neural Graduated Assignment for Maximum Common Edge Subgraphs

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

NeuroLifting: Neural Inference on Markov Random Fields at Scale

Improving Task-Specific Multimodal Sentiment Analysis with General MLLMs via Prompting

Enhancing Graph Self-Supervised Learning with Graph Interplay

Are spectral augmentations necessary in contrast-based graph self-supervised learning?

NeuroLifting: Neural Inference on Markov Random Fields at Scale

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