Currently, I am a PhD candidate at The Chinese University of Hong Kong, Shenzhen, starting from September 2022, and I am fortunate to be advised by Prof. Tianshu Yu. Prior to this, I earned my master’s degree in 2022 at Xidian University, luckily under the supervision of Prof. Jing Liu. Before that, I completed my bachelor’s degree in 2019 at Xidian University.

Research Interests

• Graph Neural Networks
• Combinatorial Optimization on Graphs
• Geographic Information Systems
• Mechanism Design

Education

• 2022-Present, PhD student in Computer Science, The Chinese University of Hong Kong, Shenzhen.
• 2019-2022, MS in Computer Science, Xidian University.
• 2015-2019, BS in Electronic and Information Engineering, Xidian University.

Selected Publications

• Neural Graduated Assignment for Maximum Common Edge Subgraphs
  Chaolong Ying, Yingqi Ruan, Xuemin Chen, Yaomin Wang, and Tianshu Yu
  International Conference on Learning Representations (ICLR), 2026
• Beyond the Heatmap: A Rigorous Evaluation of Component Impact in MCTS-Based TSP Solvers
  Xuanhao Pan, Chenguang Wang, Chaolong Ying, Ye Xue, and Tianshu Yu
  International Conference on Learning Representations (ICLR), 2026
• Improving Task-Specific Multimodal Sentiment Analysis with General MLLMs via Prompting
  Haoyu Zhang, Yinan Zhang, Chaolong Ying, Xiaoying Tang, and Tianshu Yu
  Annual Conference on Neural Information Processing Systems (NeurIPS), 2025
• UM3: Unsupervised Map to Map Matching
  Chaolong Ying, Yinan Zhang, Lei Zhang, Jiazhuang Wang, Shujun Jia, and Tianshu Yu
  Arxiv preprint, 2025
• Rethinking Spectral Augmentation for Contrast-based Graph Self-Supervised Learning?
  Xiangru Jian, Xinjian Zhao, Wei Pang, Chaolong Ying, Yimu Wang, Yaoyao Xu, and Tianshu Yu
  Transactions on Machine Learning Research (TMLR), 2025
• Graph Learning with Distributional Edge Layouts.
  Xinjian Zhao, Chaolong Ying, and Tianshu Yu
  Knowledge Discovery and Data Mining (KDD), 2025
• Boosting graph pooling with persistent homology
  Chaolong Ying, Xinjian Zhao, and Tianshu Yu
  Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
• A multiobjective evolutionary approach for solving large-scale network reconstruction problems via logistic principal component analysis
  Chaolong Ying, Jing Liu, Kai Wu, and Chao Wang
  IEEE Transactions on Cybernetics, 2021
• Learning large-scale fuzzy cognitive maps using an evolutionary many-task algorithm
  Chao Wang, Jing Liu, Kai Wu, and Chaolong Ying
  Applied Soft Computing, 2021

Research Experiences

• Huawei Taylor Lab. Research Intern advised by Dr. Chunxue Yang and Dr. Xiang Yan, 2025.7-2026.2
  • Topic: Mechanism Design for Auto-bidding Platforms

Services

Conference Reviewer: NeurIPS, ICML, ICLR, KDD, AAAI, AISTATS

Honors and Awards

• Excellent TA Award, 2025
• NeurIPS Scholar Award, 2024
• Duan Yong Ping Travel Award, 2024
• Outstanding Graduates of Xidian University, 2022
• National Scholarship, 2021

Teaching Experiences

• CSC1001: Introduction to Computer Science: Programming Methodology. Teaching Assistant, 2022 fall
• CSC1002: Computational Laboratory. Teaching Assistant, 2023 spring, 2024 spring
• MFE5250: Programming for Financial Engineering. Teaching Assistant, 2023 fall, 2024 fall
• DDA5001: Machine Learning. Teaching Assistant, 2025 spring & fall