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
• Graph Matching
• Geographic Information Systems
• Combinatorial Optimization on Graphs

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.

Publications

• Xiangru Jian, Xinjian Zhao, Wei Pang, Chaolong Ying, Yimu Wang, Yaoyao Xu, and Tianshu Yu, Do spectral cues matter in contrast-based graph self-supervised learning? (Accepted by TMLR)
• Xinjian Zhao, Chaolong Ying, and Tianshu Yu, Graph Learning with Distributional Edge Layouts. (Accepted by KDD 2025)
• Chaolong Ying, Xinjian Zhao, and Tianshu Yu, Boosting graph pooling with persistent homology. (Accepted by NeurIPS 2024)
• Chaolong Ying, Jing Liu, Kai Wu, and Chao Wang, A multiobjective evolutionary approach for solving large-scale network reconstruction problems via logistic principal component analysis. (Accepted by IEEE Transactions on Cybernetics)
• Chao Wang, Jing Liu, Kai Wu, and Chaolong Ying, Learning large-scale fuzzy cognitive maps using an evolutionary many-task algorithm (Accepted by Applied Soft Computing)

Services

Conference Reviewer: NeurIPS, ICML, ICLR, AISTATS

Honors and Awards

• Duan Yong Ping Travel Award, 2024
• Outstanding Graduates of Xidian University, 2022
• National Scholarship, 2021