Xinjian Zhao (赵鑫鉴)

Short Bio

Hi, I am a second-year CS PhD student at the Chinese University of Hong Kong, Shenzhen, under the supervision of Prof. Tianshu Yu. I obtained my B.S. in Computer Science from Shandong University under the supervision of Prof. Xuemeng Song. After that, I obtained my M.S. in Data Science from the City University of Hong Kong under the supervision of Dr. Ruocheng Guo.

Research Interests:

• Graph Augmented Intelligence.
• AI4Science.
• Efficient Graph Representation Learning.

Experience

• Visiting PhD student, Institute of Automation, Chinese Academy of Science, hosted by Prof. Shu Wu

Preprint

^ equal contribution

• GraphOmni: A Comprehensive and Extendable Benchmark Framework for Large Language Models on Graph-theoretic Tasks

Hao Xu^, Xiangru Jian^, Xinjian Zhao^, Wei Pang^, Chao Zhang, Suyucheng Wang, Qixin Zhang, Zhengyuan Dong, Joao Monteiro, Bang Liu, Qiuzhuang Sun, Tianshu Yu

• Embedding in Recommender Systems: A Survey.

Xiangyu Zhao^, Maolin Wang^, Xinjian Zhao^, Jiansheng Li, Shucheng Zhou, Dawei Yin, Qing Li, Jiliang Tang, Ruocheng Guo. Paper list

• Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation

Xinjian Zhao, Liang Zhang, Yang Liu, Ruocheng Guo, Xiangyu Zhao

Publications

• Rethinking Spectral Augmentation for Contrast-based Graph Self-Supervised Learning

Xiangru Jian^, Xinjian Zhao^, Wei Pang^, Chaolong Ying, Yimu Wang, Yaoyao Xu, Tianshu Yu. Transactions on Machine Learning Research 2025

• Graph Learning with Distributional Edge Layouts

Xinjian Zhao, Chaolong Ying, Yaoyao Xu, Tianshu Yu. SIGKDD 2025

• Boosting Protein Language Models with Negative Sample Mining

Yaoyao Xu^, Xinjian Zhao^, Xiaozhuang Song, Benyou Wang, Tianshu Yu. ECML 2024

• Boosting Graph Pooling with Persistent Homology.

Chaolong Ying, Xinjian Zhao, Tianshu Yu. NeurIPS 2024

Mentorship

• Zhongkai Xue