Xinjian Zhao (赵鑫鉴)
About Me
I am a 3rd-year CS PhD student at the Chinese University of Hong Kong, Shenzhen, where I am grateful to be advised by Prof. Tianshu Yu. I also had a wonderful time as a visiting PhD student hosted by Prof. Shu Wu at CAS. My research focuses on graph machine learning and AI applications in scientific domains.
Before my PhD, I obtained my M.S. in Data Science from the City University of Hong Kong under the supervision of Dr. Ruocheng Guo, and my B.S. in Computer Science from Shandong University under the supervision of Prof. Xuemeng Song.
Research Interests
- Graph Augmented Intelligence
- Efficient Graph Representation Learning
- AI4Science
- Important applications in the real world (Recommendation Systems, Industrial Engineering etc.)
Publications & Preprints
* Equal contribution
When Vision Meets Graphs: A Survey on Graph Reasoning and Learning
Xinjian Zhao, Wei Pang, Zhixuan Yu, Xiangru Jian, Xiaozhuang Song, Yaoyao Xu, Zhongkai Xue, Dingshuo Chen, Shu Wu, Philip Torr, Tianshu Yu
Preprint, 2026
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
International Conference on Learning Representations (ICLR) , 2026
The Underappreciated Power of Vision Models for Graph Structural Understanding
Xinjian Zhao *, Wei Pang *, Zhongkai Xue *, Xiangru Jian *, Lei Zhang, Yaoyao Xu, Xiaozhuang Song, Shu Wu, Tianshu Yu.
Conference on Neural Information Processing Systems (NeurIPS), 2025
Graph Learning with Distributional Edge Layouts
Xinjian Zhao, Chaolong Ying, Yaoyao Xu, Tianshu Yu
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025
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 (TMLR), 2025
Boosting Protein Language Models with Negative Sample Mining
Yaoyao Xu *, Xinjian Zhao *, Xiaozhuang Song, Benyou Wang, Tianshu Yu
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2024
Boosting Graph Pooling with Persistent Homology
Chaolong Ying, Xinjian Zhao, Tianshu Yu
Conference on Neural Information Processing Systems (NeurIPS), 2024
Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation
Xinjian Zhao, Liang Zhang, Yang Liu, Ruocheng Guo, Xiangyu Zhao
Preprint, 2024
Embedding in Recommender Systems: A Survey
Maolin Wang*, Xinjian Zhao *, Wanyu Wang*, Sheng Zhang, Jiansheng Li, Bowen Yu, Binhao Wang, Shucheng Zhou, Dawei Yin, Qing Li, Ruocheng Guo, Xiangyu Zhao 📝 Paper List
Preprint, 2026
AOT*: Efficient Synthesis Planning via LLM-Empowered AND-OR Tree Search
Xiaozhuang Song, Xuanhao Pan, Xinjian Zhao, Hangting Ye, Shufei Zhang, Jian Tang, Tianshu Yu
Preprint, 2025
Mentorships
Co-supervision with Prof. Tianshu Yu
Undergraduate Students
- Zhongkai Xue (2024.12-Present) - B.S. in Financial Engineering, CUHK-Shenzhen.
- Achievements: • NeurIPS 2025 • Research Intern at ByteDance
- Next position: CS PhD student at UCAS
Zhixuan Yu (2025.11-Present) - B.S. in Electronic and Computer Engineering, CUHK-Shenzhen.