About Me
I’m currently a Master’s student in Software Engineering at Zhejiang University and a member of Eagle-Lab, where I conduct research under the guidance of Dr. Sheng Zhou. Also, I serve as a research intern at Alibaba Group.
My primary research areas include:
- Graph Machine Learning
- LLMs for Graph
I am actively seeking a Ph.D. position and internship opportunity to further advance my academic and research career. If you believe I’d be a good fit for your program or project, please feel free to contact me at wongzhonghao123@gmail.com.
Selected Publications
- [CIKM 2025] Learning from Graph: Mitigating Label Noise on Graph through Topological Feature Reconstruction
- [NeurIPS 2024] NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise
- [IEEE TCSS 2024] Core-periphery detection based on masked Bayesian nonnegative matrix factorization
Education
- M.E. in Software Engineering. Zhejiang University, Hangzhou, China (Sep 2024 - Present)
- Advisor: Sheng Zhou
- Research Interests: Graph Neural Networks, Label Noise, LLMs for Graph
- National Scholarship.
- B.E. in Computer Science. Ningbo University, Ningbo, China (Sep 2020 - Jun 2024)
- Advisor: Chengbin Peng
- Research Interests: Graph Data Mining, Complex Networks
- GPA: 3.7 / 4.0, Rank: 1 / 86
Experience
- Research Intern
- Alibaba Group, Hangzhou, China (Jul 2024 - Present)
- Jul 2025 - Present, Alibaba Security, LLMs for Graph.
- Jul 2024 - Jul 2025, Alibaba Security, Robust Graph Learning under Label Noise.
- Serve as Reviewer
- NeurIPS 2025.
- Frontiers of Computer Science.
- Serve as Volunteer
- 2025 Zhejiang University SD Global Summer School.