I’m currently a master’s student in Software Engineering at Zhejiang University, 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:

• Data Mining
• Weakly Supervised Learning
• Graph Neural Networks

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) Zhonghao Wang, Yuanchen Bei, Sheng Zhou, Zhiyao Zhou, Jiapei Fan, Hui Xue, Haishuai Wang, Jiajun Bu, “Learning from Graph: Mitigating Label Noise on Graph through Topological Feature Reconstruction” [Code]
• (NeurIPS 2024) Zhonghao Wang, Danyu Sun, Sheng Zhou, Haobo Wang, Jiapei Fan, Longtao Huang, Jiajun Bu. “NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise.” Advances Neural Information Processing Systems 37: 38142–38170. [Paper] [Code] [Slide]
• (IEEE TCSS) Zhonghao Wang, Ru Yuan, Jiaye Fu, Ka-Chun Wong, Chengbin Peng. Core-periphery detection based on masked Bayesian nonnegative matrix factorization[J]. IEEE Transactions on Computational Social Systems, 2024, 11(3): 4102-4113. [Paper] [Code]

Education

• M.E. in Software Engineering. Zhejiang University, Hangzhou, China (Sep 2024 - Present)
  • Advisor: Sheng Zhou
  • Research Interests: Data Mining, Graph Neural Networks, Label Noise, LLMs for Graph
• B.E. in Computer Science. Ningbo University, Ningbo, China (Sep 2020 - Jun 2024)
  • Advisor: Chengbin Peng
  • Research Interests: 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 Algorithms under Label Noise.
• Serve as Reviewer
  • NeurIPS 2025.