Co-authors
2
list available
Resume (English only)
Academic Achievements
- - (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) Core-periphery detection based on masked Bayesian nonnegative matrix factorization
Research 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
Education
- - Master's Degree: Software Engineering, Zhejiang University, Hangzhou, China (Sep 2024 - Present)
- - Advisor: Sheng Zhou
- - Research Interests: Data Mining, Graph Neural Networks, Label Noise, LLMs for Graph
- - Bachelor's Degree: 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
Background
- - Research Interests: Graph Machine Learning, LLMs for Graph
- - Professional Field: Data Mining, Graph Neural Networks, Label Noise, LLMs for Graph
- - About Me: Currently a master’s student in Software Engineering at Zhejiang University, conducting research under the guidance of Dr. Sheng Zhou, and serving as a research intern at Alibaba Group.
Miscellany
- - Actively seeking a Ph.D. position and internship opportunity to further advance academic and research career
- - Served as a reviewer for NeurIPS 2025