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I am currently a Ph.D. student at the University of Technology Sydney, under the supervision of Prof. Ying Zhang and A/Prof. Lu Qin. I hold both my Bachelor's and Master's degrees from Zhejiang Gongshang University. My Master's degree was completed under the supervision of Prof. Xiaoyang Wang. My research focuses on developing machine learning algorithms for graph-structured data and database systems, including developing graph neural network architectures and applying machine learning techniques to improve the algorithms in the database domain.

• 🏫 I’m currently studying at University of Technology Sydney as a Ph.D. student.

• 📚 I’m currently researching Graph Neural Networks.

• [HPCC 2023] KGNIE: A Learning Method for Estimating Node Importance in Knowledge Graphs

• [ADC 2023] IFGNN: An Individual Fairness Awareness Model for Missing Sensitive Information Graphs

• [WWWJ 2023] FPGN: follower prediction framework for infectious disease prevention

• [KDD 2023] Group-based Fraud Detection Network on e-Commerce Platforms

• [TKDE 2023] Neural Similarity Search on Supergraph Containment

• [WWWJ 2023] Bipartite graph capsule network

• [WWWJ 2022] Polarity-based graph neural network for sign prediction in signed bipartite graphs

• 2021.11.18 - 2022.03.31, Taobao, Alibaba Group, Hangzhou, China.
• 2022.07.18 - 2023.4.28, DAMO Academy/Alibaba Cloud, Alibaba Group, Hangzhou, China.

• 2023.07 - (now), Ph.D., Information Technology, University of Technology Sydney, Sydney, Australia.
• 2020.09 - 2023.06, M.Eng., Electronic Information, Zhejiang Gongshang University, Hangzhou, China.
• 2016.09 - 2020.06, B.Eng., Electronic Information Engineering, Zhejiang Gongshang University, Hangzhou, China.

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