PhD in Computer Science (Oct 2021 – Jul 2025)
University of New South Wales, Sydney, Australia
Supervisors: Scientia Prof. Xuemin Lin, Prof. Wenjie Zhang
Research Group: Data and Knowledge Research Group
MPhil in Computer Science (Sept 2021)
University of New South Wales, Sydney, Australia
Bachelor of Data Science & Decisions (Sept 2019)
University of New South Wales, Sydney, Australia
Associate Professor, Global College, Shanghai Jiao Tong University (Jun 2026 – Present)
Research and teaching in computer science and data analytics.
Associate Lecturer, UNSW School of CSE (Aug 2025 – Jun 2026)
Teaching COMP3311 Database Systems; marking and assessment; student advising; curriculum development.
Postdoctoral Fellow, UNSW School of CSE (Mar 2025 – Jul 2025)
Research in privacy-preserving AI and differential privacy; developed GenText and GenText-QA frameworks for privacy-preserving question answering; collaboration with CSIRO Data61.
Casual Academic, UNSW School of CSE (Dec 2024 – Aug 2025)
Teaching ZZEN9311 and COMP3311; marking and assessment.
Teaching Assistant, UNSW School of CSE (Jun 2020 – Oct 2024)
Developed course materials, supervised tutorials, and held individual consultations for Database Systems, Intro to Data Science, Graph Analytics, and Big Data Management. Automated project marking and PostgreSQL configuration using Shell scripts. Demonstrated applications of graph neural networks, Word2Vec, Node2Vec, and Graph Convolutional Networks with PyTorch.
Yizhang He, Wenjie Zhang, Kai Wang, Xuemin Lin, Ying Zhang, Wei Ni. Efficient and Effective Biclique Counting with Local Differential Privacy. In Proc. ACM Manag. Data (SIGMOD), 4(1): 1-24, 2026.
Yizhang He, Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang, Wei Ni. Robust Privacy-Preserving Triangle Counting under Edge Local Differential Privacy. In Proc. ACM Manag. Data (SIGMOD), 3(3): 211:1-211:26, 2025.
Yizhang He, Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang. Common Neighborhood Estimation over Bipartite Graphs under Local Differential Privacy. In Proc. ACM Manag. Data (SIGMOD), 2(6): 228:1-228:26, 2024. Also In SIGMOD, 2025.
Yuting Zhang, Wei Ni, Kai Wang, Yizhang He, Conggai Li. Truss Decomposition Under Edge Local Differential Privacy. In IEEE ICDE, pages 2670-2683, 2025.
Shunyang Li, Kai Wang, Wenjie Zhang, Xuemin Lin, Yizhang He. Efficient Bitruss Decomposition on GPU. IEEE Trans. Knowl. Data Eng., 37(8): 4578-4590, 2025.
Shunyang Li, Kai Wang, Xuemin Lin, Wenjie Zhang, Yizhang He, Long Yuan. Querying Historical Cohesive Subgraphs over Temporal Bipartite Graphs. In IEEE ICDE, pages 2503-2516, 2024.
Yizhang He, Kai Wang, Wenjie Zhang, Xuemin Lin, Wei Ni, Ying Zhang. Butterfly Counting over Bipartite Graphs with Local Differential Privacy. In IEEE ICDE, pages 2351-2364, 2024.
Yizhang He, Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang. Discovering Critical Vertices for Reinforcement of Large-scale Bipartite Networks. VLDB J., 33(6): 1861-1886, 2024.
Yizhang He, Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang. Scaling Up k-Clique Densest Subgraph Detection. In Proc. ACM Manag. Data (SIGMOD), 1(1): 69:1-69:26, 2023.
Kai Wang, Gengda Zhao, Wenjie Zhang, Xuemin Lin, Ying Zhang, Yizhang He, Chunxiao Li. Cohesive Subgraph Discovery over Uncertain Bipartite Graphs. IEEE Trans. Knowl. Data Eng., 35(11): 11165-11179, 2023.
Gengda Zhao, Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang, Yizhang He. Efficient Computation of Cohesive Subgraphs in Uncertain Bipartite Graphs. In IEEE ICDE, pages 2333-2345, 2022.
Yizhang He, Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang. Efficient Reinforcement of Bipartite Networks at Billion Scale. In IEEE ICDE, pages 446-458, 2022.
Yizhang He, Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang. Exploring Cohesive Subgraphs with Vertex Engagement and Tie Strength in Bipartite Graphs. Information Sciences, 572: 277-296, 2021.