معرفی
Haozhe Zhang is a Postdoctoral Researcher in the Data Systems and Theory (DaST) group at the Department of Informatics, University of Zurich, supervised by Prof. Dan Olteanu. His career bridges theoretical research and practical implementation in database systems.
Education:
- DPhil in Computer Science, University of Oxford (2023)
- MSc in Computer Science, University of Oxford (2017)
- BSc in Computer Science, University of Nottingham (2016)
Research Focus: Haozhe's work centers on database theory, emphasizing incremental view maintenance and cardinality estimation. His research explores efficient algorithms for dynamic relational data, theoretical foundations of conjunctive queries, and robust cardinality estimation techniques like LpBound.
Publications & Trends: His contributions include theoretical analyses of conjunctive queries under updates, practical systems like F-IVM for analytics over evolving data, and worst-case optimal algorithms for triangle counting. Recent work at SIGMOD 2025 and ICDT/AMW workshops highlights advancements in dynamic query evaluation and cardinality estimation guarantees.
Scientific Recognition:
- Best Paper Award, SIGMOD 2025
- Best Paper Award, ICDT 2019
Teaching Contributions:
- Instructor, Foundations of Data Sciences (UZH, Fall 2024)
- Teaching Assistant for Foundations of Data Sciences (UZH, Fall 2020–Fall 2023), Efficient Algorithms (UZH, Spring 2021–Spring 2025), and Modern Data Analytics (UZH, Fall 2023).
