Jianwei Wang is currently a postdoctoral research fellow at Univeristy of New South Wales (UNSW), working with Prof. Wenjie Zhang, Prof. Xuemin Lin, Prof. Ying Zhang, Prof. Kai Wang. He received his PhD degree in Computer Science and Engineering from UNSW University in 2025. He received his B.Eng. degree in Chu Kochen Honors College from Zhejiang University in 2021.
His current research focuses on data management and data quality, particularly on techniques based on graph-language foundation models for accurate, automatic, and efficient data preparation.
Two to three fully funded PhD scholarships are available at UNSW. If you are interested in pursuing a Master’s, MPhil, or PhD degree in big data preparation and management in UNSW, please feel free to get in touch.
🔥 News
- June. 2025. Excited to launch the personal website 🎉🎉!
📄 Publications
(* indicates corresponding author)
- preprint and under review:
- Jianwei Wang, Yuehai Wang, Kai Wang*, Xuemin Lin, Wenjie Zhang, and Ying Zhang. Ensemble-based Deep Multilayer Community Search.
- Mengshi Chen, Yuxiang Sun, Tengchao Li, Jianwei Wang*, Kai Wang, Wenjie Zhang, Ying Zhang, and Xuemin Lin. Orchestrating Large Language Models for Data Preparation: A Survey.
- Jianwei Wang, Mengqi Wang, Yinsi Zhou, Zhenchang Xing, Qing Liu, Xiwei Xu, Wenjie Zhang, and Liming Zhu. LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements.
- 2025:
- Jianwei Wang, Kai Wang*, Ying Zhang*, Wenjie Zhang, Xiwei Xu, and Xuemin Lin. On LLM-Enhanced Mixed-Type Data Imputation with High-Order Message Passing. VLDB.
- Mo Zhou, Jianwei Wang*, Xuanmeng Zhang, Dylan Campbell, Kai Wang, Long Yuan, Wenjie Zhang, and Xuemin Lin*. ProbDiffFlow: An Efficient Learning-Free Framework for Probabilistic Single-Image Optical Flow Estimation. Frontiers of Computer Science.
- Jiawei Zhou, Kai Wang*, Jianwei Wang, Kunpeng Zhang, and Xuemin Lin. COMET: An Interactive Framework for Efficient and Effective Community Search via Active Learning. INFORMS Journal on Computing.
- Jingye Zhao, Jianan Shen, Jianwei Wang*, Tianyuan Zhou, Ruijia Wu, Kai Wang, and Xuemin Lin. Account Risk Detection in Large-Scale Financial Graphs with Auxiliary Asset Prediction. TKDE (Under revision).
- 2024:
- Jianwei Wang, Kai Wang*, Xuemin Lin, Wenjie Zhang, and Ying Zhang. Efficient Unsupervised Community Search with Pre-trained Graph Transformer. VLDB.
- Jianwei Wang, Ying Zhang*, Kai Wang*, Xuemin Lin, and Wenjie Zhang. Missing Data Imputation with Uncertainty-Driven Network. SIGMOD.
- Jianwei Wang, Kai Wang*, Xuemin Lin, Wenjie Zhang, and Ying Zhang. Neural Attributed Community Search at Billion Scale. SIGMOD.
💴 Working and Teaching Experience
- 2024.11 - Now, Postdoctoral Research Fellow, Univeristy of New South Wales, Sydney, Australia
- 2021 - 2024, Casual Academic and Teaching Assistant.
- Data Analytics for Graphs (COMP9312, 2022, UNSW)
- Data Science and Decision (COMP1001, 2023, UNSW)
- Database Systems (COMP9311, 2022, 2023, UNSW)
- Database Systems Implementation (COMP9315, 2023, UNSW)
📖 Education
- 2021.09 - 2025.04, Ph.D. candidate, College of Computer Science and Engineering, Univeristy of New South Wales, Sydney, Australia
- 2017.09 - 2021.06, B.Eng. in Chu Kochen Honors College, Zhejiang University, China.
👩🏫 Professional Service
- Organizing Committee
- Local Chair of Autralian Database Conference 2025.
- Program Committee
- 2025: VLDB 2025 (Shadow PC), ICDE 2025, ICLR 2025, APWeb-WAIM 2025, CIKM 2025
- 2024: APWeb-WAIM 2024, ICDE 2024 (External reviewer).
- 2023: ECML (External reviewer)
- Invited Journal Reviewer:
- ACM Transaction on Database Systems (TODS)
🏆 Awards
- May. 2024: National Outstanding Self-financed International Student Scholarship.
- May. 2024: SIGMOD Travel Award.
- June. 2021: Outstanding graduate and outstanding undergraduate thesis in Zhejiang University.
- Sep. 2016: First Prize, Chinese Chemistry Olympiad (CChO, Provincial Competition Area).