Publications

Conference papers

** indicates that author names are listed in alphabetical order. You can also find my articles on my Google Scholar profile.

Ziyan Han, Jing Zhu, Jinbin Huang, Sifan Huang, Yaoshu Wang, Rui Mao*, and Jianbin Qin*, BClean+: A Bayesian Data Cleaning System with Automated Prior Generation, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2026 [Paper] [Source Code]
Ziyan Han, Wanjia Chen, Yunpeng Han, Rui Mao, and Jianbin Qin*, Fast Diversified Top-k Rule Discovery via User-Guided Embeddings, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2026 [Paper] [Source Code]
Ziyan Han, Jing Zhu, Jinbin Huang, Rui Mao*, and Jianbin Qin*, BClean+: A Bayesian Data Cleaning System with Automated Prior Generation, IEEE 42nd International Conference on Data Engineering, Demo Track (ICDE Demo), 2026 [Paper] [Video]
Ziyan Han, Xinwei Lin, Peng Di, Chuan Xiao, Makoto Onizuka, Jiuzhang Liu, Rui Mao*, and Jianbin Qin*, Automatic String Data Validation with Pattern Discovery, Database Systems for Advanced Applications (DASFAA), 2026 [Paper] [Slides]

Wenfei Fan, Ziyan Han**, Min Xie, and Guangyi Zhang, Discovering Top-k Relevant and Diversified Rules, Proceedings of the ACM on Management of Data (SIGMOD), 2025 [Paper] [Slides] [Source Code]

Wenfei Fan, Ziyan Han**, Weilong Ren, Ding Wang, Yaoshu Wang, Min Xie, and Mengyi Yan, Splitting Tuples of Mismatched Entities, Proceedings of the ACM on Management of Data (SIGMOD), 2024 [Paper] [Slides] [Source Code]

Wenfei Fan, Ziyan Han**, Yaoshu Wang, and Min Xie, Discovering Top-k Rules using Subjective and Objective Criteria, Proceedings of the ACM on Management of Data (SIGMOD), 2023 [Paper] [Slides] [Source Code]

Wenfei Fan, Ziyan Han**, Yaoshu Wang, and Min Xie, Parallel Rule Discovery from Large Datasets by Sampling, Proceedings of the 2022 International Conference on Management of Data (SIGMOD), 2022 [Paper] [Slides] [Source Code]

Ting Deng, Lei Hou, and Ziyan Han, Keys as features for graph entity matching, IEEE 36th International Conference on Data Engineering (ICDE), 2020 [Paper]