**Discovering Top-k Relevant and Diversified Rules
Wenfei Fan, Ziyan Han, Min Xie, and Guangyi Zhang, 2024. Discovering Top-k Relevant and Diversified Rules. Proceedings of the ACM on Management of Data (SIGMOD), 2(4), pp.1-28.
Wenfei Fan, Ziyan Han, Min Xie, and Guangyi Zhang, 2024. Discovering Top-k Relevant and Diversified Rules. Proceedings of the ACM on Management of Data (SIGMOD), 2(4), pp.1-28.
Wenfei Fan, Ziyan Han, Weilong Ren, Ding Wang, Yaoshu Wang, Min Xie, and Mengyi Yan, 2023. Splitting Tuples of Mismatched Entities. Proceedings of the ACM on Management of Data (SIGMOD), 1(4), pp.1-29.
Wenfei Fan, Ziyan Han, Yaoshu Wang, and Min Xie, 2023. Discovering Top-k Rules using Subjective and Objective Criteria. Proceedings of the ACM on Management of Data (SIGMOD), 1(1), pp.1-29.
Wenfei Fan, Ziyan Han, Yaoshu Wang, and Min Xie. "Parallel rule discovery from large datasets by sampling." In Proceedings of the 2022 International Conference on Management of Data, pp. 384-398. 2022.
Ting Deng, Lei Hou, and Ziyan Han. "Keys as features for graph entity matching." 2020 IEEE 36th International Conference on Data Engineering (ICDE). IEEE, 2020.
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, California