Biography

I am currently a resercher in Shenzhen Institute of Computing Sciences. I obtained my PhD degree in The Hong Kong University of Science and Technology (HKUST), supervised by Prof. Raymond Chi-Wing WONG in 2019. I obtained my BEng degree in a joint program of The Hong Kong University of Science and Technology (HKUST) and Sun Yat-sen University in 2014.

Contact

xiemin@sics.ac.cn

Research Interests

Database; Data Mining

Publications

[Google Scholar] (^* represents corresponding author) (⁺ indicates that author names or major contributors are listed in alphabetical order)

• Wenfei Fan, Yang Leng, Daji Li, Shuhao Liu, Mingliang Ouyang, Yaoshu Wang, Min Xie⁺, Qiang Yuan
  DreamCreek: AI for Battery Formation and Grading,
  The 41th IEEE International Conference on Data Engineering (ICDE 2025) (Demonstration Paper) [Paper]

• Weicheng Wang, Victor Junqiu Wei^*, Min Xie^*, Di Jiang, Lixin Fan, Haijun Yang
  Interactive Search with Reinforcement Learning,
  The 41th IEEE International Conference on Data Engineering (ICDE 2025) [Paper]

• Wenfei Fan, Lihang Fan, Dandan Lin^*, Min Xie⁺
  Explaining GNN-based Recommendations in Logic,
  The 51th International Conference on Very Large Data Bases (VLDB 2025) [Paper]

• Xiaoke Zhu, Min Xie^*, Ting Deng, Qi Zhang
  HyperBlocker: Accelerating Rule-based Blocking in Entity Resolution using GPUs,
  The 51th International Conference on Very Large Data Bases (VLDB 2025) [Paper]

• Wenfei Fan, Ziyan Han, Min Xie⁺, Guangyi Zhang^*,
  Discovering Top-k Relevant and Diversified Rules,
  The 2025 ACM Conference on Management of Data (SIGMOD 2025) [Paper]

• Mengyi Yan, Yaoshu Wang, Kehan Pang, Min Xie, Jianxin Li,
  Efficient Mixture of Experts based on Large Language Models for Low-Resource Data Preprocessing,
  The Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024) [Paper]

• Zian Bao, Binbin Bie, Wenfei Fan, Daji Li, Mengyun Li, Kaiwen Lin, Wei Lin, Peijie Liu, Peng Liu, Zhicong Lv, Mingliang Ouyang, Chenyang Sun, Shuai Tang, Yaoshu Wang, Qiyuan Wei, Xiangqian Wu, Min Xie⁺, Jing Zhang, Runxiao Zhao, Jie Zhu, Yilin Zhu，
  Rock: Cleaning Data with both ML and Logic Rules,
  The 50th International Conference on Very Large Data Bases (VLDB 2024) (Demonstration Paper) [Paper]

• Wenfei Fan, Daji Li, Peiyu Liang, Shuhao Liu, Yaoshu Wang, Yiming Wang, Min Xie⁺, and Runjie Zhang,
  Graph Association Analyses for Early Drug Discovery,
  The 50th International Conference on Very Large Data Bases (VLDB 2024) (Demonstration Paper) (Best Demo Award , 1 out of 66 accepted demos) [Paper]

• Mengyi Yan, Wenfei Fan, Yaoshu Wang, Min Xie^*,
  Enriching Relations with Additional Attributes for ER,
  The 50th International Conference on Very Large Data Bases (VLDB 2024) [Paper]

• Wenfei Fan, Ziyan Han, Weilong Ren^*, Ding Wang, Yaoshu Wang, Min Xie⁺, Mengyi Yan,
  Splitting Tuples of Mismatched Entities,
  The 2024 ACM Conference on Management of Data (SIGMOD 2024) [Paper]

• Xianchun Bao, Zian Bao, Binbin Bie, Qingsong Duan, Wenfei Fan, Hui Lei, Daji Li, Wei Lin, Peng Liu, Zhicong Lv, Mingliang Ouyang, Shuai Tang, Yaoshu Wang^*, Qiyuan Wei, Min Xie⁺, Jing Zhang, Xin Zhang, Runxiao Zhao, Shuping Zhou,
  Rock: Cleaning Data by Embedding ML in Logic Rules,
  The 2024 ACM Conference on Management of Data (SIGMOD 2024) (Industrial Paper) [Paper]

• Weicheng Wang, Raymond Chi-Wing Wong^*, H.V. Jagadish, Min Xie^*,
  Reverse Regret Query,
  The 40th IEEE International Conference on Data Engineering (ICDE 2024) (Best Paper Award , 1 out of 337 accepted papers) [Paper]

• Hao Liu, Zheng Zhang, Raymond Chi-Wing Wong, Min Xie, Bo Tang,
  Fair Top-k Query on Alpha-Fairness,
  The 40th IEEE International Conference on Data Engineering (ICDE 2024) [Paper]

• Weicheng Wang, Min Xie^*, Raymond Chi-Wing Wong,
  MixedSearch: An Interactive System of Searching for the Best Tuple with Mixed Attributes,
  The 40th IEEE International Conference on Data Engineering (ICDE 2024) (Demonstration Paper) [Paper]

• Wenfei Fan, Resul Tugay, Yaoshu Wang^*, Min Xie⁺, Muhammad Asif Ali,
  Learning and Deducing Temporal Orders,
  The 49th International Conference on Very Large Data Bases (VLDB 2023) [Paper]

• Wenfei Fan, Ziyan Han, Yaoshu Wang, Min Xie^*+,
  Discovering Top-k Rules using Subjective and Objective Criteria,
  The 2023 ACM Conference on Management of Data (SIGMOD 2023) [Paper]

• Weicheng Wang, Raymond Chi-Wing Wong, Min Xie,
  Interactive Search with Mixed Attributes,
  The 39th IEEE International Conference on Data Engineering (ICDE 2023) [Paper]

• Min Xie, Yang Liu,
  Favorite+: Favorite Tuples Extraction via Regret Minimization,
  The Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM 2022) (Demonstration Paper) [Paper]

• Min Xie,
  Accelerated Algorithms for α-Happiness Query,
  The Asia-Pacific Web (APWeb 2022) and Web-Age Information Management (WAIM 2022) Joint International Conference on Web and Big Data [Paper]

• Wenfei Fan, Ziyan Han, Yaoshu Wang, Min Xie⁺,
  Parallel Rule Discovery from Large Datasets by Sampling,
  The 2022 ACM Conference on Management of Data (SIGMOD 2022) [Paper]

• Weicheng Wang, Raymond Chi-Wing Wong, Min Xie,
  Interactive Search for One of the Top-k,
  The 2021 ACM Conference on Management of Data (SIGMOD 2021) [Paper]

• Min Xie, Raymond Chi-Wing Wong, Peng Peng, Vassilis Tsotras,
  Being Happy with the Least: Achieving α-happiness with Minimum Number of Tuples,
  The 36th IEEE International Conference on Data Engineering (ICDE 2020) [Paper]

• Dandan Lin, Raymond Chi-Wing Wong, Min Xie, Victor Junqiu Wei,
  Index-Free Approach with Theoretical Guarantee for Efficient Random Walk with Restart Query,
  The 36th IEEE International Conference on Data Engineering (ICDE 2020) [Paper]

• Min Xie^*, Raymond Chi-Wing Wong, Ashwin Lall,
  An Experimental Survey of Regret Minimization Query and Variants: Bridging the Best Worlds between Top-k Query and Skyline Query,
  VLDB Journal 29(1): 147-175 (2020) [Paper]

• Rongzhong Lian, Min Xie, Fan Wang, Jinhua Peng, Hua Wu,
  Learning to Select Knowledge for Response Generation in Dialog Systems,
  The Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19) [Paper]

• Min Xie, Raymond Chi-Wing Wong, Ashwin Lall,
  Strongly Truthful Interactive Regret Minimization,
  The 2019 ACM Conference on Management of Data (SIGMOD 2019) [Paper]

• Min Xie, Tianwen Chen, Raymond Chi-Wing Wong,
  FindYourFavorite: An Interactive System for Finding the User's Favorite Tuple in the Database,
  The 2019 ACM Conference on Management of Data (SIGMOD 2019) (Demonstration Paper) [Paper]

• Min Xie, Raymond Chi-Wing Wong, Jian Li, Cheng Long, Ashwin Lall,
  Efficient k-Regret Query Algorithm with Restriction-free Bound for any Dimensionality,
  The 2018 ACM Conference on Management of Data (SIGMOD 2018) [Paper]

• Min Xie,
  EDS: a segment-based distance measure for sub-trajectory similarity search,
  The 2014 ACM Conference on Management of Data (SIGMOD 2014) (Undergraduate Research Poster Competition) (Best Submission Award ) [Paper]

• Cheng Long, Raymond Chi-Wing Wong, Bin Zhang, Min Xie,
  Hypersphere Dominance: An Optimal Approach,
  The 2014 ACM Conference on Management of Data (SIGMOD 2014) [Paper]

Honors and Awards

• VLDB 2024 Best Demo Award (2024)
• ICDE 2024 Best Paper Award (2024)
• 深圳市龙华区龙舞华章计划高层次人才 (B类, 2022)
• 深圳市海外高层次人才 (C类, 2020)
• IJCAI 2019 Travel Grant (2019)
• SIGMOD 2019 Student Travel Award (2019)
• SIGMOD 2018 Student Travel Award (2018)
• Overseas Research Awards (2018)
• Best TA Award (2016)
• Mr Armin & Mrs Lillian Kitchell Undergraduate Research Award Second Runner-Up (2015)
• Hong Kong PhD Fellowship (2015)
• SIGMOD 2014 Student Travel Award (2014)
• SIGMOD 2014 Undergraduate Research Competition Best Submission Award (2014)
• SIGMOD 2014 Undergraduate Research Poster Competition Finalist (2014)
• Academic Achievement Metal (The highest honor bestowed by the University on undergraduates upon graduation) (2014)
• Notable Final Year Project (2014)
• Dean’s List (2013, 2014)
• Wing Lung Bank Scholarship (2013)
• First Class Scholarship (2010, 2011)
• National Scholarship (2010, 2011)

Academic Services

• (External) Reviewer: SIGMOD; VLDB; ICDE; TKDE; KDD; CIKM; ICDM; IJCAI; SSTD; PAKDD; MDM; etc.

Teaching Assistant Experience

• COMP1942: Exploring and Visualizing Data

Internship Experience

• Natural Language Processing (NLP), Baidu International Technology, Shenzhen, China (2018 Dec – 2019 May)

Research Experience

• Research Visitor at Denison University, USA (Jun 2018-Aug 2018),
  conduct research with Dr. Lall Ashwin

• Research Visitor at KAIST (Korea Advanced Institute of Science and Technology) (Jun 2015-Aug 2015),
  conduct research with Prof. Whang, Kyu-Young