Qichen Wang

I am a Research Assistant Professor in Department of Computer Science at Hong Kong Baptist University. I received my PhD degree from the Department of Computer Science and Technology at Hong Kong University of Science and Technology, supervised by Professor Ke Yi. Before that, I received my Bachelor’s Degree in Engineering from the Computer Science Department at Zhejiang University. During Aug. 2016 to Jan. 2017, I was a research intern in the Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, supervised by Professor Hong Cheng and Professor Jeffrey Xu Yu. I also worked as a research intern in Alibaba, DAMO Academy from June 2019 to Oct. 2019.

Looking for Research Assistants, PhD Students (Co-supervised) and Postdoc Research Fellows. Feel free to email me your CV and related materials.

Research interest

Database Theory and Algorithms; Streaming Processing; Distributed and Parallel Computing; Query Processing for ML & ML for Query Processing; Privacy and Security in Query Processing.

Selected Publications

Conference papers

• Change Propagation without Joins.
  Qichen Wang, Xiao Hu, Binyang Dai and Ke Yi.
  International Conference on Very Large Data Bases (VLDB), August 2023
  

• Conjunctive Queries with Comparisons.
  Qichen Wang and Ke Yi.
  ACM SIGMOD International Conference on Management of Data (SIGMOD), June 2022.
  (Selected as the ACM SIGMOD Best Paper Honorable Mention)

• Maintaining Acyclic Foreign-Key Joins Under Updates.
  Qichen Wang and Ke Yi.
  ACM SIGMOD International Conference on Management of Data (SIGMOD), June 2020.

• Efficient Computation of a Near-Maximum Independent Set over Evolving Graphs.
  Weiguo Zheng, Qichen Wang, Jeffrey Xu Yu, Hong Cheng, and Lei Zou.
  IEEE International Conference on Data Engineering (ICDE), April 2018.

Demo papers

• Cquirrel: Continuous Query Processing over Acyclic Relational Schemas.
  Qichen Wang, Chaoqi Zhang, Danish Alsayed, Ke Yi, Bin Wu, Feifei Li, and Chaoqun Zhan.
  International Conference on Very Large Data Bases (VLDB), August 2021. System demonstration.

Selected Awards

• ACM SIGMOD Best Paper Honorable Mention award, 2022, ACM SIGMOD

• RedBird Academic Excellence Award for PhD Student, 2022, HKUST

• Postgraduate Studentship, 2017-2021, HKUST

• Scholarship for Elite Students in Basic Science, 2013-2016, Zhejiang University