Yuan Qiu 邱远

Professor, School of Cyber Science and Engineering, Southeast University

Yuan Qiu is a Young Chief Professor (青年首席教授) in the School of Cyber Science and Engineering at Southeast University (SEU), Nanjing, China. Prior to joining SEU in 2025, he was a research fellow hosted by Prof. Xiaokui Xiao from the School of Computing at the National University of Singapore (NUS) and Prof. Bogdan Cautis from the French National Centre for Scientific Research (CNRS@CREATE) at Singapore. He also worked as a Big Data Engineer for Volcano Engine of ByteDance in Hangzhou, China.

Yuan obtained his Ph.D. (2022) and M.Phil. (2019) degrees in Computer Science and Engineering from the Hong Kong University of Science and Technology (HKUST), both under the supervision of Prof. Ke Yi. During undergraduate, he double majored in Mathematics and Economics, and in Computer Science. He obtained his B.Sc. (2017) degree with First Class Honors from HKUST.

Yuan's research is devoted to designing practical-and-rigorous algorithms for Database Systems (DB) and Private Query Processing (S&P). He likes working with well-defined problems that have provable lower and upper bounds through non-trivial analysis. His research interests include: database theory and systems; data security and privacy; data sketching and sampling; data streams; data structures.

Publications

Work Experience

  • Young Chief Professor, SEU, Nanjing, China. September 2025 - Present
    • Differential Privacy, Sampling, Differential Oblivious
  • Research Fellow, SoC@NUS & CNRS@CREATE, Singapore. July 2024 - July 2025
  • Postdoctoral Fellow, HKUST, Hong Kong SAR, China. January 2024 - June 2024
    • Hosted by: Prof. Ke Yi
    • Differential Privacy, Federated Learning, Secure Multiparty Computation
  • Big Data Engineer, ByteDance, Hangzhou, China. September 2022 - September 2023
    • Query Optimization, Distributed Databases, Workload Analysis
  • Intern Engineer, Alibaba Group, Hangzhou, China. April 2021 - August 2021
    • Query Optimization, AI4DB, Data Sketching
  • Intern Engineer, Alibaba Group, Hangzhou, China. January 2019 - May 2019
    • Query Optimization, Data Sketching, Approximate Query Processing

Teaching Experience

  • Teaching Assistant for COMP 3711H, Honors Design and Analysis of Algorithms, Undergraduate level, HKUST. Fall 2017, Spring 2018, Fall 2018
  • Teaching Assistant for MSBD 5003, Big Data Computing, Graduate Level, HKUST. Fall 2019, Fall 2020
  • Teaching Assistant for COMP 2711, Discrete Mathematical Tools for Computer Science, Undergraduate Level, HKUST. Spring 2022
  • Teaching Assistant for Information Systems and Big Data, SZ-HK Collaborative Innovation Research Institute, HKUST. Summer 2022
  • Teaching Assistant for Basics of Cloud Computing and Big Data, SZ-HK Collaborative Innovation Research Institute, HKUST. February 2022
  • Teaching Assistant for Big Data Computing with Hadoop and Spark, Harbour Education. Summer 2021
  • Math Tutor, Math Department, HKUST. Fall 2015

Talks

  1. Query Processing under Differential Privacy, IEEE CRESS 2025. [Slides] Nanjing, China