Qin Zhang
Scholar

Qin Zhang

Google Scholar ID: VzESVx0AAAAJ
Indiana University Bloomington
Algorithms for Big DataTheoretical Machine LearningQuantum Data Management
Citations & Impact
All-time
Citations
1,296
 
H-index
21
 
i10-index
36
 
Publications
20
 
Co-authors
34
list available
Resume (English only)
Academic Achievements
  • Published multiple papers such as 'Quantum Data Sketches' (ICDT 2025) and 'Collaborative Learning with Limited Interaction: Tight Bounds for Distributed Exploration in Multi-Armed Bandits' (FOCS 2019). Served on program committees for various international conferences including SIGMOD 2025, NeurIPS 2025, ICML 2025, etc.
Research Experience
  • Before joining IU, worked at the Theory Group, IBM Almaden Research Center, and the Center for Massive Data Algorithmics, Aarhus University. Current research projects include parallel reinforcement learning, communication-efficient distributed computation and monitoring, efficient distributed computation of large-scale graph problems, and efficient algorithms for querying noisy distributed/streaming datasets.
Education
  • PhD from the Department of Computer Science and Engineering, HKUST.
Background
  • Professor in Computer Science and Adjunct Professor in Mathematics at Indiana University Bloomington. Research interests include algorithms for big data, theoretical foundations of machine learning, and quantum information and computing.
Miscellany
  • Email address updated to qzhangcs@iu.edu. If unable to reach via IU email, try qzhangcs@gmail.com.