Duke Computer Science Wins Best Paper and Test-of-Time Awards at SIGMOD PODS 2022

Duke Computer Science Associate Professor Ashwin Machanavajjhala and PhD student Yuchao Tao, together with their collaborators at HKUST (including Duke CS PhD graduate Ke Yi), won the Best Paper Award in Data Management at SIGMOD 2022. Professor Pankaj Agarwal and collaborators won Test-of-Time PODS Paper Award for Mergeable Summaries. Duke Computer Science faculty and PhD students presented seven (7) research papers at the conference.

SIGMOD PODS is a prestigious annual ACM international forum on databases for researchers, practitioners, developers, and users to explore and exchange cutting-edge ideas, research, techniques, and tools.

Best Paper Award in Data Management

• R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys Wei DONG (Hong Kong University of Science and Technology, Hong Kong); Juanru FANG (HKUST); Ke Yi (Hong Kong Univ. of Science and Technology and Duke grad)*; Yuchao Tao (Duke University); Ashwin Machanavajjhala (Duke).
  

PODS (Principles of Data Management) Test-of-Time Paper Award

• Mergeable Summaries Pankaj K. Agarwal (Duke University), Graham Cormode (University of Warwick), Zengfeng Huang (Fudan University), Jeff M. Phillips (University of Utah), Zhewei Wei (Renmin University of China), Ke Yi (Hong Kong University of Science and Technology)

Additional Duke CS Research Papers Presented at SIGMOD 2022

• Computing Complex Temporal Join Queries Efficiently Xiao Hu (Duke University)*; Stavros Sintos (University of Chicago); Junyang Gao (Google); Pankaj K Agarwal (Duke University); Jun Yang (Duke University).
  
• Selectivity Functions of Range Queries are Learnable  Xiao Hu (Duke University)*; Yuxi Liu (Duke University); Haibo Xiu (Duke University); Pankaj K Agarwal (Duke University); Debmalya Panigrahi (Duke University); Sudeepa Roy (Duke University, USA); Jun Yang (Duke University).
  
• Understanding Queries by Conditional Instances  Amir Gilad (Duke University)*; Zhengjie Miao (Duke University); Sudeepa Roy (Duke University, USA); Jun Yang (Duke University).
  
• IncShrink: Architecting Efficient Outsourced Databases using Incremental MPC and Differential Privacy  Chenghong Wang (Duke University)*; Johes Bater (Duke University); Kartik Nayak (DUKE UNIVERSITY); Ashwin Machanavajjhala (Duke).
  
• HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach  Sainyam Galhotra (University of Chicago); Amir Gilad (Duke University)*; Sudeepa Roy (Duke University, USA); Babak Salimi (University of California at San Diego).