Sanjay Krishnan
Scholar

Sanjay Krishnan

Google Scholar ID: Yxh9WWoAAAAJ
University of Chicago
DatabasesMachine Learning
Citations & Impact
All-time
Citations
4,616
 
H-index
32
 
i10-index
64
 
Publications
20
 
Co-authors
13
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Published 'How Large Language Models Will Disrupt Data Management' at VLDB 2023
  • Published 'Data Makes Better Data Scientists' at HILDA@SIGMOD 2023
  • Co-authored 'Sociome Data Commons' in J Clin Transl Sci. 2023
  • Published 'Declarative data serving: the future of machine learning inference on the edge' at VLDB 2021
  • Published 'HIRE: Hierarchical Residual Encoding for Multiresolution Compression in Time-Series Data' at SIGMOD 2023
  • Published 'Rotary: A Resource Arbitration Framework for Progressive Iterative Analytics' at ICDE 2023
  • Published 'Combining Sampling and Aggregation (Nearly) Optimally' at SIGMOD 2021
  • Published 'VergeDB: A Database for IoT Analytics on Edge Devices' at CIDR 2021
  • Published 'Fast and Reliable Missing Data Contingency Analysis with Predicate-Constraints' at SIGMOD 2020
  • Published 'Deep Unsupervised Cardinality Estimation' at VLDB 2020
  • Published 'AMIR: Active Multimodal Interaction Recognition from Video and Network Traffic in Connected Environment' at Ubicomp 2023
  • Published 'JanusAQP: Efficient Partition Tree Maintenance for Dynamic Approximate Query Processing' at ICDE 2023
  • Published 'Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow' at VLDB 2022
  • Published 'Version Reconciliation for Collaborative Databases' at SoCC 2021
  • Published 'Communication-efficient distributed dual coordinate ascent' at NeurIPS 2014