SIGMOD Santiago, Chile, 2024

SIGMOD 2024: Accepted Tutorials

Sunday, June 9, 2024

  • Demystifying Data Management for Large Language Models
    Xupeng Miao (Carnegie Mellon University); Zhihao Jia (Carnegie Mellon University); Bin Cui (Peking University)
  • SmartNICs in the Cloud: The Why, What, and How of In-network Processing for Data-Intensive Applications
    Faeze Faghih (Technical University of Darmstadt); Tobias Ziegler (Technical University of Darmstadt); Zsolt István (Systems Group, TU Darmstadt); Carsten Binnig (TU Darmstadt & DFKI)
  • Learned Query Optimizer: What is New and What is Next
    Rong Zhu (Alibaba Group); Lianggui Weng (Alibaba Group); Bolin Ding (Alibaba Group); Jingren Zhou (Alibaba Group)
  • Distributed Transaction Processing in Untrusted Environments
    Mohammad Javad Amiri (Stony Brook University); Divyakant Agrawal (University of California Santa Barbara); Amr El Abbadi (University of California Santa Barbara); Boon Thau Loo (University of Pennsylvania)
  • Responsible Sharing of Spatiotemporal Data
    Raul Castro Fernandez (The University of Chicago); Arnab Nandi (The Ohio State University)
  • Querying Graph Databases at Scale
    Aidan Hogan (DCC, University of Chile); Domagoj Vrgoč (Pontificia Universidad Católica de Chile and IMFD Chile)

Friday, June 14, 2024

  • Cognitive Psychology Meets Data Management: State of the Art and Future Directions
    Sourav S Bhowmick (Nanyang Technological University); S. H. Annabel Chen (Nanyang Technological University); Divesh Srivastava (AT&T Chief Data Office)
  • Vector Database Management Techniques and Systems
    James Jie Pan (Tsinghua University); Jianguo Wang (Purdue University); Guoliang Li (Tsinghua University)
  • An Overview of Continuous Querying in (Modern) Data Systems
    Riccardo Tommasini (LIRIS - INSA de Lyon); Angela Bonifati (Lyon 1 University, CNRS Liris, IUF)
  • SIMDified Data Processing - Foundations, Abstraction, and Advanced Techniques
    Dirk Habich (TU Dresden); Johannes Pietrzyk (TU Dresden)
  • Machine Learning for Databases: Foundations, Paradigms, and Open problems
    Gao Cong (Nanyang Technological University); Jingyi Yang (Nanyang Technological University); Yue Zhao (Nanyang Technological University)
  • Applications and Computation of the Shapley Value in Databases and Machine Learning
    Xuan Luo (Simon Fraser University); Jian Pei (Duke University)
  • Beyond Bloom: A Tutorial on Future Feature-Rich Filters
    Prashant Pandey (University of Utah); Martín Farach-Colton (New York University); Niv Dayan (University of Toronto); Huanchen Zhang (Tsinghua University)

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