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)