SIGMOD Santiago, Chile, 2024

SIGMOD 2024: Accepted Demo Papers

  • CHatPipe: Orchestrating Data Preparation Pipelines by Optimizing Human-ChatGPT Interactions
    Sibei Chen (Renmin University of China); Hanbing Liu (Renmin University of China); Waiting Jin (Renmin University of China); Xiangyu Sun (Renmin University of China); Xiaoyao Feng (Renmin University of China); Ju Fan (Renmin University of China); Xiaoyong Du (Renmin University of China); Nan Tang (Qatar Computing Research Institute, HBKU)
  • ASM in Action: Fast and Practical Learned Cardinality Estimation
    Sangoh Lee (POSTECH); Kyoungmin Kim (EPFL); Wook-Shin Han (POSTECH)
  • SIERRA: A Counterfactual Thinking-based Visual Interface for Property Graph Query Construction.
    Jiebing Ma (Nanyang Technological University); Sourav S Bhowmick (Nanyang Technological University); Lester Tay (Nanyang Technological University); Byron Choi (Hong Kong Baptist University)
  • Multi-Backend Zonal Statistics Execution with Raven
    Gereon Dusella (Technische Universität Berlin); Haralampos Gavriilidis (Technische Universität Berlin); Laert Nuhu (Deutsche Kreditbank AG); Volker Markl (Technische Universität Berlin); Eleni Tzirita Zacharatou (IT University of Copenhagen)
  • Sawmill: From Logs to Causal Diagnosis of Large Systems
    Markos Markakis (Massachusetts Institute of Technology); An Bo Chen (Massachusetts Institute of Technology); Brit Youngmann (Technion - Israel institute of technology); Trinity Gao (MIT); Ziyu Zhang (MIT); Rana Shahout (Harvard); Peter Chen (Massachusetts Institute of Technology); Chunwei Liu (MIT); Ibrahim Sabek (University of Southern California); Michael Cafarella (MIT CSAIL)
  • Demonstrating CAESURA: Language Models as Multi-Modal Query Planners
    Matthias Urban (Technical University of Darmstadt); Carsten Binnig (TU Darmstadt)
  • UniTS: A Universal Time Series Analysis Framework Powered by Self-supervised Representation Learning
    Zhiyu Liang (Harbin Institute of Technology); Chen Liang (Harbin Institute of technology); Zheng Liang (Harbin Institute of Technology); Hongzhi Wang (Harbin Institute of Technology); Bo Zheng (CnosDB Inc.)
  • Building Reactive Large Language Model Pipelines with Motion
    Shreya Shankar (University of California Berkeley); Aditya G Parameswaran (U Illinois)
  • User-friendly, Interactive, and Configurable Explanations for Graph Neural Networks with Graph Views
    Tingyang Chen (Zhejiang University); Dazhuo Qiu (Aalborg University); Yinghui Wu (Case Western Reserve University); Arijit Khan (Aalborg University); Xiangyu Ke (Zhejiang University, China); Yunjun Gao (Zhejiang University)
  • Comquest: Large Scale User Comment Crawling and Integration
    Zhijia Chen (Temple University); Lihong He (IBM Almaden Research Center); Eduard Dragut (Temple Univ.); Arjun Mukherjee (University of Houston)
  • IDE: A System for Iterative Mislabel Detection
    Yuhao Deng (Beijing Institute of Technology); Deng Qiyan (Beijing Institute of Technology); Chengliang Chai (Beijing Institute of Technology); Lei Cao (University of Arizona/MIT); Nan Tang (HKUST (GZ)); Ju Fan (Renmin University of China); Jiayi Wang (Tsinghua University); Ye Yuan ( Beijing Institute of Technology); Guoren Wang (Beijing Institute of Technology)
  • Responsible Model Selection with Virny and VirnyView
    Denys Herasymuk (Ukrainian Catholic University); Falaah Arif Khan (New York University); Julia Stoyanovich (New York University)
  • A Demonstration of GPTuner: A GPT-Based Manual-Reading Database Tuning System
    Jiale Lao (Sichuan University); Yibo Wang (Sichuan University); Yufei Li (Sichuan University); Jianping Wang (Northwest Normal University); Yunjia Zhang (University of Wisconsin-Madison); Zhiyuan Cheng (Purdue University); Wanghu Chen (Northwest Normal University); Yuanchun Zhou (Computer Network Information Center, Chinese Academy of Sciences); Mingjie Tang (Sichuan University); Jianguo Wang (Purdue University)
  • MillenniumDB: A multi-modal, multi-model graph database engine
    Domagoj Vrgoč (PUC); Carlos Rojas (PUC Chile); Renzo Angles (Universidad de Talca); Marcelo Arenas (Universidad Catolica & IMFD Chile); Vicente Calisto (IMFD); Benjamín F. Farías (Pontificia Universidad Catolica); Sebastián Ferrada (IMFD); Tristan Heuer (IMFD); Aidan Hogan (Universidad de Chile, Chile); Gonzalo Navarro (University of Chile); Alexander Pinto (PUC); Juan Reutter (PUC); Henry Rosales (IMFD); Etienne Toussiant (IMFD)
  • ASQP-RL Demo: Learning Approximation Sets for Exploratory Queries
    Susan B Davidson (University of Pennsylvania); Tova Milo (Tel Aviv University); Kathy Razmadze (Tel Aviv University); Gal Zeevi (Tel Aviv University)
  • The Game Of Recourse: Simulating Algorithmic Recourse over Time to Improve Its Reliability and Fairness
    Andrew L Bell (New York University); Joao Fonseca (NOVA Information Management School); Julia Stoyanovich (New York University)
  • OpenIVM: a SQL-to-SQL Compiler for Incremental Computations
    Ilaria Battiston (CWI); Peter Boncz (Centrum Wiskunde & Informatica); Kriti Kathuria (UWaterloo)
  • Property Graph Stream Processing In Action with Seraph
    Riccardo Tommasini (INSA Lyon - LIRIS); Christopher Rost (University of Leipzig); Angela Bonifati (Univ. of Lyon); Emanuele Della Valle (Politecnico di Milano); Erhard Rahm (University of Leipzig); Keith Hare (JCC Consulting, Inc.); Stefan Plantikow (Neo4j); Petra Selmer (Bloomberg LP); Hannes Voigt (Neo4j)
  • PLUTUS: Understanding Data Distribution Tailoring for Machine Learning
    Jiwon Chang (University of Rochester); Christina Dionysio (Technsiche Universität Berlin); Fatemeh Nargesian (University of Rochester); Matthias Boehm (Technische Universität Berlin)
  • Demonstrating REmatch: a novel regex engine for finding all matches
    Kyle Bossonney (Oxford University); Vicente Calisto (PUC Chile); Cristian Riveros (PUC Chile); Gustavo Toro (PUC Chile); Nicolás A Van Sint Jan (PUC); Domagoj Vrgoc (Pontificia Universidad Catolica de Chile)
  • Demonstrating Nexus for Correlation Discovery over Collections of Spatio-Temporal Tabular data
    Yue Gong (The University of Chicago); Raul Castro Fernandez (The University of Chicago)
  • Demonstration of Ver: View Discovery in the Wild
    Kevin Dharmawan (University of Indonesia); Chirag A Kawediya (University of Chicago); Yue Gong (The University of Chicago); Zaki Indra Yudhistira (University of Indonesia); Zhiru Zhu (University of Chicago); Sainyam Galhotra (Cornell University); Adila Krisnadhi; Raul Castro Fernandez (The University of Chicago)
  • QueryShield: Cryptographically Secure Analytics in the Cloud
    Ethan Seow (Boston University); Yan Tong (University of California, Santa Cruz); Eli M Baum (Boston University); Samuel M Buxbaum (Boston University); Muhammad Faisal (Boston University); John Liagouris (Boston University); Vasiliki Kalavri (Boston University); Mayank Varia (Boston University)
  • Demonstrating 𝜆-Tune: Exploiting Large Language Models for Workload-Adaptive Database System Tuning
    Victor Giannakouris (Cornell University); Immanuel Trummer (Cornell University)
  • Demonstration of ElasticNotebook: Migrating Live Computational Notebook States.
    Zhaoheng Li (University of Illinois at Urbana-Champaign); Supawit Chockchowwat (University of Illinois at Urbana-Champaign); Hanxi Fang (University of Illinois at Urbana Champaign); Ribhav Sahu (University of Illinois Urbana-Champaign); Sumay Thakurdesai (University of Illinois at Urbana-Champaign); Kantanat Pridaphatrakun (University of Illinois Urbana-Champaign); Yongjoo Park (University of Illinois at Urbana-Champaign)
  • ShiftScope: Adapting Visualization Recommendations to Users' Dynamic Data Focus
    Sanad Saha (Oregon State University); Nischal Aryal (Oregon State University); Leilani Battle (University of Washington); Arash Termehchy (Oregon State University)
  • IMBridge: Impedance Mismatch Mitigation between Database Engine and Prediction Query Execution
    Chenyang Zhang (East China Normal University); Junxiong Peng (East China Normal University); Chen Xu (East China Normal University); Quanqing Xu (OceanBase, Ant Group ); Chuanhui Yang (OceanBase)
  • RobOpt: A Tool for Robust Workload Optimization Based on Uncertainty-Aware Machine Learning
    Amin Kamali (University of Ottawa); Verena Kantere (National Technical University of Athens); Calisto Zuzarte (IBM); Vincent Corvinelli (IBM)
  • Demonstration of Udon: Line-by-line Debugging of User-Defined Functions in Data Workflows
    Yicong Huang (UC Irvine); Zuozhi Wang (U C Irvine); Chen Li (UC Irvine)

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