ACM SIGMOD Seattle, USA, 2023
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SIGMOD 2023: Accepted Demo Papers

  • Proactively Screening Machine Learning Pipelines with ArgusEyes
    Sebastian Schelter (University of Amsterdam)*; Stefan Grafberger (University of Amsterdam); Shubha Guha (University of Amsterdam); Bojan Karlaš (Harvard University); Ce Zhang (ETH)
  • Dike: A Benchmark Suite for Distributed Transactional Databases
    Huidong Zhang (East China Normal University); Luyi Qu (East China Normal University); Qingshuai Wang (East China Normal University); Rong Zhang (East China Normal University)*; Peng Cai (East China Normal University); Quanqing Xu (OceanBase); Zhifeng Yang (OceanBase); Chuanhui Yang (OceanBase)
  • PyNKDV: An Efficient Network Kernel Density Visualization Library for Geospatial Analytic Systems
    Tsz Nam Chan (Hong Kong Baptist University)*; Rui Zang (Hong Kong Baptist University); Pak Lon Ip (University of Macau); Leong Hou U (University of Macau); Jianliang Xu (Hong Kong Baptist University)
  • BCNF* - From Normalized- to Star-Schemas and Back Again
    Youri Kaminsky (Hasso Plattner Institute)*; Felix Naumann (Hasso Plattner Institute, University of Potsdam); Marie Fischer (Hasso Plattner Institute); Gerd Paul Roessler (Hasso Plattner Institute); Paul Sieben (Hasso Plattner Institute); Janina Adamcic (Hasso Plattner Institute); Tobias Straeubig (Hasso Plattner Institute); Christoph Kirchherr (Hasso Plattner Institute)
  • ARENA: Alternative Relational Query Plan Exploration for Database Education
    Hu Wang (Xidian University); Hui Li (Xidian University); Sourav S Bhowmick (Nanyang Technological University)*; Baochao Xu (Xidian University)
  • Pay “Attention” to Chart Images for What You Read on Text
    Chenyu Yang (Renmin University of China); Ruixue Fan (Renmin University of China); Nan Tang (Qatar Computing Research Institute, HBKU); Meihui Zhang (Beijing Institute of Technology); Xiaoman Zhao (Renmin University of China); Ju Fan (Renmin University of China)*; Xiaoyong Du (Renmin University of China)
  • SparkSQL+: Next-generation Query Planning over Spark
    Binyang DAI (Hong Kong University of Science and Technology); Qichen Wang (Hong Kong Baptist University)*; Ke Yi (Hong Kong University of Science and Technology)
  • Demonstrating MATE and COCOA for Data Discovery
    Jannis Becktepe (Leibniz Universität Hannover)*; Mahdi Esmailoghli (Leibniz Universität Hannover); Maximilian Koch (Leibniz Universität Hannover); Ziawasch Abedjan (Leibniz Universität Hannover)
  • Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts
    Fotios Psallidas (Microsoft)*; Megan Leszczynski (Stanford University); Mohammad Hossein Namaki (Microsoft); Avrilia Floratou (Microsoft); Ashvin Agrawal (Microsoft); Konstantinos Karanasos (Meta); Subru Krishnan (Microsoft); Pavle Subotic (Microsoft); Markus Weimer (Microsoft); Yinghui Wu (Case Western Reserve University); Yiwen Zhu (Microsoft)
  • SCAD: A Scalability Advisor for Interactive Microservices on Hybrid Clouds
    Ka-Ho Chow (Georgia Institute of Technology)*; Umesh Deshpande (IBM Research - Almaden); Veera Deenadhayalan (IBM Research - Almaden); Sangeetha Seshadri (IBM Research - Almaden); Ling Liu (Georgia Institute of Technology)
  • Acheron: Persisting Tombstones in LSM Engines
    Zichen Zhu (Boston University)*; Subhadeep Sarkar (Boston University); Manos Athanassoulis (Boston University)
  • SMILE: A Cost-Effective System for Serving Massive Pretrained Language Models in the Cloud
    Jue WANG (Zhejiang University); Ke Chen (Zhejiang University); Lidan Shou (Zhejiang University)*; Dawei Jiang (Zhejiang University); Gang Chen (Zhejiang University)
  • Demonstrating NaturalMiner: Searching Large Data Sets for Abstract Patterns Described in Natural Language
    Immanuel Trummer (Cornell University)*
  • Characterizing and Verifying Queries Via CInsGen
    Hanze Meng (Duke University); Zhengjie Miao (Duke University)*; Amir Gilad (Duke University); Sudeepa Roy (Duke University, USA); Jun Yang (Duke University)
  • CoWrangler: Recommender System for Data-Wrangling Scripts
    Bhavya Chopra (Microsoft)*; Anna Fariha (Microsoft); Sumit Gulwani (Microsoft Research); Austin Z Henley (Microsoft); Daniel Perelman (Microsoft); Mohammad Raza (Microsoft); Sherry Y Shi (Microsoft); Danny Simmons (Microsoft); Ashish Tiwari (Microsoft)
  • SHACTOR: Improving the Quality of Large-Scale Knowledge Graphs with Validating Shapes
    Kashif Rabbani (Aalborg University Denmark)*; Matteo Lissandrini (Aalborg University); Katja Hose (Aalborg University)
  • Fast Natural Language Based Data Exploration with Samples
    Shubham Agarwal (Adobe); Gromit Yeuk-Yin Chan (Adobe Research); Shaddy Garg (Adobe Research); Tong Yu (Adobe Research); Subrata Mitra (Adobe Research)*
  • Dexer: Detecting and Explaining Biased Representation in Ranking
    Yuval Moskovitch (Ben Gurion University)*; Jinyang Li (University of Michigan); H. V. Jagadish (University of Michigan)
  • TeeBench: Seamless Benchmarking in Trusted Execution Environments
    Kajetan Maliszewski (TU Berlin)*; Tilman Dietzel (TU Berlin); Jorge Arnulfo Quiané Ruiz (IT University of Copenhagen); Volker Markl (Technische Universität Berlin)
  • ATENA-PRO: Generating Personalized Exploration Notebooks with Constrained Reinforcement Learning
    Amit Somech (Bar-Ilan University)*; Tavor Lipman (Tel Aviv Univeristy); Tova Milo (Tel Aviv University)
  • NEXUS: On Explaining Confounding Bias
    Brit Youngmann (MIT)*; Michael Cafarella (MIT CSAIL); Yuval Moskovitch (Ben Gurion University); Babak Salimi (University of California at San Diego)
  • Aggregation and Exploration of High-Dimensional Data Using the Sudokube Data Cube Engine
    Sachin Basil John (EPFL)*; Peter Lindner (EPFL); Zhekai Jiang (McGill University); Christoph Koch ("EPFL, Switzerland")
  • Demonstration of ThalamusDB: Answering Complex SQL Queries with Natural Language Predicates on Multi-Modal Data
    Saehan Jo (Cornell University)*; Immanuel Trummer (Cornell)
  • SmokedDuck Demonstration: SQLStepper
    Haneen Mohammed (Columbia University)*; Charlie G Summers (Columbia University); Sughosh V Kaushik (Columbia University); Eugene Wu (Columbia University)
  • DIALITE: Discover, Align and Integrate Open Data Tables
    Aamod Khatiwada (Northeastern University)*; Roee Shraga (Northeastern University); Renée J. Miller (Northeastern University)
  • A Demonstration of KAMEL: A Scalable BERT-based System for Trajectory Imputation
    Mashaal Musleh (University of Minnesota)*; Mohamed Mokbel (University of Minnesota - Twin Cities)
  • A Demonstration of GeoTorchAI: A Spatiotemporal Deep Learning Framework
    Kanchan Chowdhury (Arizona State University)*; Mohamed Sarwat (Wherobots Inc.)
  • Efficient Query Processing in Python Using Compilation
    Hesam Shahrokhi (University of Edinburgh); Callum Groeger (University of Edinburgh); Yizhuo Yang (University of Edinburgh); Amir Shaikhha (University of Edinburgh)*

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