The conference will be held on a daily base in the timeslots 07:00-10:00 Pacific Standard Time, which correspond to 10:00-13:00 Eastern Standard Time, 16:00-19:00 Central European Time, 23:00-02:00 China Standard Time.
Talk videos will be posted after each conference day on YouTube.
Chair: Wolfgang Lehner (TU Dresden)Location: Zoom7:00 - 7:15AnyDB: An Architecture-less DBMS for Any WorkloadTiemo Bang (TU Darmstadt)*; Norman May (SAP SE); Ilia Petrov (Reutlingen University); Carsten Binnig (TU Darmstadt)
7:15 - 7:30VergeDB: A Database for IoT Analytics on Edge DevicesJohn Paparrizos (University of Chicago)*; Chunwei Liu (University of Chicago); Bruno Barbarioli (University of Chicago); Johnny Hwang (University of Chicago); Ikraduya Edian (Bandung Institute of Technology); Aaron J Elmore (University of Chicago); Michael Franklin (University of Chicago); Sanjay Krishnan (U Chicago)
7:30 - 7:45Boxer: Data Analytics on Network-enabled Serverless PlatformsMichal Wawrzoniak (ETHZ)*; Ingo Müller (ETH Zürich); Gustavo Alonso (ETHZ); Rodrigo Bruno (Oracle Labs)
7:45 - 7:55Sponsor TalkDatabricks
Chair: Peter Triantafillou (University of Warwick)Location: Zoom8:00 - 8:15Bootleg: Chasing the Tail with Self-Supervised Named Entity DisambiguationLaurel Orr (Stanford University)*; Megan Leszczynski (Stanford University); Neel Guha (Stanford University); Sen Wu (Stanford University); Simran Arora (Stanford University); Xiao Ling (); Christopher Re (Stanford University)
8:15 - 8:30Semi-Supervised Data Cleaning with Raha and BaranMohammad Mahdavi (TU Berlin)*; Ziawasch Abedjan (Leibniz Universität Hannover)
8:30 - 8:45Learned Approximate Query Processing: Make it Light, Accurate and Fast
Qingzhi Ma (University of Warwick)*; Ali Mohammadi Shanghooshabad (University of Warwick); Mehrdad Almasi (University of Warwick); Meghdad Kurmanji (University of Warwick); Peter Triantafillou (University of Warwick)
8:50 - 9:00BREAK
Chair: Jignesh Patel (University Wisconsin)Location: Zoom7:00 - 7:15The Case for Distance-Bounded Spatial ApproximationsEleni Tzirita Zacharatou (TU Berlin)*; Andreas Kipf (MIT); Ibrahim Sabek (MIT); Varun Pandey (Technical University of Munich); Harish Doraiswamy (New York University); Volker Markl (Technische Universität Berlin)
7:15 - 7:30Hist-Tree: Those Who Ignore It Are Doomed to LearnAndrew Crotty (Brown University)*
7:30 - 7:45Everything is a Transaction: Unifying Logical Concurrency Control and Physical Data Structure Maintenance in Database Management SystemsLing Zhang (CMU)*; Matthew Butrovich (CMU); Tianyu Li (Massachusetts Institute of Technology); Andrew Pavlo (CMU); Yash Nannapaneni (Rockset); John Rollinson (Army Cyber Institute); Huanchen Zhang (CMU); Ambarish Balakumar (CMU); Daniel Biales (CMU); Ziqi Dong (CMU); Emmanuel J Eppinger (CMU); Jordi E Gonzalez (CMU); Wan Shen Lim (CMU); Jianqiao Liu (CMU); Lin Ma (CMU); Prashanth Menon (Carnegie Mellon Universiy); Soumil Mukherjee (CMU); Tanuj Nayak (CMU); Amadou Ngom (CMU); Dong Niu (CMU); Deepayan Patra (CMU); Poojita Raj (CMU); Stephanie Wang (CMU); Wuwen Wang (CMU); Yao Yu (CMU); William Zhang (CMU)
7:45 - 7:55Sponsor TalkAmazon
Chair: Matthias Boehm (TU Graz)Location: Zoom7:00 - 7:15Cerebro: A Layered Data Platform for Scalable Deep LearningArun Kumar (University of California, San Diego)*; Supun Nakandala (University of California, San Diego); Yuhao Zhang (University of California, San Diego); Side Li (University of California, San Diego); Advitya Gemawat (University of California, San Diego); Kabir Nagrecha (UC San Diego)
7:15 - 7:30Ease.ML: A Lifecycle Management System for Machine LearningLeonel Aguilar Melgar (ETH Zurich); David Dao (ETH Zurich); Shaoduo Gan (ETH Zurich); Nezihe Merve Gürel (ETH Zürich); Nora Hollenstein (ETH Zurich); Jiawei Jiang (ETH Zurich); Bojan Karlaš (ETH Zürich); Thomas Lemmin (ETH Zurich); Tian Li (Carnegie Mellon university); Yang Li (Peking University); Xi Rao (ETH); Johannes Rausch (ETH Zurich); Cedric Renggli (ETH Zurich); Luka Rimanic (ETH Zurich); Maurice G Weber (ETH Zürich); Shuai Zhang (ETH Zurich); Zhikuan Zhao (ETH Zurich); Kevin Schawinski (Modulos AG); Wentao Wu (Microsoft Research); Ce Zhang (ETH)*
7:30 - 7:45Lightweight Inspection of Data Preprocessing in Native Machine Learning PipelinesStefan Grafberger (TU Munich); Julia Stoyanovich (New York University); Sebastian Schelter (University of Amsterdam)*
7:50 - 8:00Break
ML in Databases Chair: Jignesh Patel (University of Wisconsin) Panelists: Tim Kraska (MIT) Umar Farooq Minhas (Microsoft Research) Thomas Neumann (Technische Universität München) Olga Papaemmanouil (Brandeis University) Chris Ré (Stanford University) Michael Stonebraker (MIT)