VLDB 2023: Awards

Conference Awards

Best Research Papers

Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples Peng Li (Georgia Institute of Technology); Yeye He (Microsoft Research); Cong Yan (Microsoft Research); Yue Wang (Microsoft Research); Surajit Chaudhuri (Microsoft Research)
DBSP: Automatic Incremental View Maintenance for Rich Query Languages Mihai Budiu (VMware Research); Tej Chajed (VMware Research); Frank McSherry (Materialize); Leonid Ryzhyk (VMware Research); Val Tannen (University of Pennsylvania)

Best Research Paper Runner-up

PIM-tree: A Skew-resistant Index for Processing-in-Memory Hongbo Kang (Tsinghua University); Yiwei Zhao (Carnegie Mellon University); Guy E Blelloch (Carnegie Mellon University); Laxman Dhulipala (University of Maryland, College Park); Yan Gu (UC Riverside); Charles McGuffey (Reed University); Phillip B Gibbons (CMU)

Best Experiment, Analysis, & Benchmark Paper

The LDBC Social Network Benchmark: Business Intelligence Workload Gabor Szarnyas (CWI); Jack Waudby (Newcastle University); Ben Steer (pometry); David Szakallas (LDBC); Altan Birler (TUM); Mingxi Wu (Tigergraph); Yuchen Zhang (TigerGraph); Peter Boncz (CWI)

Best Experiment, Analysis, & Benchmark Paper Runner-ups

Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy Lucas Rosenblatt (New York University); Bernease Herman (University of Washington); Anastasia Holovenko (Ukrainian Catholic University); Wonkwon Lee (New York University); Joshua Loftus (London School of Economics); Elizabeth McKinnie (Microsoft); Taras Rumezhak (Ukrainian Catholic University); Andrii Stadnik (Ukrainian Catholic University); Bill G Howe (University of Washington); Julia Stoyanovich (New York University)
A Deep Dive into Common Open Formats for Analytical DBMSs Chunwei Liu (MIT); Anna Pavlenko (Microsoft Gray Systems Lab); Matteo Interlandi (Microsoft); Brandon Haynes (Microsoft Gray Systems Lab)

Best Industry Paper:

Kora: A Cloud-Native Event Streaming Platform For Kafka Anna Povzner (Confluent Inc.); Prince Mahajan (Confluent Inc); Jason Gustafson (Confluent Inc.); Kamal Gupta (Confluent Inc.); Jun Rao (Confluent Inc. ); Ismael Juma (Confluent Inc.); Feng Min (Confluent); Shriram Sridharan (Confluent Inc.); Nikhil Bhatia (Confluent Inc.); Gopi Attaluri (Confluent Inc.); Adithya Chandra (Confluent Inc.); Stanislav Kozlovski (Confluent Inc.); Rajini Sivaram (Confluent Inc.); Lucas Bradstreet (Confluent Inc.); Bob Barrett (Confluent Inc.); Dhruvil Shah (Confluent Inc.); David Jacot (Confluent Inc.); David Arthur (Confluent Inc.); Manveer Chawla (Confluent Inc.); Ron Dagostino (Confluent Inc.); Colin McCabe (Confluent Inc.); Manikumar Reddy Obili (Confluent Inc.); Kowshik Prakasam (Confluent Inc.); Jose Garcia Sancio (Confluent Inc.); Vikas Singh ( Confluent Inc.); Alok Nikhil (Confluent Inc.)

Best Industry Runner Ups:

PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel Yanli Zhao (Meta Inc.); Andrew Gu (Meta); Rohan Varma (Meta); Liang Luo (Meta Inc); Chien-Chin Huang (Meta Platforms, Inc.); Min Xu (Meta Platforms, Inc.); Less Wright (Meta Platforms, Inc.); Hamid Shojanazeri (Meta Platforms, Inc.); Myle Ott (Facebook); Sam Shleifer (Stanford University); Alban Desmaison (Meta); Can Balioglu (Meta Platforms, Inc.); Pritam H Damania (Meta Platforms); Bernard Nguyen (Meta Platforms, Inc.); Geeta Chauhan ( Meta Platforms, Inc.); Yuchen Hao (Meta Platforms, Inc.); Shen Li (Meta)
FEBench: A Benchmark for Real-Time Relational Data Feature Extraction Xuanhe Zhou (Tsinghua); Cheng Chen (4Paradigm); Kunyi Li (Tsinghua); Bingsheng He (National University of Singapore); mian lu (4Paradigm Inc.)*; Qiaosheng Liu (4Paradigm); Wei Huang (4Paradigm); Guoliang Li (Tsinghua University); zhao zheng (4Paradigm Inc.); Yuqiang Chen (4th Paradigm)

Best Demo:

On-the-fly Data Transformation in Action Ju Hyoung Mun (Boston University)*; Konstantinos Karatsenidis (Boston University); Tarikul Islam Papon (Boston University); Shahin Roozkhosh (Boston University); Denis Hoornaert (Technical University of Munich); Ahmed Sanaullah (Red Hat); Ulrich Drepper (Red Hat); Renato Mancuso (Boston University); Manos Athanassoulis (Boston University)

Best Demo Honorable Mentions:

Showcasing Data Management Challenges for Future IoT Applications with NebulaStream. Aljoscha P Lepping (TU Berlin)*; Hoang Mi Pham (Technische Universität Berlin); Laura Mons (DIMA); Balint Rueb (TU Berlin); Ankit Chaudhary (Technische Universität Berlin); Philipp M Grulich (Technische Universität Berlin); Steffen Zeuch (DFKI Berlin); Volker Markl (Technische Universität Berlin)
ERICA: Query Refinement for Diversity Constraint Satisfaction, Honorable Mention. Jinyang Li (University of Michigan)*; Alon Silberstein (Ben Gurion University); Yuval Moskovitch (Ben Gurion University); Julia Stoyanovich (New York University); H. V. Jagadish (University of Michigan)

Distinguished Associate Editors

Gustavo Alonso (ETHZ)
Zhifeng Bao (RMIT University)
Angela Bonifati (Univ. of Lyon)
Magdalena Balazinska (University of Washington)
Yi Chen (NJIT)
Khuzaima Daudjee (University of Waterloo)
Wolfgang Gatterbauer (Northeastern University)
Boris Glavic (Illinois Institute of Technology)
Eric Lo (Chinese University of Hong Kong)
Dan Olteanu (University of Zurich)
Rachel Pottinger (Univ. of British Columbia)
Yanyan Shen (Shanghai Jiao Tong University)
Alkis Simitsis (Athena Research Center)
Letizia Tanca (Politecnico di Milano)
Nesime Tatbul (Intel Labs and MIT)
Yongxin Tong (Beihang University)

Distinguished Reviewers

Michael Abebe (University of Waterloo)
Daichi Amagata (Osaka University)
Michael Böhlen (University of Zurich)
Sourav Bowmick (Nanyang Technological University)
Lei Chen (HKUST)
Fei Chiang (McMaster University)
Graham Cormode (University of Warwick)
Brad Glasbergen (University of Waterloo)
Vasiliki Kalavri (Boston University)
Oliver Kennedy (University at Buffalo, SUNY)
Lucas Lerch (TU Dresden)
John Liagouris (Boston University)
Matteo Lissandrini (Aalborg University)
Yao Lu (Microsoft Research)
Michael Mathioudakis (University of Helsinki)
Alexandra Meliou (University of Massachusetts Amherst)
Joseph Near (University of Vermont)
Stefano Paraboschi (Universita' degli Studi di Bergamo)
Paolo Papotti (EURECOM)
Kunsoo Park (Seoul National University)
Guna Prasaad (Meta Platforms Inc.)
Ryan Stutsman (University of Utah)
Yufei Tao (The Chinese University of Hong Kong)
Jens Teubner (TU Dortmund University)
Cristian Riveros (PUC Chile)
Kexin Rong (Georgia Institute of Technology)
Senjuti Basu Roy (New Jersey Institute of Technology)
Panos Vassiliadis (University of Ioannina)
Tianzheng Wang (Simon Fraser University)
Wendy Hui Wang (Stevens Institute of Technology)
Matthias Weidlich (Humboldt-Universitat zu Berlin)
Steven Whang (KAIST)
Xiangyao Yu (University of Wisconsin-Madison)
Zhuoyue Zhao (University at Buffalo)

VLDB ENDOWMENT AWARDS

2023 VLDB Early Career Research Contribution Award

Alvin Cheung (UC Berkeley)

2023 VLDB Women in Database Research Award

Xin Luna Dong (Meta)

2023 VLDB Test of Time Award

Distributed Graphlab: A framework for machine learning in the cloud. Yucheng Low, Joseph Gonzalez (UC Berkeley), Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein (UC Berkeley). VLDB 2012