SIGMOD 2024: Awards
SIGMOD Research Track Best Papers
Best Paper
Implementation Strategies for Views over Property Graphs
Soonbo Han (University of Pennsylvania) and Zack Ives (University of Pennsylvania)
Honorable Mentions
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Reservoir Sampling over Joins
Binyang DAI (Hong Kong University of Science and Technology), Xiao Hu (University of Waterloo), and Ke Yi (Hong Kong University of Science and Technology)
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On The Reasonable Effectiveness of Relational Diagrams: Explaining Relational Query Patterns and the Pattern Expressiveness of Relational Languages
Wolfgang Gatterbauer (Northeastern University) and Cody Dunne (Northeastern University)
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SAGA: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications
Shafaq Siddiqi (Graz University of Technology), Roman Kern (Graz University of Technology), and Matthias Boehm (Technische Universität Berlin)
Best paper award selection committee: Ashraf Aboulnaga, Gautam Das, Jignesh Patel, Sudeepa Roy
SIGMOD Industry Track Best Paper
PolarDB-MP: A Multi-Primary Cloud-Native Database via Disaggregated Shared Memory
Xinjun Yang (Alibaba Group), Yingqiang Zhang (Alibaba Group), Hao Chen (Alibaba Group), Feifei Li (Alibaba Group), Bo Wang (Alibaba Group), Jing Fang (Alibaba Group), Chuan Sun (Alibaba Group), Yuhui Wang (Alibaba Group)
SIGMOD Research Highlight Award
From conferences held in 2023:
- Consent Management in Data Workflows: A Graph Problem. Dorota Filipczuk, Enrico H. Gerding, George Konstantinidis
- Better Differentially Private Approximate Histograms and Heavy Hitters using the Misra-Gries Sketch. Christian Janos Lebeda, Jakub Tetek
- Allocating Isolation Levels to Transactions in a Multiversion Setting. Brecht Vandevoort, Bas Ketsman, Frank Neven
- Extremal Fitting Problems for Conjunctive Queries. Balder Ten Cate, Victor Dalmau, Maurice Funk, Carsten Lutz
- Free Join: Unifying Worst-Case Optimal and Traditional Joins. Yisu Remy Wang, Max Willsey, Dan Suciu
- LAQy: Efficient & Reusable Query Approximations via Lazy Sampling. Viktor Sanca, Periklis Chrysogelos, Anastasia Ailamaki
- Unicorn: A Unified Multi-tasking Model for Supporting Matching Tasks in Data Integration. Jianhong Tu, Ju Fan, Nan Tang, Peng Wang, Guoliang Li Xiaoyong Du, Xiaofeng Jia, Song Gao
- Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy. Lucas Rosenblatt, Bernease Herman, Anastasia Holovenko, Wonkwon Lee, Joshua Loftus, Elizabeth McKinnie, Taras Rumezhak, Andrii Stadnik, Bill Howe, Julia Stoyanovich Xiaoyong Du, Xiaofeng Jia, Song Gao
- Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples. Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri
- DBSP: Automatic Incremental View Maintenance for Rich Query Languages. Mihai Budiu, Tej Chajed, Frank McSherry, Leonid Ryzhyk, Val Tannen
Research highlight award selection committee: Angela Bonifati, Rada Chirkova, Alfons Kemper, Sam Madden, Ken Ross (chair), Yufei Tao
SIGMOD Research Track Best Papers
For a SIGMOD 2023 paper:
Best Artifact
InfiniFilter: Expanding Filters to Infinity and Beyond
Niv Dayan, Ioana Bercea, Pedro Reviriego, and Rasmus Pagh
Honorable Mentions
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DeltaBoost: Gradient Boosting Decision Trees with Efficient Machine Unlearning
Zhaomin Wu, Junhui Zhu, Qinbin Li, and Bingsheng He
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A Step Toward Deep Online Aggregation
Nikhil Sheoran, Supawit Chockchowwat, Arav Chheda, Suwen Wang, Riya Verma, and Yongjoo Park
Best paper award selection committee: Ashraf Aboulnaga, Gautam Das, Jignesh Patel, Sudeepa Roy
SIGMOD Programming Contest
Winner
Alaya: Long Xiang (Southern University of Science and Technology), Bowen Zeng (Zhejiang University) Yu Lei (Zhejiang University) Yujun He (Southern University of Science and Technology) Weijian Chen (Southern University of Science and Technology) Yitao Zheng (Southern University of Science and Technology) Yanqi Chen (Southern University of Science and Technology)
Runner-Up
Wahaha: Jie-Feng Wang (Xiamen University).
Jim Gray Doctoral Dissertation Award
Winner
Daniel Kang (UIUC) Efficient and accurate systems for querying unstructured data
Runner-Ups
- Wei Dong (Carnegie Mellon University) Query Evaluation under Differential Privacy
- Jialin Ding (Massachussets Institute of Technology) Instance-Optimized Database Indexes and Storage Layouts
- Yisu Remy Wang (University of Californa at Los Angeles) Relational Programming
Dissertation award selection committee: Gustavo Alonso (chair), Evaggelia Pitoura (vice chair), Huanchen Zhang, Supun Nakandala, Xiaofang Zhou, Fatma Ozcan, Angela Bonifati, Zsolt István.
SIGMOD Systems Award
Apache SINGA: A Distributed Deep Learning System.
For the development of a distributed, efficient, scalable, and easy-to-use deep learning platform for large scale data analytics.
Contributors: Zhaojing Luo, Beng Chin Ooi, Wei Wang, Meihui Zhang, Qingchao Cai, Shaofeng Cai, Gang Chen, Tien Tuan Anh Dinh, Jinyang Gao, Qian Lin, Shicong Lin, Kee Yuan Ngiam, Gene Yan Ooi, Moaz Reyad, Kian-Lee Tan, Anthony K. H. Tung, Sheng Wang, Yuncheng Wu, Zhongle Xie, Naili Xing, Rulin Xing, Wanqi Xue, Sai Ho Yeung, James Yip, Lingze Zeng, Zhaoqi Zhang, Kaiping Zheng, Lei Zhu, Ji Wang.
SIGMOD Contributions Award
Sihem Amer-Yahia (CNRS, Univ. Grenoble Alpes): for her contributions towards diversity, equity, and inclusion in the professional database research community.
Sihem Amer-Yahia is a 2020 Silver Medal CNRS Research Director and Deputy Director of the Lab of Informatics of Grenoble in France. She works on exploratory data analysis and algorithmic upskilling. Sihem was Principal Scientist at QCRI, Senior Scientist at Yahoo! Research and Member of Technical Staff at AT&T Labs. She served as PC chair for SIGMOD 2023 and as the coordinator of the Diversity, Equity and Inclusion initiative for the database community from 2021 to 2023. Sihem received the 2024 IEEE TCDE Impact Award for contributions to laying the interdisciplinary data engineering foundations of social computing and crowdsourcing.
SIGMOD Test-of-Time Award
PrivBayes: Private Data Release via Bayesian Networks
Jun Zhang, Graham Cormode, Cecilia M. Procopiuc, Divesh Srivastava, Xiaokui Xiao
For the paper from the SIGMOD proceedings 10-12 years prior that has had the most impact over the intervening decade. In particular, this paper had a widespread impact in the area of synthetic data generation, in the data management community and beyond.
Edgar F Codd Innovations Award
Samuel Madden (MIT): for his wide ranging contributions to multiple aspects of data management, including column- oriented database systems, high performance transaction processing, and systems for mobile and sensor data.
Samuel Madden is a College of Computing Distinguished Professor of Computing at MIT. His research projects include learned database systems, the C-Store column-oriented database system, and the CarTel mobile sensor network system. Madden heads the Data Systems Group at MIT and the Data Science and AI Lab (DSAIL), an industry supported collaboration focused on developing systems that use AI and machine learning. Madden was named one of Technology Review's Top 35 Under 35 in 2005 and an ACM Fellow in 2020, and is the recipient of several awards, including an NSF CAREER award, a Sloan Foundation Fellowship, and "test of time" awards from VLDB, SIGMOD, SIGMOBILE, and SenSys. His work has had significant industrial impact, particularly through startups, including as a co-founder of Vertica Inc., and as the co-founder and Chief Scientist at Cambridge Mobile Telematics, which develops technology used by millions of people to make roads safer and drivers better.
SIGMOD Distinguished AEs
- Ashraf Aboulnaga (Univ. of Texas, Arlington)
- Carsten Binnig (TU Darmstadt)
- Wolfgang Gatterbauer (Northeastern University)
- Arun Kumar (Univ. of California, San Diego)
- Volker Markl (Technische Universität Berlin)
- Kyriakos Mouratidis (Singapore Management University)
- Jignesh Patel (Carnegie Mellon University)
- Sudeepa Roy (Duke University)
- Kian-Lee Tan (National University of Singapore)
SIGMOD Distinguished PCs
- Manos Athanassoulis (Boston University, USA)
- Matthias Boehm (Technische Universität Berlin)
- Niv Dayan (University of Toronto)
- Anna Fariha (University of Utah)
- Melanie Herschel (Universität Stuttgart)
- Aidan Hogan (Universidad de Chile, Chile)
- Bettina Kemme (McGill University)
- Arijit Khan (Aalborg University)
- Amr Magdy (University of California Riverside)
- Nikos Mamoulis (University of Ioannina)
- Ioana Manolescu (Inria and Institut Polytechnique de Paris)
- Michael Mathioudakis (University of Helsinki)
- Sharad Mehrotra (U.C. Irvine)
- Tilmann Rabl (HPI, University of Potsdam)
- Kexin Rong (Georgia Institute of Technology)
- Marco Serafini (University of Massachusetts Amherst)
- Kyuseok Shim (Seoul National University)
- Sandeep Tata (Google)
- Matthias Weidlich (Humboldt-Universität zu Berlin)
- Yuhao Zhang (Databricks)
- Andreas Züfle (Emory University)
SIGMOD Best Demonstration Award
Best Demo
Demonstrating CAESURA: Language Models as Multi-Modal Query Planners Matthias Urban (Technical University of Darmstadt); Carsten Binnig (TU Darmstad)
Runner-Ups
- Demonstration of Udon: Line-by-line Debugging of User-Defined Functions in Data Workflows Yicong Huang (UC Irvine); Zuozhi Wang (UC Irvine); Chen Li (UC Irvine)
- 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)
