VLDB 2022: Poster Sessions


Session A

DBOS: A DBMS-oriented Operating System Athinagoras Skiadopoulos (Stanford University)*, Qian Li (Stanford University), Peter Kraft (Stanford University), Kostis Kaffes (Stanford University), Daniel Hong (Massachusetts Institute of Technology (MIT) Media Lab), Shana Mathew (Massachusetts Institute of Technology), David Bestor (MIT), Michael Cafarella (MIT CSAIL), Vijay Gadepally (MIT Lincoln Laboratory - USA), Goetz Graefe (Google), Jeremy Kepner (MIT Lincoln Laboratory), Christos Kozyrakis (Stanford University), Tim Kraska (MIT), Michael Stonebraker (MIT), Lalith Suresh (VMware Research), and Matei Zaharia (Stanford and Databricks)

Cosine: A Cloud-Cost Optimized Self-Designing Key-Value Storage Engine Subarna Chatterjee (Harvard University )*, Meena Jagadeesan (UC Berkeley), Wilson Qin (Harvard), and Stratos Idreos (Harvard)

HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework Xupeng Miao (Peking University)*, Hailin Zhang (Peking University), Yining Shi (Peking University), Xiaonan Nie (Peking University), Zhi Yang (Peking University), Yangyu Tao (Tencent), and Bin Cui (Peking University)

Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles David Campos (Aalborg University)*, Tung Kieu (Aalborg University), Chenjuan Guo (Aalborg University), Feiteng Huang (Huawei Cloud Database Innovation Lab), Kai Zheng (University of Electronic Science and Technology of China), Bin Yang (Aalborg University), and Christian S Jensen (Aalborg University)

A Neural Database for Differentially Private Spatial Range Queries Sepanta Zeighami (University of Southern California)*, Ritesh Ahuja (University of Southern California), Gabriel Ghinita (Univ. of Massachusetts Boston), and Cyrus Shahabi (Computer Science Department. University of Southern California)

User-Defined Operators: Efficiently Integrating Custom Algorithms into Modern Databases Moritz Sichert (Technische Universität München)*, and Thomas Neumann (TUM)

An In-Depth Study of Continuous Subgraph Matching Xibo Sun (Hong Kong University of Science and Technology), Shixuan Sun (National University of Singapore)*, Qiong Luo (Hong Kong University of Science and Technology), and Bingsheng He (National University of Singapore)

SNARF: A Learning-Enhanced Range Filter Kapil Vaidya (MIT)*, Tim Kraska (MIT), Subarna Chatterjee (Harvard University ), Eric R Knorr (Harvard), Michael Mitzenmacher (Harvard), and Stratos Idreos (Harvard)

ByteHTAP: ByteDance’s HTAP System with High Data Freshness and Strong Data Consistency Jianjun Chen (Bytedance)*, Yonghua Ding (Bytedance), Ye Liu (Bytedance Inc.), Fangshi Li (Bytedance), Li Zhang (ByteDance), Mingyi Zhang (ByteDance Inc), Kui Wei (ByteDance Inc.), Cao Lixun (ByteDance), Dan Zou (ByteDance), Yang Liu (ByteDance), Lei Zhang (ByteDance), Rui Shi (ByteDance Inc.), Wei Ding (Bytedance), KAI WU (ByteDance), Shangyu Luo (ByteDance), Jason Sun (Bytedance ), and Yuming Liang (ByteDance)

DyHealth: Making Neural Networks Dynamic for Effective Healthcare Analytics Kaiping Zheng (National University of Singapore), Shaofeng Cai (National University of Singapore), Horng-Ruey Chua (National University Hospital), Melanie Herschel (Universität Stuttgart), Meihui Zhang (Beijing Institute of Technology), and Beng Chin Ooi (NUS)*

Doppler: Automated SKU Recommendation in Migrating SQL Workloads to the Cloud Joyce Cahoon (Microsoft), Wenjing Wang (Microsoft), Yiwen Zhu (Microsoft)*, Katherine Lin (Microsoft), Sean Liu (Microsoft), Raymond Truong (Microsoft), Neetu Singh (Microsoft), Chengcheng Wan (University of Chicago), Alexandra M Ciortea (Microsoft), Sreraman Narasimhan (Microsoft), and Subru Krishnan (Microsoft)

SQLite: Past, Present, and Future Kevin P Gaffney (University of Wisconsin-Madison)*, Martin Prammer (University of Wisconsin - Madison), Laurence C Brasfield (SQLite devs), Richard Hipp (SQLite.org), Dan R Kennedy (Sqlite), and Jignesh Patel (UW - Madison)

Optimizing Machine Learning Inference Queries with Correlative Proxy Models Zhihui Yang (Zhejiang Lab)*, Zuozhi Wang (UC Irvine), Yicong Huang (UC Irvine), Yao Lu (Microsoft Research), Chen Li (UC Irvine), and X. Sean Wang (Fudan University)

Anomaly Detection in Time Series: A Comprehensive Evaluation [Experiment, Analysis & Benchmark Papers] Sebastian Schmidl (Hasso Plattner Institute, University of Potsdam), Phillip Wenig (Hasso Plattner Institute, University of Potsdam)*, and Thorsten Papenbrock (Philipps University of Marburg)

New wine in an old bottle: Data-aware hash functions for Bloom filters Arindam Bhattacharya (IIT Delhi)*, Chathur Gudesa (Indian Institute of Technology Delhi), Amitabha Bagchi (IIT Delhi), and Srikanta Bedathur (IIT Delhi)

Serving Deep Learning Models with Deduplication from Relational Databases Lixi Zhou (Arizona State University), Jiaqing Chen (Arizona State University), Amitabh Das (Arizona State University), Hong Min (IBM T.J. Watson Research Center), Lei Yu (IBM), Ming Zhao (ASU School of Computing), and Jia Zou (Arizona State University)*

Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction Benjamin Hilprecht (TU Darmstadt)*, and Carsten Binnig (TU Darmstadt)

Waffle: In-memory Grid Index for Moving Objects with Reinforcement Learning-based Configuration Tuning System Dalsu Choi (Korea University), Hyunsik Yoon (Korea University), Hyubjin Lee (Korea University), and Yon Dohn Chung (Korea University)*

Designing an Open Framework for Query Optimization and Compilation Michael Jungmair (Technical University of Munich)*, André Kohn (TUM), and Jana Giceva (TU Munich)

Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS Bobbi W Yogatama (University of Wisconsin-Madison)*, Weiwei Gong (Oracle America), and Xiangyao Yu (University of Wisconsin-Madison)

Shortest-Path Queries on Complex Networks: Experiments, Analyses, and Improvement Junhua Zhang (UTS), Wentao Li (University of Technology Sydney)*, Long Yuan (Nanjing University of Science and Technology), Lu Qin (University of Technology Sydney), Ying Zhang (University of Technology Sydney), and Lijun Chang (The University of Sydney)

Turbo-Charging SPJ Query Plans with Learned Physical Join Operator Selections Axel Hertzschuch (Technische Universität Dresden)*, Claudio Hartmann (Technische Universität Dresden), Dirk Habich (TU Dresden), and Wolfgang Lehner (TU Dresden)

Memory-Optimized Multi-Version Concurrency Control for Disk-Based Database Systems Michael Freitag (TUM)*, Alfons Kemper (TUM), and Thomas Neumann (TUM)

Query Processing on Tensor Computation Runtimes Dong He (University of Washington)*, Supun C Nakandala (University of California, San Diego), Dalitso Banda (Microsoft), Rathijit Sen (Microsoft), Karla Saur (Microsoft), Kwanghyun Park (Microsoft), Carlo Curino (Microsoft -- GSL), Jesús Camacho-rodríguez (Microsoft), Konstantinos Karanasos (Meta), and Matteo Interlandi (Microsoft)

Reliable Community Search in Dynamic Networks Yifu Tang (Deakin University), Jianxin Li (Deakin University)*, Nur Al Hasan Haldar (The University of Western Australia), Ziyu Guan (Xidian University), Jiajie Xu (Soochow University), and Chengfei Liu (Swinburne University of Technology)

Cost Modelling for Optimal Data Placement in Heterogeneous Main Memory [Experiments, Analyses & Benchmarks] Robert Lasch (TU Ilmenau, SAP SE)*, Thomas Legler (SAP SE), Norman May (SAP SE), Bernhard Scheirle (SAP SE), and Kai-uwe Sattler (TU Ilmenau)

Plush: A Write-Optimized Persistent Log-Structured Hash-Table Lukas Vogel (TUM)*, Alexander Van Renen (Friedrich-Alexander-Universität Erlangen-Nürnberg), Satoshi Imamura (Fujitsu Laboratories Ltd.), Jana Giceva (TU Munich), Thomas Neumann (TUM), and Alfons Kemper (TUM)

Lotus: Scalable Multi-Partition Transactions on Single-Threaded Partitioned Databases Xinjing Zhou (Massachusetts Institute of Technology)*, Xiangyao Yu (University of Wisconsin-Madison), Goetz Graefe (Google), and Michael Stonebraker (MIT)

A Scalable and Generic Approach to Range Joins Maximilian Reif (Technical University of Munich)*, and Thomas Neumann (TUM)

Spatial and Temporal Constrained Ranked Retrieval over Videos Yueting Chen (York University), Nick Koudas (University of Toronto), Xiaohui Yu (York University)*, and Ziqiang Yu (Yantai University)

A Study of Database Performance Sensitivity to Experiment Settings Yang Wang (The Ohio State University)*, Miao Yu (The Ohio State University), Yujie Hui (The Ohio State University), Fang Zhou (The Ohio State University), Yuyang Huang (Ohio State University), Rui Zhu (The Ohio State University), Xueyuan Ren (The Ohio State University), Tianxi Li (The Ohio State University) and Xiaoyi Lu (UC Merced)

Have Query Optimizers Hit the Wall Richard T. Snodgrass (University of Arizona), Sabah Currim (University of Arizona), and Young-Kyoon Suh (Kyungpook National University)

ABC of Order Dependencies Pei Li (Onedot A.G.), Jaroslaw Szlichta (Ontario Tech University), Michael H. Böhlen (University of Zurich), and Divesh Srivastava (AT&T Chief Data Office)

Picket: Guarding Against Corrupted Data in Tabular Dataduring Learning and Inference Zifan Liu (University of Wisconsin-Madison), Zhechun Zhou (University of Southern California), and Theodoros Rekatsinas (University of Wisconsin-Madison)

A Benchmark and Comprehensive Survey on Knowledge Graph Entity Alignment via Representation Learning Rui Zhang (Tsinghua University), Bayu Distiawan Trisedya (The University of Melbourne), Miao Li (The University of Melbourne), Yong Jiang (Tsinghua University), and Jianzhong Qi (The University of Melbourne)

A Design Space for RDF Data Representations Tomer Sagi (Aalborg University), Matteo Lissandrini (Aalborg University), Torben Bach Pedersen (Aalborg University), and Katja Hose (Aalborg University)


Session B

Accelerating Recommendation System Training by Leveraging Popular Choices Muhammad Adnan (University of British Columbia), Yassaman Ebrahimzadeh Maboud (University of British Columbia), Divya Mahajan (Microsoft)*, and Prashant J. Nair (University of British Columbia )

Babelfish: Efficient Execution of Polyglot Queries Philipp M Grulich (Technische Universität Berlin)*, Steffen Zeuch (DFKI Berlin), and Volker Markl (Technische Universität Berlin)

Leveraging Query Logs and Machine Learning for Parametric Query Optimization Kapil Vaidya (MIT)*, Anshuman Dutt (Microsoft Research), Vivek Narasayya (Microsoft), and Surajit Chaudhuri (Microsoft)

Answering Regular Path Queries through Exemplars Komal Chauhan (IIT Delhi), Kartik Jain (IIT Delhi), Sayan Ranu (IIT Delhi)*, Srikanta Bedathur (IIT Delhi), and Amitabha Bagchi (IIT Delhi)

Scabbard: Single Node Fault-Tolerant Stream Processing [Research] Georgios R Theodorakis (Imperial College London)*, Fotios Kounelis (Imperial College London), Peter Pietzuch (Imperial College London), and Holger Pirk (Imperial College, UK)

Enabling Personal Consent in Databases George Konstantinidis (University of Southampton)*, Jet Holt (University of Southampton), and Adriane Chapman (University of Southampton)

Pre-training Summarization Models of Structured Datasets for Cardinality Estimation Yao Lu (Microsoft Research)*, Srikanth Kandula (Microsoft Research), Arnd Christian König (Microsoft), and Surajit Chaudhuri (Microsoft)

Projection-Compliant Database Generation Anupam Sanghi (Indian Institute of Science)*, Shadab Ahmed (Indian Institute of Science), and Jayant R Haritsa (Indian Institute of Science)

Efficient Temporal Pattern Mining in Big Time Series Using Mutual Information Van Long Ho (Aalborg University)*, Nguyen Ho (Aalborg University), and Torben Bach Pedersen (Aalborg University)

Efficient Label-Constrained Shortest Path Queries on Road Networks: A Tree Decomposition Approach Junhua Zhang (UTS), Long Yuan (Nanjing University of Science and Technology)*, Wentao Li (University of Technology Sydney), Lu Qin (University of Technology Sydney), and Ying Zhang (University of Technology Sydney)

VIP Hashing - Adapting to Skew in Popularity of Data on the Fly Aarati Kakaraparthy (University of Wisconsin, Madison)*, Jignesh Patel (UW - Madison), Brian Kroth (Microsoft), and Kwanghyun Park (Microsoft Gray Systems Lab)

Database Workload Characterization with Query Plan Encoders Debjyoti Paul (University of Utah)*, Jie Cao (University of Utah), Feifei Li (University of Utah), and Vivek Srikumar (University of Utah)

TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data Shreshth Tuli (Imperial College London)*, Giuliano Casale (Imperial College London), and Nicholas R Jennings (Loughborough University)

ByteGNN: Efficient Graph Neural Network Training at Large Scale Chenguang Zheng (CUHK)*, Hongzhi Chen (ByteDance), Yuxuan Cheng (ByteDance Inc), Zhezheng Song (CUHK), Yifan Wu (Peking University), Changji Li (CUHK), James Cheng (CUHK), Hao Yang (Bytedance), and Shuai Zhang (Bytedance)

Accurate Summary-based Cardinality Estimation Through the Lens of Cardinality Estimation Graphs Jeremy Chen (University of Waterloo)*, Yuqing Huang (University of Waterloo), Mushi Wang (University of Waterloo), Semih Salihoglu (University of Waterloo), and Kenneth Salem (University of Waterloo)

Frost: A Platform for Benchmarking and Exploring Data Matching Results Martin Graf (Hasso Plattner Institute), Lukas Laskowski (Hasso Plattner Institute), Florian Papsdorf (Hasso Plattner Institute), Florian Sold (Hasso Plattner Institute)*, Roland Gremmelspacher (SAP SE), Felix Naumann (Hasso Plattner Institute), and Fabian Panse (Universität Hamburg)

ByteGraph: A High Performance Distributed Graph Database in ByteDance Changji Li (CUHK)*, Hongzhi CHEN (ByteDance), Shuai Zhang (Bytedance), Yingqian HU (ByteDance), Chao Chen (ByteDance), Zhenjie ZHANG (ByteDance), Meng LI (ByteDance), Xiangchen Li (ByteDance), Dongqing Han (ByteDance), Xiaohui Chen (Bytedance Ltd), Xudong Wang (bytedance), Huiming Zhu (ByteDance), Xuwei FU (bytedance), Tingwei Wu (ByteDance), Hongfei Tan (ByteDance), Hengtian Ding (ByteDance), Mengjin Liu (ByteDance), Kangcheng WANG (ByteDance), Ting Ye (ByteDance), Lei LI (ByteDance), Xin Li (ByteDance), Yu Wang (ByteDance), Chenguang Zheng (CUHK), Hao Yang (Bytedance), and James Cheng (CUHK)

Trie memtables in Cassandra Branimir Lambov (DataStax)*

DLCR: Efficient Indexing for Label-Constrained Reachability Queries on Large Dynamic Graphs Xin Chen (The Chinese University of Hong Kong)*, You Peng (The Chinese University of Hong Kong), Sibo Wang (The Chinese University of Hong Kong), and Jeffrey Xu Yu (Chinese University of Hong Kong)

MATE: Multi-Attribute Table Extraction Mahdi Esmailoghli (Leibniz Universität Hannover)*, Jorge Arnulfo Quiane Ruiz (TU Berlin), and Ziawasch Abedjan (Leibniz Universität Hannover)

Meta's Next-generation Realtime Monitoring and Analytics Platform Stavros Harizopoulos (Meta), Taylor Hopper (Meta), Morton Mo (Meta)*, Shyam Sundar Chandrasekaran (Meta), Tongguang Chen (Meta), Yan Cui (Meta), Nandini Ganesh (Meta), Gary Helmling (Meta), Hieu Pham (Meta), and Sebastian Wong (Meta)

HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data Fumiyuki Kato (Kyoto University)*, Tsubasa Takahashi (LINE Corporation), Shun Takagi (Kyoto University), Yang Cao (Kyoto University), Seng Pei Liew (LINE Corporation), and Masatoshi Yoshikawa (Kyoto University)

Decentralized Crowdsourcing for Human Intelligence Tasks with Efficient On-Chain Cost Yihuai Liang (Inha University), Yan Li (Inha University), and Byeong-seok Shin (Inha University)*

Don't Be a Tattle-Tale: Preventing Leakages through Data Dependencies on Access Control Protected Data Primal Pappachan (UCI)*, Shufan Zhang (University of Waterloo), Xi He (University of Waterloo), and Sharad Mehrotra (U.C. Irvine)

G-Tran: A High Performance Distributed Graph Database with a Decentralized Architecture Hongzhi Chen (CUHK)*, Changji Li (CUHK), Chenguang Zheng (CUHK), Chenghuan Huang (CUHK), Juncheng Fang (CUHK), James Cheng (CUHK), and Jian Zhang (The Chinese University of Hong Kong)

MIDE: Accuracy Aware Minimally Invasive Data Exploration For Decision Support Sameera Ghayyur (UC Irvine)*, Dhrubajyoti Ghosh (UC Irvine), Xi He (University of Waterloo), and Sharad Mehrotra (U.C. Irvine)

CodexDB: Synthesizing Code for Query Processing from Natural Language Instructions using GPT-3 Codex Immanuel Trummer (Cornell)*

LlamaTune: Sample-Efficient DBMS Configuration Tuning Konstantinos Kanellis (University of Wisconsin-Madison)*, Cong Ding (University of Wisconsin-Madison), Brian Kroth (Microsoft), Andreas C Mueller (Microsoft), Carlo Curino (Microsoft), and Shivaram Venkataraman (University of Wisconsin, Madison)

Chimp: Efficient Lossless Floating Point Compression for Time Series Databases Panagiotis Liakos (University of Athens)*, Katia Papakonstantinopoulou (Athens University of Economics and Business), and Yannis Kotidis (Athens University of Economics and Business)

Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing Chenghao Lyu (University of Massachusetts Amherst)*, Qi Fan (Ecole Polytechnique), Fei Song (Ecole Polytechnique), Arnab Sinha (Ecole Polytechnique), Yanlei Diao (Ecole Polytechnique), Wei Chen (Alibaba), Li Ma (Alibaba Group), Yihui Feng (Alibaba Group), Yaliang Li (Alibaba Group), Kai Zeng (Alibaba Group), and Jingren Zhou (Alibaba Group)

Optimizing Differentially-Maintained Recursive Queries on Dynamic Graphs Khaled Ammar (University of Waterloo, Thomson Reuters Labs)*, Siddhartha Sahu (University of Waterloo), Semih Salihoglu (University of Waterloo), and Tamer Özsu (University of Waterloo)

xFraud: Explainable Fraud Transaction Detection Susie Xi Rao (ETH)*, Shuai Zhang (ETH Zurich), Zhichao Han (Ebay), Zitao Zhang (eBay), Wei Min (ebay), Zhiyao Chen (eBay), Yinan Shan (Ebay), Yang Zhao (Ebay), and Ce Zhang (ETH Zurich)

Sortledton: a universal, transactional graph data structure Per Fuchs (Technische Universität München)*, Jana Giceva (TU Munich), andDomagoj Margan (Imperial College London)

A Survey on Semantic Schema Discovery Kenza Kellou-Menouer (University of Versailles St.-Quentin-en-Yvelines), Nikolaos Kardoulakis (FORTH-ICS), Georgia Troullinou (FORTH-ICS), Zoubida Kedad (University of Versailles St.-Quentin-en-Yvelines), Dimitris Plexousakis (FORTH-ICS), and Haridimos Kondylakis (FORTH-ICS)

Dynamic Spanning Trees for Connectivity Queries on Fully-dynamic Undirected Graphs Qing Chen (University of Zürich)*, Oded Lachish (Birkbeck, University of London), Sven Helmer (University of Zurich), Michael H Böhlen (University of Zurich)

eRiskCom: an e-commerce risky community detection platform Fanzhen Liu (Macquarie University), Zhao Li (Zhejiang University and Alibaba Group), Baokun Wang (Ant Financial Services Group), Jia Wu (Macquarie University), Jian Yang (Macquarie University), Jiaming Huang (Alibaba Group), Yiqing Zhang (Ant Financial Services Group), Weiqiang Wang (Ant Financial Services Group), Shan Xue (Macquarie University), Surya Nepal (CSIRO Data61), and Quan Z. Zheng (Macquarie University)


Session C

DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation Dong He (University of Washington)*, Maureen Daum (University of Washington), Walter Cai (University of Washington), and Magdalena Balazinska (UW)

Parallel Training of Knowledge Graph Embedding Models: A Comparison of Techniques [Experiments, Analyses & Benchmarks] Adrian Kochsiek (University of Mannheim)*, and Rainer Gemulla (Universität Mannheim)

What Is the Price for Joining Securely? Benchmarking Equi-Joins in Trusted Execution Environments [Experiment, Analysis & Benchmark Papers] Kajetan Maliszewski (TU Berlin)*, Jorge Arnulfo Quiane Ruiz (TU Berlin), Jonas Traub (TU Berlin), and Volker Markl (Technische Universität Berlin)

Flexible Rule-Based Decomposition and Metadata Independence in Modin: A Parallel Dataframe System Devin Petersohn (UC Berkeley)*, Dixin Tang (University of California, Berkeley), Rehan S Durrani (UC Berkeley), Areg Melik-adamyan (Intel Corporation), Joseph E Gonzalez (UC Berkeley), Anthony Joseph (UC Berkeley), and Aditya Parameswaran (University of California, Berkeley)

Fast Detection of Denial Constraint Violations Eduardo H. M. Pena (UTFPR)*, Eduardo Cunha De Almeida (UFPR), and Felix Naumann (Hasso Plattner Institute)

Scalable Robust Graph Embedding with Spark Chi Thang Duong (Ecole Polytechnique Federale de Lausanne)*, Dung Trung Hoang (Hanoi University of Science and Technology), Hongzhi Yin (The University of Queensland), Matthias Weidlich (Humboldt-Universität zu Berlin), Quoc Viet Hung Nguyen (Griffith University), and Karl Aberer (EPFL)

Succinct Graph Representations as Distance Oracles: An Experimental Evaluation Arpit Merchant (University of Helsinki)*, Aristides Gionis (KTH Royal Institute of Technology), and Michael Mathioudakis (University of Helsinki)

Hybrid Blockchain Database Systems: Design and Performance Zerui Ge (National University of Singapore), Dumitrel Loghin (National University of Singapore)*, Beng Chin Ooi (NUS), Pingcheng Ruan (National University of Singapore), and Tianwen Wang (National University of Singapore)

Multivariate Correlations Discovery in Static and Streaming Data Koen Minartz (Eindhoven University of Technology), Jens D'hondt (TU Eindhoven), and Odysseas Papapetrou (TU Eindhoven)*

Scalar DL: Scalable and Practical Byzantine Fault Detection for Transactional Database Systems Hiroyuki Yamada (Scalar, Inc.)*, and Jun Nemoto (Scalar, Inc.)

Entity Resolution On-Demand Giovanni Simonini (University of Modena and Reggio Emilia)*, Luca Zecchini (Università degli Studi di Modena e Reggio Emilia), Sonia Bergamaschi (Università di Modena e Reggio Emilia), and Felix Naumann (Hasso Plattner Institute)

ForBackBench: A Benchmark for Chasing vs. Query-Rewriting [Experiments, Analyses & Benchmarks] Afnan G Alhazmi (Southampton University)*, Tom Blount (University of Southampton), and George Konstantinidis (University of Southampton)

CDI-E: An Elastic Cloud Service for Data Engineering Prakash C Das (Informatica), Shivangi srivastava (Informatica), Valentin Moskovich (Informatica)*, Anmol Chaturvedi (Informatica), Anant Mittal (Informatica), Yongqin Xiao (Informatica), and Mosharaf Chowdhury (University of Michigan, Ann Arbor)

Efficient Maximal Biclique Enumeration for Large Sparse Bipartite Graphs Lu Chen (Swinburne University of Technology)*, Chengfei Liu (Swinburne University of Technology), Rui Zhou (Swinburne University of Technology), Jiajie Xu (Soochow University), and Jianxin Li (Deakin University)

Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty Andy Huynh (Boston University)*, Harshal Chaudhari (Boston University), Evimaria Terzi (Boston University), and Manos Athanassoulis (Boston University)

A Critical Re-evaluation of Neural Methods for Entity Alignment Manuel Leone (EPFL), Stefano Huber (EPFL), Akhil Arora (EPFL)*, Alberto Garcia-duran (EPFL), and Robert West (EPFL)

TAOBench: An End-to-End Benchmark for Social Networking Workloads Audrey Cheng (UC Berkeley)*, Xiao Shi (Facebook, Inc.), Aaron N Kabcenell (Facebook), Shilpa Lawande (Facebook, Inc.), Hamza Qadeer (University of California, Berkeley), Jason Chan (UC Berkeley), Harrison Tin ( University of California, Berkeley), Ryan Zhao (University of California, Berkeley), Peter Bailis (), Mahesh Balakrishnan (Microsoft Research), Nathan Bronson (Rockset), Natacha Crooks (UC Berkeley), and Ion Stoica (UC Berkeley)

Efficient Shortest Path Counting on Large Road Networks Yu-xuan Qiu (University of Technology Sydney)*, Dong Wen (University of New South Wales), Lu Qin (University of Technology Sydney), Wentao Li (University of Technology Sydney), Ronghua Li (Beijing Institute of Technology), and Ying Zhang (University of Technology Sydney)

A New Distributional Treatment for Time Series and An Anomaly Detection Investigation Kai Ming Ting (Nanjing University), Zongyou Liu (Nanjing University)*, Hang Zhang (Nanjing University), and Ye Zhu (Deakin University)

Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy Ergute Bao (national university of singapore)*, Yizheng Zhu (National University of Singapore), Xiaokui Xiao (National University of Singapore), Yin Yang (Hamad bin Khalifa University), Beng Chin Ooi (NUS), Benjamin Tan (Institute for Infocomm Research), and Khin Mi Mi Aung (ASTAR)

PerMA-Bench: Benchmarking Persistent Memory Access [Experiments, Analyses & Benchmarks] Lawrence Benson (Hasso Plattner Institute, University of Potsdam)*, Leon Papke (Hasso Plattner Institute), and Tilmann Rabl (HPI, University of Potsdam)

Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching Yeonhong Park (Seoul National University)*, Sunhong Min (Seoul National University), and Jae W. Lee (Seoul National University)

Maximizing Fair Content Spread via Edge Suggestion in Social Networks Ian Swift (University of Illinois at Chicago)*, Sana Ebrahimi (University of Illinois at Chicago), Azade Nova (Google Brain), and Abolfazl Asudeh (University of Illinois at Chicago)

On Shapley Value in Data Assemblage Under Independent Utility Xuan Luo (Simon Fraser University)*, Jian Pei (Simon Fraser University), Zicun Cong (Simon Fraser University), and Cheng Xu (Simon Fraser University)

UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads Arnab Phani (Graz University of Technology)*, Lukas Erlbacher (Graz University of Technology), and Matthias Boehm (Graz University of Technology)

On-Demand State Separation for Cloud Data Warehousing Christian Winter (TUM)*, Jana Giceva (TU Munich), Thomas Neumann (TUM), and Alfons Kemper (TUM)

BABOONS: Black-Box Optimization of Data Summaries in Natural Language Immanuel Trummer (Cornell)*

Identifying Similar-Bicliques in Bipartite Graphs Kai Yao (The University of Sydney)*, Lijun Chang (The University of Sydney), and Jeffrey Xu Yu (Chinese University of Hong Kong)

Cardinality Estimation of Approximate Substring Queries using Deep Learning Suyong Kwon (Seoul National University), Woohwan Jung (Hanyang University)*, and Kyuseok Shim (Seoul National University)

Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow Siyuan Xia (University of Chicago)*, Zhiru Zhu (University of Chicago), Christopher Zhu (The University of Chicago), Jinjin Zhao (University of Chicago), Kyle Chard (Computation Institute), Aaron J Elmore (University of Chicago), Ian Foster (University of Chicago & Argonne Nat Lab), Michael Franklin (University of Chicago), Sanjay Krishnan (U Chicago), and Raul Castro Fernandez (UChicago)

Enabling Efficient and General Subpopulation Analytics In Multidimensional Data Streams Antonis Manousis (Carnegie Mellon University)*, Zhuo Cheng (Peking University), Zaoxing Liu (Boston University), Ran Ben Basat (UCL), and Vyas Sekar (Carnegie Mellon University)

Detecting Layout Templates in Complex Multiregion Files Gerardo Vitagliano (Hasso Plattner Institute)*, Lan Jiang (Hasso Plattner Institute), and Felix Naumann (Hasso Plattner Institute)

ParChain: A Framework for Parallel Hierarchical Agglomerative Clustering using Nearest-Neighbor Chain Shangdi Yu (Massachusetts Institute of Technology)*, Yiqiu Wang (Massachusetts Institute of Technology), Yan Gu (UC Riverside), Laxman Dhulipala (MIT CSAIL), and Julian Shun (MIT)

Computing How-Provenance for SPARQL Queries via Query Rewriting Daniel Hernández (Aalborg University), Luis Galárraga (INRIA)*, and Katja Hose (Aalborg University)

Magma: A high data density storage engine used in Couchbase Sarath Lakshman (Couchbase)*, Apaar Gupta (Couchbase Inc.), Rohan Suri (Couchbase), Scott D Lashley (Couchbase), John Liang (Couchbase Inc), Srinath Duvuru (Couchbase), Ravi Mayuram (Couchbase)

Information Resilience: The Nexus of Responsible and Agile Approaches to Information Use Shazia Sadiq (The University of Queensland), Amir Aryani (Swinburne University of Technology), Gianluca Demartini (The University of Queensland), Wen Hua (The University of Queensland), Marta Indulska (The University of Queensland), Andrew Burton-Jones (The University of Queensland), Hassan Khosravi (The University of Queensland), Diana Benavides-Prado (Auckland University of Technology), Timos Sellis (Swinburne University of Technology and Facebook), Ida Someh (The University of Queensland), Rhema Vaithianathan (The University of Queensland), Sen Wang (The University of Queensland), and Xiaofang Zhou (The Hong Kong University of Science and Technology)