Proceedings of the VLDB Endowment, Volume 14, 2020-2021

• Editors-in-Chief: Xin Luna Dong and Felix Naumann
• Publication Editors: Thorsten Papenbrock and Hannes Mühleisen
• Associate Editors: Alon Halevy, Anastasia Ailamaki, Angela Bonifati, Arun Kumar, Ashraf Aboulnaga, Eugene Wu, Floris Geerts, Graham Cormode, Jeffrey Xu Yu, Jiannan Wang, Jingren Zhou, Jorge Arnulfo Quiane Ruiz, Juliana Freire, Jun Yang, Martin Theobald, Nesime Tatbul, Paolo Papotti, Rainer Gemulla, Stefan Manegold, Stratos Idreos, Surajit Chaudhuri, Xuemin Lin, Yi Chen, Yufei Tao, Zachary Ives, Zhifeng Bao
• Review Board: see full list

Volume 14, No. 1, September 2020

• • Xin Luna Dong and Felix Naumann:
    Front Matter. i - vi

• • Ryan Marcus, Andreas Kipf, Alexander Van Renen, Mihail Stoian, Sanchit Misra, Alfons Kemper, Thomas Neumann, Tim Kraska:
    Benchmarking Learned Indexes. 1 - 13.

• • Zuozhi Wang, Kai Zeng, Botong Huang, Wei Chen, Xiaozong Cui, Bo Wang, Ji Liu, Liya Fan, Dachuan Qu, Zhenyu Hou, Tao Guan, Chen Li, Jingren Zhou:
    Tempura: A General Cost-Based Optimizer Framework for Incremental Data Processing. 14 - 27.

• • Geon Heo, Yuji Roh, Seonghyeon Hwang, Dayun Lee, Steven Whang:
    Inspector Gadget: A Data Programming-based Labeling System for Industrial Images. 28 - 36.

• • Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Juncheng Liu, Sourav S. Bhowmick:
    Scaling Attributed Network Embedding to Massive Graphs. 37 - 49.

• • Yuliang Li, Jinfeng Li, Yoshihiko Suhara, Anhai Doan, Wang-Chiew Tan:
    Deep Entity Matching with Pre-Trained Language Models. 50 - 60.

• • Zongheng Yang, Amog Kamsetty, Sifei Luan, Eric Liang, Yan Duan, Peter Chen, Ion Stoica:
    NeuroCard: One Cardinality Estimator for All Tables. 61 - 73.

Volume 14, No. 2, October 2020

• Yufei Tao:
  Front Matter. i - vi
• Jialin Ding, Vikram Nathan, Mohammad Alizadeh, Tim Kraska:
  
  Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads. 74 - 86.
• Daniel Kang, Ankit Mathur, Teja Veeramacheneni, Peter Bailis, Matei Zaharia:
  
  Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics. 87 - 100.
• Prashanth Menon, Amadou Ngom, Todd Mowry, Andrew Pavlo, Lin Ma:
  
  Permutable Compiled Queries: Dynamically Adapting Compiled Queries without Recompiling. 101 - 113.
• Seung Won Min, Vikram Sharma Mailthody, Zaid Qureshi, Jinjun Xiong, Eiman Ebrahimi, Wen-Mei Hwu:
  
  EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal In GPUs. 114 - 127.
• Yinda Zhang, Jinyang Li, Yutian Lei, Tong Yang, Zhetao Li, Gong Zhang, Bin Cui:
  
  On-Off Sketch: A Fast and Accurate Sketch on Persistence. 128 - 140.
• Luan Tran, Min Mun, Cyrus Shahabi:
  
  Real-Time Distance-Based Outlier Detection in Data Streams. 141 - 153.
• Olga Poppe, Tayo Amuneke, Dalitso Banda, Aritra De, Ari Green, Manon Knoertzer, Ehi Nosakhare, Karthik Rajendran, Deepak Shankargouda, Meina Wang, Alan Au, Carlo Curino, Qun Guo, Alekh Jindal, Ajay Kalhan, Morgan Oslake, Sonia Parchani, Vijay Ramani, Raj Sellappan, Saikat Sen, Sheetal Shrotri, Soundararajan Srinivasan, Ping Xia, Shize Xu, Alicia Yang, Yiwen Zhu:
  
  Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation. 154 - 162.
• Sheng Wang, Yuan Sun, Zhifeng Bao:
  
  On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection. 163 - 175.
• Shixuan Sun, Xibo Sun, Yulin Che, Qiong Luo, Bingsheng He:
  
  RapidMatch: A Holistic Approach to Subgraph Query Processing. 176 - 188.
• Yu Xia, Xiangyao Yu, Andrew Pavlo, Srinivas Devadas:
  
  Taurus: Lightweight Parallel Logging for In-Memory Database Management Systems. 189 - 201.
• Johns Paul, Bingsheng He, Shengliang Lu, Chiew Tong Lau:
  
  Improving Execution Efficiency of Just-in-time Compilation based Query Processing on GPUs. 202 - 214.
• Shuang Wang, Hakan Ferhatosmanoglu:
  
  PPQ-Trajectory: Spatio-temporal Quantization for Qerying in Large Trajectory Repositories. 215 - 227.
• Xiao Hu, Shouzhuo Sun, Shweta Patwa, Debmalya Panigrahi, Sudeepa Roy:
  
  Aggregated Deletion Propagation for Counting Conjunctive Query Answers. 228 - 240.

Volume 14, No. 3, November 2020

• Anastasia Ailamaki:
  Front Matter. i - vi
• Chen Luo, Michael Carey:
  
  Breaking Down Memory Walls: Adaptive Memory Management in LSM-based Storage Systems. 241 - 254.
• Bojan Karlaš, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang:
  
  Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions. 255 - 267.
• Peter Alvaro, Kyle Kingsbury:
  
  Elle: Inferring Isolation Anomalies from Experimental Observations. 268 - 280.
• Martin Kiefer, Ilias Poulakis, Sebastian Bress, Volker Markl:
  
  Scotch: Generating FPGA-Accelerators for Sketching at Line Rate. 281 - 293.
• Mourad Khayati, Ines Arous, Zakhar Tymchenko, Philippe Cudre-Mauroux:
  
  ORBITS: Online Recovery of Missing Values in Multiple Time Series Streams. 294 - 306.
• Xiang Deng, Huan Sun, Alyssa Lees, You Wu, Cong Yu:
  
  TURL: Table Understanding through Representation Learning. 307 - 319.
• Long Guo, Lifeng Hua, Rongfei Jia, Fei Fang, Binqiang Zhao, Bin Cui:
  
  EdgeDIPN: a Unified Deep Intent Prediction Network Deployed at the Edge. 320 - 328.
• Yiming Lin, Daokun Jiang, Roberto Yus, Georgios Bouloukakis, Andrew Chio, Sharad Mehrotra, Nalini Venkatasubramanian:
  
  LOCATER: Cleaning WiFi Connectivity Datasets for Semantic Localization. 329 - 341.
• Hao Liu, Jindong Han, Yanjie Fu, Jingbo Zhou, Xinjiang Lu, Hui Xiong:
  
  Multi-Modal Transportation Recommendation with Unified Route Representation Learning. 342 - 350.
• Yue Wang, Ruiqi Xu, Zonghao Feng, Yulin Che, Lei Chen, Qiong Luo, Rui Mao:
  
  DISK: A Distributed Framework for Single-Source SimRank with Accuracy Guarantee. 351 - 363.
• Diego Didona, Nikolas Ioannou, Radu Stoica, Kornilios Kourtis:
  
  Toward a Better Understanding and Evaluation of Tree Structures on Flash SSDs. 364 - 377.
• Jianyu Yang, Tianhao Wang, Ninghui Li, Xiang Cheng, Sen Su:
  
  Answering Multi-Dimensional Range Queries under Local Differential Privacy. 378 - 390.
• Dimitris Palyvos-Giannas, Bastian Havers, Marina Papatriantafilou, Vincenzo Gulisano:
  
  Ananke: A Streaming Framework for Live Forward Provenance. 391 - 403.
• Kartik Lakhotia, Rajgopal Kannan, Viktor Prasanna, César De Rose:
  
  RECEIPT: REfine CoarsE-grained IndePendent Tasks for Parallel Tip decomposition of Bipartite Graphs. 404 - 417.
• Shaleen Deep, Anja Gruenheid, Paraschos Koutris, Jeff Naughton, Stratis Viglas:
  
  Comprehensive and Efficient Workload Compression. 418 - 430.
• Yongjun He, Jiacheng Lu, Tianzheng Wang:
  
  CoroBase: Coroutine-Oriented Main-Memory Database Engine. 431 - 444.
• Jaclyn Smith, Michael Benedikt, Milos Nikolic, Amir Shaikhha:
  
  Scalable Querying of Nested Data. 445 - 457.

Volume 14, No. 4, December 2020

• Angela Bonifati and Jorge-Arnulfo Quiané-Ruiz:
  Front Matter. i - vi
• Long Gong, Ziheng Liu, Liang Liu, Jun Xu, Mitsunori Ogihara, Tong Yang:
  
  Space- and Computationally-Efficient Set Reconciliation via Parity Bitmap Sketch (PBS). 458 - 470.
• Suraj Shetiya, Saravanan Thirumuruganathan, Nick Koudas, Gautam Das:
  
  Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning. 471 - 484.
• Nan Zheng, Zack Ives:
  
  Compact, Tamper-Resistant Archival of Fine-Grained Provenance. 485 - 497.
• Ingo Müller, Ghislain Fourny, Stefan Irimescu, Can Cikis, Gustavo Alonso:
  
  Rumble: Data Independence for Large Messy Data Sets. 498 - 506.
• Adriane Chapman, Paolo Missier, Giulia Simonelli, Riccardo Torlone:
  
  Capturing and querying fine-grained provenance of preprocessing pipelines in data science. 507 - 520.
• Victor Farias, Felipe Brito, Cheryl Flynn, Javam Machado, Subhabrata Majumdar, Divesh Srivastava:
  
  Local Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity. 521 - 533.
• Tianyu Li, Matthew Butrovich, Amadou Ngom, Wan Shen Lim, Wes Mckinney, Andrew Pavlo:
  
  Mainlining Databases: Supporting Fast Transactional Workloads on Universal Columnar Data File Formats. 534 - 546.
• Shengliang Lu, Bingsheng He, Yuchen Li, Hao Fu:
  
  Accelerating Exact Constrained Shortest Paths on GPUs. 547 - 559.
• Songsong Mo, Zhifeng Bao, Ping Zhang, Zhiyong Peng:
  
  Towards an Efficient Weighted Random Walk Domination. 560 - 572.
• Guimu Guo, Da Yan, Tamer Özsu, Zhe Jiang, Jalal Khalil:
  
  Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach. 573 - 585.
• Eleftherios Kokoris Kogias, Enis Ceyhun Alp, Linus Gasser, Philipp Jovanovic, Ewa Syta, Bryan Ford:
  
  CALYPSO: Private Data Management for Decentralized Ledgers. 586 - 599.
• Brian Hentschel, Stratos Idreos, Kyle Deeds:
  
  Stacked Filters: Learning to Filter by Structure. 600 - 612.
• Prithu Banerjee, Laks V.s. Lakshmanan, Wei Chen:
  
  Maximizing Social Welfare in a Competitive Diffusion Model. 613 - 625.
• Shashank Gugnani, Arjun Kashyap, Xiaoyi Lu:
  
  Understanding the Idiosyncrasies of Real Persistent Memory. 626 - 639.
• Abraham Gale, Amelie Marian:
  
  Explaining Ranking Functions. 640 - 652.
• Laxman Dhulipala, Changwan Hong, Julian Shun:
  
  ConnectIt: A Framework for Static and Incremental Parallel Graph Connectivity Algorithms. 653 - 667.
• Wissam Mammar Kouadri, Mourad Ouziri, Salima Benbernou, Karima Echihabi, Themis Palpanas, Iheb Benamor:
  
  Quality of Sentiment Analysis Tools: The Reasons of Inconsistency. 668 - 681.
• Rolando Garcia, Erick Liu, Vikram Sreekanti, Bobby Yan, Anusha Dandamudi, Joseph Gonzalez, Joseph Hellerstein, Koushik Sen:
  
  Hindsight Logging for Model Training. 682 - 693.
• Lin Jiang, Junqiao Qiu, Zhijia Zhao:
  
  Scalable Structural Index Construction for JSON Analytics. 694 - 707.
• Ran Rui, Hao Li, Yi-Cheng Tu:
  
  Efficient Join Algorithms For Large Database Tables in a Multi-GPU Environment. 708 - 720.

Volume 14, No. 5, January 2021

• Ashraf Aboulnaga:
  Front Matter.
• Yan Shuyuan, Bolin Ding, Wei Guo, Jingren Zhou, Zhewei Wei, Xiaowei Jiang, Sheng Xu:
  FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data. 721 - 729.
• Chi Thang Duong, Dung Hoang, Hongzhi Yin, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer:
  Efficient Streaming Subgraph Isomorphism with Graph Neural Networks. 730 - 742.
• Yi Lu, Xiangyao Yu, Lei Cao, Samuel Madden:
  Epoch-based Commit and Replication in Distributed OLTP Databases. 743 - 756.
• Zhe Lin, Fan Zhang, Xuemin Lin, Wenjie Zhang, Zhihong Tian:
  Hierarchical Core Maintenance on Large Dynamic Graphs. 757 - 770.
• Jayashree Mohan, Amar Phanishayee, Ashish Raniwala, Vijay Chidambaram:
  Analyzing and Mitigating Data Stalls in DNN Training. 771 - 784.
• Daokun Hu, Zhiwen Chen, Jianbing Wu, Jianhua Sun, Hao Chen:
  Persistent Memory Hash Indexes: An Experimental Evaluation. 785 - 798.
• Cheng Chen, Jun Yang, Mian Lu, Taize Wang, Zhao Zheng, Yuqiang Chen, Wenyuan Dai, Bingsheng He, Weng-fai Wong, Guoan Wu, Yuping Zhao, Andy Rudoff:
  Optimizing An In-memory Database System For AI-powered On-line Decision Augmentation Using Persistent Memory. 799 - 812.
• Arif Usta, Akifhan Karakayalı, Özgür Ulusoy:
  DBTagger: Multi-Task Learning for Keyword Mapping in NLIDBs Using Bi-Directional Recurrent Neural Networks. 813 - 821.
• Ritesh Sarkhel, Arnab Nandi:
  Improving Information Extraction from Visually Rich Documents using Visual Span Representations. 822 - 834.
• Gang Liu, Leying Chen, Shimin Chen:
  Zen: a High-Throughput Log-Free OLTP Engine for Non-Volatile Main Memory. 835 - 848.
• Tianxi Ji, Pan Li, Emre Yilmaz, Erman Ayday, Yanfang Ye, Jinyuan Sun:
  Differentially Private Binary- and Matrix-Valued Data Query: An XOR Mechanism. 849 - 862.