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ORCIDProceedings of the VLDB Endowment, Volume 14
Volume 14, Number 1, September 2020
- Xin Luna Dong, 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, Xi Chen, Ion Stoica:
NeuroCard: One Cardinality Estimator for All Tables. 61-73
Volume 14, Number 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 C. Mowry, Andrew Pavlo, Lin Ma:
Permutable Compiled Queries: Dynamically Adapting Compiled Queries without Recompiling. 101-113 - Seungwon 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 V. Tran, Minyoung 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 Querying 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, Number 3, November 2020
- Anastasia Ailamaki:
Front Matter. i-vi - Chen Luo, Michael J. Carey:
Breaking Down Memory Walls: Adaptive Memory Management in LSM-based Storage Systems. 241-254 - Bojan Karlas, 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 Cudré-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 K. Prasanna, César A. F. De Rose:
RECEIPT: REfine CoarsE-grained IndePendent Tasks for Parallel Tip decomposition of Bipartite Graphs. 404-417 - Shaleen Deep, Anja Gruenheid, Paraschos Koutris, Jeffrey F. 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, Number 4, December 2020
- Angela Bonifati, 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 Berker 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 A. E. de Farias, Felipe T. Brito, Cheryl J. Flynn, Javam C. 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, M. 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 - Kyle Deeds, Brian Hentschel, Stratos Idreos:
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, Amélie 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 Maamar Kouadri, Mourad Ouziri, Salima Benbernou, Karima Echihabi, Themis Palpanas, Iheb Ben Amor:
Quality of Sentiment Analysis Tools: The Reasons of Inconsistency. 668-681 - Rolando Garcia, Eric Liu, Vikram Sreekanti, Bobby Yan, Anusha Dandamudi, Joseph Gonzalez, Joseph M. 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, Number 5, January 2021
- Ashraf Aboulnaga:
Front Matter. - Shuyuan Yan, 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 Karakayali, 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
Volume 14, Number 6, February 2021
- Hannes Mühleisen, Thorsten Papenbrock:
Front Matter. - Supun Nakandala, Yuhao Zhang, Arun Kumar:
Errata for "Cerebro: A Data System for Optimized Deep Learning Model Selection". 863 - Lujia Yin, Yiming Zhang, Zhaoning Zhang, Yuxing Peng, Peng Zhao:
ParaX: Boosting Deep Learning for Big Data Analytics on Many-Core CPUs. 864-877 - Walter Cai, Philip A. Bernstein, Wentao Wu, Badrish Chandramouli:
Optimization of Threshold Functions over Streams. 878-889 - Xuliang Zhu, Xin Huang, Byron Choi, Jiaxin Jiang, Zhaonian Zou, Jianliang Xu:
Budget Constrained Interactive Search for Multiple Targets. 890-902 - Yangjun Chen, Hoang Hai Nguyen:
On the String Matching with k Differences in DNA Databases. 903-915 - Yasuhiro Fujiwara, Sekitoshi Kanai, Yasutoshi Ida, Atsutoshi Kumagai, Naonori Ueda:
Fast Algorithm for Anchor Graph Hashing. 916-928 - Wangda Zhang, Junyoung Kim, Kenneth A. Ross, Eric Sedlar, Lukas Stadler:
Adaptive Code Generation for Data-Intensive Analytics. 929-942 - Efthymia Tsamoura, David Carral, Enrico Malizia, Jacopo Urbani:
Materializing Knowledge Bases via Trigger Graphs. 943-956 - Jinfei Liu, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun:
Dealer: An End-to-End Model Marketplace with Differential Privacy. 957-969 - Sajjadur Rahman, Mangesh Bendre, Yuyang Liu, Shichu Zhu, Zhaoyuan Su, Karrie Karahalios, Aditya G. Parameswaran:
NOAH: Interactive Spreadsheet Exploration with Dynamic Hierarchical Overviews. 970-983 - Yixing Yang, Yixiang Fang, Maria E. Orlowska, Wenjie Zhang, Xuemin Lin:
Efficient Bi-triangle Counting for Large Bipartite Networks. 984-996 - Sandeep Tata, Navneet Potti, James B. Wendt, Lauro Beltrão Costa, Marc Najork, Beliz Gunel:
Glean: Structured Extractions from Templatic Documents. 997-1005 - Jun Gao, Jiazun Chen, Zhao Li, Ji Zhang:
ICS-GNN: Lightweight Interactive Community Search via Graph Neural Network. 1006-1018 - Yuanyuan Sun, Sheng Wang, Huorong Li, Feifei Li:
Building Enclave-Native Storage Engines for Practical Encrypted Databases. 1019-1032 - James Thorne, Majid Yazdani, Marzieh Saeidi, Fabrizio Silvestri, Sebastian Riedel, Alon Y. Levy:
From Natural Language Processing to Neural Databases. 1033-1039 - Haibo Wang, Chaoyi Ma, Olufemi O. Odegbile, Shigang Chen, Jih-Kwon Peir:
Randomized Error Removal for Online Spread Estimation in Data Streaming. 1040-1052 - Dean De Leo, Peter A. Boncz:
Teseo and the Analysis of Structural Dynamic Graphs. 1053-1066 - Tim Gubner, Peter A. Boncz:
Charting the Design Space of Query Execution using VOILA. 1067-1079 - Zhiqi Wang, Jin Xue, Zili Shao:
Heracles: An Efficient Storage Model And Data Flushing For Performance Monitoring Timeseries. 1080-1092 - Stephen Macke, Aditya G. Parameswaran, Hongpu Gong, Doris Jung Lin Lee, Doris Xin, Andrew Head:
Fine-Grained Lineage for Safer Notebook Interactions. 1093-1101 - Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Ivan V. Oseledets, Emmanuel Müller:
FREDE: Anytime Graph Embeddings. 1102-1110 - Xiaodong Li, Reynold Cheng, Kevin Chen-Chuan Chang, Caihua Shan, Chenhao Ma, Hongtai Cao:
On Analyzing Graphs with Motif-Paths. 1111-1123
Volume 14, Number 7, March 2021
- Arun Kumar, Alon Y. Halevy, Nesime Tatbul:
Front Matter. - Dimitris Tsaras, George Trimponias, Lefteris Ntaflos, Dimitris Papadias:
Collective Influence Maximization for Multiple Competing Products with an Awareness-to-Influence Model. 1124-1136 - Yahui Sun, Xiaokui Xiao, Bin Cui, Saman K. Halgamuge, Theodoros Lappas, Jun Luo:
Finding Group Steiner Trees in Graphs with both Vertex and Edge Weights. 1137-1149 - Tenindra Abeywickrama, Victor Liang, Kian-Lee Tan:
Optimizing Bipartite Matching in Real-World Applications by Incremental Cost Computation. 1150-1158 - Immanuel Trummer:
The Case for NLP-Enhanced Database Tuning: Towards Tuning Tools that "Read the Manual". 1159-1165 - Sujaya Maiyya, Faisal Nawab, Divy Agrawal, Amr El Abbadi:
Errata for "Unifying Consensus and Atomic Commitment for Effective Cloud Data Management". 1166 - Zsolt István, Soujanya Ponnapalli, Vijay Chidambaram:
Software-Defined Data Protection: Low Overhead Policy Compliance at the Storage Layer is Within Reach! 1167-1174 - Tianyi Li, Lu Chen, Christian S. Jensen, Torben Bach Pedersen:
TRACE: Real-time Compression of Streaming Trajectories in Road Networks. 1175-1187 - Arkaprava Saha, Ruben Brokkelkamp, Yllka Velaj, Arijit Khan, Francesco Bonchi:
Shortest Paths and Centrality in Uncertain Networks. 1188-1201 - Tongyu Liu, Ju Fan, Yinqing Luo, Nan Tang, Guoliang Li, Xiaoyong Du:
Adaptive Data Augmentation for Supervised Learning over Missing Data. 1202-1214 - Fuheng Zhao, Sujaya Maiyya, Ryan Weiner, Divy Agrawal, Amr El Abbadi:
KLL±: Approximate Quantile Sketches over Dynamic Datasets. 1215-1227 - Dimitrije Jankov, Binhang Yuan, Shangyu Luo, Chris Jermaine:
Distributed Numerical and Machine Learning Computations via Two-Phase Execution of Aggregated Join Trees. 1228-1240 - Dana Van Aken, Dongsheng Yang, Sebastien Brillard, Ari Fiorino, Bohan Zhang, Christian Billian, Andrew Pavlo:
An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems. 1241-1253
Volume 14, Number 8, April 2021
- Floris Geerts:
Front Matter. - Nan Tang, Ju Fan, Fangyi Li, Jianhong Tu, Xiaoyong Du, Guoliang Li, Samuel Madden, Mourad Ouzzani:
RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation. 1254-1261 - Jia Zou, Amitabh Das, Pratik Barhate, Arun Iyengar, Binhang Yuan, Dimitrije Jankov, Chris Jermaine:
Lachesis: Automated Partitioning for UDF-Centric Analytics. 1262-1275 - Jiacheng Wu, Yong Zhang, Shimin Chen, Yu Chen, Jin Wang, Chunxiao Xing:
Updatable Learned Index with Precise Positions. 1276-1288 - Ziquan Fang, Lu Pan, Lu Chen, Yuntao Du, Yunjun Gao:
MDTP: A Multi-source Deep Traffic Prediction Framework over Spatio-Temporal Trajectory Data. 1289-1297 - Seunghwan Min, Sung Gwan Park, Kunsoo Park, Dora Giammarresi, Giuseppe F. Italiano, Wook-Shin Han:
Symmetric Continuous Subgraph Matching with Bidirectional Dynamic Programming. 1298-1310 - Tomoya Suzuki, Kazuhiro Hiwada, Hirotsugu Kajihara, Shintaro Sano, Shuou Nomura, Tatsuo Shiozawa:
Approaching DRAM performance by using microsecond-latency flash memory for small-sized random read accesses: a new access method and its graph applications. 1311-1324 - Abdelghny Orogat, Isabelle Liu, Ahmed El-Roby:
CBench: Towards Better Evaluation of Question Answering Over Knowledge Graphs. 1325-1337