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ORCIDProceedings of the VLDB Endowment, Volume 16
Volume 16, Number 1, September 2022
- Georgia Koutrika, Jun Yang:
Front Matter. i-vi
- Jeffrey Helt, Abhinav Sharma, Daniel J. Abadi, Wyatt Lloyd, Jose M. Faleiro:
C5: Cloned Concurrency Control That Always Keeps Up. 1-14 - Ruihong Wang, Jianguo Wang, Stratos Idreos, M. Tamer Özsu, Walid G. Aref:
The Case for Distributed Shared-Memory Databases with RDMA-Enabled Memory Disaggregation. 15-22 - Chenyuan Wu, Mohammad Javad Amiri, Jared Asch, Heena Nagda, Qizhen Zhang, Boon Thau Loo:
FlexChain: An Elastic Disaggregated Blockchain. 23-36 - Zhen Zhang, Shuai Zheng, Yida Wang, Justin Chiu, George Karypis, Trishul Chilimbi, Mu Li, Xin Jin:
MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud. 37-50 - Yi Yang, Yurong Cheng, Ye Yuan, Guoren Wang, Lei Chen, Yongjiao Sun:
Privacy-preserving Cooperative Online Matching over Spatial Crowdsourcing Platforms. 51-63 - Jiayi Wang, Chengliang Chai, Nan Tang, Jiabin Liu, Guoliang Li:
Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning. 64-76 - Zihao Zhang, Huiqi Hu, Xuan Zhou, Jiang Wang:
STARRY: Multi-master Transaction Processing on Semi-leader Architecture. 77-89 - Konstantinos Skitsas, Ioannis G. Papageorgiou, Mohammad Sadegh Talebi, Vasiliki Kantere, Michael N. Katehakis, Panagiotis Karras:
SIFTER: Space-Efficient Value Iteration for Finite-Horizon MDPs. 90-98 - Geoffrey X. Yu, Markos Markakis, Andreas Kipf, Per-Åke Larson, Umar Farooq Minhas, Tim Kraska:
TreeLine: An Update-In-Place Key-Value Store for Modern Storage. 99-112 - Yuchao Tao, Amir Gilad, Ashwin Machanavajjhala, Sudeepa Roy:
DPXPlain: Privately Explaining Aggregate Query Answers. 113-126
Volume 16, Number 2, October 2022
- Georgia Koutrika, Jun Yang:
Front Matter. i-vii - Lijun Chang, Mouyi Xu, Darren Strash:
Efficient Maximum k-Plex Computation over Large Sparse Graphs. 127-139 - Tianxun Hu, Tianzheng Wang, Qingqing Zhou:
Online Schema Evolution is (almost) Free for Snapshot Databases. 140-153 - Yifan Wang, Haodi Ma, Daisy Zhe Wang:
LIDER: An Efficient High-dimensional Learned Index for Large-scale Dense Passage Retrieval. 154-166 - Sina Shaham, Gabriel Ghinita, Cyrus Shahabi:
Models and Mechanisms for Spatial Data Fairness. 167-179 - Shixun Huang, Wenqing Lin, Zhifeng Bao, Jiachen Sun:
Influence Maximization in Real-World Closed Social Networks. 180-192 - Angela Bonifati, Francesco Del Buono, Francesco Guerra, Donato Tiano:
Time2Feat: Learning Interpretable Representations for Multivariate Time Series Clustering. 193-201 - Xiaochen Li, Yuke Hu, Weiran Liu, Hanwen Feng, Li Peng, Yuan Hong, Kui Ren, Zhan Qin:
OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization. 202-215 - R. Malinga Perera, Bastian Oetomo, Benjamin I. P. Rubinstein, Renata Borovica-Gajic:
HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning. 216-229 - Dimitris Palyvos-Giannas, Katerina Tzompanaki, Marina Papatriantafilou, Vincenzo Gulisano:
Erebus: Explaining the Outputs of Data Streaming Queries. 230-242 - Zhou Zhang, Zhaole Chu, Peiquan Jin, Yongping Luo, Xike Xie, Shouhong Wan, Yun Luo, Xufei Wu, Peng Zou, Chunyang Zheng, Guoan Wu, Andy Rudoff:
PLIN: A Persistent Learned Index for Non-Volatile Memory with High Performance and Instant Recovery. 243-255 - Zuozhi Wang, Shengquan Ni, Avinash Kumar, Chen Li:
Fries: Fast and Consistent Runtime Reconfiguration in Dataflow Systems with Transactional Guarantees. 256-268 - Renjie Xiao, Zijing Tan, Haojin Wang, Shuai Ma:
Fast Approximate Denial Constraint Discovery. 269-281 - Haoyu Wang, Shaoxu Song:
Frequency Domain Data Encoding in Apache IoTDB. 282-290 - Jiping Zheng, Yuan Ma, Wei Ma, Yanhao Wang, Xiaoyang Wang:
Happiness Maximizing Sets under Group Fairness Constraints. 291-303 - Cédric Renggli, Xiaozhe Yao, Luka Kolar, Luka Rimanic, Ana Klimovic, Ce Zhang:
SHiFT: An Efficient, Flexible Search Engine for Transfer Learning. 304-316 - Md Mouinul Islam, Dong Wei, Baruch Schieber, Senjuti Basu Roy:
Satisfying Complex Top-k Fairness Constraints by Preference Substitutions. 317-329 - Nikolai Karpov, Qin Zhang:
SyncSignature: A Simple, Efficient, Parallelizable Framework for Tree Similarity Joins. 330-342 - Shuang Yang, Yahui Sun, Jiesong Liu, Xiaokui Xiao, Rong-Hua Li, Zhewei Wei:
Approximating Probabilistic Group Steiner Trees in Graphs. 343-355 - Serafeim Papadias, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Space-Efficient Random Walks on Streaming Graphs. 356-368 - Pengfei Wang, Xiaocan Zeng, Lu Chen, Fan Ye, Yuren Mao, Junhao Zhu, Yunjun Gao:
PromptEM: Prompt-tuning for Low-resource Generalized Entity Matching. 369-378 - Zhihan Guo, Xinyu Zeng, Kan Wu, Wuh-Chwen Hwang, Ziwei Ren, Xiangyao Yu, Mahesh Balakrishnan, Philip A. Bernstein:
Cornus: Atomic Commit for a Cloud DBMS with Storage Disaggregation. 379-392
Volume 16, Number 3, November 2022
- Georgia Koutrika, Jun Yang:
Front Matter. i-vi - Haitao Yuan, Guoliang Li, Zhifeng Bao:
Route Travel Time Estimation on A Road Network Revisited: Heterogeneity, Proximity, Periodicity and Dynamicity. 393-405 - Yongji Wu, Matthew Lentz, Danyang Zhuo, Yao Lu:
Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures. 406-419 - Zixuan Geng, Maximilian Schleich, Dan Suciu:
Computing Rule-Based Explanations by Leveraging Counterfactuals. 420-432 - Jinfeng Peng, Derong Shen, Nan Tang, Tieying Liu, Yue Kou, Tiezheng Nie, Hang Cui, Ge Yu:
Self-supervised and Interpretable Data Cleaning with Sequence Generative Adversarial Networks. 433-446 - Francisco Romero, Johann Hauswald, Aditi Partap, Daniel Kang, Matei Zaharia, Christos Kozyrakis:
Optimizing Video Analytics with Declarative Model Relationships. 447-460 - Jiaxin Jiang, Yuan Li, Bingsheng He, Bryan Hooi, Jia Chen, Johan Kok Zhi Kang:
Spade: A Real-Time Fraud Detection Framework on Evolving Graphs. 461-469 - Xupeng Miao, Yujie Wang, Youhe Jiang, Chunan Shi, Xiaonan Nie, Hailin Zhang, Bin Cui:
Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism. 470-479 - Qitong Wang, Stephen Whitmarsh, Vincent Navarro, Themis Palpanas:
iEDeaL: A Deep Learning Framework for Detecting Highly Imbalanced Interictal Epileptiform Discharges. 480-490 - Eleni Zapridou, Ioannis Mytilinis, Anastasia Ailamaki:
Dalton: Learned Partitioning for Distributed Data Streams. 491-504 - Ali Behrouz, Farnoosh Hashemi, Laks V. S. Lakshmanan:
FirmTruss Community Search in Multilayer Networks. 505-518 - Tianyang Xu, Zhao Lu, Yuanyuan Zhu:
Efficient Triangle-Connected Truss Community Search In Dynamic Graphs. 519-531 - Ibrahim Sabek, Kapil Vaidya, Dominik Horn, Andreas Kipf, Michael Mitzenmacher, Tim Kraska:
Can Learned Models Replace Hash Functions? 532-545 - Yue Zhao, George H. Chen, Zhihao Jia:
TOD: GPU-accelerated Outlier Detection via Tensor Operations. 546-560 - Chaohong Ma, Xiaohui Yu, Yifan Li, Xiaofeng Meng, Aishan Maoliniyazi:
FILM: a Fully Learned Index for Larger-than-Memory Databases. 561-573
Volume 16, Number 4, December 2022
- Georgia Koutrika, Jun Yang:
Front Matter. i-vii - Miti Mazmudar, Thomas Humphries, Jiaxiang Liu, Matthew Rafuse, Xi He:
Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration. 574-586 - Francesca Falzon, Evangelia Anna Markatou, Zachary Espiritu, Roberto Tamassia:
Range Search over Encrypted Multi-Attribute Data. 587-600 - Xuanle Ren, Le Su, Zhen Gu, Sheng Wang, Feifei Li, Yuan Xie, Song Bian, Chao Li, Fan Zhang:
HEDA: Multi-Attribute Unbounded Aggregation over Homomorphically Encrypted Database. 601-614 - Chih-Ya Shen, Shao-Heng Ko, Guang-Siang Lee, Wang-Chien Lee, De-Nian Yang:
Density Personalized Group Query. 615-628 - Jinkun Geng, Anirudh Sivaraman, Balaji Prabhakar, Mendel Rosenblum:
Nezha: Deployable and High-Performance Consensus Using Synchronized Clocks. 629-642 - Ishtiyaque Ahmad, Divyakant Agrawal, Amr El Abbadi, Trinabh Gupta:
Pantheon: Private Retrieval from Public Key-Value Store. 643-656 - Francesco Da Dalt, Simon Scherrer, Adrian Perrig:
Bayesian Sketches for Volume Estimation in Data Streams. 657-669 - Moin Hussain Moti, Panagiotis Simatis, Dimitris Papadias:
Waffle: A Workload-Aware and Query-Sensitive Framework for Disk-Based Spatial Indexing. 670-683 - Eduardo H. M. Pena, Fábio Porto, Felix Naumann:
Fast Algorithms for Denial Constraint Discovery. 684-696 - Pu Jiao, Sheng Di, Hanqi Guo, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello:
Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data. 697-710 - Gunduz Vehbi Demirci, Aparajita Haldar, Hakan Ferhatosmanoglu:
Scalable Graph Convolutional Network Training on Distributed-Memory Systems. 711-724 - Patrick Schäfer, Ulf Leser:
Motiflets - Simple and Accurate Detection of Motifs in Time Series. 725-737 - Avanika Narayan, Ines Chami, Laurel J. Orr, Christopher Ré:
Can Foundation Models Wrangle Your Data? 738-746 - Bogyeong Kim, Kyoseung Koo, Undraa Enkhbat, Sohyun Kim, Juhun Kim, Bongki Moon:
M2Bench: A Database Benchmark for Multi-Model Analytic Workloads. 747-759 - Nirvik Baruah, Peter Kraft, Fiodar Kazhamiaka, Peter Bailis, Matei Zaharia:
Parallelism-Optimizing Data Placement for Faster Data-Parallel Computations. 760-771 - Teddy Lazebnik, Amit Somech, Abraham Itzhak Weinberg:
SubStrat: A Subset-Based Optimization Strategy for Faster AutoML. 772-780 - Saket Gurukar, Nikil Pancha, Andrew Zhai, Eric Kim, Samson Hu, Srinivasan Parthasarathy, Charles Rosenberg, Jure Leskovec:
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest. 781-789 - Alexandros Zeakis, Dimitrios Skoutas, Dimitris Sacharidis, Odysseas Papapetrou, Manolis Koubarakis:
TokenJoin: Efficient Filtering for Set Similarity Join with Maximum Weighted Bipartite Matching. 790-802 - Moe Kayali, Dan Suciu:
Quasi-stable Coloring for Graph Compression: Approximating Max-Flow, Linear Programs, and Centrality. 803-815 - David Pujol, Albert Sun, Brandon Fain, Ashwin Machanavajjhala:
Multi-Analyst Differential Privacy for Online Query Answering. 816-828 - Tim Gubner, Peter A. Boncz:
Excalibur: A Virtual Machine for Adaptive Fine-grained JIT-Compiled Query Execution based on VOILA. 829-841 - Lianke Qin, Rajesh Jayaram, Elaine Shi, Zhao Song, Danyang Zhuo, Shumo Chu:
Differentially Oblivious Relational Database Operators. 842-855 - Shadaj Laddad, Conor Power, Mae Milano, Alvin Cheung, Natacha Crooks, Joseph M. Hellerstein:
Keep CALM and CRDT On. 856-863 - Kejing Lu, Yoshiharu Ishikawa, Chuan Xiao:
MQH: Locality Sensitive Hashing on Multi-level Quantization Errors for Point-to-Hyperplane Distances. 864-876 - Gábor Szárnyas, Jack Waudby, Benjamin A. Steer, Dávid Szakállas, Altan Birler, Mingxi Wu, Yuchen Zhang, Peter A. Boncz:
The LDBC Social Network Benchmark: Business Intelligence Workload. 877-890 - Shuai An, Yang Cao:
Making Cache Monotonic and Consistent. 891-904 - Ziyun Wei, Immanuel Trummer:
SkinnerMT: Parallelizing for Efficiency and Robustness in Adaptive Query Processing on Multicore Platforms. 905-917 - Dujian Ding, Sihem Amer-Yahia, Laks V. S. Lakshmanan:
On Efficient Approximate Queries over Machine Learning Models. 918-931 - Aamod Khatiwada, Roee Shraga, Wolfgang Gatterbauer, Renée J. Miller:
Integrating Data Lake Tables. 932-945 - Hongbo Kang, Yiwei Zhao, Guy E. Blelloch, Laxman Dhulipala, Yan Gu, Charles McGuffey, Phillip B. Gibbons:
PIM-tree: A Skew-resistant Index for Processing-in-Memory. 946-958 - Zhijia Chen, Weiyi Meng, Eduard C. Dragut:
Web Record Extraction with Invariants. 959-972 - Yong Wang, Guoliang Li, Kaiyu Li, Haitao Yuan:
A Deep Generative Model for Trajectory Modeling and Utilization. 973-985 - Zihuan Xu, Lei Chen:
L2chain: Towards High-performance, Confidential and Secure Layer-2 Blockchain Solution for Decentralized Applications. 986-999
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