ICDE - RankMe – RankMe

242 papers

Year	Title / Authors
2020	36th IEEE International Conference on Data Engineering, ICDE 2020, Dallas, TX, USA, April 20-24, 2020
2020	A Class of R*-tree Indexes for Spatial-Visual Search of Geo-tagged Street Images. Abdullah Alfarrarjeh, Seon Ho Kim, Vinuta Hegde, Akshansh, Cyrus Shahabi, Qingyun Xie, Siva Ravada
2020	A Hybrid Learning Approach to Stochastic Routing. Simon Aagaard Pedersen, Bin Yang, Christian S. Jensen
2020	A Natural Language Interface for Database: Achieving Transfer-learnability Using Adversarial Method for Question Understanding. Wenlu Wang, Yingtao Tian, Haixun Wang, Wei-Shinn Ku
2020	A Novel Approach to Learning Consensus and Complementary Information for Multi-View Data Clustering. Khanh Luong, Richi Nayak
2020	A Transformation-based Framework for KNN Set Similarity Search(Extended Abstract). Yong Zhang, Jiacheng Wu, Jin Wang, Chunxiao Xing
2020	A Unified Framework for Multi-view Spectral Clustering. Guo Zhong, Chi-Man Pun
2020	APTrace: A Responsive System for Agile Enterprise Level Causality Analysis. Jiaping Gui, Ding Li, Zhengzhang Chen, Junghwan Rhee, Xusheng Xiao, Mu Zhang, Kangkook Jee, Zhichun Li, Haifeng Chen
2020	Active Model Selection for Positive Unlabeled Time Series Classification. Shen Liang, Yanchun Zhang, Jiangang Ma
2020	Adaptive Network Alignment with Unsupervised and Multi-order Convolutional Networks. Thanh Trung Huynh, Van Vinh Tong, Thanh Tam Nguyen, Hongzhi Yin, Matthias Weidlich, Nguyen Quoc Viet Hung
2020	Adaptive Relation Discovery from Focusing Seeds on Large Networks. Zhuo Wang, Chaokun Wang, Weiping Wang, Xiaoyan Gu, Bo Li, Dan Meng
2020	Adaptive Top-k Overlap Set Similarity Joins. Zhong Yang, Bolong Zheng, Guohui Li, Xi Zhao, Xiaofang Zhou, Christian S. Jensen
2020	Advances in Cryptography and Secure Hardware for Data Outsourcing. Shantanu Sharma, Anton Burtsev, Sharad Mehrotra
2020	An Adaptive Master-Slave Regularized Model for Unexpected Revenue Prediction Enhanced with Alternative Data. Jin Xu, Jingbo Zhou, Yongpo Jia, Jian Li, Hui Xiong
2020	An Agile Sample Maintenance Approach for Agile Analytics. Hanbing Zhang, Yazhong Zhang, Zhenying He, Yinan Jing, Kai Zhang, X. Sean Wang
2020	An Anomaly Detection System for the Protection of Relational Database Systems against Data Leakage by Application Programs. Daren Fadolalkarim, Elisa Bertino, Asmaa Sallam
2020	An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms. Caihua Shan, Nikos Mamoulis, Reynold Cheng, Guoliang Li, Xiang Li, Yuqiu Qian
2020	An Intersectional Definition of Fairness. James R. Foulds, Rashidul Islam, Kamrun Naher Keya, Shimei Pan
2020	An Interval-centric Model for Distributed Computing over Temporal Graphs. Swapnil Gandhi, Yogesh Simmhan
2020	Anchored Vertex Exploration for Community Engagement in Social Networks. Taotao Cai, Jianxin Li, Nur Al Hasan Haldar, Ajmal Mian, John Yearwood, Timos Sellis
2020	Answering Skyline Queries over Incomplete Data with Crowdsourcing(Extended Abstract). Xiaoye Miao, Yunjun Gao, Su Guo, Lu Chen, Jianwei Yin, Qing Li
2020	Approximate Quantiles for Datacenter Telemetry Monitoring. Gangmuk Lim, Mohamed S. Hassan, Ze Jin, Stavros Volos, Myeongjae Jeon
2020	Approximate Query Processing for Data Exploration using Deep Generative Models. Saravanan Thirumuruganathan, Shohedul Hasan, Nick Koudas, Gautam Das
2020	Area Queries Based on Voronoi Diagrams. Yang Li, Gang Liu
2020	Array-based Data Management for Genomics. Olha Horlova, Abdulrahman Kaitoua, Stefano Ceri
2020	Auto-Model: Utilizing Research Papers and HPO Techniques to Deal with the CASH problem. Chunnan Wang, Hongzhi Wang, Tianyu Mu, Jianzhong Li, Hong Gao
2020	AutoSF: Searching Scoring Functions for Knowledge Graph Embedding. Yongqi Zhang, Quanming Yao, Wenyuan Dai, Lei Chen
2020	Automated Anomaly Detection in Large Sequences. Paul Boniol, Michele Linardi, Federico Roncallo, Themis Palpanas
2020	Automatic Calibration of Road Intersection Topology using Trajectories. Lisheng Zhao, Jiali Mao, Min Pu, Guoping Liu, Cheqing Jin, Weining Qian, Aoying Zhou, Xiang Wen, Runbo Hu, Hua Chai
2020	Automatic View Generation with Deep Learning and Reinforcement Learning. Haitao Yuan, Guoliang Li, Ling Feng, Ji Sun, Yue Han
2020	Automating Software Citation using GitCite. Leshang Chen, Susan B. Davidson
2020	BFT-Store: Storage Partition for Permissioned Blockchain via Erasure Coding. Xiaodong Qi, Zhao Zhang, Cheqing Jin, Aoying Zhou
2020	Being Happy with the Least: Achieving α-happiness with Minimum Number of Tuples. Min Xie, Raymond Chi-Wing Wong, Peng Peng, Vassilis J. Tsotras
2020	Billion-scale Recommendation with Heterogeneous Side Information at Taobao. Andreas Pfadler, Huan Zhao, Jizhe Wang, Lifeng Wang, Pipei Huang, Dik Lun Lee
2020	C olumnSGD: A Column-oriented Framework for Distributed Stochastic Gradient Descent. Zhipeng Zhang, Wentao Wu, Jiawei Jiang, Lele Yu, Bin Cui, Ce Zhang
2020	CSQ System: A System to Support Constrained Skyline Queries on Transportation Networks. Qixu Gong, Jiefei Liu, Huiping Cao
2020	ChainLink: Indexing Big Time Series Data For Long Subsequence Matching. Noura Alghamdi, Liang Zhang, Huayi Zhang, Elke A. Rundensteiner, Mohamed Y. Eltabakh
2020	ChronoGraph: Enabling temporal graph traversals for efficient information diffusion analysis over time. Jaewook Byun, Sungpil Woo, Daeyoung Kim
2020	Collective Entity Alignment via Adaptive Features. Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xuemin Lin
2020	Comprehensive and Efficient Data Labeling via Adaptive Model Scheduling. Mu Yuan, Lan Zhang, Xiang-Yang Li, Hui Xiong
2020	Computing Mutual Information of Big Categorical Data and Its Application to Feature Grouping. Junli Li, Chaowei Zhang, Jifu Zhang, Xiao Qin
2020	Continuously Tracking Core Items in Data Streams with Probabilistic Decays. Junzhou Zhao, Pinghui Wang, Jing Tao, Shuo Zhang, John C. S. Lui
2020	Contribution Maximization in Probabilistic Datalog. Tova Milo, Yuval Moskovitch, Brit Youngmann
2020	Cool, a COhort OnLine analytical processing system. Zhongle Xie, Hongbin Ying, Cong Yue, Meihui Zhang, Gang Chen, Beng Chin Ooi
2020	CrashSim: An Efficient Algorithm for Computing SimRank over Static and Temporal Graphs. Mo Li, Farhana Murtaza Choudhury, Renata Borovica-Gajic, Zhiqiong Wang, Junchang Xin, Jianxin Li
2020	Cross-Graph Convolution Learning for Large-Scale Text-Picture Shopping Guide in E-Commerce Search. Tong Zhang, Baoliang Cui, Zhen Cui, Haikuan Huang, Jian Yang, Hongbo Deng, Bo Zheng
2020	Crowdsourced Collective Entity Resolution with Relational Match Propagation. Jiacheng Huang, Wei Hu, Zhifeng Bao, Yuzhong Qu
2020	Crowdsourcing-based Data Extraction from Visualization Charts. Chengliang Chai, Guoliang Li, Ju Fan, Yuyu Luo
2020	Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach. Chi Harold Liu, Yinuo Zhao, Zipeng Dai, Ye Yuan, Guoren Wang, Dapeng Wu, Kin K. Leung
2020	D-Tucker: Fast and Memory-Efficient Tucker Decomposition for Dense Tensors. Jun-Gi Jang, U Kang
2020	DAG: A General Model for Privacy-Preserving Data Mining : (Extended Abstract). Sin G. Teo, Jianneng Cao, Vincent C. S. Lee
2020	DCDT: A Digital Clock Drawing Test System for Cognitive Impairment Screening. Feiyang Xu, Yue Ding, Zhenhua Ling, Xin Li, Yunxia Li, Shijin Wang
2020	DLEEL: Multi-Predicate Spatial Queries on User-generated Streaming Data. Abdulaziz Almaslukh, Laila Abdelhafeez, Amr Magdy
2020	Data Sentinel: A Declarative Production-Scale Data Validation Platform. Arun Swami, Sriram Vasudevan, Joojay Huyn
2020	Data Series Indexing Gone Parallel. Botao Peng
2020	Dataset Discovery in Data Lakes. Alex Bogatu, Alvaro A. A. Fernandes, Norman W. Paton, Nikolaos Konstantinou
2020	De-Health: All Your Online Health Information Are Belong to Us. Shouling Ji, Qinchen Gu, Haiqin Weng, Qianjun Liu, Pan Zhou, Jing Chen, Zhao Li, Raheem Beyah, Ting Wang
2020	Deciding When to Trade Data Freshness for Performance in MongoDB-as-a-Service. Chenhao Huang, Michael J. Cahill, Alan D. Fekete, Uwe Röhm
2020	Demythization of Structural XML Query Processing: Comparison of Holistic and Binary Approaches (Extended Abstract). Petr Lukás, Radim Baca, Michal Krátký, Tok Wang Ling
2020	Design of Database Systems with DRAM-only Heterogeneous Memory Architecture. Yifan Qiao
2020	Differentially Private Online Task Assignment in Spatial Crowdsourcing: A Tree-based Approach. Qian Tao, Yongxin Tong, Zimu Zhou, Yexuan Shi, Lei Chen, Ke Xu
2020	Discovering Band Order Dependencies. Pei Li, Jaroslaw Szlichta, Michael H. Böhlen, Divesh Srivastava
2020	Distributed Streaming Set Similarity Join. Jianye Yang, Wenjie Zhang, Xiang Wang, Ying Zhang, Xuemin Lin
2020	Doubleheader Logging: Eliminating Journal Write Overhead for Mobile DBMS. Sehyeon Oh, Wook-Hee Kim, Jihye Seo, Hyeonho Song, Sam H. Noh, Beomseok Nam
2020	DynaMast: Adaptive Dynamic Mastering for Replicated Systems. Michael Abebe, Brad Glasbergen, Khuzaima Daudjee
2020	ESPM: Efficient Spatial Pattern Matching (Extended Abstract). Hongmei Chen, Yixiang Fang, Ying Zhang, Wenjie Zhang, Lizhen Wang
2020	Effective and Efficient Truss Computation over Large Heterogeneous Information Networks. Yixing Yang, Yixiang Fang, Xuemin Lin, Wenjie Zhang
2020	Efficient Approximation Algorithms for Adaptive Target Profit Maximization. Keke Huang, Jing Tang, Xiaokui Xiao, Aixin Sun, Andrew Lim
2020	Efficient Attribute-Constrained Co-Located Community Search. Jiehuan Luo, Xin Cao, Xike Xie, Qiang Qu, Zhiqiang Xu, Christian S. Jensen
2020	Efficient Bidirectional Order Dependency Discovery. Yifeng Jin, Lin Zhu, Zijing Tan
2020	Efficient Bitruss Decomposition for Large-scale Bipartite Graphs. Kai Wang, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang
2020	Efficient Distance Sensitivity Oracles for Real-World Graph Data. Jong-Ryul Lee, Chin-Wan Chung
2020	Efficient Diversity-Driven Ensemble for Deep Neural Networks. Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui
2020	Efficient Entity Resolution on Heterogeneous Records (Extended abstract). Yiming Lin, Hongzhi Wang, Jianzhong Li, Hong Gao
2020	Efficient Locality-Sensitive Hashing Over High-Dimensional Data Streams. Chengcheng Yang, Dong Deng, Shuo Shang, Ling Shao
2020	Efficient Query Processing with Optimistically Compressed Hash Tables & Strings in the USSR. Tim Gubner, Viktor Leis, Peter Boncz
2020	Efficient Structural Clustering in Large Uncertain Graphs. Yongjiang Liang, Tingting Hu, Peixiang Zhao
2020	Efficient Team Formation in Social Networks based on Constrained Pattern Graph. Yue Kou, Derong Shen, Quinn Snell, Dong Li, Tiezheng Nie, Ge Yu, Shuai Ma
2020	Efficient Top-k Edge Structural Diversity Search. Qi Zhang, Rong-Hua Li, Qixuan Yang, Guoren Wang, Lu Qin
2020	Efficient Weighted Independent Set Computation over Large Graphs. Weiguo Zheng, Jiewei Gu, Peng Peng, Jeffrey Xu Yu
2020	Efficiently Answering Span-Reachability Queries in Large Temporal Graphs. Dong Wen, Yilun Huang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin
2020	Enabling Efficient Random Access to Hierarchically-Compressed Data. Feng Zhang, Jidong Zhai, Xipeng Shen, Onur Mutlu, Xiaoyong Du
2020	Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution. Zicun Cong, Lingyang Chu, Lanjun Wang, Xia Hu, Jian Pei
2020	Exploring Finer Granularity within the Cores: Efficient (k, p)-Core Computation. Chen Zhang, Fan Zhang, Wenjie Zhang, Boge Liu, Ying Zhang, Lu Qin, Xuemin Lin
2020	FESIA: A Fast and SIMD-Efficient Set Intersection Approach on Modern CPUs. Jiyuan Zhang, Yi Lu, Daniele G. Spampinato, Franz Franchetti
2020	FPGA-based Compaction Engine for Accelerating LSM-tree Key-Value Stores. Xuan Sun, Jinghuan Yu, Zimeng Zhou, Chun Jason Xue
2020	FakeDetector: Effective Fake News Detection with Deep Diffusive Neural Network. Jiawei Zhang, Bowen Dong, Philip S. Yu
2020	Fast Error-tolerant Location-aware Query Autocompletion. Jin Wang, Chunbin Lin
2020	Fast Query Decomposition for Batch Shortest Path Processing in Road Networks. Lei Li, Mengxuan Zhang, Wen Hua, Xiaofang Zhou
2020	Fela: Incorporating Flexible Parallelism and Elastic Tuning to Accelerate Large-Scale DML. Jinkun Geng, Dan Li, Shuai Wang
2020	Finding the Best k in Core Decomposition: A Time and Space Optimal Solution. Deming Chu, Fan Zhang, Xuemin Lin, Wenjie Zhang, Ying Zhang, Yinglong Xia, Chenyi Zhang
2020	FlashSchema: Achieving High Quality XML Schemas with Powerful Inference Algorithms and Large-scale Schema Data. Yeting Li, Jialun Cao, Haiming Chen, Tingjian Ge, Zhiwu Xu, Qiancheng Peng
2020	ForkBase: Immutable, Tamper-evident Storage Substrate for Branchable Applications. Qian Lin, Kaiyuan Yang, Tien Tuan Anh Dinh, Qingchao Cai, Gang Chen, Beng Chin Ooi, Pingcheng Ruan, Sheng Wang, Zhongle Xie, Meihui Zhang, Olafs Vandans
2020	G-thinker: A Distributed Framework for Mining Subgraphs in a Big Graph. Da Yan, Guimu Guo, Md Mashiur Rahman Chowdhury, M. Tamer Özsu, Wei-Shinn Ku, John C. S. Lui
2020	GSI: GPU-friendly Subgraph Isomorphism. Li Zeng, Lei Zou, M. Tamer Özsu, Lin Hu, Fan Zhang
2020	Getting Swole: Generating Access-Aware Code with Predicate Pullups. Andrew Crotty, Alex Galakatos, Tim Kraska
2020	Graph Embeddings for One-pass Processing of Heterogeneous Queries. Chi Thang Duong, Hongzhi Yin, Dung Hoang, Minn Hung Nguyen, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer
2020	GraphAE: Adaptive Embedding across Graphs. Bencheng Yan, Chaokun Wang
2020	Group Recommendation with Latent Voting Mechanism. Lei Guo, Hongzhi Yin, Qinyong Wang, Bin Cui, Zi Huang, Lizhen Cui
2020	HBP: Hotness Balanced Partition for Prioritized Iterative Graph Computations. Shufeng Gong, Yanfeng Zhang, Ge Yu
2020	Hierarchical Bipartite Graph Neural Networks: Towards Large-Scale E-commerce Applications. Zhao Li, Xin Shen, Yuhang Jiao, Xuming Pan, Pengcheng Zou, Xianling Meng, Chengwei Yao, Jiajun Bu
2020	Hierarchical Quick Shift Guided Recurrent Clustering. Muzaffer Can Altinigneli, Lukas Miklautz, Christian Böhm, Claudia Plant
2020	HisRect: Features from Historical Visits and Recent Tweet for Co-Location Judgement. Pengfei Li, Hua Lu, Qian Zheng, Shijian Li, Gang Pan
2020	HomoPAI: A Secure Collaborative Machine Learning Platform based on Homomorphic Encryption. Qifei Li, Zhicong Huang, Wen-jie Lu, Cheng Hong, Hunter Qu, Hui He, Weizhe Zhang
2020	HowSim: A General and Effective Similarity Measure on Heterogeneous Information Networks. Yue Wang, Zhe Wang, Ziyuan Zhao, Zijian Li, Xun Jian, Lei Chen, Jianchun Song
2020	I/O Efficient Approximate Nearest Neighbour Search based on Learned Functions. Mingjie Li, Ying Zhang, Yifang Sun, Wei Wang, Ivor W. Tsang, Xuemin Lin
2020	Implementation of physiological signal based emotion recognition algorithm. Cynthia Joesph, A. Rajeswari, B. Premalatha, C. Balapriya
2020	Improved Correlated Sampling for Join Size Estimation. Taining Wang, Chee-Yong Chan
2020	Improving Neural Relation Extraction with Implicit Mutual Relations. Jun Kuang, Yixin Cao, Jianbing Zheng, Xiangnan He, Ming Gao, Aoying Zhou
2020	In-database connected component analysis. Harald Bögeholz, Michael Brand, Radu-Alexandru Todor
2020	Index-Free Approach with Theoretical Guarantee for Efficient Random Walk with Restart Query. Dandan Lin, Raymond Chi-Wing Wong, Min Xie, Victor Junqiu Wei
2020	Indoor Mobility Semantics Annotation Using Coupled Conditional Markov Networks. Huan Li, Hua Lu, Muhammad Aamir Cheema, Lidan Shou, Gang Chen
2020	Indoor Top-k Keyword-aware Routing Query. Zijin Feng, Tiantian Liu, Huan Li, Hua Lu, Lidan Shou, Jianliang Xu
2020	Interactive Cleaning for Progressive Visualization through Composite Questions. Yuyu Luo, Chengliang Chai, Xuedi Qin, Nan Tang, Guoliang Li
2020	InvaliDB: Scalable Push-Based Real-Time Queries on Top of Pull-Based Databases. Wolfram Wingerath, Felix Gessert, Norbert Ritter
2020	JODA: A Vertically Scalable, Lightweight JSON Processor for Big Data Transformations. Nico Schäfer, Sebastian Michel
2020	JUST: JD Urban Spatio-Temporal Data Engine. Ruiyuan Li, Huajun He, Rubin Wang, Yuchuan Huang, Junwen Liu, Sijie Ruan, Tianfu He, Jie Bao, Yu Zheng
2020	K-SPIN: Efficiently Processing Spatial Keyword Queries on Road Networks : (Extended Abstract). Tenindra Abeywickrama, Muhammad Aamir Cheema, Arijit Khan
2020	Kaleido: An Efficient Out-of-core Graph Mining System on A Single Machine. Cheng Zhao, Zhibin Zhang, Peng Xu, Tianqi Zheng, Jiafeng Guo
2020	Kaskade: Graph Views for Efficient Graph Analytics. Joana M. F. da Trindade, Konstantinos Karanasos, Carlo Curino, Samuel Madden, Julian Shun
2020	Keys as Features for Graph Entity Matching. Ting Deng, Lei Hou, Ziyan Han
2020	Kronos: Lightweight Knowledge-based Event Analysis in Cyber-Physical Data Streams. Mohammad Hossein Namaki, Xin Zhang, Sukhjinder Singh, Arman Ahmed, Armina Foroutan, Yinghui Wu, Anurag K. Srivastava, Anton Kocheturov
2020	Latte: A Native Table Engine On Nvme Storage. Jiajia Chu, Yunshan Tu, Yao Zhang, Chuliang Weng
2020	Learning to Rank Paths in Spatial Networks. Sean Bin Yang, Bin Yang
2020	Learning to Simulate Vehicle Trajectories from Demonstrations. Guanjie Zheng, Hanyang Liu, Kai Xu, Zhenhui Li
2020	LoCEC: Local Community-based Edge Classification in Large Online Social Networks. Chonggang Song, Qian Lin, Guohui Ling, Zongyi Zhang, Hongzhao Chen, Jun Liao, Chuan Chen
2020	Load Shedding for Complex Event Processing: Input-based and State-based Techniques. Bo Zhao, Nguyen Quoc Viet Hung, Matthias Weidlich
2020	Low-Latency Communication for Fast DBMS Using RDMA and Shared Memory. Philipp Fent, Alexander van Renen, Andreas Kipf, Viktor Leis, Thomas Neumann, Alfons Kemper
2020	MC-Explorer: Analyzing and Visualizing Motif-Cliques on Large Networks. Boxuan Li, Reynold Cheng, Jiafeng Hu, Yixiang Fang, Min Ou, Ruibang Luo, Kevin Chen-Chuan Chang, Xuemin Lin
2020	MESSI: In-Memory Data Series Indexing. Botao Peng, Panagiota Fatourou, Themis Palpanas
2020	ML-based Cross-Platform Query Optimization. Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Bertty Contreras-Rojas, Rodrigo Pardo-Meza, Anis Troudi, Sanjay Chawla
2020	Machine Learning Meets Big Spatial Data. Ibrahim Sabek, Mohamed F. Mokbel
2020	Massively-Parallel Change Detection for Satellite Time Series Data with Missing Values. Fabian Gieseke, Sabina Rosca, Troels Henriksen, Jan Verbesselt, Cosmin E. Oancea
2020	Matrix Factorization with Interval-Valued Data. Mao-Lin Li, Francesco Di Mauro, K. Selçuk Candan, Maria Luisa Sapino
2020	Matrix Profile XVII: Indexing the Matrix Profile to Allow Arbitrary Range Queries. Yan Zhu, Chin-Chia Michael Yeh, Zachary Zimmerman, Eamonn J. Keogh
2020	Maxson: Reduce Duplicate Parsing Overhead on Raw Data. Xuanhua Shi, Yipeng Zhang, Hong Huang, Zhenyu Hu, Hai Jin, Huan Shen, Yongluan Zhou, Bingsheng He, Ruibo Li, Keyong Zhou
2020	Mining Verb-Oriented Commonsense Knowledge. Jingping Liu, Yuanfu Zhou, Dan Wu, Chao Wang, Haiyun Jiang, Sheng Zhang, Bo Xu, Yanghua Xiao
2020	Mobility-Aware Dynamic Taxi Ridesharing. Zhidan Liu, Zengyang Gong, Jiangzhou Li, Kaishun Wu
2020	Modern Large-Scale Data Management Systems after 40 Years of Consensus. Mohammad Javad Amiri, Divyakant Agrawal, Amr El Abbadi
2020	Multiple Dense Subtensor Estimation with High Density Guarantee. Quang-Huy Duong, Heri Ramampiaro, Kjetil Nørvåg
2020	Multiscale Frequent Co-movement Pattern Mining. Shahab Helmi, Farnoush Banaei Kashani
2020	MusX: Online Exploring and Visualizing Graph-Based Musical Adaptations. François Lévesque, Marielle St-Germain, Dominique Piché, Jean-François Gauvin, Michel Gagnon, Thomas Hurtut
2020	Neighbor Profile: Bagging Nearest Neighbors for Unsupervised Time Series Mining. Yuanduo He, Xu Chu, Yasha Wang
2020	Neighborhood density correlation clustering. Zhenggang Wang, Liu Zhong
2020	On Nearby-Fit Spatial Keyword Queries (Extended Abstract). Victor Junqiu Wei, Raymond Chi-Wing Wong, Cheng Long, Pan Hui
2020	On Sharding Open Blockchains with Smart Contracts. Yuechen Tao, Bo Li, Jingjie Jiang, Hok Chu Ng, Cong Wang, Baochun Li
2020	On the Integration of Machine Learning and Array Databases. Sebastián Villarroya, Peter Baumann
2020	One-sided Differential Privacy. Ios Kotsogiannis, Stelios Doudalis, Samuel Haney, Ashwin Machanavajjhala, Sharad Mehrotra
2020	Online Anomalous Trajectory Detection with Deep Generative Sequence Modeling. Yiding Liu, Kaiqi Zhao, Gao Cong, Zhifeng Bao
2020	Online Indices for Predictive Top-k Entity and Aggregate Queries on Knowledge Graphs. Yan Li, Tingjian Ge, Cindy X. Chen
2020	Online Pricing with Reserve Price Constraint for Personal Data Markets. Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Guihai Chen
2020	Online Trichromatic Pickup and Delivery Scheduling in Spatial Crowdsourcing. Bolong Zheng, Chenze Huang, Christian S. Jensen, Lu Chen, Nguyen Quoc Viet Hung, Guanfeng Liu, Guohui Li, Kai Zheng
2020	Optimization of GPU-based Sparse Matrix Multiplication for Large Sparse Networks. Jeongmyung Lee, Seokwon Kang, Yongseung Yu, Yong-Yeon Jo, Sang-Wook Kim, Yongjun Park
2020	Optimizing Knowledge Graphs through Voting-based User Feedback. Ruida Yang, Xin Lin, Jianliang Xu, Yan Yang, Liang He
2020	Oracle Database In-Memory on Active Data Guard: Real-time Analytics on a Standby Database. Sukhada Pendse, Vasudha Krishnaswamy, Kartik Kulkarni, Yunrui Li, Tirthankar Lahiri, Vivekanandhan Raja, Jing Zheng, Mahesh Girkar, Akshay Kulkarni
2020	Outdated Fact Detection in Knowledge Bases. Shuang Hao, Chengliang Chai, Guoliang Li, Nan Tang, Ning Wang, Xiang Yu
2020	PA-Tree: Polled-Mode Asynchronous B+ Tree for NVMe. Li Wang, Zining Zhang, Bingsheng He, Zhenjie Zhang
2020	PPKWS: An Efficient Framework for Keyword Search on Public-Private Networks. Jiaxin Jiang, Xin Huang, Byron Choi, Jianliang Xu, Sourav S. Bhowmick, Lyu Xu
2020	PSGraph: How Tencent trains extremely large-scale graphs with Spark? Jiawei Jiang, Pin Xiao, Lele Yu, Xiaosen Li, Jiefeng Cheng, Xupeng Miao, Zhipeng Zhang, Bin Cui
2020	Parallel Semantic Trajectory Similarity Join. Lisi Chen, Shuo Shang, Christian S. Jensen, Bin Yao, Panos Kalnis
2020	Permutation Index: Exploiting Data Skew for Improved Query Performance. Wangda Zhang, Kenneth A. Ross
2020	Picube for Fast Exploration of Large Datasets. Wenxiao Fu
2020	PocketView: A Concise and Informative Data Summarizer. Yihai Xi, Ning Wang, Shuang Hao, Wenyang Yang, Li Li
2020	PoisonRec: An Adaptive Data Poisoning Framework for Attacking Black-box Recommender Systems. Junshuai Song, Zhao Li, Zehong Hu, Yucheng Wu, Zhenpeng Li, Jian Li, Jun Gao
2020	Practical Anonymous Subscription with Revocation Based on Broadcast Encryption. Xun Yi, Russell Paulet, Elisa Bertino, Fang-Yu Rao
2020	Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network. Hongzhi Shi, Quanming Yao, Qi Guo, Yaguang Li, Lingyu Zhang, Jieping Ye, Yong Li, Yan Liu
2020	Predictive Task Assignment in Spatial Crowdsourcing: A Data-driven Approach. Yan Zhao, Kai Zheng, Yue Cui, Han Su, Feida Zhu, Xiaofang Zhou
2020	PrefixFPM: A Parallel Framework for General-Purpose Frequent Pattern Mining. Da Yan, Wenwen Qu, Guimu Guo, Xiaoling Wang
2020	Preserving Contextual Information in Relational Matrix Operations. Oksana Dolmatova, Nikolaus Augsten, Michael H. Böhlen
2020	Price-aware Recommendation with Graph Convolutional Networks. Yu Zheng, Chen Gao, Xiangnan He, Yong Li, Depeng Jin
2020	Privacy-preserving Real-time Anomaly Detection Using Edge Computing. Shagufta Mehnaz, Elisa Bertino
2020	Providing Input-Discriminative Protection for Local Differential Privacy. Xiaolan Gu, Ming Li, Li Xiong, Yang Cao
2020	PushdownDB: Accelerating a DBMS Using S3 Computation. Xiangyao Yu, Matt Youill, Matthew E. Woicik, Abdurrahman Ghanem, Marco Serafini, Ashraf Aboulnaga, Michael Stonebraker
2020	Query Results over Ongoing Databases that Remain Valid as Time Passes By. Yvonne Mülle, Michael H. Böhlen
2020	Query-driven Repair of Functional Dependency Violations. Stella Giannakopoulou, Manos Karpathiotakis, Anastasia Ailamaki
2020	Querying Streaming System Monitoring Data for Enterprise System Anomaly Detection. Peng Gao, Xusheng Xiao, Ding Li, Kangkook Jee, Haifeng Chen, Sanjeev R. Kulkarni, Prateek Mittal
2020	R2LSH: A Nearest Neighbor Search Scheme Based on Two-dimensional Projected Spaces. Kejing Lu, Mineichi Kudo
2020	RIDE: A System for Generalized Region of Interest Discovery and Exploration. Qiyu Liu, Libin Zheng, Lei Chen
2020	Random Sampling for Group-By Queries. Trong Duc Nguyen, Ming-Hung Shih, Sai Sree Parvathaneni, Bojian Xu, Divesh Srivastava, Srikanta Tirthapura
2020	Real-Time Cross Online Matching in Spatial Crowdsourcing. Yurong Cheng, Boyang Li, Xiangmin Zhou, Ye Yuan, Guoren Wang, Lei Chen
2020	Reasoning about the Future in Blockchain Databases. Sara Cohen, Adam Rosenthal, Aviv Zohar
2020	Reinforcement Learning with Tree-LSTM for Join Order Selection. Xiang Yu, Guoliang Li, Chengliang Chai, Nan Tang
2020	Repairing Entities using Star Constraints in Multirelational Graphs. Peng Lin, Qi Song, Yinghui Wu, Jiaxing Pi
2020	SAD: An Unsupervised System for Subsequence Anomaly Detection. Paul Boniol, Michele Linardi, Federico Roncallo, Themis Palpanas
2020	SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks. Qitao Shi, Ya-Lin Zhang, Longfei Li, Xinxing Yang, Meng Li, Jun Zhou
2020	SAN : Scale-Space Attention Networks. Yash Garg, K. Selçuk Candan, Maria Luisa Sapino
2020	SCLPD: Smart Cargo Loading Plan Decision Framework. Jiaye Liu, Jiali Mao, Jiajun Liao, Huiqi Hu, Ye Guo, Aoying Zhou
2020	SFour: A Protocol for Cryptographically Secure Record Linkage at Scale. Basit Khurram, Florian Kerschbaum
2020	SLED: Semi-supervised Locally-weighted Ensemble Detector. Shuxiang Zhang, David Tse Jung Huang, Gillian Dobbie, Yun Sing Koh
2020	SONG: Approximate Nearest Neighbor Search on GPU. Weijie Zhao, Shulong Tan, Ping Li
2020	SPEAr: Expediting Stream Processing with Accuracy Guarantees. Nikos R. Katsipoulakis, Alexandros Labrinidis, Panos K. Chrysanthis
2020	SUDAF: Sharing User-Defined Aggregate Functions. Chao Zhang, Farouk Toumani, Bastien Doreau
2020	SVkNN: Efficient Secure and Verifiable k-Nearest Neighbor Query on the Cloud Platform Ningning Cui, Xiaochun Yang, Bin Wang, Jianxin Li, Guoren Wang
2020	Scaling Out Schema-free Stream Joins. Damjan Gjurovski, Sebastian Michel
2020	SeeMoRe: A Fault-Tolerant Protocol for Hybrid Cloud Environments. Mohammad Javad Amiri, Sujaya Maiyya, Divyakant Agrawal, Amr El Abbadi
2020	Self-paced Ensemble for Highly Imbalanced Massive Data Classification. Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu
2020	Semantic Guided and Response Times Bounded Top-k Similarity Search over Knowledge Graphs. Yuxiang Wang, Arijit Khan, Tianxing Wu, Jiahui Jin, Haijiang Yan
2020	Sequence-Aware Factorization Machines for Temporal Predictive Analytics. Tong Chen, Hongzhi Yin, Quoc Viet Hung Nguyen, Wen-Chih Peng, Xue Li, Xiaofang Zhou
2020	Shortest Path Queries for Indoor Venues with Temporal Variations. Tiantian Liu, Zijin Feng, Huan Li, Hua Lu, Muhammad Aamir Cheema, Hong Cheng, Jianliang Xu
2020	Skyline Cohesive Group Queries in Large Road-social Networks. Qiyan Li, Yuanyuan Zhu, Jeffrey Xu Yu
2020	Spark Performance Optimization Analysis In Memory Management with Deploy Mode In Standalone Cluster Computing. Deleli Mesay Adinew, Shijie Zhou, Yongjian Liao
2020	Spatial Transition Learning on Road Networks with Deep Probabilistic Models. Xiucheng Li, Gao Cong, Yun Cheng
2020	Speed Kit: A Polyglot & GDPR-Compliant Approach For Caching Personalized Content. Wolfram Wingerath, Felix Gessert, Erik Witt, Hannes Kuhlmann, Florian Bücklers, Benjamin Wollmer, Norbert Ritter
2020	Speeding Up GED Verification for Graph Similarity Search. Lijun Chang, Xing Feng, Xuemin Lin, Lu Qin, Wenjie Zhang, Dian Ouyang
2020	Statistical Estimation of Diffusion Network Topologies. Keqi Han, Yuan Tian, Yunjia Zhang, Ling Han, Hao Huang, Yunjun Gao
2020	Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations (Short Version). Lily Xu, Shahrzad Gholami, Sara Mc Carthy, Bistra Dilkina, Andrew J. Plumptre, Milind Tambe, Rohit Singh, Mustapha Nsabuga, Joshua Mabonga, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Tom Okello, Eric Enyel
2020	Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks. Jilin Hu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Hui Xiong
2020	StructSim: Querying Structural Node Similarity at Billion Scale. Xiaoshuang Chen, Longbin Lai, Lu Qin, Xuemin Lin
2020	SuRF: Identification of Interesting Data Regions with Surrogate Models. Fotis Savva, Christos Anagnostopoulos, Peter Triantafillou
2020	Summarizing Hierarchical Multidimensional Data. Alexandra Kim, Laks V. S. Lakshmanan, Divesh Srivastava
2020	Swapping Repair for Misplaced Attribute Values. Yu Sun, Shaoxu Song, Chen Wang, Jianmin Wang
2020	Sya: Enabling Spatial Awareness inside Probabilistic Knowledge Base Construction. Ibrahim Sabek, Mohamed F. Mokbel
2020	Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network. Yuanyuan Jin, Wei Zhang, Xiangnan He, Xinyu Wang, Xiaoling Wang
2020	TIDY: Publishing a Time Interval Dataset with Differential Privacy (Extended abstract). Woohwan Jung, Suyong Kwon, Kyuseok Shim
2020	Target Privacy Preserving for Social Networks. Zhongyuan Jiang, Lichao Sun, Philip S. Yu, Hui Li, Jianfeng Ma, Yulong Shen
2020	Task Allocation in Dependency-aware Spatial Crowdsourcing. Wangze Ni, Peng Cheng, Lei Chen, Xuemin Lin
2020	Task Deployment Recommendation with Worker Availability. Dong Wei, Senjuti Basu Roy, Sihem Amer-Yahia
2020	Telescope: An Automatic Feature Extraction and Transformation Approach for Time Series Forecasting on a Level-Playing Field. André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev, Valentin Curtef
2020	Temporal Network Representation Learning via Historical Neighborhoods Aggregation. Shixun Huang, Zhifeng Bao, Guoliang Li, Yanghao Zhou, J. Shane Culpepper
2020	The Art of Efficient In-memory Query Processing on NUMA Systems: a Systematic Approach. Puya Memarzia, Suprio Ray, Virendra C. Bhavsar
2020	The Pastwatch: On the usability of provenance data in relational databases. Omar Alomeir, Eugenie Yujing Lai, Mostafa Milani, Rachel Pottinger
2020	The Power of Bounds: Answering Approximate Earth Mover's Distance with Parametric Bounds (Extended abstract). Tsz Nam Chan, Man Lung Yiu, Leong Hou U
2020	To Warn or Not to Warn: Online Signaling in Audit Games. Chao Yan, Haifeng Xu, Yevgeniy Vorobeychik, Bo Li, Daniel Fabbri, Bradley A. Malin
2020	Toward Recommendation for Upskilling: Modeling Skill Improvement and Item Difficulty in Action Sequences. Kazutoshi Umemoto, Tova Milo, Masaru Kitsuregawa
2020	Toward Sampling for Deep Learning Model Diagnosis. Parmita Mehta, Stephen Portillo, Magdalena Balazinska, Andrew J. Connolly
2020	Towards Concurrent Stateful Stream Processing on Multicore Processors. Shuhao Zhang, Yingjun Wu, Feng Zhang, Bingsheng He
2020	Towards Extracting Highlights From Recorded Live Videos: An Implicit Crowdsourcing Approach. Ruochen Jiang, Changbo Qu, Jiannan Wang, Chi Wang, Yudian Zheng
2020	Towards Factorized SVM with Gaussian Kernels over Normalized Data. Keyu Yang, Yunjun Gao, Lei Liang, Bin Yao, Shiting Wen, Gang Chen
2020	Towards Locally Differentially Private Generic Graph Metric Estimation. Qingqing Ye, Haibo Hu, Man Ho Au, Xiaofeng Meng, Xiaokui Xiao
2020	Traffic Incident Detection: A Trajectory-based Approach. Xiaolin Han, Tobias Grubenmann, Reynold Cheng, Sze Chun Wong, Xiaodong Li, Wenya Sun
2020	TrajMesa: A Distributed NoSQL Storage Engine for Big Trajectory Data. Ruiyuan Li, Huajun He, Rubin Wang, Sijie Ruan, Yuan Sui, Jie Bao, Yu Zheng
2020	TransN: Heterogeneous Network Representation Learning by Translating Node Embeddings. Zijian Li, Wenhao Zheng, Xueling Lin, Ziyuan Zhao, Zhe Wang, Yue Wang, Xun Jian, Lei Chen, Qiang Yan, Tiezheng Mao
2020	Turbine: Facebook's Service Management Platform for Stream Processing. Yuan Mei, Luwei Cheng, Vanish Talwar, Michael Y. Levin, Gabriela Jacques-Silva, Nikhil Simha, Anirban Banerjee, Brian Smith, Tim Williamson, Serhat Yilmaz, Weitao Chen, Guoqiang Jerry Chen
2020	Turbocharging Geospatial Visualization Dashboards via a Materialized Sampling Cube Approach. Jia Yu, Mohamed Sarwat
2020	Two-Level Data Compression using Machine Learning in Time Series Database. Xinyang Yu, Yanqing Peng, Feifei Li, Sheng Wang, Xiaowei Shen, Huijun Mai, Yue Xie
2020	UniKV: Toward High-Performance and Scalable KV Storage in Mixed Workloads via Unified Indexing. Qiang Zhang, Yongkun Li, Patrick P. C. Lee, Yinlong Xu, Qiu Cui, Liu Tang
2020	Updates-Aware Graph Pattern based Node Matching. Guohao Sun, Guanfeng Liu, Yan Wang, Xiaofang Zhou
2020	User-driven Error Detection for Time Series with Events. Kim-Hung Le, Paolo Papotti
2020	VAC: Vertex-Centric Attributed Community Search. Qing Liu, Yifan Zhu, Minjun Zhao, Xin Huang, Jianliang Xu, Yunjun Gao
2020	Video Monitoring Queries. Nick Koudas, Raymond Li, Ioannis Xarchakos
2020	Visualization Systems for Linked Datasets. Maria Krommyda, Verena Kantere
2020	vCBIR: A Verifiable Search Engine for Content-Based Image Retrieval. Shangwei Guo, Yang Ji, Ce Zhang, Cheng Xu, Jianliang Xu