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ORCID36th ICDE 2020: Dallas, TX, USA
- 36th IEEE International Conference on Data Engineering, ICDE 2020, Dallas, TX, USA, April 20-24, 2020. IEEE 2020, ISBN 978-1-7281-2903-7
- Yurong Cheng, Boyang Li, Xiangmin Zhou, Ye Yuan, Guoren Wang, Lei Chen:
Real-Time Cross Online Matching in Spatial Crowdsourcing. 1-12 - Yan Zhao, Kai Zheng, Yue Cui
, Han Su, Feida Zhu, Xiaofang Zhou:
Predictive Task Assignment in Spatial Crowdsourcing: A Data-driven Approach. 13-24 - Chi Harold Liu, Yinuo Zhao, Zipeng Dai, Ye Yuan, Guoren Wang, Dapeng Wu, Kin K. Leung:
Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach. 25-36 - Jiacheng Huang, Wei Hu, Zhifeng Bao, Yuzhong Qu:
Crowdsourced Collective Entity Resolution with Relational Match Propagation. 37-48 - Caihua Shan, Nikos Mamoulis, Reynold Cheng, Guoliang Li, Xiang Li, Yuqiu Qian:
An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms. 49-60 - Yifeng Jin, Lin Zhu, Zijing Tan:
Efficient Bidirectional Order Dependency Discovery. 61-72 - Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui:
Efficient Diversity-Driven Ensemble for Deep Neural Networks. 73-84 - Thanh Trung Huynh, Van Vinh Tong, Thanh Tam Nguyen, Hongzhi Yin, Matthias Weidlich, Nguyen Quoc Viet Hung:
Adaptive Network Alignment with Unsupervised and Multi-order Convolutional Networks. 85-96 - Wenlu Wang, Yingtao Tian, Haixun Wang, Wei-Shinn Ku:
A Natural Language Interface for Database: Achieving Transfer-learnability Using Adversarial Method for Question Understanding. 97-108 - Olha Horlova, Abdulrahman Kaitoua, Stefano Ceri:
Array-based Data Management for Genomics. 109-120 - Lei Guo, Hongzhi Yin, Qinyong Wang, Bin Cui, Zi Huang, Lizhen Cui:
Group Recommendation with Latent Voting Mechanism. 121-132 - Yu Zheng, Chen Gao, Xiangnan He, Yong Li, Depeng Jin:
Price-aware Recommendation with Graph Convolutional Networks. 133-144 - Yuanyuan Jin, Wei Zhang, Xiangnan He, Xinyu Wang, Xiaoling Wang:
Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network. 145-156 - Junshuai Song, Zhao Li, Zehong Hu, Yucheng Wu, Zhenpeng Li, Jian Li, Jun Gao:
PoisonRec: An Adaptive Data Poisoning Framework for Attacking Black-box Recommender Systems. 157-168 - Kazutoshi Umemoto, Tova Milo, Masaru Kitsuregawa:
Toward Recommendation for Upskilling: Modeling Skill Improvement and Item Difficulty in Action Sequences. 169-180 - Chen Zhang, Fan Zhang, Wenjie Zhang, Boge Liu, Ying Zhang, Lu Qin, Xuemin Lin:
Exploring Finer Granularity within the Cores: Efficient (k, p)-Core Computation. 181-192 - Joana M. F. da Trindade, Konstantinos Karanasos, Carlo Curino, Samuel Madden, Julian Shun:
Kaskade: Graph Views for Efficient Graph Analytics. 193-204 - Qi Zhang, Rong-Hua Li, Qixuan Yang, Guoren Wang, Lu Qin:
Efficient Top-k Edge Structural Diversity Search. 205-216 - Zhuo Wang, Chaokun Wang, Weiping Wang, Xiaoyan Gu, Bo Li, Dan Meng:
Adaptive Relation Discovery from Focusing Seeds on Large Networks. 217-228 - Peng Lin, Qi Song, Yinghui Wu, Jiaxing Pi:
Repairing Entities using Star Constraints in Multirelational Graphs. 229-240 - Xun Yi, Russell Paulet, Elisa Bertino, Fang-Yu Rao:
Practical Anonymous Subscription with Revocation Based on Broadcast Encryption. 241-252 - Ningning Cui, Xiaochun Yang, Bin Wang, Jianxin Li, Guoren Wang:
SVkNN: Efficient Secure and Verifiable k-Nearest Neighbor Query on the Cloud Platform*. 253-264 - Daren Fadolalkarim, Elisa Bertino, Asmaa Sallam:
An Anomaly Detection System for the Protection of Relational Database Systems against Data Leakage by Application Programs. 265-276 - Basit Khurram, Florian Kerschbaum:
SFour: A Protocol for Cryptographically Secure Record Linkage at Scale. 277-288 - Mingjie Li, Ying Zhang, Yifang Sun, Wei Wang, Ivor W. Tsang, Xuemin Lin:
I/O Efficient Approximate Nearest Neighbour Search based on Learned Functions. 289-300 - Tim Gubner, Viktor Leis, Peter A. Boncz:
Efficient Query Processing with Optimistically Compressed Hash Tables & Strings in the USSR. 301-312 - Qiang Zhang, Yongkun Li, Patrick P. C. Lee, Yinlong Xu, Qiu Cui, Liu Tang:
UniKV: Toward High-Performance and Scalable KV Storage in Mixed Workloads via Unified Indexing. 313-324 - TaiNing Wang, Chee-Yong Chan:
Improved Correlated Sampling for Join Size Estimation. 325-336 - Botao Peng, Panagiota Fatourou, Themis Palpanas:
MESSI: In-Memory Data Series Indexing. 337-348 - Xiucheng Li, Gao Cong, Yun Cheng:
Spatial Transition Learning on Road Networks with Deep Probabilistic Models. 349-360 - Shen Liang, Yanchun Zhang, Jiangang Ma:
Active Model Selection for Positive Unlabeled Time Series Classification. 361-372 - Yuanduo He, Xu Chu, Yasha Wang:
Neighbor Profile: Bagging Nearest Neighbors for Unsupervised Time Series Mining. 373-384 - Fabian Gieseke, Sabina Rosca, Troels Henriksen, Jan Verbesselt, Cosmin E. Oancea:
Massively-Parallel Change Detection for Satellite Time Series Data with Missing Values. 385-396 - Qiyan Li, Yuanyuan Zhu, Jeffrey Xu Yu:
Skyline Cohesive Group Queries in Large Road-social Networks. 397-408 - Taotao Cai, Jianxin Li, Nur Al Hasan Haldar, Ajmal Mian, John Yearwood, Timos Sellis:
Anchored Vertex Exploration for Community Engagement in Social Networks. 409-420 - Ruida Yang, Xin Lin, Jianliang Xu, Yan Yang, Liang He:
Optimizing Knowledge Graphs through Voting-based User Feedback. 421-432 - Yongqi Zhang, Quanming Yao, Wenyuan Dai, Lei Chen:
AutoSF: Searching Scoring Functions for Knowledge Graph Embedding. 433-444 - Yuxiang Wang, Arijit Khan, Tianxing Wu, Jiahui Jin, Haijiang Yan:
Semantic Guided and Response Times Bounded Top-k Similarity Search over Knowledge Graphs. 445-456 - Jiaxin Jiang, Xin Huang, Byron Choi, Jianliang Xu, Sourav S. Bhowmick, Lyu Xu:
PPKWS: An Efficient Framework for Keyword Search on Public-Private Networks. 457-468 - Shagufta Mehnaz, Elisa Bertino:
Privacy-preserving Real-time Anomaly Detection Using Edge Computing. 469-480 - Chao Yan, Haifeng Xu, Yevgeniy Vorobeychik, Bo Li, Daniel Fabbri, Bradley A. Malin:
To Warn or Not to Warn: Online Signaling in Audit Games. 481-492 - Ios Kotsogiannis, Stelios Doudalis, Samuel Haney, Ashwin Machanavajjhala, Sharad Mehrotra:
One-sided Differential Privacy. 493-504 - Xiaolan Gu, Ming Li, Li Xiong, Yang Cao:
Providing Input-Discriminative Protection for Local Differential Privacy. 505-516 - Qian Tao, Yongxin Tong, Zimu Zhou, Yexuan Shi, Lei Chen, Ke Xu:
Differentially Private Online Task Assignment in Spatial Crowdsourcing: A Tree-based Approach. 517-528 - Noura Alghamdi, Liang Zhang, Huayi Zhang, Elke A. Rundensteiner, Mohamed Y. Eltabakh:
ChainLink: Indexing Big Time Series Data For Long Subsequence Matching. 529-540 - Trong Duc Nguyen, Ming-Hung Shih, Sai Sree Parvathaneni, Bojian Xu, Divesh Srivastava, Srikanta Tirthapura:
Random Sampling for Group-By Queries. 541-552 - Li Wang, Zining Zhang, Bingsheng He, Zhenjie Zhang:
PA-Tree: Polled-Mode Asynchronous B+ Tree for NVMe. 553-564 - Jianye Yang, Wenjie Zhang, Xiang Wang, Ying Zhang, Xuemin Lin:
Distributed Streaming Set Similarity Join. 565-576 - Zhongle Xie, Hongbin Ying, Cong Yue, Meihui Zhang, Gang Chen, Beng Chin Ooi:
Cool, a COhort OnLine analytical processing system. 577-588 - Zijian Li, Wenhao Zheng, Xueling Lin, Ziyuan Zhao, Zhe Wang, Yue Wang, Xun Jian, Lei Chen, Qiang Yan, Tiezheng Mao:
TransN: Heterogeneous Network Representation Learning by Translating Node Embeddings. 589-600 - Jin Xu, Jingbo Zhou, Yongpo Jia, Jian Li, Hui Xiong:
An Adaptive Master-Slave Regularized Model for Unexpected Revenue Prediction Enhanced with Alternative Data. 601-612 - Zicun Cong, Lingyang Chu, Lanjun Wang, Xia Hu, Jian Pei:
Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution. 613-624 - Keqi Han, Yuan Tian, Yunjia Zhang, Ling Han, Hao Huang, Yunjun Gao:
Statistical Estimation of Diffusion Network Topologies. 625-636 - Quang-Huy Duong, Heri Ramampiaro, Kjetil Nørvåg:
Multiple Dense Subtensor Estimation with High Density Guarantee. 637-648 - Keke Huang, Jing Tang, Xiaokui Xiao, Aixin Sun, Andrew Lim:
Efficient Approximation Algorithms for Adaptive Target Profit Maximization. 649-660 - Kai Wang, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang:
Efficient Bitruss Decomposition for Large-scale Bipartite Graphs. 661-672 - Cheng Zhao, Zhibin Zhang, Peng Xu, Tianqi Zheng, Jiafeng Guo:
Kaleido: An Efficient Out-of-core Graph Mining System on A Single Machine. 673-684 - Deming Chu, Fan Zhang, Xuemin Lin, Wenjie Zhang, Ying Zhang, Yinglong Xia, Chenyi Zhang:
Finding the Best k in Core Decomposition: A Time and Space Optimal Solution. 685-696 - Guohao Sun, Guanfeng Liu, Yan Wang, Xiaofang Zhou:
Updates-Aware Graph Pattern based Node Matching. 697-708 - Alex Bogatu, Alvaro A. A. Fernandes, Norman W. Paton, Nikolaos Konstantinou:
Dataset Discovery in Data Lakes. 709-720 - Yu Sun, Shaoxu Song, Chen Wang, Jianmin Wang:
Swapping Repair for Misplaced Attribute Values. 721-732 - Yuyu Luo, Chengliang Chai, Xuedi Qin, Nan Tang, Guoliang Li:
Interactive Cleaning for Progressive Visualization through Composite Questions. 733-744 - Kim-Hung Le, Paolo Papotti:
User-driven Error Detection for Time Series with Events. 745-757 - Hanbing Zhang, Yazhong Zhang, Zhenying He, Yinan Jing, Kai Zhang, X. Sean Wang:
An Agile Sample Maintenance Approach for Agile Analytics. 757-768 - Junzhou Zhao, Pinghui Wang, Jing Tao, Shuo Zhang, John C. S. Lui:
Continuously Tracking Core Items in Data Streams with Probabilistic Decays. 769-780 - Puya Memarzia, Suprio Ray, Virendra C. Bhavsar:
The Art of Efficient In-memory Query Processing on NUMA Systems: a Systematic Approach. 781-792 - Lijun Chang, Xing Feng, Xuemin Lin, Lu Qin, Wenjie Zhang, Dian Ouyang:
Speeding Up GED Verification for Graph Similarity Search. 793-804 - Damjan Gjurovski, Sebastian Michel:
Scaling Out Schema-free Stream Joins. 805-816 - Tova Milo, Yuval Moskovitch, Brit Youngmann:
Contribution Maximization in Probabilistic Datalog. 817-828 - Shahab Helmi, Farnoush Banaei Kashani:
Multiscale Frequent Co-movement Pattern Mining. 829-840 - Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu:
Self-paced Ensemble for Highly Imbalanced Massive Data Classification. 841-852 - Yash Garg, K. Selçuk Candan, Maria Luisa Sapino:
SAN : Scale-Space Attention Networks. 853-864 - Khanh Luong, Richi Nayak:
A Novel Approach to Learning Consensus and Complementary Information for Multi-View Data Clustering. 865-876 - Alexandra Kim, Laks V. S. Lakshmanan, Divesh Srivastava:
Summarizing Hierarchical Multidimensional Data. 877-888 - Yue Kou, Derong Shen, Quinn Snell, Dong Li, Tiezheng Nie, Ge Yu, Shuai Ma:
Efficient Team Formation in Social Networks based on Constrained Pattern Graph. 889-900 - Yixing Yang, Yixiang Fang, Xuemin Lin, Wenjie Zhang:
Effective and Efficient Truss Computation over Large Heterogeneous Information Networks. 901-912 - Dandan Lin, Raymond Chi-Wing Wong, Min Xie, Victor Junqiu Wei:
Index-Free Approach with Theoretical Guarantee for Efficient Random Walk with Restart Query. 913-924 - Jeongmyung Lee, Seokwon Kang, Yongseung Yu, Yong-Yeon Jo, Sang-Wook Kim, Yongjun Park:
Optimization of GPU-based Sparse Matrix Multiplication for Large Sparse Networks. 925-936 - Qing Liu, Yifan Zhu, Minjun Zhao, Xin Huang, Jianliang Xu, Yunjun Gao:
VAC: Vertex-Centric Attributed Community Search. 937-948 - Yiding Liu, Kaiqi Zhao, Gao Cong, Zhifeng Bao:
Online Anomalous Trajectory Detection with Deep Generative Sequence Modeling. 949-960 - Zhidan Liu, Zengyang Gong, Jiangzhou Li, Kaishun Wu:
Mobility-Aware Dynamic Taxi Ridesharing. 961-972 - Bolong Zheng, Chenze Huang, Christian S. Jensen, Lu Chen, Nguyen Quoc Viet Hung, Guanfeng Liu, GuoHui Li, Kai Zheng:
Online Trichromatic Pickup and Delivery Scheduling in Spatial Crowdsourcing. 973-984 - Wangze Ni, Peng Cheng, Lei Chen, Xuemin Lin:
Task Allocation in Dependency-aware Spatial Crowdsourcing. 985-996 - Lisi Chen, Shuo Shang, Christian S. Jensen, Bin Yao, Panos Kalnis:
Parallel Semantic Trajectory Similarity Join. 997-1008 - Min Xie, Raymond Chi-Wing Wong, Peng Peng, Vassilis J. Tsotras:
Being Happy with the Least: Achievingα -happiness with Minimum Number of Tuples. 1009-1020 - Jun Kuang, Yixin Cao, Jianbing Zheng, Xiangnan He, Ming Gao, Aoying Zhou:
Improving Neural Relation Extraction with Implicit Mutual Relations. 1021-1032 - Weijie Zhao, Shulong Tan, Ping Li:
SONG: Approximate Nearest Neighbor Search on GPU. 1033-1044 - Kejing Lu, Mineichi Kudo:
R2LSH: A Nearest Neighbor Search Scheme Based on Two-dimensional Projected Spaces. 1045-1056 - Yan Li, Tingjian Ge, Cindy X. Chen:
Online Indices for Predictive Top-k Entity and Aggregate Queries on Knowledge Graphs. 1057-1068 - Feng Zhang, Jidong Zhai, Xipeng Shen, Onur Mutlu, Xiaoyong Du:
Enabling Efficient Random Access to Hierarchically-Compressed Data. 1069-1080 - Zhong Yang, Bolong Zheng, GuoHui Li, Xi Zhao, Xiaofang Zhou, Christian S. Jensen:
Adaptive Top-k Overlap Set Similarity Joins. 1081-1092 - Bo Zhao, Nguyen Quoc Viet Hung, Matthias Weidlich:
Load Shedding for Complex Event Processing: Input-based and State-based Techniques. 1093-1104 - Nikos R. Katsipoulakis, Alexandros Labrinidis, Panos K. Chrysanthis:
SPEAr: Expediting Stream Processing with Accuracy Guarantees. 1105-1116 - Shixun Huang, Zhifeng Bao, Guoliang Li, Yanghao Zhou, J. Shane Culpepper:
Temporal Network Representation Learning via Historical Neighborhoods Aggregation. 1117-1128 - Swapnil Gandhi, Yogesh Simmhan:
An Interval-centric Model for Distributed Computing over Temporal Graphs. 1129-1140 - Mo Li, Farhana Murtaza Choudhury, Renata Borovica-Gajic, Zhiqiong Wang, Junchang Xin, Jianxin Li:
CrashSim: An Efficient Algorithm for Computing SimRank over Static and Temporal Graphs. 1141-1152 - Dong Wen, Yilun Huang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin:
Efficiently Answering Span-Reachability Queries in Large Temporal Graphs. 1153-1164 - Jia Yu, Mohamed Sarwat:
Turbocharging Geospatial Visualization Dashboards via a Materialized Sampling Cube Approach. 1165-1176 - Ibrahim Sabek, Mohamed F. Mokbel:
Sya: Enabling Spatial Awareness inside Probabilistic Knowledge Base Construction. 1177-1188 - Lei Li, Mengxuan Zhang, Wen Hua, Xiaofang Zhou:
Fast Query Decomposition for Batch Shortest Path Processing in Road Networks. 1189-1200 - Jiehuan Luo, Xin Cao, Xike Xie, Qiang Qu, Zhiqiang Xu, Christian S. Jensen:
Efficient Attribute-Constrained Co-Located Community Search. 1201-1212 - Zijin Feng, Tiantian Liu, Huan Li, Hua Lu, Lidan Shou, Jianliang Xu:
Indoor Top-k Keyword-aware Routing Query. 1213-1224 - Jiajia Chu, Yunshan Tu, Yao Zhang, Chuliang Weng:
Latte: A Native Table Engine On Nvme Storage. 1225-1236 - Sehyeon Oh, Wook-Hee Kim, Jihye Seo, Hyeonho Song, Sam H. Noh, Beomseok Nam:
Doubleheader Logging: Eliminating Journal Write Overhead for Mobile DBMS. 1237-1248 - Li Zeng, Lei Zou, M. Tamer Özsu, Lin Hu, Fan Zhang:
GSI: GPU-friendly Subgraph Isomorphism. 1249-1260 - Xuan Sun, Jinghuan Yu, Zimeng Zhou, Chun Jason Xue:
FPGA-based Compaction Engine for Accelerating LSM-tree Key-Value Stores. 1261-1272 - Andrew Crotty, Alex Galakatos, Tim Kraska:
Getting Swole: Generating Access-Aware Code with Predicate Pullups. 1273-1284 - Nick Koudas, Raymond Li, Ioannis Xarchakos:
Video Monitoring Queries. 1285-1296 - Xiang Yu, Guoliang Li, Chengliang Chai, Nan Tang:
Reinforcement Learning with Tree-LSTM for Join Order Selection. 1297-1308 - Saravanan Thirumuruganathan, Shohedul Hasan, Nick Koudas, Gautam Das:
Approximate Query Processing for Data Exploration using Deep Generative Models. 1309-1320 - Fotis Savva, Christos Anagnostopoulos, Peter Triantafillou:
SuRF: Identification of Interesting Data Regions with Surrogate Models. 1321-1332 - Xinyang Yu, Yanqing Peng, Feifei Li, Sheng Wang, Xiaowei Shen, Huijun Mai, Yue Xie:
Two-Level Data Compression using Machine Learning in Time Series Database. 1333-1344 - Mohammad Javad Amiri, Sujaya Maiyya, Divyakant Agrawal, Amr El Abbadi:
SeeMoRe: A Fault-Tolerant Protocol for Hybrid Cloud Environments. 1345-1356 - Yuechen Tao, Bo Li, Jingjie Jiang, Hok Chu Ng, Cong Wang, Baochun Li:
On Sharding Open Blockchains with Smart Contracts. 1357-1368 - Da Yan, Guimu Guo, Md Mashiur Rahman Chowdhury, M. Tamer Özsu, Wei-Shinn Ku, John C. S. Lui:
G-thinker: A Distributed Framework for Mining Subgraphs in a Big Graph. 1369-1380 - Michael Abebe, Brad Glasbergen, Khuzaima Daudjee:
DynaMast: Adaptive Dynamic Mastering for Replicated Systems. 1381-1392