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ORCID38th ICDE 2022: Kuala Lumpur, Malaysia
- 38th IEEE International Conference on Data Engineering, ICDE 2022, Kuala Lumpur, Malaysia, May 9-12, 2022. IEEE 2022, ISBN 978-1-6654-0883-7
- Kazuki Nakajima, Kazuyuki Shudo:
Social Graph Restoration via Random Walk Sampling. 1-14 - Haibo Wang
, Chaoyi Ma, Shigang Chen, Yuanda Wang:
Online Cardinality Estimation by Self-morphing Bitmaps. 1-13 - Yulin Zhu, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jian Ren, Kai Zhou:
BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection. 14-26 - Kai Zhao, Sheng Di, Danny Perez, Xin Liang, Zizhong Chen, Franck Cappello:
MDZ: An Efficient Error-bounded Lossy Compressor for Molecular Dynamics. 27-40 - Yanhao Wang, Francesco Fabbri, Michael Mathioudakis:
Streaming Algorithms for Diversity Maximization with Fairness Constraints. 41-53 - Phuc Thai, My T. Thai, Tam Vu, Thang N. Dinh:
SaPHyRa: A Learning Theory Approach to Ranking Nodes in Large Networks. 54-67 - Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua:
Discovering Representative Attribute-stars via Minimum Description Length. 68-80 - Jing Tang, Yuqing Zhu, Xueyan Tang, Kai Han:
Distributed Influence Maximization for Large-Scale Online Social Networks. 81-95 - Zhuochen Fan, Yinda Zhang, Tong Yang, Mingyi Yan, Gang Wen, Yuhan Wu, Hongze Li, Bin Cui:
PeriodicSketch: Finding Periodic Items in Data Streams. 96-109 - Juxiang Zeng, Pinghui Wang, Lin Lan, Junzhou Zhao, Feiyang Sun, Jing Tao, Junlan Feng, Min Hu, Xiaohong Guan:
Accurate and Scalable Graph Neural Networks for Billion-Scale Graphs. 110-122 - Zhe Li, Man Lung Yiu, Tsz Nam Chan:
PAW: Data Partitioning Meets Workload Variance. 123-135 - Lun Wang, Yang Xu, Hongli Xu, Jianchun Liu, Zhiyuan Wang, Liusheng Huang:
Enhancing Federated Learning with In-Cloud Unlabeled Data. 136-149 - Adrian Rebmann, Matthias Weidlich, Han van der Aa:
GECCO: Constraint-driven Abstraction of Low-level Event Logs. 150-163 - Yikai Zhao, Yubo Zhang, Pu Yi, Tong Yang, Bin Cui, Steve Uhlig:
The Stair Sketch: Bringing more Clarity to Memorize Recent Events. 164-177 - Xiuxing Li, Zhenyu Li, Zhengyan Zhang, Ning Liu, Haitao Yuan, Wei Zhang, Zhiyuan Liu, Jianyong Wang:
Effective Few-Shot Named Entity Linking by Meta-Learning. 178-191 - Peng Peng, M. Tamer Özsu, Lei Zou, Cen Yan, Chengjun Liu:
MPC: Minimum Property-Cut RDF Graph Partitioning. 192-204 - Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku:
Time-sensitive POI Recommendation by Tensor Completion with Side Information. 205-217 - Fatemeh Esfahani, Venkatesh Srinivasan, Alex Thomo, Kui Wu:
Nucleus Decomposition in Probabilistic Graphs: Hardness and Algorithms. 218-231 - Guorui Xiao, Jin Wang, Chunbin Lin, Carlo Zaniolo:
Highly Efficient String Similarity Search and Join over Compressed Indexes. 232-244 - Hanchen Wang, Ying Zhang, Lu Qin, Wei Wang, Wenjie Zhang, Xuemin Lin:
Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching. 245-258 - Minjia Pan, Rong-Hua Li, Qi Zhang, Yongheng Dai, Qun Tian, Guoren Wang:
Fairness-aware Maximal Clique Enumeration. 259-271 - Anil Pacaci, Angela Bonifati, M. Tamer Özsu:
Evaluating Complex Queries on Streaming Graphs. 272-285 - Renjie Xiao, Yong'an Yuan, Zijing Tan, Shuai Ma, Wei Wang:
Dynamic Functional Dependency Discovery with Dynamic Hitting Set Enumeration. 286-298 - Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King:
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation. 299-311 - Huaijie Zhu, Wei Liu, Jian Yin, Mengxiang Wang, Jianliang Xu, Xin Huang, Wang-Chien Lee:
Continuous Geo-Social Group Monitoring over Moving Users. 312-324 - Xuefeng Chen, Xin Cao, Yifeng Zeng, Yixiang Fang, Sibo Wang, Xuemin Lin, Liang Feng:
Constrained Path Search with Submodular Function Maximization. 325-337 - Xiaoliang Xu, Jun Liu, Yuxiang Wang, Xiangyu Ke:
Academic Expert Finding via $(k, \mathcal{P})$-Core based Embedding over Heterogeneous Graphs. 338-351 - Jin Xu, Mingjian Chen, Jianqiang Huang, Xingyuan Tang, Ke Hu, Jian Li, Jia Cheng, Jun Lei:
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020. 352-366 - Yishu Wang, Ye Yuan, Wenjie Zhang, Yi Zhang, Xuemin Lin, Guoren Wang:
Reachability-Driven Influence Maximization in Time-dependent Road-social Networks. 367-379 - Qi Zhang, Rong-Hua Li, Minjia Pan, Yongheng Dai, Guoren Wang, Ye Yuan:
Efficient Top-k Ego-Betweenness Search. 380-392 - Qingpeng Cai, Kaiping Zheng, Beng Chin Ooi, Wei Wang, Chang Yao:
ELDA: Learning Explicit Dual-Interactions for Healthcare Analytics. 393-406 - Jiawei Duan, Qingqing Ye, Haibo Hu:
Utility Analysis and Enhancement of LDP Mechanisms in High-Dimensional Space. 407-419 - Luyi Qu, Yuming Li, Rong Zhang, Ting Chen, Ke Shu, Weining Qian, Aoying Zhou:
Application-Oriented Workload Generation for Transactional Database Performance Evaluation. 420-432 - Yufei Wang, Xiang Cheng:
PRISM: Prefix-Sum based Range Queries Processing Method under Local Differential Privacy. 433-445 - Yizhang He, Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang:
Efficient Reinforcement of Bipartite Networks at Billion Scale. 446-458 - Yu Wang, Chi Harold Liu, Chengzhe Piao, Ye Yuan, Rui Han, Guoren Wang, Jian Tang:
Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented and Distributed Multi-Agent Deep Reinforcement Learning. 459-471 - Kyuhan Lee, Jihoon Ko, Kijung Shin:
SLUGGER: Lossless Hierarchical Summarization of Massive Graphs. 472-484 - Chen Luo, Michael J. Carey:
DynaHash: Efficient Data Rebalancing in Apache AsterixDB. 485-497 - Kai Wang, Wenjie Zhang, Xuemin Lin, Lu Qin, Alexander Zhou:
Efficient Personalized Maximum Biclique Search. 498-511 - Qingshuai Feng, You Peng, Wenjie Zhang, Ying Zhang, Xuemin Lin:
Towards Real-Time Counting Shortest Cycles on Dynamic Graphs: A Hub Labeling Approach. 512-524 - Hua Yan, Shuai Wang, Yu Yang, Baoshen Guo, Tian He, Desheng Zhang:
$O^{2}$-SiteRec: Store Site Recommendation under the O2O Model via Multi-graph Attention Networks. 525-538 - Hanyuan Zhang, Siqiang Luo, Jieming Shi, Jing Nathan Yan, Weiwei Sun:
Example-based Spatial Search at Scale. 539-551 - Yuanhang Yu, Dong Wen, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin:
GPU-accelerated Proximity Graph Approximate Nearest Neighbor Search and Construction. 552-564 - Zhong Yang, Bolong Zheng, Xianzhi Wang, Guohui Li, Xiaofang Zhou:
minIL: A Simple and Small Index for String Similarity Search with Edit Distance. 565-577 - Chengying Huan, Hang Liu, Mengxing Liu, Yongchao Liu, Changhua He, Kang Chen, Jinlei Jiang, Yongwei Wu, Shuaiwen Leon Song:
TeGraph: A Novel General-Purpose Temporal Graph Computing Engine. 578-592 - Deyu Kong, Xike Xie, Zhuoxu Zhang:
Clustering-based Partitioning for Large Web Graphs. 593-606 - Pierre Faure-Giovagnoli, Jean-Marc Petit, Vasile-Marian Scuturici:
Assessing the Existence of a Function in a Dataset with the g3 Indicator. 607-620 - Ugo Comignani, Laure Berti-Équille, Noël Novelli, Angela Bonifati:
Provenance-aware Discovery of Functional Dependencies on Integrated Views. 621-633 - Wenfei Fan, Liang Geng, Ruochun Jin, Ping Lu, Resul Tugay, Wenyuan Yu:
Linking Entities across Relations and Graphs. 634-647 - Zhen Song, Yu Gu, Jianzhong Qi, Zhigang Wang, Ge Yu:
EC-Graph: A Distributed Graph Neural Network System with Error-Compensated Compression. 648-660 - Yuya Sasaki, George Fletcher, Makoto Onizuka:
Language-aware Indexing for Conjunctive Path Queries. 661-673 - Jiayu Lei, Zheng Zhang, Lan Zhang, Xiang-Yang Li:
COCA: Cost-Effective Collaborative Annotation System by Combining Experts and Amateurs. 674-685 - Junhua Zhang, Wentao Li, Lu Qin, Ying Zhang, Dong Wen, Lizhen Cui, Xuemin Lin:
Reachability Labeling for Distributed Graphs. 686-698 - Xiao Luo, Wei Ju, Meng Qu, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang:
DualGraph: Improving Semi-supervised Graph Classification via Dual Contrastive Learning. 699-712 - Guanyao Li, Xiaofeng Wang, Gunarto Sindoro Njoo, Shuhan Zhong, S.-H. Gary Chan, Chih-Chieh Hung, Wen-Chih Peng:
A Data-Driven Spatial-Temporal Graph Neural Network for Docked Bike Prediction. 713-726 - Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang:
MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. 727-740 - Yuyan Chen, Yanghua Xiao, Bang Liu:
Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer Explanation. 741-754 - Kaiqi Zhang, Hong Gao, Xixian Han, Jian Chen, Jianzhong Li:
Maximizing Range Sum in Trajectory Data. 755-766 - Zhida Jiang, Yang Xu, Hongli Xu, Zhiyuan Wang, Chunming Qiao, Yangming Zhao:
FedMP: Federated Learning through Adaptive Model Pruning in Heterogeneous Edge Computing. 767-779 - Zijin Feng, Miao Qiao, Hong Cheng:
Clustering Activation Networks. 780-792 - Akihiro Yamaguchi, Ken Ueno, Hisashi Kashima:
Learning Evolvable Time-series Shapelets. 793-805 - Harshad Deshmukh, Bruhathi Sundarmurthy, Jignesh M. Patel:
On inter-operator data transfers in query processing. 820-832 - Sepideh Nikookar, Paras Sakharkar, Baljinder Smagh, Sihem Amer-Yahia, Senjuti Basu Roy:
Guided Task Planning Under Complex Constraints. 833-845 - Chenji Huang, Yixiang Fang, Xuemin Lin, Xin Cao, Wenjie Zhang, Maria E. Orlowska:
Estimating Node Importance Values in Heterogeneous Information Networks. 846-858 - Xiaochen Liu, Weiguo Zheng, Zhenyi Chen, Zhenying He, X. Sean Wang:
Querying Maximum Quasi-independent Set by Pay-and-Recycle. 859-871 - Geonmo Gu, Yehyun Nam, Kunsoo Park, Zvi Galil, Giuseppe F. Italiano, Wook-Shin Han:
Efficient Graph Isomorphism Query Processing using Degree Sequences and Color-Label Distributions. 872-884 - Yan Li, Liwei Wang, Sheng Wang, Yuan Sun, Zhiyong Peng:
A Resource-Aware Deep Cost Model for Big Data Query Processing. 885-897 - Wensheng Luo, Kenli Li, Xu Zhou, Yunjun Gao, Keqin Li:
Maximum Biplex Search over Bipartite Graphs. 898-910 - Junhao Wang, Lan Zhang, Anran Li, Xuanke You, Haoran Cheng:
Efficient Participant Contribution Evaluation for Horizontal and Vertical Federated Learning. 911-923 - Akhil A. Dixit, Phokion G. Kolaitis:
Consistent Answers of Aggregation Queries via SAT. 924-937 - Libin Zheng, Peng Cheng, Lei Chen, Jianxing Yu, Xuemin Lin, Jian Yin:
Crowdsourced Fact Validation for Knowledge Bases. 938-950 - Antônio Cavalcante Araújo Neto, Murilo Coelho Naldi, Ricardo J. G. B. Campello, Jörg Sander:
CORE-SG: Efficient Computation of Multiple MSTs for Density-Based Methods. 951-964 - Qinbin Li, Yiqun Diao, Quan Chen, Bingsheng He:
Federated Learning on Non-IID Data Silos: An Experimental Study. 965-978 - Hancheng Wang, Haipeng Dai, Meng Li, Jun Yu, Rong Gu, Jiaqi Zheng, Guihai Chen:
Bamboo Filters: Make Resizing Smooth. 979-991 - Sha Zhao, Junwei Fang, Shiwei Zhao, Runze Wu, Jianrong Tao, Shijian Li, Gang Pan:
T-Detector: A Trajectory based Pre-trained Model for Game Bot Detection in MMORPGs. 992-1003 - Kai Yao, Lijun Chang, Lu Qin:
Computing Maximum Structural Balanced Cliques in Signed Graphs. 1004-1016 - Haoyang Li, Shimin Di, Zijian Li, Lei Chen, Jiannong Cao:
Black-box Adversarial Attack and Defense on Graph Neural Networks. 1017-1030 - Yuejia Zhang, Weiguo Zheng, Zhijie Zhang, Peng Peng, Xuecang Zhang:
Hybrid Subgraph Matching Framework Powered by Sketch Tree for Distributed Systems. 1031-1043 - Xiaoye Miao, Huanhuan Peng, Kai Chen, Yuchen Peng, Yunjun Gao, Jianwei Yin:
Maximizing Time-aware Welfare for Mixed Items. 1044-1057 - Naser Ahmadi, Hansjorg Sand, Paolo Papotti:
Unsupervised Matching of Data and Text. 1058-1070 - Cai Deng, Qi Chen, Xiangyu Zou, Erci Xu, Bo Tang, Wen Xia:
imDedup: A Lossless Deduplication Scheme to Eliminate Fine-grained Redundancy among Images. 1071-1084 - Satadisha Saha Bhowmick, Eduard C. Dragut, Weiyi Meng:
Boosting Entity Mention Detection for Targetted Twitter Streams with Global Contextual Embeddings. 1085-1097 - Reza Karegar, Melicaalsadat Mirsafian, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Discovering Domain Orders via Order Dependencies. 1098-1110 - Ghadeer Abuoda, Saravanan Thirumuruganathan, Ashraf Aboulnaga:
Accelerating Entity Lookups in Knowledge Graphs Through Embeddings. 1111-1123 - Kathleen Cachel, Elke A. Rundensteiner, Lane Harrison:
MANI-Rank: Multiple Attribute and Intersectional Group Fairness for Consensus Ranking. 1124-1137 - Deming Chu, Fan Zhang, Wenjie Zhang, Xuemin Lin, Ying Zhang:
Hierarchical Core Decomposition in Parallel: From Construction to Subgraph Search. 1138-1151 - Qianhao Cong, Jing Tang, Yuming Huang, Lei Chen, Yeow Meng Chee:
Cost-Effective Algorithms for Average-Case Interactive Graph Search. 1152-1165 - Xiaoye Miao, Yue Liu, Lu Chen, Yunjun Gao, Jianwei Yin:
Reliable Community Search on Uncertain Graphs. 1166-1179 - Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Longfei Li, Xiaolin Zheng:
Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space. 1180-1192 - Jiabao Jin, Peng Cheng, Lei Chen, Xuemin Lin, Wenjie Zhang:
GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal Prediction Models. 1193-1205 - Chengmin Wu, Enrui Hu, Ke Zhan, Lan Luo, Xinyu Zhang, Hao Jiang, Qirui Wang, Zhao Cao, Fan Yu, Lei Chen:
Triple-Fact Retriever: An explainable reasoning retrieval model for multi-hop QA problem. 1206-1218 - Shuang Hao, Peng Li, Renzhi Wu, Xu Chu:
A Model-Agnostic Approach for Learning with Noisy Labels of Arbitrary Distributions. 1219-1231 - Panpan Qi, Dan Li, See-Kiong Ng:
MAD-SGCN: Multivariate Anomaly Detection with Self-learning Graph Convolutional Networks. 1232-1244 - Zhihao Chen, Qingqing Li, Xiaodong Qi, Zhao Zhang, Cheqing Jin, Aoying Zhou:
BlockOPE: Efficient Order-Preserving Encryption for Permissioned Blockchain. 1245-1258 - Xu Xie, Fei Sun, Zhaoyang Liu, Shiwen Wu, Jinyang Gao, Jiandong Zhang, Bolin Ding, Bin Cui:
Contrastive Learning for Sequential Recommendation. 1259-1273 - Daizong Ding, Mi Zhang, Yuanmin Huang, Xudong Pan, Fuli Feng, Erling Jiang, Min Yang:
Towards Backdoor Attack on Deep Learning based Time Series Classification. 1274-1287 - Panagiotis Liakos, Katia Papakonstantinopoulou, Theodore Stefou, Alex Delis:
On Compressing Temporal Graphs. 1301-1313 - Jim Verheijde, Vassilios Karakoidas, Marios Fragkoulis, Asterios Katsifodimos:
S-QUERY: Opening the Black Box of Internal Stream Processor State. 1314-1327 - Yingjie Lao, Peng Yang, Weijie Zhao, Ping Li:
Identification for Deep Neural Network: Simply Adjusting Few Weights! 1328-1341 - Tung Kieu, Bin Yang, Chenjuan Guo, Razvan-Gabriel Cirstea, Yan Zhao, Yale Song, Christian S. Jensen:
Anomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders. 1342-1354 - Tiankai Gu, Chaokun Wang, Cheng Wu, Yunkai Lou, Jingcao Xu, Changping Wang, Kai Xu, Can Ye, Yang Song:
HybridGNN: Learning Hybrid Representation for Recommendation in Multiplex Heterogeneous Networks. 1355-1367 - Supawit Chockchowwat, Chaitanya Sood, Yongjoo Park:
Airphant: Cloud-oriented Document Indexing. 1368-1381 - Bruhathi Sundarmurthy, Harshad Deshmukh, Paris Koutris, Jeffrey F. Naughton:
Salvaging failing and straggling queries. 1382-1395 - Zhao Lu, Yuanyuan Zhu, Ming Zhong, Jeffrey Xu Yu:
On Time-optimal (k, p)-core Community Search in Dynamic Graphs. 1396-1407 - Atul Sandur, Chanho Park, Stavros Volos, Gul Agha, Myeongjae Jeon:
Jarvis: Large-scale Server Monitoring with Adaptive Near-data Processing. 1408-1422 - Suraj Shetiya, Ian P. Swift, Abolfazl Asudeh, Gautam Das:
Fairness-Aware Range Queries for Selecting Unbiased Data. 1423-1436 - Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu:
Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction. 1450-1462 - Samaa Gazzaz, Vishal Chakraborty, Faisal Nawab:
Croesus: Multi-Stage Processing and Transactions for Video-Analytics in Edge-Cloud Systems. 1463-1476 - Renjie Wu, Audrey Der, Eamonn J. Keogh:
When is Early Classification of Time Series Meaningful? (Extended Abstract). 1477-1478 - Renjie Wu, Eamonn J. Keogh:
Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress (Extended Abstract). 1479-1480 - Xinrui Wang, Hong Gao, Zhipeng Cai, Jianzhong Li:
Who Should Deserve Investment? Attractive Individual and Group Search in Dynamic Information Networks (Extended Abstract). 1481-1482 - Kaiqiang Yu, Cheng Long, Deepak P, Tanmoy Chakraborty:
On Efficient Large Maximal Biplex Discovery (Extended abstract). 1483-1484 - Shiwei Wei, Yuping Wang, Yiu-ming Cheung:
A Branch Elimination-based Efficient Algorithm for Large-scale Multiple Longest Common Subsequence Problem (Extended Abstract). 1485-1486 - Zhao Chang, Dong Xie, Feifei Li, Jeff M. Phillips, Rajeev Balasubramonian:
Efficient and Oblivious Query Processing for Range and kNN Queries (Extended Abstract). 1487-1488 - Luming Sun, Cuiping Li, Tao Ji, Hong Chen:
MOSE: A Monotonic Selectivity Estimator Using Learned CDF (Extended abstract).