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ORCIDIEEE Transactions on Knowledge and Data Engineering, Volume 34
Volume 34, Number 1, January 2022
- Okwudili M. Ezeme
, Qusay H. Mahmoud, Akramul Azim:
A Framework for Anomaly Detection in Time-Driven and Event-Driven Processes Using Kernel Traces. 1-14 - Pingfu Chao, Wen Hua, Rui Mao, Jiajie Xu, Xiaofang Zhou:
A Survey and Quantitative Study on Map Inference Algorithms From GPS Trajectories. 15-28 - Xiao-Hui Li, Caleb Chen Cao, Yuhan Shi, Wei Bai, Han Gao, Luyu Qiu, Cong Wang, Yuanyuan Gao, Shenjia Zhang, Xun Xue, Lei Chen:
A Survey of Data-Driven and Knowledge-Aware eXplainable AI. 29-49 - Jing Li, Aixin Sun, Jianglei Han, Chenliang Li:
A Survey on Deep Learning for Named Entity Recognition. 50-70 - Shanjiang Tang, Bingsheng He, Ce Yu, Yusen Li, Kun Li:
A Survey on Spark Ecosystem: Big Data Processing Infrastructure, Machine Learning, and Applications. 71-91 - Peng Jia, Pinghui Wang, Yuchao Zhang, Xiangliang Zhang, Jing Tao, Jianwei Ding, Xiaohong Guan, Don Towsley:
Accurately Estimating User Cardinalities and Detecting Super Spreaders Over Time. 92-106 - Wei Yang, Yangyang Geng, Lu Li, Xike Xie, Liusheng Huang:
Achieving Secure and Dynamic Range Queries Over Encrypted Cloud Data. 107-121 - Chih-Ya Shen, De-Nian Yang, Wang-Chien Lee, Ming-Syan Chen:
Activity Organization for Friend-Making Optimization in Online Social Networks. 122-137 - Ibrahim Jubran, Dan Feldman:
Aligning Points to Lines: Provable Approximations. 138-149 - Hang Yu, Jie Lu, Guangquan Zhang:
An Online Robust Support Vector Regression for Data Streams. 150-163 - Huanyu Zhao, Chaoyi Pang, Ramamohanarao Kotagiri, Christopher Kuo Pang, Ke Deng, Jian Yang, Tongliang Li:
An Optimal Online Semi-Connected PLA Algorithm With Maximum Error Bound. 164-177 - Yuanyuan Zhu, Qian Zhang, Lu Qin, Lijun Chang, Jeffrey Xu Yu:
Cohesive Subgraph Search Using Keywords in Large Networks. 178-191 - Chuanxing Geng, Songcan Chen:
Collective Decision for Open Set Recognition. 192-204 - Chen Ye, Hongzhi Wang, Kangjie Zheng, Youkang Kong, Rong Zhu, Jing Gao, Jianzhong Li:
Constrained Truth Discovery. 205-218 - Lihui Lin, Yanghui Rao, Haoran Xie, Raymond Y. K. Lau, Jian Yin, Fu Lee Wang, Qing Li:
Copula Guided Parallel Gibbs Sampling for Nonparametric and Coherent Topic Discovery. 219-235 - Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan:
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning. 236-248 - Ziwei Zhang, Peng Cui, Wenwu Zhu:
Deep Learning on Graphs: A Survey. 249-270 - Jiajing Zhu, Yongguo Liu, Chuanbiao Wen, Xindong Wu:
DGDFS: Dependence Guided Discriminative Feature Selection for Predicting Adverse Drug-Drug Interaction. 271-285 - Bin Zhang, Qianyao Qiang, Fei Wang, Feiping Nie:
Fast Multi-View Semi-Supervised Learning With Learned Graph. 286-299 - Lei Li, Sibo Wang, Xiaofang Zhou:
Fastest Path Query Answering using Time-Dependent Hop-Labeling in Road Network. 300-313 - Yanran Li, Ruixiang Zhang, Wenjie Li, Ziqiang Cao:
Hierarchical Prediction and Adversarial Learning For Conditional Response Generation. 314-327 - Yun William Yu, Griffin M. Weber:
HyperMinHash: MinHash in LogLog Space. 328-339 - Long Lan, Tongliang Liu, Xiang Zhang, Chuanfu Xu, Zhigang Luo:
Label Propagated Nonnegative Matrix Factorization for Clustering. 340-351 - Shunya Nishio, Daichi Amagata, Takahiro Hara:
Lamps: Location-Aware Moving Top-k Pub/Sub. 352-364 - Bo Yang, Ahmed S. Zamzam, Nicholas D. Sidiropoulos:
Large Scale Tensor Factorization via Parallel Sketches. 365-378 - Ming Gao, Xiangnan He, Leihui Chen, Tingting Liu, Jinglin Zhang, Aoying Zhou:
Learning Vertex Representations for Bipartite Networks. 379-393 - Guorui Li, Guang Guo, Sancheng Peng, Cong Wang, Shui Yu, Jianwei Niu, Jianli Mo:
Matrix Completion via Schatten Capped $p$p Norm. 394-404 - Xiaolin Zheng, Menghan Wang, Renjun Xu, Jianmeng Li, Yan Wang:
Modeling Dynamic Missingness of Implicit Feedback for Sequential Recommendation. 405-418 - Gaurav Mishra, Sraban Kumar Mohanty:
RDMN: A Relative Density Measure Based on MST Neighborhood for Clustering Multi-Scale Datasets. 419-432 - Chuan Shi, Yuanfu Lu, Linmei Hu, Zhiyuan Liu, Huadong Ma:
RHINE: Relation Structure-Aware Heterogeneous Information Network Embedding. 433-447 - Saeed Najafi Pour, Saeid Hosseini, Wen Hua, Mohammad Reza Kangavari, Xiaofang Zhou:
SoulMate: Short-Text Author Linking Through Multi-Aspect Temporal-Textual Embedding. 448-461 - Yang Liu, Xiang Ao, Linfeng Dong, Chao Zhang, Jin Wang, Qing He:
Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding. 462-474 - Yuyu Luo, Xuedi Qin, Chengliang Chai, Nan Tang, Guoliang Li, Wenbo Li:
Steerable Self-Driving Data Visualization. 475-490 - Shixuan Sun, Qiong Luo:
Subgraph Matching With Effective Matching Order and Indexing. 491-505
Volume 34, Number 2, February 2022
- Maxence Vandromme, Julie Jacques, Julien Taillard, Laetitia Jourdan, Clarisse Dhaenens:
A Biclustering Method for Heterogeneous and Temporal Medical Data. 506-518 - Tayyebeh Saeedi, Mansoor Rezghi:
A Novel Enriched Version of Truncated Nuclear Norm Regularization for Matrix Completion of Inexact Observed Data. 519-530 - Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun:
CHEER: Rich Model Helps Poor Model via Knowledge Infusion. 531-543 - Tong Zhang, Yuan Zong, Wenming Zheng, C. L. Philip Chen, Xiaopeng Hong, Chuangao Tang, Zhen Cui, Guoying Zhao:
Cross-Database Micro-Expression Recognition: A Benchmark. 544-559 - Rong-Cheng Tu, Xian-Ling Mao, Bing Ma, Yong Hu, Tan Yan, Wei Wei, Heyan Huang:
Deep Cross-Modal Hashing With Hashing Functions and Unified Hash Codes Jointly Learning. 560-572 - Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha:
Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model. 573-586 - Mehmet Pilanci, Elif Vural:
Domain Adaptation on Graphs by Learning Aligned Graph Bases. 587-600 - Mehdi Kargar, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta, Morteza Zihayat:
Effective Keyword Search Over Weighted Graphs. 601-616 - Yanni Li, Hui Li, Zhi Wang, Bing Liu, Jiangtao Cui, Hang Fei:
ESA-Stream: Efficient Self-Adaptive Online Data Stream Clustering. 617-630 - Linfeng Song, Zhiguo Wang, Mo Yu, Yue Zhang, Radu Florian, Daniel Gildea:
Evidence Integration for Multi-Hop Reading Comprehension With Graph Neural Networks. 631-639 - Jingjing Gu, Qiang Zhou, Jingyuan Yang, Yanchi Liu, Fuzhen Zhuang, Yanchao Zhao, Hui Xiong:
Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems. 640-652 - Yuqiu Qian, Conghui Tan, Danhao Ding, Hui Li, Nikos Mamoulis:
Fast and Secure Distributed Nonnegative Matrix Factorization. 653-666 - Yuxi Xie, Min Qiu, Haibo Zhang, Lizhi Peng, Zhenxiang Chen:
Gaussian Distribution Based Oversampling for Imbalanced Data Classification. 667-679 - Zhiling Luo, Yinghua Cui, Sha Zhao, Jianwei Yin:
g-Inspector: Recurrent Attention Model on Graph. 680-690 - Michael A. Georgiou, Aristodemos Paphitis, Michael Sirivianos, Herodotos Herodotou:
Hihooi: A Database Replication Middleware for Scaling Transactional Databases Consistently. 691-707 - Yali Gao, Xiaoyong Li, Hao Peng, Binxing Fang, Philip S. Yu:
HinCTI: A Cyber Threat Intelligence Modeling and Identification System Based on Heterogeneous Information Network. 708-722 - Hao Liu, Yongxin Tong, Jindong Han, Panpan Zhang, Xinjiang Lu, Hui Xiong:
Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation. 723-735 - Suining He, Kang G. Shin:
Information Fusion for (Re)Configuring Bike Station Networks With Crowdsourcing. 736-752 - Tzu-Tsung Wong:
Linear Approximation of F-Measure for the Performance Evaluation of Classification Algorithms on Imbalanced Data Sets. 753-763 - Yixiang Dong, Minnan Luo, Jundong Li, Deng Cai, Qinghua Zheng:
LookCom: Learning Optimal Network for Community Detection. 764-775 - Peng Cheng, Xiang Lian, Lei Chen, Siyuan Liu:
Maximizing the Utility in Location-Based Mobile Advertising. 776-788 - Hui Li, Yanlin Wang, Ziyu Lyu, Jieming Shi:
Multi-Task Learning for Recommendation Over Heterogeneous Information Network. 789-802 - Zhaohong Deng, Ruixiu Liu, Peng Xu, Kup-Sze Choi, Wei Zhang, Xiaobin Tian, Te Zhang, Ling Liang, Bin Qin, Shitong Wang:
Multi-View Clustering With the Cooperation of Visible and Hidden Views. 803-815 - Junwei Han, Jinglin Xu, Feiping Nie, Xuelong Li:
Multi-View K-Means Clustering With Adaptive Sparse Memberships and Weight Allocation. 816-827 - Jing Li, Billy Chiu, Shuo Shang, Ling Shao:
Neural Text Segmentation and its Application to Sentiment Analysis. 828-842 - Peeyush Gupta, Yin Li, Sharad Mehrotra, Nisha Panwar, Shantanu Sharma, Sumaya Almanee:
Obscure: Information-Theoretically Secure, Oblivious, and Verifiable Aggregation Queries on Secret-Shared Outsourced Data. 843-864 - Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yu Zheng:
Online Spatio-Temporal Crowd Flow Distribution Prediction for Complex Metro System. 865-880 - Kaiqi Zhao, Gao Cong, Xiucheng Li:
PGeoTopic: A Distributed Solution for Mining Geographical Topic Models. 881-893 - Xiangyu Ke, Arijit Khan, Mohammad Al Hasan, Rojin Rezvansangsari:
Reliability Maximization in Uncertain Graphs. 894-913 - Hongxu Chen, Hongzhi Yin, Tong Chen, Weiqing Wang, Xue Li, Xia Hu:
Social Boosted Recommendation With Folded Bipartite Network Embedding. 914-926 - Chenxu Wang, Wei Rao, Wenna Guo, Pinghui Wang, Jun Liu, Xiaohong Guan:
Towards Understanding the Instability of Network Embedding. 927-941 - Rong Wang, Jintang Bian, Feiping Nie, Xuelong Li:
Unsupervised Discriminative Projection for Feature Selection. 942-953 - Jie Feng, Yong Li, Zeyu Yang, Mingyang Zhang, Huandong Wang, Hancheng Cao, Depeng Jin:
User Identity Linkage via Co-Attentive Neural Network From Heterogeneous Mobility Data. 954-968 - Fan Yang, Zhiyuan Chen, Aryya Gangopadhyay:
Using Randomness to Improve Robustness of Tree-Based Models Against Evasion Attacks. 969-982 - Jiangyong Duan, Lili Guo:
Variable-Length Subsequence Clustering in Time Series. 983-995 - Wenrui Dai, Xiaoqian Jiang, Luca Bonomi, Yong Li, Hongkai Xiong, Lucila Ohno-Machado:
VERTICOX: Vertically Distributed Cox Proportional Hazards Model Using the Alternating Direction Method of Multipliers. 996-1010
Volume 34, Number 3, March 2022
- Hu-Chen Liu, Xue Luan, MengChu Zhou, Yun Xiong:
A New Linguistic Petri Net for Complex Knowledge Representation and Reasoning. 1011-1020 - Huan Rong, Victor S. Sheng, Tinghuai Ma, Yang Zhou, Mznah Al-Rodhaan:
A Self-Play and Sentiment-Emphasized Comment Integration Framework Based on Deep Q-Learning in a Crowdsourcing Scenario. 1021-1037 - Ju Jia, Liming Zhai, Weixiang Ren, Lina Wang, Yanzhen Ren:
An Effective Imbalanced JPEG Steganalysis Scheme Based on Adaptive Cost-Sensitive Feature Learning. 1038-1052 - Yang Song, Yu Gu, Rui Zhang, Ge Yu:
BrePartition: Optimized High-Dimensional kNN Search With Bregman Distances. 1053-1065 - Tao Sun, Dongsheng Li:
Capri: Consensus Accelerated Proximal Reweighted Iteration for A Class of Nonconvex Minimizations. 1066-1079 - Xingbo Du, Junchi Yan, Rui Zhang, Hongyuan Zha:
Cross-Network Skip-Gram Embedding for Joint Network Alignment and Link Prediction. 1080-1095 - Xuanhe Zhou, Chengliang Chai, Guoliang Li, Ji Sun:
Database Meets Artificial Intelligence: A Survey. 1096-1116 - Xiao Wang, Yuanfu Lu, Chuan Shi, Ruijia Wang, Peng Cui, Shuai Mou:
Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity. 1117-1132 - Tao Qiu, Xiaochun Yang, Bin Wang, Wei Wang:
Efficient Regular Expression Matching Based on Positional Inverted Index. 1133-1148 - Guozhong Li, Byron Choi, Jianliang Xu, Sourav S. Bhowmick, Kwok-Pan Chun, Grace Lai-Hung Wong:
Efficient Shapelet Discovery for Time Series Classification. 1149-1163 - Patricio Cerda, Gaël Varoquaux:
Encoding High-Cardinality String Categorical Variables. 1164-1176 - Yong Chen, Hui Zhang, Zhibao Tian, Jun Wang, Dell Zhang, Xuelong Li:
Enhanced Discrete Multi-Modal Hashing: More Constraints Yet Less Time to Learn. 1177-1190 - Na Ta, Kaiyu Li, Yi Yang, Fang Jiao, Zheng Tang, Guoliang Li:
Evaluating Public Anxiety for Topic-Based Communities in Social Networks. 1191-1205 - Zhen Wang, Chunyu Wang, Xianghua Li, Chao Gao, Xuelong Li, Junyou Zhu:
Evolutionary Markov Dynamics for Network Community Detection. 1206-1220 - Feiping Nie, Xiaowei Zhao, Rong Wang, Xuelong Li, Zhihui Li:
Fuzzy K-Means Clustering With Discriminative Embedding. 1221-1230 - Shuyin Xia, Hao Zhang, Wenhua Li, Guoyin Wang, Elisabeth Giem, Zizhong Chen:
GBNRS: A Novel Rough Set Algorithm for Fast Adaptive Attribute Reduction in Classification. 1231-1242 - Zhila Nouri Lewis, Yi-Cheng Tu:
G-PICS: A Framework for GPU-Based Spatial Indexing and Query Processing. 1243-1257 - Ting-Hsiang Wang, Hsiu-Wei Yang, Chih-Ming Chen, Ming-Feng Tsai, Chuan-Ju Wang:
Item Concept Network: Towards Concept-Based Item Representation Learning. 1258-1274 - Zhitao Wang, Chengyao Chen, Wenjie Li:
Joint Learning of User Representation With Diffusion Sequence and Network Structure. 1275-1287 - Xiaoou Ding, Hongzhi Wang, Jiaxuan Su, Muxian Wang, Jianzhong Li, Hong Gao:
Leveraging Currency for Repairing Inconsistent and Incomplete Data. 1288-1302 - Xiaofeng Gao, Shenwei Chen, Guihai Chen:
MAB-Based Reinforced Worker Selection Framework for Budgeted Spatial Crowdsensing. 1303-1316 - Wentao Zhang, Yuan Fang, Zemin Liu, Min Wu, Xinming Zhang:
mg2vec: Learning Relationship-Preserving Heterogeneous Graph Representations via Metagraph Embedding. 1317-1329 - Bin Wu, Xiangnan He, Yun Chen, Liqiang Nie, Kai Zheng, Yangdong Ye:
Modeling Product's Visual and Functional Characteristics for Recommender Systems. 1330-1343 - Suela Isaj, Torben Bach Pedersen, Esteban Zimányi:
Multi-Source Spatial Entity Linkage. 1344-1358 - Xianquan Zhang, Xuelong Li, Zhenjun Tang, Shichao Zhang, Shaomin Xie:
Noise Removal in Embedded Image With Bit Approximation. 1359-1369 - Luiz Henrique Zambom Santana, Ronaldo dos Santos Mello:
Persistence of RDF Data into NoSQL: A Survey and a Reference Architecture. 1370-1389 - Zuowu Zheng, Xiaofeng Gao, Xiao Ma, Guihai Chen:
Predicting Hot Events in the Early Period through Bayesian Model for Social Networks. 1390-1403 - Feiping Nie, Wei Chang, Zhanxuan Hu, Xuelong Li:
Robust Subspace Clustering With Low-Rank Structure Constraint. 1404-1415 - Yang Gao, Swarup Chandra, Yifan Li, Latifur Khan, Bhavani Thuraisingham:
SACCOS: A Semi-Supervised Framework for Emerging Class Detection and Concept Drift Adaption Over Data Streams. 1416-1426 - Jipeng Qiang, Zhenyu Qian, Yun Li, Yunhao Yuan, Xindong Wu:
Short Text Topic Modeling Techniques, Applications, and Performance: A Survey. 1427-1445 - Suining He, Kang G. Shin:
Spatio-Temporal Capsule-Based Reinforcement Learning for Mobility-on-Demand Coordination. 1446-1461 - Zheyi Pan, Wentao Zhang, Yuxuan Liang, Weinan Zhang, Yong Yu, Junbo Zhang, Yu Zheng:
Spatio-Temporal Meta Learning for Urban Traffic Prediction. 1462-1476 - Vo Nguyen Le Duy, Takuto Sakuma, Taiju Ishiyama, Hiroki Toda, Kazuya Arai, Masayuki Karasuyama, Yuta Okubo, Masayuki Sunaga, Hiroyuki Hanada, Yasuo Tabei, Ichiro Takeuchi:
Stat-DSM: Statistically Discriminative Sub-Trajectory Mining With Multiple Testing Correction. 1477-1488 - Issam M. Kouatli:
The Use of Fuzzy Logic as Augmentation to Quantitative Analysis to Unleash Knowledge of Participants' Uncertainty When Filling a Survey: Case of Cloud Computing. 1489-1500 - Dongxiang Zhang, Dongsheng Li, Long Guo, Kian-Lee Tan:
Unsupervised Entity Resolution With Blocking and Graph Algorithms. 1501-1515
Volume 34, Number 4, April 2022
- Rodica Neamtu, Ramoza Ahsan, Cuong Nguyen, Charles Lovering, Elke A. Rundensteiner, Gábor N. Sárközy:
A General Approach for Supporting Time Series Matching Using Multiple-Warped Distances. 1516-1529 - Arpan Man Sainju, Wenchong He, Zhe Jiang:
A Hidden Markov Contour Tree Model for Spatial Structured Prediction. 1530-1543 - David Alexander Tedjopurnomo, Zhifeng Bao, Baihua Zheng, Farhana Murtaza Choudhury, Alex Kai Qin:
A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges. 1544-1561 - Tianyi Hao, Jingbo Zhou, Yunsheng Cheng, Longbo Huang, Haishan Wu:
A Unified Framework for User Identification Across Online and Offline Data. 1562-1575 - Zhangjing Yang, Weiwu Yan, Xiaolin Huang, Lin Mei:
Adaptive Temporal-Frequency Network for Time-Series Forecasting. 1576-1587 - Rui Li, Alex X. Liu:
Adaptively Secure and Fast Processing of Conjunctive Queries Over Encrypted Data. 1588-1602 - Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini:
Adversarial Deep Embedded Clustering: On a Better Trade-off Between Feature Randomness and Feature Drift. 1603-1617 - Marco Capó, Aritz Pérez, José Antonio Lozano:
An Efficient Split-Merge Re-Start for the $K$K-Means Algorithm. 1618-1627 - Masoud Hemmatpour, Bartolomeo Montrucchio, Maurizio Rebaudengo, Mohammad Sadoghi:
Analyzing In-Memory NoSQL Landscape. 1628-1643 - Liang Peng, Yang Yang, Xiaopeng Zhang, Yanli Ji, Huimin Lu, Heng Tao Shen:
Answer Again: Improving VQA With Cascaded-Answering Model. 1644-1655 - Ali Khodadadi, Seyed Abbas Hosseini, Ehsan Pajouheshgar, Farnam Mansouri, Hamid R. Rabiee:
ChOracle: A Unified Statistical Framework for Churn Prediction. 1656-1666 - Shengli Sun, Weiping Li, Yimo Wang, Weilong Liao, Philip S. Yu:
Continuous Monitoring of Maximum Clique Over Dynamic Graphs. 1667-1683 - Daniel Rugeles, Zhen Hai, Manoranjan Dash, Gao Cong:
Deterministic Inference of Topic Models via Maximal Latent State Replication. 1684-1695 - Shujie Zhang, Zhengming Ma, Guokai Zhang, Weichao Gan:
Dimensionality Reduction Based on Multilocal Linear Pattern Preservation. 1696-1709 - Somnath Pal, Saptarshi Ghosh, Himika Biswas, Mitesh Patwari:
Discretization Using Combination of Heuristics for High Accuracy With Huge Noise Reduction. 1710-1722 - Huizhi Liang:
DRprofiling: Deep Reinforcement User Profiling for Recommendations in Heterogenous Information Networks. 1723-1734 - Péricles Silva de Oliveira, Altigran S. da Silva, Edleno Silva de Moura, Rosiane de Freitas:
Efficient Match-Based Candidate Network Generation for Keyword Queries Over Relational Databases. 1735-1750 - Jaewook Byun:
Enabling Time-Centric Computation for Efficient Temporal Graph Traversals From Multiple Sources. 1751-1762 - Tao Zhang, Tianqing Zhu, Jing Li, Mengde Han, Wanlei Zhou, Philip S. Yu:
Fairness in Semi-Supervised Learning: Unlabeled Data Help to Reduce Discrimination. 1763-1774 - Muzhi Guan, Meeyoung Cha, Yue Wang, Yong Li, Jingbo Sun:
From Anticipation to Action: Data Reveal Mobile Shopping Patterns During a Yearly Mega Sale Event in China. 1775-1787 - Peipei Yi, Byron Choi, Zhiwei Zhang, Sourav S. Bhowmick, Jianliang Xu:
GFocus: User Focus-Based Graph Query Autocompletion. 1788-1802 - Boyi Hou, Qun Chen, Yanyan Wang, Youcef Nafa, Zhanhuai Li:
Gradual Machine Learning for Entity Resolution. 1803-1814 - Yi Cui, Di Xiao, Daren B. H. Cline, Dmitri Loguinov:
Improving I/O Complexity of Triangle Enumeration. 1815-1828 - Guojie Song, Liang Zhang, Ziyao Li, Yi Li:
Large Scale Network Embedding: A Separable Approach. 1829-1842 - Dingqi Yang, Bingqing Qu, Jie Yang, Philippe Cudré-Mauroux:
LBSN2Vec++: Heterogeneous Hypergraph Embedding for Location-Based Social Networks. 1843-1855 - Shuai Jiang, Kan Li, Richard Yi Da Xu:
Magnitude Bounded Matrix Factorisation for Recommender Systems. 1856-1869 - Adriano Augusto, Abel Armas-Cervantes, Raffaele Conforti, Marlon Dumas, Marcello La Rosa:
Measuring Fitness and Precision of Automatically Discovered Process Models: A Principled and Scalable Approach. 1870-1888 - Napsu Karmitsa, Sona Taheri, Adil M. Bagirov, Pauliina Mäkinen:
Missing Value Imputation via Clusterwise Linear Regression. 1889-1901 - Meng Chen, Yan Zhao, Yang Liu, Xiaohui Yu, Kai Zheng:
Modeling Spatial Trajectories With Attribute Representation Learning. 1902-1914 - Lin Gui, Jia Leng, Jiyun Zhou, Ruifeng Xu, Yulan He:
Multi Task Mutual Learning for Joint Sentiment Classification and Topic Detection. 1915-1927 - Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Guihai Chen:
Online Pricing With Reserve Price Constraint for Personal Data Markets. 1928-1943 - Yuxia Wu, Ke Li, Guoshuai Zhao, Xueming Qian:
Personalized Long- and Short-term Preference Learning for Next POI Recommendation. 1944-1957 - Hejun Wu, Xinchuan Huang, Qiong Luo, Zhongheng Yang:
PPD: A Scalable and Efficient Parallel Primal-Dual Coordinate Descent Algorithm. 1958-1966 - Xiaofeng Ding, Hongbiao Fang, Zhilin Zhang, Kim-Kwang Raymond Choo, Hai Jin:
Privacy-Preserving Feature Extraction via Adversarial Training. 1967-1979 - Xiang Li, Yao Wu, Martin Ester, Ben Kao, Xin Wang, Yudian Zheng:
SCHAIN-IRAM: An Efficient and Effective Semi-Supervised Clustering Algorithm for Attributed Heterogeneous Information Networks. 1980-1992 - Taotao Cai, Jianxin Li, Ajmal Mian, Rong-Hua Li, Timos Sellis, Jeffrey Xu Yu:
Target-Aware Holistic Influence Maximization in Spatial Social Networks. 1993-2007 - Feiping Nie, Wei Zhu, Xuelong Li:
Unsupervised Large Graph Embedding Based on Balanced and Hierarchical K-Means. 2008-2019
Volume 34, Number 5, May 2022
- Dongsheng Luo, Shuai Ma, Yaowei Yan, Chunming Hu, Xiang Zhang, Jinpeng Huai:
A Collective Approach to Scholar Name Disambiguation. 2020-2032 - Wenqi Fan, Yao Ma, Qing Li, Jianping Wang, Guoyong Cai, Jiliang Tang, Dawei Yin:
A Graph Neural Network Framework for Social Recommendations. 2033-2047 - Congcong Ge, Yunjun Gao, Xiaoye Miao, Bin Yao, Haobo Wang:
A Hybrid Data Cleaning Framework Using Markov Logic Networks. 2048-2062 - Fei Ma, Ping Wang, Xudong Luo:
A Method for Geodesic Distance on Subdivision of Trees With Arbitrary Orders and Their Applications. 2063-2075 - Donghua Liu, Jia Wu, Jing Li, Bo Du, Jun Chang, Xuefei Li:
Adaptive Hierarchical Attention-Enhanced Gated Network Integrating Reviews for Item Recommendation. 2076-2090 - Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, Xiangliang Zhang:
CMAL: Cost-Effective Multi-Label Active Learning by Querying Subexamples. 2091-2105 - Guo Zhong, Chi-Man Pun:
Data Representation by Joint Hypergraph Embedding and Sparse Coding. 2106-2119 - Kun Kuang, Peng Cui, Hao Zou, Bo Li, Jianrong Tao, Fei Wu, Shiqiang Yang:
Data-Driven Variable Decomposition for Treatment Effect Estimation. 2120-2134 - Ahmed Al-Baghdadi, Gokarna Sharma, Xiang Lian:
Efficient Processing of Group Planning Queries Over Spatial-Social Networks. 2135-2147 - Yanjie Tan, Huailiang Tan, Peng Zhu, Youyou Lu, Zaihong He:
Embedded Transaction Support Inside SSD With Small-Capacity Non-Volatile Disk Cache. 2148-2163 - Manish Aggarwal:
Entropy-Based Subjective Choice Models. 2164-2175 - Wangda Zhang, Kenneth A. Ross:
Exploiting Data Skew for Improved Query Performance. 2176-2189 - Mengyun Yang, Yaohang Li, Jianxin Wang:
Feature and Nuclear Norm Minimization for Matrix Completion. 2190-2199 - Aritra Konar, Nicholas D. Sidiropoulos:
Graph Matching Via the Lens of Supermodularity. 2200-2211 - Zafaryab Rasool, Rui Zhou, Lu Chen, Chengfei Liu, Jiajie Xu:
Index-Based Solutions for Efficient Density Peak Clustering. 2212-2226 - Aindrila Ghosh, Mona Nashaat, James Miller, Shaikh Quader:
Interpretation of Structural Preservation in Low-Dimensional Embeddings. 2227-2240 - Zhifang Li, Beicheng Peng, Qiuli Huang, Chuliang Weng:
Karst: Transactional Data Ingestion Without Blocking on a Scalable Architecture. 2241-2253 - Hao Chen, Chenwei Zhang, Jun Li, Philip S. Yu, Ning Jing:
KGGen: A Generative Approach for Incipient Knowledge Graph Population. 2254-2267 - Wei Ye, Omid Askarisichani, Alex T. Jones, Ambuj K. Singh:
Learning Deep Graph Representations via Convolutional Neural Networks. 2268-2279 - Jintao Ke, Feng Xiao, Hai Yang, Jieping Ye:
Learning to Delay in Ride-Sourcing Systems: A Multi-Agent Deep Reinforcement Learning Framework. 2280-2292 - Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang:
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy. 2293-2305 - Chong-zhi Gao, Jin Li, Shi-bing Xia, Kim-Kwang Raymond Choo, Wenjing Lou, Changyu Dong:
MAS-Encryption and its Applications in Privacy-Preserving Classifiers. 2306-2323 - Yi Sun, Lijun Cai, Bo Liao, Wen Zhu:
Minority Sub-Region Estimation-Based Oversampling for Imbalance Learning. 2324-2334 - Zhaoli Zhang, Zhifei Li, Hai Liu, Neal N. Xiong:
Multi-Scale Dynamic Convolutional Network for Knowledge Graph Embedding. 2335-2347 - Junkai Sun, Junbo Zhang, Qiaofei Li, Xiuwen Yi, Yuxuan Liang, Yu Zheng:
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks. 2348-2359 - Jie Feng, Yong Li, Zeyu Yang, Qiang Qiu, Depeng Jin:
Predicting Human Mobility With Semantic Motivation via Multi-Task Attentional Recurrent Networks. 2360-2374 - Panagiotis Liakos, Katia Papakonstantinopoulou, Alexandros Ntoulas, Alex Delis:
Rapid Detection of Local Communities in Graph Streams. 2375-2386 - An Liu, Yifan Zhang, Xiangliang Zhang, Guanfeng Liu, Yanan Zhang, Zhixu Li, Lei Zhao, Qing Li, Xiaofang Zhou:
Representation Learning With Multi-Level Attention for Activity Trajectory Similarity Computation. 2387-2400 - Nesreen K. Ahmed, Ryan A. Rossi, John Boaz Lee, Theodore L. Willke, Rong Zhou, Xiangnan Kong, Hoda Eldardiry:
Role-Based Graph Embeddings. 2401-2415 - Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone, Joseph Trotta:
Semantic Interpretation of Top-N Recommendations. 2416-2428 - Yunlong Mi, Wenqi Liu, Yong Shi, Jinhai Li:
Semi-Supervised Concept Learning by Concept-Cognitive Learning and Concept Space. 2429-2442 - Yu Lei, Zhitao Wang, Wenjie Li, Hongbin Pei, Quanyu Dai:
Social Attentive Deep Q-Networks for Recommender Systems. 2443-2457 - Mengxuan Zhang, Lei Li, Wen Hua, Xiaofang Zhou:
Stream Processing of Shortest Path Query in Dynamic Road Networks. 2458-2471 - Chi Harold Liu, Yu Wang, Chengzhe Piao, Zipeng Dai, Ye Yuan, Guoren Wang, Dapeng Wu:
Time-Aware Location Prediction by Convolutional Area-of-Interest Modeling and Memory-Augmented Attentive LSTM. 2472-2484 - Lizi Liao, Ryuichi Takanobu, Yunshan Ma, Xun Yang, Minlie Huang, Tat-Seng Chua:
Topic-Guided Conversational Recommender in Multiple Domains. 2485-2496 - Xiaofeng Gao, Xiaosong Jia, Chaoqi Yang, Guihai Chen:
Using Survival Theory in Early Pattern Detection for Viral Cascades. 2497-2511 - Pengpeng Zhao, Anjing Luo, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation. 2512-2524
Volume 34, Number 6, June 2022
- Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, Xindong Wu:
A Data-Characteristic-Aware Latent Factor Model for Web Services QoS Prediction. 2525-2538 - Zhen Peng, Minnan Luo, Jundong Li, Luguo Xue, Qinghua Zheng:
A Deep Multi-View Framework for Anomaly Detection on Attributed Networks. 2539-2552 - Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang:
A Review for Weighted MinHash Algorithms. 2553-2573 - Meng Wang, Weijie Fu, Xiangnan He, Shijie Hao, Xindong Wu:
A Survey on Large-Scale Machine Learning. 2574-2594 - Yunpeng Chai, Yanfeng Chai, Xin Wang, Haocheng Wei, Yangyang Wang:
Adaptive Lower-Level Driven Compaction to Optimize LSM-Tree Key-Value Stores. 2595-2609 - Xiang Zhao, Weixin Zeng, Jiuyang Tang, Wei Wang, Fabian M. Suchanek:
An Experimental Study of State-of-the-Art Entity Alignment Approaches. 2610-2625 - Fan Liu, Xingshe Zhou, Jinli Cao, Zhu Wang, Tianben Wang, Hua Wang, Yanchun Zhang:
Anomaly Detection in Quasi-Periodic Time Series Based on Automatic Data Segmentation and Attentional LSTM-CNN. 2626-2640 - Sourav Medya, Arlei Silva, Ambuj K. Singh:
Approximate Algorithms for Data-Driven Influence Limitation. 2641-2652 - Niannan Xue, Bin Liu, Huifeng Guo, Ruiming Tang, Fengwei Zhou, Stefanos Zafeiriou, Yuzhou Zhang, Jun Wang, Zhenguo Li:
AutoHash: Learning Higher-Order Feature Interactions for Deep CTR Prediction. 2653-2666 - Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma:
Collaborative List-and-Pairwise Filtering From Implicit Feedback. 2667-2680 - Faizan Ahmad, Ahmed Abbasi, Brent Kitchens, Donald A. Adjeroh, Daniel Zeng:
Deep Learning for Adverse Event Detection From Web Search. 2681-2695 - Ren Ren, Jinliang Shao, Yuhua Cheng, Xiaofan Wang:
Detecting Hierarchical and Overlapping Network Communities Based on Opinion Dynamics. 2696-2710 - Zengyou He, Hao Liang, Zheng Chen, Can Zhao, Yan Liu:
Detecting Statistically Significant Communities. 2711-2725 - Tsz Nam Chan, Leong Hou U, Reynold Cheng, Man Lung Yiu, Shivansh Mittal:
Efficient Algorithms for Kernel Aggregation Queries. 2726-2739 - Yu Zhang, Kanat Tangwongsan, Srikanta Tirthapura:
Fast Streaming k-Means Clustering With Coreset Caching. 2740-2754 - Kun Ouyang, Yuxuan Liang, Ye Liu, Zekun Tong, Sijie Ruan, Yu Zheng, David S. Rosenblum:
Fine-Grained Urban Flow Inference. 2755-2770 - Justin Sybrandt, Ruslan Shaydulin, Ilya Safro:
Hypergraph Partitioning With Embeddings. 2771-2782 - Zhuo Tang, Mengsi He, Zhongming Fu, Li Yang:
IncGraph: An Improved Distributed Incremental Graph Computing Model and Framework Based on Spark GraphX. 2783-2797 - Chen Gao, Chao Huang, Donghan Yu, Haohao Fu, Tzu-Heng Lin, Depeng Jin, Yong Li:
Item Recommendation for Word-of-Mouth Scenario in Social E-Commerce. 2798-2809 - Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu:
Iterative Refinement for Multi-Source Visual Domain Adaptation. 2810-2823 - Tianqing Zhu, Dayong Ye, Wei Wang, Wanlei Zhou, Philip S. Yu:
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence. 2824-2843 - Chen Feng, Luoyi Fu, Bo Jiang, Haisong Zhang, Xinbing Wang, Feilong Tang, Guihai Chen:
Neighborhood Matters: Influence Maximization in Social Networks With Limited Access. 2844-2859 - Hui-Jia Li, Zhen Wang, Jie Cao, Jian Pei, Yong Shi:
Optimal Estimation of Low-Rank Factors via Feature Level Data Fusion of Multiplex Signal Systems. 2860-2871 - Jiyuan Liu, Xinwang Liu, Jian Xiong, Qing Liao, Sihang Zhou, Siwei Wang, Yuexiang Yang:
Optimal Neighborhood Multiple Kernel Clustering With Adaptive Local Kernels. 2872-2885 - Wentao Wang, Guowei Xu, Wenbiao Ding, Gale Yan Huang, Guoliang Li, Jiliang Tang, Zitao Liu:
Representation Learning From Limited Educational Data With Crowdsourced Labels. 2886-2898 - Khalid Benabdeslem, Dou El Kefel Mansouri, Raywat Makkhongkaew:
sCOs: Semi-Supervised Co-Selection by a Similarity Preserving Approach. 2899-2911 - Wenchong He, Zhe Jiang:
Semi-Supervised Learning With the EM Algorithm: A Comparative Study Between Unstructured and Structured Prediction. 2912-2920 - Chen Gao, Nian Li, Tzu-Heng Lin, Dongsheng Lin, Jun Zhang, Yong Li, Depeng Jin:
Social Recommendation With Characterized Regularization. 2921-2933 - Chen Lin, Dugang Liu, Hanghang Tong, Yanghua Xiao:
Spiral of Silence and Its Application in Recommender Systems. 2934-2947 - Xinghao Yang, Weifeng Liu, Wei Liu:
Tensor Canonical Correlation Analysis Networks for Multi-View Remote Sensing Scene Recognition. 2948-2961 - Tianqing Zhu, Jin Li, Xiangyu Hu, Ping Xiong, Wanlei Zhou:
The Dynamic Privacy-Preserving Mechanisms for Online Dynamic Social Networks. 2962-2974 - Xiaokun Wu, Tian-Fang Zhao, Wei-Neng Chen, Jun Zhang:
Toward Predicting Active Participants in Tweet Streams: A Case Study on Two Civil Rights Events. 2975-2987 - Uchenna Akujuobi, Michael Spranger, Sucheendra K. Palaniappan, Xiangliang Zhang:
T-PAIR: Temporal Node-Pair Embedding for Automatic Biomedical Hypothesis Generation. 2988-3001 - Jielei Chu, Hongjun Wang, Jing Liu, Zhiguo Gong, Tianrui Li:
Unsupervised Feature Learning Architecture With Multi-Clustering Integration RBM. 3002-3015 - Xiaofeng Zhu, Shichao Zhang, Yonghua Zhu, Pengfei Zhu, Yue Gao:
Unsupervised Spectral Feature Selection With Dynamic Hyper-Graph Learning. 3016-3028
Volume 34, Number 7, July 2022
- Chang-Dong Wang, Wu-Dong Xi, Ling Huang, Yin-Yu Zheng, Zi-Yuan Hu, Jian-Huang Lai:
A BP Neural Network Based Recommender Framework With Attention Mechanism. 3029-3043 - Zeyi Wen, Mingyu Liang, Bingsheng He, Zexin Xia:
A High-Performance Index for Real-Time Matrix Retrieval. 3044-3056 - Mahlagha Sedghi, Michael Georgiopoulos, George K. Atia:
A Multi-Criteria Approach for Fast and Robust Representative Selection from Manifolds. 3057-3071 - Zohaib M. Jan, Juan Carlos Munos, Asim Ali:
A Novel Method for Creating an Optimized Ensemble Classifier by Introducing Cluster Size Reduction and Diversity. 3072-3081 - Xuanming Liu, Tingjian Ge, Yinghui Wu:
A Stochastic Approach to Finding Densest Temporal Subgraphs in Dynamic Graphs. 3082-3094 - Antonio Coronato, Alfredo Cuzzocrea:
An Innovative Risk Assessment Methodology for Medical Information Systems. 3095-3110 - Lusi Li, Haibo He:
Bipartite Graph Based Multi-View Clustering. 3111-3125 - Dong Wen, Bohua Yang, Lu Qin, Ying Zhang, Lijun Chang, Rong-Hua Li:
Computing K-Cores in Large Uncertain Graphs: An Index-Based Optimal Approach. 3126-3138 - Bo Chen, Jing Zhang, Jie Tang, Lingfan Cai, Zhaoyu Wang, Shu Zhao, Hong Chen, Cuiping Li:
CONNA: Addressing Name Disambiguation on the Fly. 3139-3152 - Sean Bin Yang, Chenjuan Guo, Bin Yang:
Context-Aware Path Ranking in Road Networks. 3153-3168 - Yan Zhang, Ivor W. Tsang, Hongzhi Yin, Guowu Yang, Defu Lian, Jingjing Li:
Deep Pairwise Hashing for Cold-Start Recommendation. 3169-3181 - Yu Gu, Kaiqiang Yu, Zhen Song, Jianzhong Qi, Zhigang Wang, Ge Yu, Rui Zhang:
Distributed Hypergraph Processing Using Intersection Graphs. 3182-3195 - Yawen Li, Ye Yuan, Yishu Wang, Xiang Lian, Yuliang Ma, Guoren Wang:
Distributed Multimodal Path Queries. 3196-3210 - Huiting Hong, Xin Li, Yuangang Pan, Ivor W. Tsang:
Domain-Adversarial Network Alignment. 3211-3224 - Yue Wang, Zhe Wang, Ziyuan Zhao, Zijian Li, Xun Jian, Hao Xin, Lei Chen, Jianchun Song, Zhenhong Chen, Meng Zhao:
Effective Similarity Search on Heterogeneous Networks: A Meta-Path Free Approach. 3225-3240 - Zhenkui Shi, Xuemei Fu, Xianxian Li, Kai Zhu:
ESVSSE: Enabling Efficient, Secure, Verifiable Searchable Symmetric Encryption. 3241-3254 - T.-H. Hubert Chan, Arnaud Guerquin, Shuguang Hu, Mauro Sozio:
Fully Dynamic $k$k-Center Clustering With Improved Memory Efficiency. 3255-3266 - Zhiwen Yu, Zhongfan Zhang, Wenming Cao, Cheng Liu, C. L. Philip Chen, Hau-San Wong:
GAN-Based Enhanced Deep Subspace Clustering Networks. 3267-3281 - Shengmin Jin, Vir V. Phoha, Reza Zafarani:
Graph-Based Identification and Authentication: A Stochastic Kronecker Approach. 3282-3294 - Minxin Du, Shuangke Wu, Qian Wang, Dian Chen, Peipei Jiang, Aziz Mohaisen:
GraphShield: Dynamic Large Graphs for Secure Queries With Forward Privacy. 3295-3308 - Maoguo Gong, Wenfeng Liu, Yu Xie, Zedong Tang, Mingliang Xu:
Heuristic 3D Interactive Walks for Multilayer Network Embedding. 3309-3321 - Moshe Unger, Alexander Tuzhilin:
Hierarchical Latent Context Representation for Context-Aware Recommendations. 3322-3334 - Rong-Hua Li, Qiushuo Song, Xiaokui Xiao, Lu Qin, Guoren Wang, Jeffrey Xu Yu, Rui Mao:
I/O-Efficient Algorithms for Degeneracy Computation on Massive Networks. 3335-3348 - Khanh Luong, Richi Nayak:
Learning Inter- and Intra-Manifolds for Matrix Factorization-Based Multi-Aspect Data Clustering. 3349-3362 - Heri Wijayanto, Wenlu Wang, Wei-Shinn Ku, Arbee L. P. Chen:
LShape Partitioning: Parallel Skyline Query Processing Using $MapReduce$MapReduce. 3363-3376 - Pradumn Kumar Pandey, Bibhas Adhikari, Mainak Mazumdar, Niloy Ganguly:
Modeling Signed Networks as 2-Layer Growing Networks. 3377-3390 - Xinyi Zhang, Lihui Chen:
mSHINE: A Multiple-Meta-Paths Simultaneous Learning Framework for Heterogeneous Information Network Embedding. 3391-3404 - Bao-Yu Liu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
Multi-View Consensus Proximity Learning for Clustering. 3405-3417 - Weixuan Liang, Sihang Zhou, Jian Xiong, Xinwang Liu, Siwei Wang, En Zhu, Zhiping Cai, Xin Xu:
Multi-View Spectral Clustering With High-Order Optimal Neighborhood Laplacian Matrix. 3418-3430 - Chih-Ya Shen, Hong-Han Shuai, De-Nian Yang, Guang-Siang Lee, Liang-Hao Huang, Wang-Chien Lee, Ming-Syan Chen:
On Extracting Socially Tenuous Groups for Online Social Networks With $k$k-Triangles. 3431-3446 - Hongzhi Yin, Qinyong Wang, Kai Zheng, Zhixu Li, Xiaofang Zhou:
Overcoming Data Sparsity in Group Recommendation. 3447-3460 - Yan Zhao, Kai Zheng, Hongzhi Yin, Guanfeng Liu, Junhua Fang, Xiaofang Zhou:
Preference-Aware Task Assignment in Spatial Crowdsourcing: From Individuals to Groups. 3461-3477 - Kostas Kolomvatsos, Christos Anagnostopoulos, Maria G. Koziri, Thanasis Loukopoulos:
Proactive & Time-Optimized Data Synopsis Management at the Edge. 3478-3490 - Otmar Ertl:
ProbMinHash - A Class of Locality-Sensitive Hash Algorithms for the (Probability) Jaccard Similarity. 3491-3506 - Jiarong Xu, Yang Yang, Chunping Wang, Zongtao Liu, Jing Zhang, Lei Chen, Jiangang Lu:
Robust Network Enhancement From Flawed Networks. 3507-3520 - Yurong Cheng, Lei Chen, Ye Yuan, Guoren Wang, Boyang Li, Fusheng Jin:
Strict and Flexible Rule-Based Graph Repairing. 3521-3535
Volume 34, Number 8, August 2022
- Dichao Li, Zhiguo Gong:
A Deep Neural Network for Crossing-City POI Recommendations. 3536-3548 - Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He:
A Survey on Knowledge Graph-Based Recommender Systems. 3549-3568 - Saheli Ghosh, Ahmed Eldawy:
AID*: A Spatial Index for Visual Exploration of Geo-Spatial Data. 3569-3582 - Yi Xu, Yongxin Tong, Yexuan Shi, Qian Tao, Ke Xu, Wei Li:
An Efficient Insertion Operator in Dynamic Ridesharing Services. 3583-3596 - Tieyun Qian, Yile Liang, Qing Li, Hui Xiong:
Attribute Graph Neural Networks for Strict Cold Start Recommendation. 3597-3610 - Hao Xiong, Junchi Yan:
BTWalk: Branching Tree Random Walk for Multi-Order Structured Network Embedding. 3611-3628 - Chen Jason Zhang, Haodi Zhang, Weiteng Xie, Nan Liu, Qifan Li, Di Jiang, Peiguang Lin, Kaishun Wu, Lei Chen:
Cleaning Uncertain Data With Crowdsourcing - A General Model With Diverse Accuracy Rates. 3629-3642 - Giancarlo Pastor, Inmaculada Mora-Jiménez, Riku Jäntti, Antonio J. Caamaño:
Constructing Measures of Sparsity. 3643-3654 - Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Maosong Sun, Zhichong Fang, Bo Zhang, Leyu Lin:
COSINE: Compressive Network Embedding on Large-Scale Information Networks. 3655-3668 - Renchu Guan, Hao Zhang, Yanchun Liang, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng:
Deep Feature-Based Text Clustering and its Explanation. 3669-3680 - Senzhang Wang, Jiannong Cao, Philip S. Yu:
Deep Learning for Spatio-Temporal Data Mining: A Survey. 3681-3700 - Chihao Zhang, Yang Yang, Wei Zhou, Shihua Zhang:
Distributed Bayesian Matrix Decomposition for Big Data Mining and Clustering. 3701-3713 - Jing Lu, Yuhai Zhao, Kian-Lee Tan, Zhengkui Wang:
Distributed Density Peaks Clustering Revisited. 3714-3726 - Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui:
Enhancing Social Recommendation With Adversarial Graph Convolutional Networks. 3727-3739 - Yangyang Guo, Zhiyong Cheng, Jiazheng Jing, Yanpeng Lin, Liqiang Nie, Meng Wang:
Enhancing Factorization Machines With Generalized Metric Learning. 3740-3753 - Maoguo Gong, Shunfei Ji, Yu Xie, Yuan Gao, Alex Kai Qin:
Exploring Temporal Information for Dynamic Network Embedding. 3754-3764 - Zhangqing Shan, Weiwei Sun, Baihua Zheng:
Extract Human Mobility Patterns Powered by City Semantic Diagram. 3765-3778 - Renjie Wu, Eamonn J. Keogh:
FastDTW is Approximate and Generally Slower Than the Algorithm it Approximates. 3779-3785 - Zhengyang Zhou, Yang Wang, Xike Xie, Lianliang Chen, Chaochao Zhu:
Foresee Urban Sparse Traffic Accidents: A Spatiotemporal Multi-Granularity Perspective. 3786-3799 - Dawei Cheng, Xiaoyang Wang, Ying Zhang, Liqing Zhang:
Graph Neural Network for Fraud Detection via Spatial-Temporal Attention. 3800-3813 - Yunpeng Weng, Liang Chen, Xu Chen:
Identifying User Relationship on WeChat Money-Gifting Network. 3814-3825 - Wenzhang Zhuge, Hong Tao, Tingjin Luo, Ling-Li Zeng, Chenping Hou, Dongyun Yi:
Joint Representation Learning and Clustering: A Framework for Grouping Partial Multiview Data. 3826-3840 - Jingxin Liu, Chang Xu, Chang Yin, Weiqiang Wu, You Song:
K-Core Based Temporal Graph Convolutional Network for Dynamic Graphs. 3841-3853 - Pan Li, Alexander Tuzhilin:
Learning Latent Multi-Criteria Ratings From User Reviews for Recommendations. 3854-3866 - Prashanth Menon, Thamir M. Qadah, Tilmann Rabl, Mohammad Sadoghi, Hans-Arno Jacobsen:
LogStore: A Workload-Aware, Adaptable Key-Value Store on Hybrid Storage Systems. 3867-3882 - Wei Fang, Qiang Zhang, Jun Sun, Xiaojun Wu:
Mining High Quality Patterns Using Multi-Objective Evolutionary Algorithm. 3883-3898 - Anatoli U. Shein, Panos K. Chrysanthis:
Multi-Query Optimization of Incrementally Evaluated Sliding-Window Aggregations. 3899-3911 - Yicheng Yang, Jae Kwang Kim, In Ho Cho:
Parallel Fractional Hot-Deck Imputation and Variance Estimation for Big Incomplete Data Curing. 3912-3926 - Hongchao Qin, Rong-Hua Li, Ye Yuan, Guoren Wang, Weihua Yang, Lu Qin:
Periodic Communities Mining in Temporal Networks: Concepts and Algorithms. 3927-3945 - Mengqi Zhang, Shu Wu, Meng Gao, Xin Jiang, Ke Xu, Liang Wang:
Personalized Graph Neural Networks With Attention Mechanism for Session-Aware Recommendation. 3946-3957 - Xin Luo, Ye Yuan, Sili Chen, Nianyin Zeng, Zidong Wang:
Position-Transitional Particle Swarm Optimization-Incorporated Latent Factor Analysis. 3958-3970 - Hang Zhang, Weike Liu, Qingbao Liu:
Reinforcement Online Active Learning Ensemble for Drifting Imbalanced Data Streams. 3971-3983 - Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Tong Xu, Hui Xiong:
Semi-Supervised City-Wide Parking Availability Prediction via Hierarchical Recurrent Graph Neural Network. 3984-3996 - Weiyu Ji, Xiangwu Meng, Yujie Zhang:
SPATM: A Social Period-Aware Topic Model for Personalized Venue Recommendation. 3997-4010 - Cunlai Pu, Jie Li, Jian Wang, Tony Q. S. Quek:
The Node-Similarity Distribution of Complex Networks and Its Applications in Link Prediction. 4011-4023 - Xiaoye Miao, Yunjun Gao, Lu Chen, Huanhuan Peng, Jianwei Yin, Qing Li:
Towards Query Pricing on Incomplete Data. 4024-4036 - Jinbin Huang, Xin Huang, Jianliang Xu:
Truss-Based Structural Diversity Search in Large Graphs. 4037-4051
Volume 34, Number 9, September 2022
- Yahya Almardeny, Noureddine Boujnah, Frances Cleary:
A Novel Outlier Detection Method for Multivariate Data. 4052-4062 - Chao Han, Jian Chen, Mingkui Tan, Michael K. Ng, Qingyao Wu:
A Tensor-Based Markov Chain Model for Heterogeneous Information Network Collective Classification. 4063-4076 - Fan Liu, Zhiyong Cheng, Lei Zhu, Chenghao Liu, Liqiang Nie:
An Attribute-Aware Attentive GCN Model for Attribute Missing in Recommendation. 4077-4088 - Lukás Chrpa, Roman Barták, Jindrich Vodrázka, Marta Vomlelová:
Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning. 4089-4101 - Han Kyu Lee, Jiyoon Lee, Seoung Bum Kim:
Boundary-Focused Generative Adversarial Networks for Imbalanced and Multimodal Time Series. 4102-4118 - Xupeng Miao, Lingxiao Ma, Zhi Yang, Yingxia Shao, Bin Cui, Lele Yu, Jiawei Jiang:
CuWide: Towards Efficient Flow-Based Training for Sparse Wide Models on GPUs. 4119-4132 - Yuanbo Xu, Yongjian Yang, En Wang, Fuzhen Zhuang, Hui Xiong:
Detect Professional Malicious User With Metric Learning in Recommender Systems. 4133-4146 - Wentai Wu, Ligang He, Weiwei Lin, Yi Su, Yuhua Cui, Carsten Maple, Stephen A. Jarvis:
Developing an Unsupervised Real-Time Anomaly Detection Scheme for Time Series With Multi-Seasonality. 4147-4160 - Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong:
Easy-But-Effective Domain Sub-Similarity Learning for Transfer Regression. 4161-4171 - Zichen Zhu, Tsz Nam Chan, Reynold Cheng, Loc Do, Zhipeng Huang, Haoci Zhang:
Effective and Efficient Discovery of Top-k Meta Paths in Heterogeneous Information Networks. 4172-4185 - Kai Wang, Shuting Wang, Xin Cao, Lu Qin:
Efficient Radius-Bounded Community Search in Geo-Social Networks. 4186-4200 - Thanh Tam Nguyen, Thanh Trung Huynh, Hongzhi Yin, Tong Van Vinh, Darnbi Sakong, Bolong Zheng, Quoc Viet Hung Nguyen:
Entity Alignment for Knowledge Graphs With Multi-Order Convolutional Networks. 4201-4214 - Can Lu, Jeffrey Xu Yu, Hao Wei, Yikai Zhang:
Enumerating Maximum Cliques in Massive Graphs. 4215-4230 - Wentian Guo, Yuchen Li, Kian-Lee Tan:
Exploiting Reuse for GPU Subgraph Enumeration. 4231-4244 - Jing Li, Billy Chiu, Shanshan Feng, Hao Wang:
Few-Shot Named Entity Recognition via Meta-Learning. 4245-4256 - Yunpeng Weng, Xu Chen, Liang Chen, Wei Liu:
GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning Over Large-Scale Graphs. 4257-4269 - Deqing Yang, Chenlu Shen, Baichuan Liu, Lyuxin Xue, Yanghua Xiao:
Generating Knowledge-Based Attentive User Representations for Sparse Interaction Recommendation. 4270-4284 - Changyu Wang, Kevin Chen-Chuan Chang, Pinghui Wang, Tao Qin, Xiaohong Guan:
Heterogeneous Network Crawling: Reaching Target Nodes by Motif-Guided Navigation. 4285-4297 - Ming Pang, Kai Ming Ting, Peng Zhao, Zhi-Hua Zhou:
Improving Deep Forest by Screening. 4298-4312 - Longxu Sun, Xin Huang, Rong-Hua Li, Byron Choi, Jianliang Xu:
Index-Based Intimate-Core Community Search in Large Weighted Graphs. 4313-4327 - Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon:
Learning Inter-Modal Correspondence and Phenotypes From Multi-Modal Electronic Health Records. 4328-4341 - Shiyu Cheng, Dongsheng Yang, Tong Yang, Haowei Zhang, Bin Cui:
LTC: A Fast Algorithm to Accurately Find Significant Items in Data Streams. 4342-4356 - Antonis Matakos, Çigdem Aslay, Esther Galbrun, Aristides Gionis:
Maximizing the Diversity of Exposure in a Social Network. 4357-4370 - Laizhong Cui, Sudipta Acharya, Sumit Mishra, Yi Pan, Joshua Zhexue Huang:
MMCo-Clus - An Evolutionary Co-clustering Algorithm for Gene Selection. 4371-4384 - Yang Liu, Liang Chen, Xiangnan He, Jiaying Peng, Zibin Zheng, Jie Tang:
Modelling High-Order Social Relations for Item Recommendation. 4385-4397 - George Panagopoulos, Fragkiskos D. Malliaros, Michalis Vazirgiannis:
Multi-Task Learning for Influence Estimation and Maximization. 4398-4409 - Li Ye, Hong Xie, Yishi Lin, John C. S. Lui:
Rewarding Social Recommendation in OSNs: Empirical Evidences, Modeling and Optimization. 4410-4424 - Khanh Nguyen, Trung Le, Tu Dinh Nguyen, Geoffrey I. Webb, Dinh Phung:
Robust Variational Learning for Multiclass Kernel Models With Stein Refinement. 4425-4438 - Jiani Liu, Ce Zhu, Yipeng Liu:
Smooth Compact Tensor Ring Regression. 4439-4452 - Youhuan Li, Lei Zou, M. Tamer Özsu, Dongyan Zhao:
Space-Efficient Subgraph Search Over Streaming Graph With Timing Order Constraint. 4453-4467 - Sendong Zhao, Meng Jiang, Bing Qin, Ting Liu, ChengXiang Zhai, Fei Wang:
Structural and Textual Information Fusion for Symptom and Disease Representation Learning. 4468-4483 - Songsong Mo, Zhifeng Bao, Baihua Zheng, Zhiyong Peng:
Towards an Optimal Bus Frequency Scheduling: When the Waiting Time Matters. 4484-4498 - Fengmei Jin, Wen Hua, Thomas Zhou, Jiajie Xu, Matteo Francia, Maria E. Orlowska, Xiaofang Zhou:
Trajectory-Based Spatiotemporal Entity Linking. 4499-4513 - Yibin Shen, Cheqing Jin, Jiaxun Hua, Dingjiang Huang:
TTPNet: A Neural Network for Travel Time Prediction Based on Tensor Decomposition and Graph Embedding. 4514-4526 - Masoud Nosrati, Ying Cai:
Verifying the Correctness of Analytic Query Results. 4527-4537 - MeiYu Liang, Junping Du, Linghui Li, Zhe Xue, Xiaoxiao Wang, Feifei Kou, Xu Wang:
Video Super-Resolution Reconstruction Based on Deep Learning and Spatio-Temporal Feature Self-Similarity. 4538-4553
Volume 34, Number 10, October 2022
- Di Yao, Gao Cong, Chao Zhang, Xuying Meng, Rongchang Duan, Jingping Bi:
A Linear Time Approach to Computing Time Series Similarity Based on Deep Metric Learning. 4554-4571 - Hong Yu, Qian Yang, Guoyin Wang, Yongfang Xie:
A Novel Discriminative Dictionary Pair Learning Constrained by Ordinal Locality for Mixed Frequency Data Classification. 4572-4585 - Jian Pei:
A Survey on Data Pricing: From Economics to Data Science. 4586-4608 - Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li:
Adaptive Local Embedding Learning for Semi-Supervised Dimensionality Reduction. 4609-4621 - Tie Qiu, Xize Liu, Xiaobo Zhou, Wenyu Qu, Zhaolong Ning, C. L. Philip Chen:
An Adaptive Social Spammer Detection Model With Semi-Supervised Broad Learning. 4622-4635 - Qi Song, Mohammad Hossein Namaki, Peng Lin, Yinghui Wu:
Answering Why-Questions for Subgraph Queries. 4636-4649 - Ruiyun Yu, Dezhi Ye, Zhihong Wang, Biyun Zhang, Ann Move Oguti, Jie Li, Bo Jin, Fadi J. Kurdahi:
CFFNN: Cross Feature Fusion Neural Network for Collaborative Filtering. 4650-4662 - Shichao Zhang:
Challenges in KNN Classification. 4663-4675 - Pei Zhang, Xinwang Liu, Jian Xiong, Sihang Zhou, Wentao Zhao, En Zhu, Zhiping Cai:
Consensus One-Step Multi-View Subspace Clustering. 4676-4689 - Dongxiang Zhang, Zhihao Chang, Sai Wu, Ye Yuan, Kian-Lee Tan, Gang Chen:
Continuous Trajectory Similarity Search for Online Outlier Detection. 4690-4704 - Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, Jing Zhang, Jian Xiong, Lizhe Wang:
Cross-View Locality Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection. 4705-4716 - Shaoxu Song, Fei Gao, Ruihong Huang, Chaokun Wang:
Data Dependencies Extended for Variety and Veracity: A Family Tree. 4717-4736 - Zhongbao Zhang, Zichang Yin, Jian Wen, Li Sun, Sen Su, Philip S. Yu:
DeepBlue: Bi-Layered LSTM for Tweet popUlarity Estimation. 4737-4752 - Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, Meng Wang:
DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation. 4753-4766 - Xuanhao Chen, Yan Zhao, Guanfeng Liu, Rui Sun, Xiaofang Zhou, Kai Zheng:
Efficient Similarity-Aware Influence Maximization in Geo-Social Network. 4767-4780 - Lu Chen, Yunjun Gao, Xingrui Huang, Christian S. Jensen, Bolong Zheng:
Efficient Distributed Clustering Algorithms on Star-Schema Heterogeneous Graphs. 4781-4796 - Xi Chen, Xiangmin Zhou, Jeffrey Chan, Lei Chen, Timos Sellis, Yanchun Zhang:
Event Popularity Prediction Using Influential Hashtags From Social Media. 4797-4811 - Shuangyan Yi, Feiping Nie, Yongsheng Liang, Wei Liu, Zhenyu He, Qingmin Liao:
Fast Extended Inductive Robust Principal Component Analysis With Optimal Mean. 4812-4825 - Chengbin Hou, Han Zhang, Shan He, Ke Tang:
GloDyNE: Global Topology Preserving Dynamic Network Embedding. 4826-4837 - Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning:
$\mathop {\mathtt {HAM}}$HAM: Hybrid Associations Models for Sequential Recommendation. 4838-4853 - Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han:
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark. 4854-4873 - Xinjian Gao, Tingting Mu, John Yannis Goulermas, Jingkuan Song, Meng Wang:
Improving Image Similarity Learning by Adding External Memory. 4874-4887 - Floris Devriendt, Jente Van Belle, Tias Guns, Wouter Verbeke:
Learning to Rank for Uplift Modeling. 4888-4904 - Qingqing Ye, Haibo Hu, Man Ho Au, Xiaofeng Meng, Xiaokui Xiao:
LF-GDPR: A Framework for Estimating Graph Metrics With Local Differential Privacy. 4905-4920 - Jing Yao, Zhicheng Dou, Jian-Yun Nie, Ji-Rong Wen:
Looking Back on the Past: Active Learning With Historical Evaluation Results. 4921-4932 - Josep Domingo-Ferrer, Jordi Soria-Comas:
Multi-Dimensional Randomized Response. 4933-4946 - Lin Chen, Jihong Yu:
Multiset Membership Lookup in Large Datasets. 4947-4958 - Junwei Jin, Yanting Li, C. L. Philip Chen:
Pattern Classification With Corrupted Labeling via Robust Broad Learning System. 4959-4971 - Shuyang Shi, Lin Wang, Shuangdie Xu, Xiaofan Wang:
Prediction of Intra-Urban Human Mobility by Integrating Regional Functions and Trip Intentions. 4972-4981 - Yi'an Lai, Yujie Zhang, Xiangwu Meng, Yulu Du:
Preference and Constraint Factor Model for Event Recommendation. 4982-4993 - Chia-Yu Lo, Wen-Hsing Huang, Ming-Feng Ho, Min-Te Sun, Ling-Jyh Chen, Kazuya Sakai, Wei-Shinn Ku:
Recurrent Learning on PM2.5 Prediction Based on Clustered Airbox Dataset. 4994-5008 - Panagiotis A. Traganitis, Georgios B. Giannakis:
Unsupervised Ensemble Classification With Sequential and Networked Data. 5009-5022 - Nick Koudas, Raymond Li, Ioannis Xarchakos:
Video Monitoring Queries. 5023-5036 - Pengzhan Guo, Zeyang Ye, Keli Xiao, Wei Zhu:
Weighted Aggregating Stochastic Gradient Descent for Parallel Deep Learning. 5037-5050 - Renjie Sun, Chen Chen, Xiaoyang Wang, Ying Zhang, Xun Wang:
Stable Community Detection in Signed Social Networks. 5051-5055
Volume 34, Number 11, November 2022
- Xueyuan Xu, Xia Wu, Fulin Wei, Wei Zhong, Feiping Nie:
A General Framework for Feature Selection Under Orthogonal Regression With Global Redundancy Minimization. 5056-5069 - Cheqing Jin, Shuaifeng Pang, Xiaodong Qi, Zhao Zhang, Aoying Zhou:
A High Performance Concurrency Protocol for Smart Contracts of Permissioned Blockchain. 5070-5083 - Zuowei Zhang, Zhe Liu, Zongfang Ma, Yiru Zhang, Hao Wang:
A New Belief-Based Incomplete Pattern Unsupervised Classification Method. 5084-5097 - Chao Tan, Sheng Chen, Genlin Ji, Xin Geng:
A Novel Probabilistic Label Enhancement Algorithm for Multi-Label Distribution Learning. 5098-5113 - Zhizheng Wang, Yuanyuan Sun, Xuyang Hu, Jiafeng Zhao, Zhihao Yang, Hongfei Lin:
A Semantic Network Encoder for Associated Fact Prediction. 5114-5125 - Yuanbo Xu, En Wang, Yongjian Yang, Yi Chang:
A Unified Collaborative Representation Learning for Neural-Network Based Recommender Systems. 5126-5139 - Jianchao Tang, Shaojing Fu, Ximeng Liu, Yuchuan Luo, Ming Xu:
Achieving Privacy-Preserving and Lightweight Truth Discovery in Mobile Crowdsensing. 5140-5153 - Qing Liao, Heyan Chai, Hao Han, Xiang Zhang, Xuan Wang, Wen Xia, Ye Ding:
An Integrated Multi-Task Model for Fake News Detection. 5154-5165 - Murugaraj Odiathevar, Winston K. G. Seah, Marcus Frean, Alvin C. Valera:
An Online Offline Framework for Anomaly Scoring and Detecting New Traffic in Network Streams. 5166-5181 - Jielong Yang, Wee Peng Tay:
An Unsupervised Bayesian Neural Network for Truth Discovery in Social Networks. 5182-5195 - Wei Zhang, Chao Dong, Jianhua Yin, Jianyong Wang:
Attentive Representation Learning With Adversarial Training for Short Text Clustering. 5196-5210 - Yaojing Wang, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Auditing Network Embedding: An Edge Influence Based Approach. 5211-5224 - Haithem Mezni, Djamal Benslimane, Ladjel Bellatreche:
Context-Aware Service Recommendation Based on Knowledge Graph Embedding. 5225-5238 - Savong Bou, Hiroyuki Kitagawa, Toshiyuki Amagasa:
CPiX: Real-Time Analytics Over Out-of-Order Data Streams by Incremental Sliding-Window Aggregation. 5239-5250 - Qunbo Wang, Wenjun Wu, Yuxing Qi, Yongchi Zhao:
Deep Bayesian Active Learning for Learning to Rank: A Case Study in Answer Selection. 5251-5262 - Dingming Wu, Ilkcan Keles, Song Wu, Hao Zhou, Simonas Saltenis, Christian S. Jensen, Kezhong Lu:
Density-Based Top-K Spatial Textual Clusters Retrieval. 5263-5277 - Xiaofeng Ding, Shujun Sheng, Huajian Zhou, Xiaodong Zhang, Zhifeng Bao, Pan Zhou, Hai Jin:
Differentially Private Triangle Counting in Large Graphs. 5278-5292 - Wei Song, Zhen Chang, Hans-Arno Jacobsen, Pengcheng Zhang:
Discovering Structural Errors From Business Process Event Logs. 5293-5306 - Chi Thang Duong, Thanh Tam Nguyen, Hongzhi Yin, Matthias Weidlich, Son Thai Mai, Karl Aberer, Quoc Viet Hung Nguyen:
Efficient and Effective Multi-Modal Queries Through Heterogeneous Network Embedding. 5307-5320 - Jens Dietrich, Lijun Chang, Long Qian, Lyndon M. Henry, Catherine McCartin, Bernhard Scholz:
Efficient Sink-Reachability Analysis via Graph Reduction. 5321-5335 - Peng Jia, Pinghui Wang, Junzhou Zhao, Jing Tao, Ye Yuan, Xiaohong Guan:
Erasable Virtual HyperLogLog for Approximating Cumulative Distribution over Data Streams. 5336-5350 - Fabrizio Lillo, Salvatore Ruggieri:
Estimating the Total Volume of Queries to a Search Engine. 5351-5363 - Jiahao Zhang, Man Lung Yiu, Bo Tang, Qing Li:
Fast Error-Bounded Distance Distribution Computation. 5364-5377 - Haoda Li, Qiyang Song, Guoliang Li, Qi Li, Rengui Wang:
GPSC: A Grid-Based Privacy-Reserving Framework for Online Spatial Crowdsourcing. 5378-5390 - Shixiang Zhu, Shuang Li, Zhigang Peng, Yao Xie:
Imitation Learning of Neural Spatio-Temporal Point Processes. 5391-5402 - Haoyang Li, Xin Wang, Ziwei Zhang, Jianxin Ma, Peng Cui, Wenwu Zhu:
Intention-Aware Sequential Recommendation With Structured Intent Transition. 5403-5414 - Shengnan Guo, Youfang Lin, Huaiyu Wan, Xiucheng Li, Gao Cong:
Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting. 5415-5428 - Chen-Hsu Yang, Hong-Han Shuai, Chih-Ya Shen, Ming-Syan Chen:
Learning to Solve Task-Optimized Group Search for Social Internet of Things. 5429-5445 - Chao Chen, Dongsheng Li, Junchi Yan, Xiaokang Yang:
Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation. 5446-5458 - Tianfan Fu, Cao Xiao, Lucas M. Glass, Jimeng Sun:
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization. 5459-5471 - Ying Luo, Hai Zhao, Zhuosheng Zhang, Bingjie Tang:
Open Named Entity Modeling From Embedding Distribution. 5472-5483 - Peng Han, Shuo Shang, Aixin Sun, Peilin Zhao, Kai Zheng, Xiangliang Zhang:
Point-of-Interest Recommendation With Global and Local Context. 5484-5495 - Yang An, Liang Zhang, Haoyu Yang, Leilei Sun, Bo Jin, Chuanren Liu, Ruiyun Yu, Xiaopeng Wei:
Prediction of Treatment Medicines With Dual Adaptive Sequential Networks. 5496-5509 - Huaiyu Wan, Yan Lin, Shengnan Guo, Youfang Lin:
Pre-Training Time-Aware Location Embeddings from Spatial-Temporal Trajectories. 5510-5523 - Junyao Xie, Biao Huang, Stevan Dubljevic:
Transfer Learning for Dynamic Feature Extraction Using Variational Bayesian Inference. 5524-5535 - Yuguang Yan, Hanrui Wu, Yuzhong Ye, Chaoyang Bi, Min Lu, Dapeng Liu, Qingyao Wu, Michael K. Ng:
Transferable Feature Selection for Unsupervised Domain Adaptation. 5536-5551 - Lingxiao Li, Muhammad Aamir Cheema, Hua Lu, Mohammed Eunus Ali, Adel Nadjaran Toosi:
Comparing Alternative Route Planning Techniques: A Comparative User Study on Melbourne, Dhaka and Copenhagen Road Networks. 5552-5557
Volume 34, Number 12, December 2022
- Huijuan Zhu, Liang-Min Wang, Sheng Zhong, Yang Li, Victor S. Sheng:
A Hybrid Deep Network Framework for Android Malware Detection. 5558-5570 - Kaili Mao, Jianwei Niu, Xuefeng Liu, Shaojie Tang, Lizi Liao, Tat-Seng Chua:
A Patience-Aware Recommendation Scheme for Shared Accounts on Mobile Devices. 5571-5585 - Yu Zhang, Qiang Yang:
A Survey on Multi-Task Learning. 5586-5609 - Seungmin Seo, Byungkook Oh, Eunju Jo, Sanghak Lee, Dongho Lee, Kyong-Ho Lee, Dong-Hoon Shin, Yeonsoo Lee:
Active Learning for Knowledge Graph Schema Expansion. 5610-5620 - Rundong Li, Pinghui Wang, Peng Jia, Xiangliang Zhang, Junzhou Zhao, Jing Tao, Ye Yuan, Xiaohong Guan:
Approximately Counting Butterflies in Large Bipartite Graph Streams. 5621-5635 - Fanhua Shang, Hua Huang, Jun Fan, Yuanyuan Liu, Hongying Liu, Jianhui Liu:
Asynchronous Parallel, Sparse Approximated SVRG for High-Dimensional Machine Learning. 5636-5648 - Yu Liu, Lei Zou, Zhewei Wei:
Building Graphs at Scale via Sequence of Edges: Model and Generation Algorithms. 5649-5663 - Zhaodong Kang, Jin Xu, Wenqi Wang, Jie Jiang, Shiqi Jiang, Tong Yang, Bin Cui, Tilman Wolf:
Coloring Embedder: Towards Multi-Set Membership Queries in Web Cache Sharing. 5664-5680 - Jingbo Zhou, Tao Huang, Shuangli Li, Renjun Hu, Yanchi Liu, Yanjie Fu, Hui Xiong:
Competitive Relationship Prediction for Points of Interest: A Neural Graphlet Based Approach. 5681-5692 - Erzhuo Shao, Huandong Wang, Jie Feng, Tong Xia, Hedong Yang, Lu Geng, Depeng Jin, Yong Li:
DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks. 5693-5707 - Mehdi Acheli, Daniela Grigori, Matthias Weidlich:
Discovering and Analyzing Contextual Behavioral Patterns From Event Logs. 5708-5721 - Suining He, Kang G. Shin:
Distribution Prediction for Reconfiguring Urban Dockless E-Scooter Sharing Systems. 5722-5740 - Zhao Chang, Dong Xie, Feifei Li, Jeff M. Phillips, Rajeev Balasubramonian:
Efficient Oblivious Query Processing for Range and kNN Queries. 5741-5754 - Chenglong Dai, Jia Wu, Dechang Pi, Lin Cui, Blake W. Johnson, Stefanie I. Becker:
Electroencephalogram Signal Clustering With Convex Cooperative Games. 5755-5769 - Jingjing Li, Mengmeng Jing, Hongzu Su, Ke Lu, Lei Zhu, Heng Tao Shen:
Faster Domain Adaptation Networks. 5770-5783 - Abdel Aziz Taha, Luca Papariello, Alexandros Bampoulidis, Petr Knoth, Mihai Lupu:
Formal Analysis and Estimation of Chance in Datasets Based on Their Properties. 5784-5795 - Xiuwen Yi, Xiaodu Yang, Yanyong Huang, Songyu Ke, Junbo Zhang, Tianrui Li, Yu Zheng:
Gas-Theft Suspect Detection Among Boiler Room Users: A Data-Driven Approach. 5796-5808 - Kaixiang Yang, Zhiwen Yu, C. L. Philip Chen, Wenming Cao, Jane You, Hau-San Wong:
Incremental Weighted Ensemble Broad Learning System for Imbalanced Data. 5809-5824 - Xiaofei Zhou, Lingfeng Niu, Qiannan Zhu, Xingquan Zhu, Ping Liu, Jianlong Tan, Li Guo:
Knowledge Graph Embedding by Double Limit Scoring Loss. 5825-5839 - Kai Yang, Zhaojing Luo, Jinyang Gao, Junfeng Zhao, Beng Chin Ooi, Bing Xie:
LDA-Reg: Knowledge Driven Regularization Using External Corpora. 5840-5853 - Zhen-Yu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou:
Learning From Incomplete and Inaccurate Supervision. 5854-5868 - Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv:
Measuring Diversity in Graph Learning: A Unified Framework for Structured Multi-View Clustering. 5869-5883 - Alvis Logins, Yuchen Li, Panagiotis Karras:
On the Robustness of Diffusion in a Network Under Node Attacks. 5884-5895 - Feng Zhang, Yani Liu, Ningxuan Feng, Cheng Yang, Jidong Zhai, Shuhao Zhang, Bingsheng He, Jiazao Lin, Xiao Zhang, Xiaoyong Du:
Periodic Weather-Aware LSTM With Event Mechanism for Parking Behavior Prediction. 5896-5909 - Jingyuan Wang, Ning Wu, Wayne Xin Zhao:
Personalized Route Recommendation With Neural Network Enhanced Search Algorithm. 5910-5924 - Zhu Sun, Chen Li, Yu Lei, Lu Zhang, Jie Zhang, Shunpan Liang:
Point-of-Interest Recommendation for Users-Businesses With Uncertain Check-ins. 5925-5938 - Henning Koehler, Sebastian Link:
Possibilistic Data Cleaning. 5939-5950 - Defu Lian, Jin Chen, Kai Zheng, Enhong Chen, Xiaofang Zhou:
Ranking-Based Implicit Regularization for One-Class Collaborative Filtering. 5951-5963 - Zhuliu Li, Raphael Petegrosso, Shaden Smith, David Sterling, George Karypis, Rui Kuang:
Scalable Label Propagation for Multi-Relational Learning on the Tensor Product of Graphs. 5964-5978 - Peizhong Yang, Lizhen Wang, Xiaoxuan Wang, Lihua Zhou:
SCPM-CR: A Novel Method for Spatial Co-Location Pattern Mining With Coupling Relation Consideration. 5979-5992 - Wenhui Yu, Xiao Lin, Jinfei Liu, Junfeng Ge, Wenwu Ou, Zheng Qin:
Self-Propagation Graph Neural Network for Recommendation. 5993-6002 - Wei Shen, Yuwei Yin, Yang Yang, Jiawei Han, Jianyong Wang, Xiaojie Yuan:
Toward Tweet Entity Linking With Heterogeneous Information Networks. 6003-6017 - Dongxiang Zhang, Zepeng Li, Xiaoli Wang, Kian-Lee Tan, Gang Chen:
Towards One-Size-Fits-Many: Multi-Context Attention Network for Diversity of Entity Resolution Tasks. 6018-6032 - Fanjin Zhang, Jie Tang, Xueyi Liu, Zhenyu Hou, Yuxiao Dong, Jing Zhang, Xiao Liu, Ruobing Xie, Kai Zhuang, Xu Zhang, Leyu Lin, Philip S. Yu:
Understanding WeChat User Preferences and "Wow" Diffusion. 6033-6046 - Yunzhi Hao, Xinchao Wang, Xingen Wang, Xinyu Wang, Chun Chen, Mingli Song:
Walking With Attention: Self-Guided Walking for Heterogeneous Graph Embedding. 6047-6060
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