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ORCIDIEEE Transactions on Big Data, Volume 8
Volume 8, Number 1, February 2022
- Hu Xiong
, Kim-Kwang Raymond Choo, Athanasios V. Vasilakos:
Revocable Identity-Based Access Control for Big Data with Verifiable Outsourced Computing. 1-13 - Anmin Fu, Shui Yu, Yuqing Zhang, Huaqun Wang, Chanying Huang:
NPP: A New Privacy-Aware Public Auditing Scheme for Cloud Data Sharing with Group Users. 14-24 - Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li:
PPHOPCM: Privacy-Preserving High-Order Possibilistic c-Means Algorithm for Big Data Clustering with Cloud Computing. 25-34 - Ziyi Su, Frédérique Biennier, Zhihan Lv, Yong Peng, Houbing Song, Jingwei Miao:
Toward Architectural and Protocol-Level Foundation for End-to-End Trustworthiness in Cloud/Fog Computing. 35-47 - Jian Shen, Chen Wang, Aniello Castiglione, Dengzhi Liu, Christian Esposito:
Trustworthiness Evaluation-Based Routing Protocol for Incompletely Predictable Vehicular Ad Hoc Networks. 48-59 - Chengqiang Huang, Geyong Min, Yulei Wu, Yiming Ying, Ke Pei, Zuochang Xiang:
Time Series Anomaly Detection for Trustworthy Services in Cloud Computing Systems. 60-72 - Xue Yang, Rongxing Lu, Kim-Kwang Raymond Choo, Fan Yin, Xiaohu Tang:
Achieving Efficient and Privacy-Preserving Cross-Domain Big Data Deduplication in Cloud. 73-84 - Bing Tang, Gilles Fedak:
WukaStore: Scalable, Configurable and Reliable Data Storage on Hybrid Volunteered Cloud and Desktop Systems. 85-98 - Jiahui Yu, Kun Wang, Peng Li, Rui Xia, Song Guo, Minyi Guo:
Efficient Trustworthiness Management for Malicious User Detection in Big Data Collection. 99-112 - Qichao Xu, Zhou Su, Shui Yu, Ying Wang:
Trust Based Incentive Scheme to Allocate Big Data Tasks with Mobile Social Cloud. 113-124 - Xuyun Zhang, Lianyong Qi, Wanchun Dou, Qiang He, Christopher Leckie, Ramamohanarao Kotagiri, Zoran Salcic:
MRMondrian: Scalable Multidimensional Anonymisation for Big Data Privacy Preservation. 125-139 - Tian Wang, Yang Li, Weiwei Fang, Wenzheng Xu, Junbin Liang, Yewang Chen, Xuxun Liu:
A Comprehensive Trustworthy Data Collection Approach in Sensor-Cloud Systems. 140-151 - Hourieh Khalajzadeh, Mohamed Abdelrazek, John C. Grundy, John G. Hosking, Qiang He:
Survey and Analysis of Current End-User Data Analytics Tool Support. 152-165 - Chuishi Meng, Yu Cui, Qing He, Lu Su, Jing Gao:
Towards the Inference of Travel Purpose with Heterogeneous Urban Data. 166-177 - Conor Fahy, Shengxiang Yang:
Finding and Tracking Multi-Density Clusters in Online Dynamic Data Streams. 178-192 - Ting Li, Yiming Zhang, Hao Liu, Guangtao Xue, Ling Liu:
Fast Compressive Spectral Clustering for Large-Scale Sparse Graph. 193-202 - Hanieh Poostchi, Massimo Piccardi:
BiLSTM-SSVM: Training the BiLSTM with a Structured Hinge Loss for Named-Entity Recognition. 203-212 - Daniel Rammer, Thilina Buddhika, Matthew Malensek, Shrideep Pallickara, Sangmi Lee Pallickara:
Enabling Fast Exploratory Analyses Over Voluminous Spatiotemporal Data Using Analytical Engines. 213-228 - Long Hoang Nguyen, Zhou Yang, Jia Li, Zhenhe Pan, Guofeng Cao, Fang Jin:
Forecasting People's Needs in Hurricane Events from Social Network. 229-240 - Haipeng Yao, Chong Liu, Peiying Zhang, Sheng Wu, Chunxiao Jiang, Shui Yu:
Identification of Encrypted Traffic Through Attention Mechanism Based Long Short Term Memory. 241-252 - Sijie Wu, Hanhua Chen, Hai Jin, Shadi Ibrahim:
Shadow: Exploiting the Power of Choice for Efficient Shuffling in MapReduce. 253-267 - Sethuraman Jayaraman, Manikandan Ramachandran, Rizwan Patan, Mahmoud Daneshmand, Amir H. Gandomi:
Fuzzy Deep Neural Learning Based on Goodman and Kruskal's Gamma for Search Engine Optimization. 268-277 - Qi Li, Mingyu Cheng, Junfeng Wang, Bowen Sun:
LSTM Based Phishing Detection for Big Email Data. 278-288
Volume 8, Number 2, April 2022
- Xiaofei Liao, Zhan Zhang, Haikun Liu, Hai Jin:
Improving Bank-Level Parallelism for In-Memory Checkpointing in Hybrid Memory Systems. 289-301 - Sriram Srinivasan, Samuel D. Pollard, Boyana Norris, Sajal K. Das, Sanjukta Bhowmick:
A Shared-Memory Algorithm for Updating Tree-Based Properties of Large Dynamic Networks. 302-317 - Zhifei Pang, Sai Wu, Gang Chen, Lidan Shou, Ke Chen, Bingsheng He:
A Stack-Centric Processing Model for Iterative Processing. 318-331 - Zhengyu Yang, Manu Awasthi, Mrinmoy Ghosh, Janki Bhimani, Ningfang Mi:
I/O Workload Management for All-Flash Datacenter Storage Systems Based on Total Cost of Ownership. 332-345 - Changqing Luo, Jinlong Ji, Xuhui Chen, Ming Li, Laurence T. Yang, Pan Li:
Parallel Secure Outsourcing of Large-Scale Nonlinearly Constrained Nonlinear Programming Problems. 346-355 - Anis Alazzawe, Amitangshu Pal, Krishna Kant:
Efficient Big-Data Access: Taxonomy and a Comprehensive Survey. 356-376 - Yang Shi, Yuyin Liu, Hanghang Tong, Jingrui He, Gang Yan, Nan Cao:
Visual Analytics of Anomalous User Behaviors: A Survey. 377-396 - Xuan Song, Haoran Zhang, Rajendra Akerkar, Huawei Huang, Song Guo, Lei Zhong, Yusheng Ji, Andreas L. Opdahl, Hemant Purohit, André Skupin, Akshay Pottathil, Aron Culotta:
Big Data and Emergency Management: Concepts, Methodologies, and Applications. 397-419 - Xiaoyu Shi, Qiang He, Xin Luo, Yanan Bai, Mingsheng Shang:
Large-Scale and Scalable Latent Factor Analysis via Distributed Alternative Stochastic Gradient Descent for Recommender Systems. 420-431 - Panagiotis Liakos, Alexandros Ntoulas, Alex Delis:
Uncovering Local Hierarchical Overlapping Communities at Scale. 432-445 - Dan Teng, Xiaowei Zhang, Li Cheng, Delin Chu:
Least Squares Approximation via Sparse Subsampled Randomized Hadamard Transform. 446-457 - Yuxing Chen, Peter Goetsch, Mohammad Ashraful Hoque, Jiaheng Lu, Sasu Tarkoma:
$d$d-Simplexed: Adaptive Delaunay Triangulation for Performance Modeling and Prediction on Big Data Analytics. 458-469 - Roohollah Etemadi, Jianguo Lu:
PES: Priority Edge Sampling in Streaming Triangle Estimation. 470-481 - Shengnan Wang, Chunguang Li:
Discrete Double-Bit Hashing. 482-494 - Peng Sun, Yonggang Wen, Ruobing Han, Wansen Feng, Shengen Yan:
GradientFlow: Optimizing Network Performance for Large-Scale Distributed DNN Training. 495-507 - Zubair Shah, Adam G. Dunn:
Event Detection on Twitter by Mapping Unexpected Changes in Streaming Data into a Spatiotemporal Lattice. 508-522 - Lun Hu, Shicheng Yang, Xin Luo, MengChu Zhou:
An Algorithm of Inductively Identifying Clusters From Attributed Graphs. 523-534 - Guangyi Lv, Kun Zhang, Le Wu, Enhong Chen, Tong Xu, Qi Liu, Weidong He:
Understanding the Users and Videos by Mining a Novel Danmu Dataset. 535-551 - Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, Maozu Guo:
Weakly Supervised Cross-Modal Hashing. 552-563 - Ye Liu, Yuxuan Liang, Kun Ouyang, Shuming Liu, David S. Rosenblum, Yu Zheng:
Predicting Urban Water Quality With Ubiquitous Data - A Data-Driven Approach. 564-578
Volume 8, Number 3, June 2022
- Weijie Fu, Meng Wang, Shijie Hao, Tingting Mu:
FLAG: Faster Learning on Anchor Graph with Label Predictor Optimization. 579-591 - Mayank Kejriwal, Pedro A. Szekely:
Knowledge Graphs for Social Good: An Entity-Centric Search Engine for the Human Trafficking Domain. 592-606 - Liang He, Bin Shao, Yanghua Xiao, Yatao Li, Tie-Yan Liu, Enhong Chen, Huanhuan Xia:
Neurally-Guided Semantic Navigation in Knowledge Graph. 607-615 - Yuyan Zheng, Chuan Shi, Xiaohuan Cao, Xiaoli Li, Bin Wu:
A Meta Path Based Method for Entity Set Expansion in Knowledge Graph. 616-629 - Manling Li, Yuanzhuo Wang, Denghui Zhang, Yantao Jia, Xueqi Cheng:
Link Prediction in Knowledge Graphs: A Hierarchy-Constrained Approach. 630-643 - Zongpu Zhang, Tao Song, Liwei Lin, Yang Hua, Xufeng He, Zhengui Xue, Ruhui Ma, Haibing Guan:
Towards Ubiquitous Intelligent Computing: Heterogeneous Distributed Deep Neural Networks. 644-657 - Meng Ma, Ping Wang:
Efficient Event Inference and Context-Awareness in Internet of Things Edge Systems. 658-670 - Hongchao Qin, Rong-Hua Li, Guoren Wang, Xin Huang, Ye Yuan, Jeffrey Xu Yu:
Mining Stable Communities in Temporal Networks by Density-Based Clustering. 671-684 - Lianyong Qi, Qiang He, Feifei Chen, Xuyun Zhang, Wanchun Dou, Qiang Ni:
Data-Driven Web APIs Recommendation for Building Web Applications. 685-698 - Chandan Misra, Sourangshu Bhattacharya, Soumya K. Ghosh:
Stark: Fast and Scalable Strassen's Matrix Multiplication Using Apache Spark. 699-710 - Yangwen Yu, Victor O. K. Li, Jacqueline C. K. Lam:
Missing Air Pollution Data Recovery Based on Long-Short Term Context Encoder. 711-722 - Nishaal J. Parmar, Hazem H. Refai, Thordur Runolfsson:
A Survey on the Methods and Results of Data-Driven Koopman Analysis in the Visualization of Dynamical Systems. 723-738 - Gao Liu, Huidong Dong, Zheng Yan, Xiaokang Zhou, Shohei Shimizu:
B4SDC: A Blockchain System for Security Data Collection in MANETs. 739-752 - Rui Wang, Xiaojun Wu, Kai-Xuan Chen, Josef Kittler:
Multiple Riemannian Manifold-Valued Descriptors Based Image Set Classification With Multi-Kernel Metric Learning. 753-769 - Jia Wang, Jiannong Cao, Senzhang Wang, Zhongyu Yao, Wengen Li:
IRDA: Incremental Reinforcement Learning for Dynamic Resource Allocation. 770-783 - Ye Yuan, Qiang He, Xin Luo, Mingsheng Shang:
A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices. 784-794 - Zhiqing Tang, Wei Jia, Xiaojie Zhou, Wenmian Yang, Yongjian You:
Representation and Reinforcement Learning for Task Scheduling in Edge Computing. 795-808 - Mingyang Zhang, Tong Li, Yue Yu, Yong Li, Pan Hui, Yu Zheng:
Urban Anomaly Analytics: Description, Detection, and Prediction. 809-826 - Chao Chen, Sen Yang, Yasha Wang, Bin Guo, Daqing Zhang:
CrowdExpress: A Probabilistic Framework for On-Time Crowdsourced Package Deliveries. 827-842 - Yang Liu, Yingting Liu, Zhijie Liu, Yuxuan Liang, Chuishi Meng, Junbo Zhang, Yu Zheng:
Federated Forest. 843-854 - Xiaofei Niu, Guangchi Liu, Qing Yang:
OpinionRank: Trustworthy Website Detection Using Three Valued Subjective Logic. 855-866
Volume 8, Number 4, August 2022
- Di Jin, Wenjun Wang, Guojie Song, Philip S. Yu, Jiawei Han:
Guest Editorial: Special Issue on Network Structural Modeling and Learning in Big Data. 867-868 - Dongxiao He, Yanli Wu, Youyou Wang, Zhizhi Yu, Zhiyong Feng, Xiaobao Wang, Yuxiao Huang:
Identification of Communities With Multi-Semantics via Bayesian Generative Model. 869-881 - Xiaowei Gao, Xiaoke Ma, Wensheng Zhang, Jianbin Huang, He Li, Yanni Li, Jiangtao Cui:
Multi-View Clustering With Self-Representation and Structural Constraint. 882-893 - Dong Liu, Guoliang Yang, Yanwei Wang, Hu Jin, Enhong Chen:
How to Protect Ourselves From Overlapping Community Detection in Social Networks. 894-904 - Nan Jiang, Fuxian Duan, Honglong Chen, Wei Huang, Ximeng Liu:
MAFI: GNN-Based Multiple Aggregators and Feature Interactions Network for Fraud Detection Over Heterogeneous Graph. 905-919 - Yu Xie, Shengze Lv, Yuhua Qian, Chao Wen, Jiye Liang:
Active and Semi-Supervised Graph Neural Networks for Graph Classification. 920-932 - Pengfei Jiao, Xuan Guo, Ting Pan, Wang Zhang, Yulong Pei, Lin Pan:
A Survey on Role-Oriented Network Embedding. 933-952 - Guojie Song, Chuan Shi, Yizhou Sun, Zhiyuan Liu:
Guest Editorial: Special Issue on Social Media Computing. 953-954 - Ruobing Xie, Qi Liu, Shukai Liu, Ziwei Zhang, Peng Cui, Bo Zhang, Leyu Lin:
Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network. 955-967 - Chaobo He, Yulong Zheng, Xiang Fei, Hanchao Li, Zeng Hu, Yong Tang:
Boosting Nonnegative Matrix Factorization Based Community Detection With Graph Attention Auto-Encoder. 968-981 - Hai Jin, Zhaobo Zhang, Pingpeng Yuan:
Improving Chinese Word Representation Using Four Corners Features. 982-993 - Dongxiao He, Huixin Liu, Zhiyong Feng, Xiaobao Wang, Di Jin, Wenze Song, Yuxiao Huang:
A Joint Community Detection Model: Integrating Directed and Undirected Probabilistic Graphical Models via Factor Graph With Attention Mechanism. 994-1006 - Jianian Li, Peng Bao, Huawei Shen, Xuanya Li:
MiSTR: A Multiview Structural-Temporal Learning Framework for Rumor Detection. 1007-1019 - Prajwol Sangat, David Taniar, Christopher H. Messom:
ATrie Group Join: A Parallel Star Group Join and Aggregation for In-Memory Column-Stores. 1020-1033 - Yang Han, Jacqueline C. K. Lam, Victor O. K. Li, Qi Zhang:
A Domain-Specific Bayesian Deep-Learning Approach for Air Pollution Forecast. 1034-1046 - Dongdong Hou, Yang Cong, Gan Sun, Jiahua Dong, Jun Li, Kai Li:
Fast Multi-View Outlier Detection via Deep Encoder. 1047-1058 - Feng Zhao, Xiangyu Gui, Yafan Huang, Hai Jin, Laurence T. Yang:
Dynamic Entity-Based Named Entity Recognition Under Unconstrained Tagging Schemes. 1059-1072 - Li Wang, Ren-Cang Li:
A Scalable Algorithm for Large-Scale Unsupervised Multi-View Partial Least Squares. 1073-1083 - Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo:
Off-Deployment Traffic Estimation - A Traffic Generative Adversarial Networks Approach. 1084-1095 - Yurong Zhong, Long Jin, Mingsheng Shang, Xin Luo:
Momentum-Incorporated Symmetric Non-Negative Latent Factor Models. 1096-1106 - Jiahao Ding, Sai Mounika Errapotu, Yuanxiong Guo, Haixia Zhang, Dongfeng Yuan, Miao Pan:
Private Empirical Risk Minimization With Analytic Gaussian Mechanism for Healthcare System. 1107-1117 - Xiangxi Xu, Zhihui Lai, Yudong Chen:
Relaxed Locality Preserving Supervised Discrete Hashing. 1118-1128 - Aiping Huang, Tiesong Zhao:
Weak Supervision Learning for Object Co-Segmentation. 1129-1140 - Lei Zhang, Xinpeng Wu, Hongke Zhao, Fan Cheng, Qi Liu:
Personalized Recommendation in P2P Lending Based on Risk-Return Management: A Multi-Objective Perspective. 1141-1154
Volume 8, Number 5, October 2022
- Jin Huang, Ming Xiao:
Mobile Network Traffic Prediction Based on Seasonal Adjacent Windows Sampling and Conditional Probability Estimation. 1155-1168 - Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu:
Multi-Label Graph Convolutional Network Representation Learning. 1169-1181 - Beibei Si, Yuxuan Liang, Jin Zhao, Yu Zhang, Xiaofei Liao, Hai Jin, Haikun Liu, Lin Gu:
GGraph: An Efficient Structure-Aware Approach for Iterative Graph Processing. 1182-1194 - Guojie Song, Qingqing Long, Yi Luo, Yiming Wang, Yilun Jin:
Deep Convolutional Neural Network Based Medical Concept Normalization. 1195-1208 - Mengyu Ma, Luo Chen, Xue Ouyang, Xiaoran Liu, Jun Li, Ning Jing:
Efficient Interactive Global Cellular Signal Strength Visualization. 1209-1219 - Guojie Song, Yizhou Zhang, Lingjun Xu, Haibing Lu:
Domain Adaptive Network Embedding. 1220-1232 - Wei Wang, Tao Tang, Feng Xia, Zhiguo Gong, Zhikui Chen, Huan Liu:
Collaborative Filtering With Network Representation Learning for Citation Recommendation. 1233-1246 - Fan Zhang, Long Zheng, Xiaofei Liao, Xinqiao Lv, Hai Jin, Jiang Xiao:
An Effective 2-Dimension Graph Partitioning for Work Stealing Assisted Graph Processing on Multi-FPGAs. 1247-1258 - Xinying Wang, Cong Xu, Ke Wang, Feng Yan, Dongfang Zhao:
Memory Scaling of Cloud-Based Big Data Systems: A Hybrid Approach. 1259-1272 - Sujit Biswas, Kashif Sharif, Fan Li, Iqbal Alam, Saraju P. Mohanty:
DAAC: Digital Asset Access Control in a Unified Blockchain Based E-Health System. 1273-1287 - Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo:
cGAIL: Conditional Generative Adversarial Imitation Learning - An Application in Taxi Drivers' Strategy Learning. 1288-1300 - Menghai Pan, Yanhua Li, Zhi-Li Zhang, Jun Luo:
SCCS: Smart Cloud Commuting System With Shared Autonomous Vehicles. 1301-1311 - Zann Koh, Yuren Zhou, Billy Pik Lik Lau, Chau Yuen, Bige Tunçer, Keng Hua Chong:
Multiple-Perspective Clustering of Passive Wi-Fi Sensing Trajectory Data. 1312-1325 - Xiuwen Yi, Zhewen Duan, Ruiyuan Li, Junbo Zhang, Tianrui Li, Yu Zheng:
Predicting Fine-Grained Air Quality Based on Deep Neural Networks. 1326-1339 - Ahmad Slo, Sukanya Bhowmik, Kurt Rothermel:
State-Aware Load Shedding From Input Event Streams in Complex Event Processing. 1340-1357 - Nima Ebadi, Mohsen M. Jozani, Kim-Kwang Raymond Choo, Paul Rad:
A Memory Network Information Retrieval Model for Identification of News Misinformation. 1358-1370 - Weiyi Huang, Peng Li, Bo Li, Tao Zhang:
DMP: Content Delivery With Dynamic Movement Pattern in Vehicular Networks. 1371-1386 - Ying Shen, Yilin Zhang, Kaiqi Yuan, Dagang Li, Hai-Tao Zheng:
A Knowledge-Enhanced Multi-View Framework for Drug-Target Interaction Prediction. 1387-1398 - Philip Derbeko, Shlomi Dolev, Ehud Gudes, Jeffrey D. Ullman:
Efficient and Privacy Preserving Approximation of Distributed Statistical Queries. 1399-1413 - Yaying Zhang, Xinyuan Sui:
RCIVMM: A Route Choice-Based Interactive Voting Map Matching Approach for Complex Urban Road Networks. 1414-1427 - Angtai Li, Yu Chen, Zheng Yan, Xiaokang Zhou, Shohei Shimizu:
A Survey on Integrity Auditing for Data Storage in the Cloud: From Single Copy to Multiple Replicas. 1428-1442
Volume 8, Number 6, December 2022
- Ali Jazayeri, Christopher C. Yang:
Frequent Subgraph Mining Algorithms in Static and Temporal Graph-Transaction Settings: A Survey. 1443-1462 - Zhe Fei, Yevgen Ryeznik, Oleksandr Sverdlov, Chee-Wei Tan, Weng Kee Wong:
An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic. 1463-1480 - Xiexin Zou, Shiyao Zhang, Chenhan Zhang, James J. Q. Yu, Edward Chung:
Long-Term Origin-Destination Demand Prediction With Graph Deep Learning. 1481-1495 - Wan-Lei Zhao, Hui Wang, Peng-Cheng Lin, Chong-Wah Ngo:
On the Merge of k-NN Graph. 1496-1510 - Yanghua Zhang, Jice Wang, Hexiang Huang, Yuqing Zhang, Peng Liu:
Understanding and Conquering the Difficulties in Identifying Third-Party Libraries From Millions of Android Apps. 1511-1523 - Jia Chen, Xin Luo, MengChu Zhou:
Hierarchical Particle Swarm Optimization-incorporated Latent Factor Analysis for Large-Scale Incomplete Matrices. 1524-1536 - Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Hai Jin:
Mining Diversified Top-$r$r Lasting Cohesive Subgraphs on Temporal Networks. 1537-1549 - Chao Chen, Qiang Liu, Xingchen Wang, Chengwu Liao, Daqing Zhang:
semi-Traj2Graph Identifying Fine-Grained Driving Style With GPS Trajectory Data via Multi-Task Learning. 1550-1565 - Guodao Sun, Sujia Zhu, Qi Jiang, Wang Xia, Ronghua Liang:
EvoSets: Tracking the Sensitivity of Dimensionality Reduction Results Across Subspaces. 1566-1579 - He Li, Jianbin Huang, Hang Yuan, Jiangtao Cui, Xiaoke Ma, Shaojie Qiao, Xindong Wu:
A Two-Phase Method to Balance the Result of Distributed Graph Repartitioning. 1580-1591 - Shuai Yang, Hao Wang, Kui Yu, Fuyuan Cao, Xindong Wu:
Towards Efficient Local Causal Structure Learning. 1592-1609 - Krishnan Raghavan, Sarangapani Jagannathan, V. A. Samaranayake:
A Game Theoretic Approach for Addressing Domain-Shift in Big-Data. 1610-1621 - Prince Hamandawana, Awais Khan, Jongik Kim, Tae-Sun Chung:
Accelerating ML/DL Applications With Hierarchical Caching on Deduplication Storage Clusters. 1622-1636 - Yang Zhang, Hanqi Guo, Lanyu Shang, Dong Wang, Tom Peterka:
A Multi-Branch Decoder Network Approach to Adaptive Temporal Data Selection and Reconstruction for Big Scientific Simulation Data. 1637-1649 - Shih Yu Chang, Hsiao-Chun Wu:
Multi-Relational Data Characterization by Tensors: Tensor Inversion. 1650-1663 - Hok Shing Wong, Li Wang, Raymond H. Chan, Tieyong Zeng:
Deep Tensor CCA for Multi-View Learning. 1664-1677 - Ram Mohan, Santanu Chaudhury, Brejesh Lall:
Temporal Causal Modelling on Large Volume Enterprise Data. 1678-1689 - Yiding Zhang, Xiao Wang, Chuan Shi, Xunqiang Jiang, Yanfang Ye:
Hyperbolic Graph Attention Network. 1690-1701 - Songnian Zhang, Suprio Ray, Rongxing Lu:
SOREL: Efficient and Secure ORE-Based Range Query Over Outsourced Data. 1702-1715 - Harry Cheng, Lizi Liao, Linmei Hu, Liqiang Nie:
Multi-Relation Extraction via A Global-Local Graph Convolutional Network. 1716-1728
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