English | 繁體

Search in the results

UM

Browse/Search Results:  1-10 of 10 Help

Selected(0)Clear Items/Page:    Sort:
A Multi-classification Division-aggregation Framework for Fake News Detection Journal article
Zhang, Wen, Fu, Haitao, Wang, Huan, Gong, Zhiguo, Zhou, Pan, Wang, Di. A Multi-classification Division-aggregation Framework for Fake News Detection[J]. IEEE Transactions on Big Data, 2024, 1-11.
Authors:  Zhang, Wen;  Fu, Haitao;  Wang, Huan;  Gong, Zhiguo;  Zhou, Pan; et al.
Favorite | TC[Scopus]:1  IF:7.5/5.8 | Submit date：2024/05/16
Fake News Detection  Classification-specifical Model  Truth Discovery  Multi-classification Knowledge  
Metro OD Matrix Prediction based on Multi-view Passenger Flow Evolution Trend Modeling Journal article
Furong Zheng, Juanjuan Zhao, Jiexia Ye, Xitong Gao, Kejiang Ye, Chengzhong Xu. Metro OD Matrix Prediction based on Multi-view Passenger Flow Evolution Trend Modeling[J]. IEEE Transactions on Big Data, 2022, 9(3), 991 - 1003.
Authors:  Furong Zheng;  Juanjuan Zhao;  Jiexia Ye;  Xitong Gao;  Kejiang Ye; et al.
Favorite | TC[WOS]:5 TC[Scopus]:5  IF:7.5/5.8 | Submit date：2023/01/30
Graph Attention Networks  Origin Destination Prediction  
Representation and Reinforcement Learning for Task Scheduling in Edge Computing Journal article
Tang, Zhiqing, Jia, Weijia, Zhou, Xiaojie, Yang, Wenmian, You, Yongjian. Representation and Reinforcement Learning for Task Scheduling in Edge Computing[J]. IEEE Transactions on Big Data, 2022, 8(3), 795-808.
Authors:  Tang, Zhiqing;  Jia, Weijia;  Zhou, Xiaojie;  Yang, Wenmian;  You, Yongjian
Favorite | TC[WOS]:19 TC[Scopus]:22  IF:7.5/5.8 | Submit date：2023/01/30
Edge Computing  Reinforcement Learning  Representation Learning  Task Scheduling  
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training Journal article
Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Denghui Zhang, Yi Du, Yuanchun Zhou. RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training[J]. IEEE Transactions on Big Data, 2022, 9(1), 186-199.
Authors:  Ziyue Qiao;  Yanjie Fu;  Pengyang Wang;  Meng Xiao;  Zhiyuan Ning; et al.
Favorite | TC[WOS]:7 TC[Scopus]:9  IF:7.5/5.8 | Submit date：2022/05/17
Pre-training  Contrastive Learning  Transformer  Graph Representation Learning  
Computation Outsourcing Meets Lossy Channel: Secure Sparse Robustness Decoding Service in Multi-Clouds Journal article
Yushu Zhang, Jiantao Zhou, Yong Xiang, Leo Yu Zhang, Fei Chen, Shaoning Pang, Xiaofeng Liao. Computation Outsourcing Meets Lossy Channel: Secure Sparse Robustness Decoding Service in Multi-Clouds[J]. IEEE Transactions on Big Data, 2021, 7(4), 717-728.
Authors:  Yushu Zhang;  Jiantao Zhou;  Yong Xiang;  Leo Yu Zhang;  Fei Chen; et al.
Adobe PDF | Favorite | TC[WOS]:10 TC[Scopus]:7  IF:7.5/5.8 | Submit date：2019/04/16
Parallel Compressive Sensing  Sparse Robustness Decoding Service  Packet-loss  Cloud Computing  
Collaborative Filtering with Network Representation Learning for Citation Recommendation Journal article
Wei Wang, Tao Tang, Feng Xia, Zhiguo Gong, Zhikui Chen, Huan Liu. Collaborative Filtering with Network Representation Learning for Citation Recommendation[J]. IEEE Transactions on Big Data, 2020, 8(5), 1233-1246.
Authors:  Wei Wang;  Tao Tang;  Feng Xia;  Zhiguo Gong;  Zhikui Chen; et al.
Favorite | TC[WOS]:39 TC[Scopus]:28  IF:7.5/5.8 | Submit date：2020/12/04
Citation Recommendation  Collaborative Filtering  Network Representation Learning  Scholarly Big Data  
Mining the Most Influential k -Location Set from Massive Trajectories Journal article
Li, Y., Bao, J., Li, Y., Wu, Y., Gong, Z. G., Zheng, Y. Mining the Most Influential k -Location Set from Massive Trajectories[J]. IEEE Transactions on Big Data, 2018, 556-570.
Authors:  Li, Y.;  Bao, J.;  Li, Y.;  Wu, Y.;  Gong, Z. G.; et al.
Favorite |   IF:7.5/5.8 | Submit date：2022/08/26
Electric vehicles  data mining  big data  
Detecting and Analyzing Urban Regions with High Impact of Weather Change on Transport Journal article
Ding, Ye, Li, Yanhua, Deng, Ke, Tan, Haoyu, Yuan, Mingxuan, Ni, Lionel M.. Detecting and Analyzing Urban Regions with High Impact of Weather Change on Transport[J]. IEEE Transactions on Big Data, 2017, 3(2), 126-139.
Authors:  Ding, Ye;  Li, Yanhua;  Deng, Ke;  Tan, Haoyu;  Yuan, Mingxuan; et al.
Favorite | TC[WOS]:25 TC[Scopus]:0  IF:7.5/5.8 | Submit date：2018/11/06
Visual Analytics in Urban Computing: An Overview Journal article
Zheng, Yixian, Wu, Wenchao, Chen, Yuanzhe, Qu, Huamin, Ni, Lionel M.. Visual Analytics in Urban Computing: An Overview[J]. IEEE Transactions on Big Data, 2016, 2(3), 276-296.
Authors:  Zheng, Yixian;  Wu, Wenchao;  Chen, Yuanzhe;  Qu, Huamin;  Ni, Lionel M.
Favorite | TC[Scopus]:0  IF:7.5/5.8 | Submit date：2018/11/06
SMC: A Practical Schema for Privacy-Preserved Data Sharing over Distributed Data Streams Journal article
Liu, Siyuan, Qu, Qiang, Chen, Lei, Ni, Lionel M.. SMC: A Practical Schema for Privacy-Preserved Data Sharing over Distributed Data Streams[J]. IEEE Transactions on Big Data, 2015, 1(2), 68-81.
Authors:  Liu, Siyuan;  Qu, Qiang;  Chen, Lei;  Ni, Lionel M.
Favorite | TC[Scopus]:0  IF:7.5/5.8 | Submit date：2018/11/06