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Ye Wang 0015
Person information
- affiliation: National University of Defense Technology, College of Computer, Changsha, China
- affiliation: Victoria University, Centre for Applied Informatics, Melbourne, Australia
Other persons with the same name
- Ye Wang — disambiguation page
- Ye Wang 0001
— Mitsubishi Electric Research Laboratories, Cambridge, MA, USA (and 1 more)
- Ye Wang 0002
— Harbin Institute of Technology, Communications Engineering Research Center, Shenzhen, China (and 2 more)
- Ye Wang 0003
— Huazhong University of Science and Technology, School of Electronic Information and Communications, Wuhan, China
- Ye Wang 0004
— State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China
- Ye Wang 0005
— University of Melbourne, Australia (and 2 more)
- Ye Wang 0006
— Chongqing University of Posts and Telecommunications, College of Computer Science and Technology, Chongqing, China (and 1 more)
- Ye Wang 0007
— National University of Singapore, School of Computing, Singapore (and 1 more)
- Ye Wang 0008
— Beijing University of Posts and Telecommunications, Key Lab of Universal Wireless Communications, Beijing, China
- Ye Wang 0009
— Chinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics and Physics, Changchun, China
- Ye Wang 0010
— Ministry of Science and Technology, Development and Service Center for Science and Technology Talents, Beijing, China (and 1 more)
- Ye Wang 0011
— Communication University of China, Neuroscience and Intelligent Media Institute, Beijing, China
- Ye Wang 0012
— Zhejiang Gongshang University, School of Computer Science and Information Engineering, Hangzhou, China (and 1 more)
- Ye Wang 0013
— University of Southern California, Department of Electrical Engineering, Los Angeles, CA, USA
- Ye Wang 0014 — University of Texas at Austin, Department of Electrical and Computer Engineering, Austin, TX, USA
- Ye Wang 0016
— Harbin Engineering University, College of Mathematical Sciences, China
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2020 – today
- 2024
- [j11]Lei Du
, Zhaoquan Gu
, Ye Wang, Cuiyun Gao
:
Open World Intrusion Detection: An Open Set Recognition Method for CAN Bus in Intelligent Connected Vehicles. IEEE Netw. 38(3): 76-82 (2024) - [j10]Lei Du
, Zhaoquan Gu
, Ye Wang, Le Wang
, Yan Jia:
A Few-Shot Class-Incremental Learning Method for Network Intrusion Detection. IEEE Trans. Netw. Serv. Manag. 21(2): 2389-2401 (2024) - [c22]Shuxian Huang, Ye Wang, Kai Chen, Yan Jia:
Temporal Relational Context Learning for Extrapolation Reasoning on Temporal Knowledge Graphs. ICASSP 2024: 6430-6434 - [c21]Weiqi Hu, Ye Wang, Yan Jia, Qing Liao, Bin Zhou:
A Multi-modal Prompt Learning Framework for Early Detection of Fake News. ICWSM 2024: 651-662 - [i2]Xu Yang, Jiyuan Feng, Songyue Guo, Ye Wang, Ye Ding, Binxing Fang, Qing Liao:
DA-PFL: Dynamic Affinity Aggregation for Personalized Federated Learning. CoRR abs/2403.09284 (2024) - 2023
- [j9]Yan Jia, Mengqi Lin, Ye Wang, Jianming Li, Kai Chen, Joanna Siebert, Geordie Z. Zhang, Qing Liao
:
Extrapolation over temporal knowledge graph via hyperbolic embedding. CAAI Trans. Intell. Technol. 8(2): 418-429 (2023) - [j8]Yan Jia, Zhaoquan Gu, Lei Du, Yu Long, Ye Wang
, Jianxin Li, Yanchun Zhang:
Artificial intelligence enabled cyber security defense for smart cities: A novel attack detection framework based on the MDATA model. Knowl. Based Syst. 276: 110781 (2023) - [j7]Haiyang Wang, Ye Wang, Xin Song, Bin Zhou, Xuechen Zhao, Feng Xie:
Quantifying controversy from stance, sentiment, offensiveness and sarcasm: a fine-grained controversy intensity measurement framework on a Chinese dataset. World Wide Web (WWW) 26(5): 3607-3632 (2023) - [c20]Heyan Chai, Jinhao Cui, Ye Wang, Min Zhang, Binxing Fang, Qing Liao:
Improving Gradient Trade-offs between Tasks in Multi-task Text Classification. ACL (1) 2023: 2565-2579 - [c19]Heyan Chai, Ziyi Yao, Siyu Tang, Ye Wang, Liqiang Nie, Binxing Fang, Qing Liao:
Aspect-to-Scope Oriented Multi-view Contrastive Learning for Aspect-based Sentiment Analysis. EMNLP (Findings) 2023: 10902-10913 - [c18]Bo Pang, Yongquan Fu, Siyuan Ren, Siqi Shen, Ye Wang, Qing Liao, Yan Jia:
A Multi-Modal Approach For Context-Aware Network Traffic Classification. ICASSP 2023: 1-5 - 2022
- [c17]Wei Liu, Yutao Huang, Yibing Guo, Ye Wang, Binxing Fang, Qing Liao:
Topic Modeling for Short Texts Via Dual View Collaborate optimization. DSC 2022: 160-166 - [c16]Chong Mo, Ye Wang, Yan Jia, Cui Luo, Ye Ding:
Temporal Knowledge Graph Reasoning based on Graph Convolution Network. ICDIS 2022: 314-320 - [c15]Yutao Huang, Ye Wang, Qing Liao, Yan Jia, Yongquan Fu:
Multi-Semantics Learning for Social Event Detection via Heterogeneous GNNs. IJCNN 2022: 1-9 - 2021
- [j6]Yingdan Shang, Bin Zhou, Ye Wang, Aiping Li, Kai Chen, Yichen Song, Changjian Lin:
Popularity Prediction of Online Contents via Cascade Graph and Temporal Information. Axioms 10(3): 159 (2021) - [j5]Xiaojuan Zhao, Yan Jia, Aiping Li, Rong Jiang, Kai Chen, Ye Wang:
Target relational attention-oriented knowledge graph reasoning. Neurocomputing 461: 577-586 (2021) - [c14]Mengqi Lin, Qing Liao, Yan Jia, Ye Wang:
Survey on Knowledge Graph Embedding Based on Hyperbolic Geometry. DSC 2021: 152-158 - [c13]Yutao Huang, Qing Liao, Yan Jia, Ye Wang:
Survey on social event detection. DSC 2021: 159-165 - [c12]Chong Mo, Ye Wang, Yan Jia, Qing Liao:
Survey on Temporal Knowledge Graph. DSC 2021: 294-300 - [c11]Haiyang Wang, Xin Song, Bin Zhou, Ye Wang, Liqun Gao, Yan Jia:
Performance Evaluation of Pre-trained Models in Sarcasm Detection Task. WISE (2) 2021: 67-75 - [c10]Haiyang Wang, Xin Song, Bin Zhou, Ye Wang, Liqun Gao, Yan Jia:
MSSF-GCN: Multi-scale Structural and Semantic Information Fusion Graph Convolutional Network for Controversy Detection. WISE (1) 2021: 394-402 - [p2]Yan Jia, Aiping Li, Zhaoquan Gu, Bin Zhou, Ye Wang, Xiang Wang, Hongkui Tu:
The Framework of the MDATA Computing Model. MDATA: A New Knowledge Representation Model 2021: 19-31 - [p1]Liqun Gao, Bin Zhou, Yan Jia, Hongkui Tu, Ye Wang:
Information Cascading in Social Networks. MDATA: A New Knowledge Representation Model 2021: 234-254 - [i1]Bo Pang, Yongquan Fu, Siyuan Ren, Ye Wang, Qing Liao, Yan Jia:
CGNN: Traffic Classification with Graph Neural Network. CoRR abs/2110.09726 (2021) - 2020
- [j4]Bin Zhou, Feifei Li, Jinjun Chen, Ye Wang:
Guest editorial: special issue on data science in cyberspace 2019. World Wide Web 23(4): 2489-2490 (2020) - [c9]Jialin Wang, Shen Liang, Dake He, Ye Wang, Yingpei Wu, Yanchun Zhang:
A Sequential Graph Convolutional Network with Frequency-domain Complex Network of EEG Signals for Epilepsy Detection. BIBM 2020: 785-792 - [c8]Liqun Gao, Bin Zhou, Yan Jia, Hongkui Tu, Ye Wang, Chenguang Chen, Haiyang Wang, Hongwu Zhuang:
Deep Learning for Social Network Information Cascade Analysis: a survey. DSC 2020: 89-97 - [c7]Jialin Wang, Shen Liang, Ye Wang, Yanchun Zhang, Dake He, Jiangang Ma, Chunyang Ruan, Yingpei Wu, Xiaoyuan Hong, Jiaqiu Shen:
A Weighted Overlook Graph Representation of EEG Data for Absence Epilepsy Detection. ICDM 2020: 581-590
2010 – 2019
- 2019
- [j3]Chunyang Ruan, Ye Wang, Jiangang Ma, Yanchun Zhang, Xintian Chen:
Adversarial Heterogeneous Network Embedding with Metapath Attention Mechanism. J. Comput. Sci. Technol. 34(6): 1217-1229 (2019) - [c6]Chunyang Ruan, Ye Wang, Yanchun Zhang, Yun Yang:
Exploring Regularity in Traditional Chinese Medicine Clinical Data Using Heterogeneous Weighted Networks Embedding. DASFAA (3) 2019: 310-313 - [c5]Chunyang Ruan, Jiangang Ma, Ye Wang, Yanchun Zhang, Yun Yang:
Discovering Regularities from Traditional Chinese Medicine Prescriptions via Bipartite Embedding Model. IJCAI 2019: 3346-3352 - 2017
- [j2]Hu Li
, Ye Wang, Hua Wang
, Bin Zhou:
Multi-window based ensemble learning for classification of imbalanced streaming data. World Wide Web 20(6): 1507-1525 (2017) - [c4]Chunyang Ruan, Ye Wang, Yanchun Zhang, Jiangang Ma, Huijuan Chen, Uwe Aickelin
, Shanfeng Zhu, Ting Zhang:
THCluster: Herb supplements categorization for precision traditional Chinese medicine. BIBM 2017: 417-424 - [c3]Ye Wang, Yanchun Zhang, Bin Zhou, Yan Jia:
Semi-Supervised Collective Matrix Factorization for Topic Detection and Document Clustering. DSC 2017: 88-97 - [c2]Ye Wang, Yong Quan, Bin Zhou, Yanchun Zhang, Min Peng:
Topic Detection with Locally Weighted Semi-supervised Collective Learning. WISE (2) 2017: 562-572 - 2016
- [j1]Ye Wang:
Exploring Social Relationships in Text Streams. EAI Endorsed Trans. Scalable Inf. Syst. 3(8): e2 (2016) - 2015
- [c1]Ye Wang, Hu Li, Hua Wang
, Bin Zhou, Yanchun Zhang:
Multi-Window Based Ensemble Learning for Classification of Imbalanced Streaming Data. WISE (2) 2015: 78-92
Coauthor Index
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last updated on 2024-08-30 20:43 CEST by the dblp team
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