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ORCIDKe Yu 0001
Person information
- affiliation: Beijing University of Posts and Telecommunications (BUPT), School of Artificial Intelligence, China
- affiliation (2015-2016): University of Illinois Chicago, IL, USA
- affiliation (2011): University of Agder, Kristiansand, Norway
- affiliation (PhD 2005): Beijing University of Posts and Telecommunications, Department of computer science, China
Other persons with the same name
- Ke Yu — disambiguation page
- Ke Yu 0002
![[0000-0001-9882-5729]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0001-9882-5729")
— University of Pittsburgh, Department of Biomedical Informatics, PA, USA - Ke Yu 0003 — Chinese University of Hong Kong (CUHK), Department of Information Engineering, Hong Kong (and 1 more)
- Ke Yu 0004 — University of California, San Diego (UCSD), CA, USA (and 1 more)
- Ke Yu 0005 — National Engineering Research Center of Mobile Network Technologies, China (and 2 more)
- Ke Yu 0006 — Swinburne University of Technology, Department of Computing Technologies, Hawthorn, VIC, Australia
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2020 – today
- 2026
[j21]Hao Zhou, Wentao Xu, Xuan Zhang, Anis Yazidi, Ke Yu:
Temporal Conditional Score Network for Multivariate Time Series Anomaly Detection. IEEE Internet Things J. 13(13): 28165-28180 (2026)- [j20]Guocheng Lin, Yang Xiao, Shudan Yu, Ke Yu, Jun Liu:
Constrained Probabilistic Routing With RouterRL: A General Packet-Level Network Simulation Framework. IEEE Trans. Netw. Sci. Eng. 13: 2604-2622 (2026) - 2025
- [j19]Jiayi Gui, Zhongnan Ma, Hao Zhou, Yan Su, Miaoru Zhang, Ke Yu, Xiaofei Wu:
Deep anomaly detection of temporal heterogeneous data in AIOps: a survey. Frontiers Inf. Technol. Electron. Eng. 26(9): 1551-1576 (2025) - [j18]Hao Zhou, Suman Sourav, Binbin Chen, Ke Yu:
SRLR: Symbolic Regression-Based Logic Recovery to Counter Programmable Logic Controller Attacks. IEEE Trans. Inf. Forensics Secur. 20: 12491-12506 (2025) - [c26]Jiayi Gui, Baitong Cui, Xiaolian Guo, Ke Yu, Xiaofei Wu:
AIDER: a Robust and Topic-Independent Framework for Detecting AI-Generated Text. COLING 2025: 9299-9310 - [i1]Hao Zhou, Suman Sourav, Binbin Chen, Ke Yu:
SRLR: Symbolic Regression based Logic Recovery to Counter Programmable Logic Controller Attacks. CoRR abs/2512.11298 (2025) - 2024
- [j17]Xueying Han, Mingxi Xie, Ke Yu, Xiaohong Huang, Zongpeng Du, Huijuan Yao:
Combining graph neural network with deep reinforcement learning for resource allocation in computing force networks. Frontiers Inf. Technol. Electron. Eng. 25(5): 701-712 (2024) - [j16]Jiayi Gui, Yuhao Zhou, Ke Yu, Xiaofei Wu:
PSC-BERT: A spam identification and classification algorithm via prompt learning and spell check. Knowl. Based Syst. 301: 112266 (2024) - [j15]Miaoru Zhang, Hao Zhou, Ke Yu, Xiaofei Wu:
Cellular Network Traffic Prediction with Hybrid Graph Convolutional Recurrent Network. Wirel. Pers. Commun. 138(3): 1867-1892 (2024) - [c25]Junze Li, Xinyuan Li, Ke Yu, Jun Liu:
PPO-TEGN: Towards Robust Deep Reinforcement Learning-based Routing Algorithm. GLOBECOM 2024: 2605-2610 - [c24]Jiaqian Jiang, Xiaoyi Bian, Ke Yu, Xiaofei Wu:
Computing Power and Energy Aware Optimized Link State Routing for Flying Ad Hoc Networks. ICCIP 2024: 93-100 - [c23]Hao Zhou, Dunyuan Yao, Binbin Chen, Ke Yu, Xiaofei Wu:
Graph Convolution Network Based State Space Model for Wireless Traffic Prediction. WCNC 2024: 1-6 - 2023
- [j14]Xuanyu Zhang, Hao Zhou, Ke Yu, Xiaofei Wu, Anis Yazidi:
Tsetlin Machine for Sentiment Analysis and Spam Review Detection in Chinese. Algorithms 16(2): 93 (2023) - [j13]Song Han, Ke Yu, Xing Su, Xiaofei Wu:
Combining Temporal and Interactive Features for Rumor Detection: A Graph Neural Network Based Model. Neural Process. Lett. 55(5): 5675-5691 (2023) - [c22]Zejie Li, Ke Yu, Hao Zhou, Xiaofei Wu:
DQN-Based Collaborative Computation Offloading for Edge Load Balancing. IC-NIDC 2023: 1-6 - [c21]Mingxi Xie, Ke Yu, Xiaofei Wu:
Adaptive Routing of Task in Computing Force Network by Integrating Graph Convolutional Network and Deep Q-Network. IC-NIDC 2023: 242-247 - 2022
- [j12]Hao Zhou, Ke Yu, Xuan Zhang, Guanlin Wu, Anis Yazidi:
Contrastive autoencoder for anomaly detection in multivariate time series. Inf. Sci. 610: 266-280 (2022) - [j11]Tong Liu, Ke Yu, Lu Wang, Xuanyu Zhang, Hao Zhou, Xiaofei Wu:
Clickbait detection on WeChat: A deep model integrating semantic and syntactic information. Knowl. Based Syst. 245: 108605 (2022) - [j10]Huanyu Cai, Ke Yu, Yuhao Zhou, Xiaofei Wu:
Co-attention Based Feature Fusion Network for Spam Review Detection on Douban. Neural Process. Lett. 54(6): 5251-5271 (2022) - [c20]Jiayi Gui, Ke Yu, Hao Zhou, Xiaofei Wu:
Clickbait Analysis and Detection Method on Chinese Social Media. BigCom 2022: 342-349 - 2021
- [j9]Jiaming Zheng, Ke Yu, Xiaofei Wu:
A deep model based on Lure and Similarity for Adaptive Clickbait Detection. Knowl. Based Syst. 214: 106714 (2021) - [c19]Huanyu Cai, Ke Yu, Xiaofei Wu:
Co-attention Based Deep Model with Domain-Adversarial Training for Spam Review Detection. ICNCC 2021: 14-18 - [c18]Yuhan Zhao, Zheng Chong, Xueying Han, Zongpeng Du, Ke Yu, Xiaohong Huang:
Simulation Study of Routing Mechanism in the Computing-aware Network. ICNCC 2021: 126-134 - [c17]Tong Liu, Ke Yu, Lu Wang, Xuanyu Zhang, Xiaofei Wu:
WCD: A New Chinese Online Social Media Dataset for Clickbait Analysis and Detection. IC-NIDC 2021: 368-372 - [c16]Ting Li, Ke Yu, Xiaofei Wu:
Hierarchical Cyber Troll Detection with Text and User Behavior. IC-NIDC 2021: 440-444 - 2020
- [j8]Chang Song, Ke Yu, Xiaofei Wu:
基于改进边权重的成对马尔可夫随机场模型的社交异常账号检测方法 (Fake Account Detection Method in Online Social Network Based on Improved Edge Weighted Paired Markov Random Field Model). 计算机科学 47(2): 251-255 (2020) - [j7]Zijian Niu, Ke Yu, Xiaofei Wu:
LSTM-Based VAE-GAN for Time-Series Anomaly Detection. Sensors 20(13): 3738 (2020) - [j6]Ke Yu, Hao Jiang, Ting Li, Song Han, Xiaofei Wu:
Data Fusion Oriented Graph Convolution Network Model for Rumor Detection. IEEE Trans. Netw. Serv. Manag. 17(4): 2171-2181 (2020) - [c15]Chao Wei, Ke Yu, Xiaofei Wu:
POS Scaling Attention Model for Joint Slot Filling and Intent Classification. ICCT 2020: 1483-1487
2010 – 2019
- 2019
- [j5]Ke Yu, Lifang He, Philip S. Yu, Wenkai Zhang, Yue Liu:
Coupled Tensor Decomposition for User Clustering in Mobile Internet Traffic Interaction Pattern. IEEE Access 7: 18113-18124 (2019) - [j4]Yue Liu, Ke Yu, Xiaofei Wu, Linbo Qing, Yonghong Peng:
Analysis and Detection of Health-Related Misinformation on Chinese Social Media. IEEE Access 7: 154480-154489 (2019) - 2018
- [j3]Ke Yu, Yue Liu, Linbo Qing, Binbin Wang, Yongqiang Cheng:
Positive and Unlabeled Learning for User Behavior Analysis Based on Mobile Internet Traffic Data. IEEE Access 6: 37568-37580 (2018) - 2017
- [c14]Binbin Wang, Ke Yu, Xiaofei Wu, Fang Wei, Wan Jiang, Di Pan:
Positive and Unlabeled Learning for Mobile App User and Server Interaction Prediction. ChinaCom (1) 2017: 481-491 - [c13]Di Pan, Ke Yu, Xiaofei Wu, Binbin Wang, Yaowen Tan:
E-commerce user behavior classification based on URL information from telecom DPI data. ICCC 2017: 1-6 - [c12]Chuting Wu, Tianshu Yin, Shuaijun Ge, Ke Yu:
Ensemble Learning for Crowd Flows Prediction on Campus. SmartCom 2017: 103-113 - [c11]Yaowen Tan, Ke Yu, Xiaofei Wu, Di Pan, Yang Liu:
Predicting App Usage Based on Link Prediction in User-App Bipartite Network. SmartCom 2017: 191-205 - [c10]Feifei Liu, Fang Wei, Ke Yu, Xiaofei Wu:
Sentiment Classification of Reviews on Automobile Websites by Combining Word2Vec and Dependency Parsing. SmartCom 2017: 206-221 - 2015
- [j2]Ke Yu, Frank Y. Li, Xiaofei Wu, Jiaxi Di:
The heterogeneity of inter-domain Internet application flows: entropic analysis and flow graph modelling. Trans. Emerg. Telecommun. Technol. 26(5): 760-771 (2015) - 2014
- [j1]Xiaofei Wu, Xin Wang, Ke Yu, Frank Y. Li:
A measurement-based study on the correlations of inter-domain Internet application flows. Comput. Networks 58: 127-140 (2014) - [c9]Qizhao Zhou, Ke Yu, Xiaofei Wu, Jiaxi Di, Xinyu Zhang:
Self-Similarity Analysis of Mobile Instant Messaging Applications' Traffic and Server. VTC Fall 2014: 1-6 - 2013
- [c8]Ke Yu, Jiaxi Di, Xinyu Zhang, Xiaofei Wu:
Using traffic flow data to analyze the large-scale social networking behavior. WPMC 2013: 1-6 - 2012
- [c7]Jiaxi Di, Ke Yu, Xiaofei Wu, Sixi Su:
A novel complex network model for Internet traffic flows. CCIS 2012: 563-567 - [c6]Ke Yu, Xinyu Zhang, Jiaxi Di, Xiaofei Wu:
Internet traffic identification based on community detection by label propagation. CCIS 2012: 786-791 - [c5]Xinyu Zhang, Ke Yu, Xiaofei Wu, Sixi Su:
Analysis of Internet flow graph with high-degree nodes based on complex network theory. IC-NIDC 2012: 333-338 - 2011
- [c4]Yang Cao, Ke Yu, Xiaofei Wu:
Analyzing the topology characteristics of P2P overlay networks for QoE evaluation. ICT 2011: 388-393 - [c3]Xiaofei Wu, Ke Yu, Xin Wang:
On the growth of Internet application flows: A complex network perspective. INFOCOM 2011: 2096-2104 - 2010
- [c2]Ke Yu, Xiaofei Wu, Yang Cao, Zhijia Nian:
Analyzing the Behavioral Structure Characteristics from Web Traffic. UIC 2010: 577-589
2000 – 2009
- 2009
- [c1]Ke Yu, Xuan Wang, Songlin Sun, Lin Zhang, Xiaofei Wu:
A Statistical Connection Admission Control Mechanism for Multiservice IEEE 802.16 Network. VTC Spring 2009
Coauthor Index
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