Publications

  • Wentao Jin, Yadong Zhou, Yang Liu, Ting Liu. Stealthy Data Integrity Attack against Consensus Based Distributed Energy Management Algorithm. IEEE Transactions on Industrial Informatics, 2024.

  • Sizhe He, Yuxun Zhou, Yadong Zhou, Jiang Wu, Ting Liu, Xiaohong Guan. Data-Driven Identification Model of Vulnerable Set for Cascading Failure in Power Grid. IEEE Transactions on Automation Science and Engineering, 2024.

  • Bowen Hu, Yadong Zhou, Yuxun Zhou, Jiang Wu, Ting Liu, Xiaohong Guan. Data Protection Method Against Cross-Domain Inference Threat in Cyber-Physical Power Grid. IEEE Transactions on Smart Grid, 2024.

  • Haotian Liu, Yadong Zhou, Yuxun Zhou, Bowen Hu. Heterogeneous Dual-Dynamic Attention Network for Modeling Mutual Interplay of Stocks. IEEE Transactions on Artificial Intelligence, 2024.

  • Bowen Hu, Yadong Zhou, Jiang Wu, Ting Liu. Estimating Nodal Admittance Matrix for Ill-Posed Inverse Power Flow Problem in Power Grid. IEEE Transactions on Industrial Informatics, 2023.

  • Yadong Zhou, Bowen Hu, Junjie Zhang, Liyuan Sun, Xingyu Zhu, TingLiu. Detecting suspicious transactions in a virtual-currency-enabled online social network. Journal of Network and Computer Applications, 211: 103555, 2023.

  • Sizhe He, Yuxun Zhou, Yadong Zhou, Jiang Wu, Min Zheng, Ting Liu. Fast Identification of Vulnerable Set for Cascading Failure Analysis in Power Grid. IEEE Transactions on Industrial Informatics, 19(4): 5645-5655, 2023.

  • Yujie Yang, Yadong Zhou, Jiang Wu, Zhanbo Xu, Sizhe He, Xiaohong Guan, Ting Liu. An Event-Triggered Hybrid System Model for Cascading Failure in Power Grid. IEEE Transactions on Automation Science and Engineering, 19(3): 1312-1325, 2022.

  • Yadong Zhou, Zhihao Ding, Xiaoming Liu, Chao Shen, Lingling Tong, Xiaohong Guan. Infer-AVAE: An attribute inference model based on adversarial variational autoencoder. Neurocomputing, 483: 105-115, 2022.

  • Yadong Zhou, Hao Li, Kaiyue Chen, Tian Pan, Kun Qian, Kai Zheng, Bin Liu, Peng Zhang, Yazhe Tang, Chengchen Hu. Raze policy conflicts in SDN. Journal of Network and Computer Applications, 199: 103307, 2022.

  • Yujie Yang, Yadong Zhou, Jiang Wu, Ting Liu, Zhanbo Xu, Xiaohong Guan. A Dynamic Cascading Failure Model in Power Grid with Renewable Energy Generation. IEEE 18th International Conference on Automation Science and Engineering (CASE), Mexico City, Mexico, 2022.

  • Guoliang Zhao, Yuxun Zhou, Zhanbo Xu, Yadong Zhou, Jiang Wu. Hierarchical Multi-Supervision Multi-interaction Graph Attention Network for Multi-Camera Pedestrian Trajectory Prediction. AAAI 2022.

  • Yadong Zhou, Tianyi Yue, Xiaoming Liu, Chao Shen, Lingling Tong, Zhihao Ding. Payment-Guard: Detecting fraudulent in-app purchases in iOS system. Neurocomputing, 422: 263-276, 2021.

  • Yadong Zhou, Ying Su, Zhanbo Xu, Xukun Wang, Jiang Wu, Xiaohong Guan. A hybrid physics-based/data-driven model for personalized dynamic thermal comfort in ordinary office environment. Energy and Buildings, Volume 238, 1 May 2021, 110790.

  • Xiaoming Liu, Yu Lan, Yadong Zhou, Chao Shen, Xiaohong Guan. A Real-time Explainable Traffic Collision Inference Framework Based on Probabilistic Graph Theory. Knowledge-Based Systems, 212: 106442, 2021.
  • Sizhe He, Yadong Zhou, Jiang Wu, Zhanbo Xu, Xiaohong Guan, Wei Chen, Ting Liu. Identifying Vulnerable Set of Cascading Failure in Power Grid Using Deep Learning Framework. IEEE 17th International Conference on Automation Science and Engineering (CASE), Lyon, France, 2021.
  • Yadong Zhou, Bowen Hu, Jiang Wu, Zhanbo Xu, Xiaohong Guan, Wei Chen, Ting Liu. An Estimation Method of Transmission Line Parameters Based on Measurements of Injection Power and Voltage Phasor in Power Grid. IEEE 17th International Conference on Automation Science and Engineering (CASE), Lyon, France, 2021.
  • Tianyi Yue, Yadong Zhou, Bowen Hu, Zhanbo Xu, Xiaohong Guan, Hao Zhou, Ting Liu. An Unsupervised-Learning Based Method for Detecting Groups of Malicious Web Crawlers in Internet. IEEE 17th International Conference on Automation Science and Engineering (CASE), Lyon, France, 2021.
  • Yujie Yang, Yadong Zhou, Jiang Wu, Zhanbo Xu, Xiaohong Guan, Wei Chen, Ting Liu. A Dynamic Cascading Failure Model Integrating Relay Protection in Power Grid. IEEE 16th International Conference on Automation Science and Engineering (CASE), Hong Kong, 2020.  
  • Ying Su, Yadong Zhou, Zhanbo Xu, Jiang Wu, Yaping Liu, Yuntao Guo, Xiaohong Guan. Group Comfort Models: Predicting Indoor Group Thermal Comfort by Learning Preferences of Multiple Occupants. IEEE 16th International Conference on Automation Science and Engineering (CASE), Hong Kong, 2020.
  • Xiaoming Liu, Chao Shen, Xiaohong Guan, Yadong Zhou. DIGGER: Detect Similar Groups in Heterogeneous Social Networks. ACM Transactions on Knowledge Discovery from Data, 13(1): 2:1-2:27, 2019.
  • Yadong Zhou, Xukun Wang, Zhanbo Xu, Ying Su, Ting Liu, Chao Shen, Xiaohong Guan. A Model-Driven Learning Approach for Predicting the Personalized Dynamic Thermal Comfort in Ordinary Office Environment. IEEE CASE 2019.
  • Xiaoming Liu, Chao Shen, Yingyue Fan, Xiaozi Liu, Yadong Zhou, Xiaohong Guan. A Co-Evolutionary Model for Inferring Online Social Network User Behaviors. IEEE SPAC 2018.  [Best Student Paper Award] 
  • Xiaohong Guan, Zhanbo Xu, Qingshan Jia, Kun Liu, Yadong Zhou. Cyber-Physical Model for Efficient and Secured Operation of CPES or Energy Internet. SCIENCE CHINA Information Sciences, 61(11), 2018.
  • Yadong Zhou, Ximi Wang, Junjie Zhang, Peng Zhang, Lili Liu, Huan Jin, and Hongbo Jin. Analyzing and Detecting Money Laundering Accounts in Online Social Networks. IEEE Network, vol. 32, no. 3, pp. 115-121, May/June 2018.
  • Yadong Zhou, Kaiyue Chen, Junjie Zhang, Junyuan Leng and Yazhe Tang. Exploiting the Vulnerability of Flow Table Overflow in Software-Defined Network: Attack Model, Evaluation and Defense. Security and Communication Networks, 2018.
  • Hao Li, Kaiyue Chen, Tian Pan, Yadong Zhou, Kun Qian, Kai Zheng, Bin Liu, Peng Zhang, Yazhe Tang, Chengchen Hu. CORA: Conflict Razor for Policies in SDN. IEEE INFOCOM, 2018.
  • Xiaoming Liu, Chao Shen, Xiaohong Guan, Yadong Zhou. We Know Who You Are: Discovering Similar Groups Across Multiple Social Networks. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018.
  • Xiaoming Liu, Yadong Zhou, Xiaohong Guan, Chao Shen. A feasible graph partition framework for parallel computing of big graph. Knowledge-Based Systems, Volume 134, 15 October 2017, Pages 228-239.
  • Yadong Zhou, Beibei Zhang, Xiaoxiao Sun, Qinghua Zheng, Ting Liu. Analyzing and modeling dynamics of information diffusion in microblogging social network. Journal of Network and Computer Applications, Volume 86, 15 May 2017, Pages 92–102.
  • Qi Dang, Yadong Zhou, Feng Gao, Qindong Sun. Detecting cooperative and organized spammer groups in micro-blogging community. Data Mining and Knowledge Discovery, May 2017, Volume 31, Issue 3, pp. 573–605.
  • Liyuan Sun, Yadong Zhou, Xiaohong Guan. Modeling multi-topic information propagation in online social networks based on resource competition. Journal of Information Science, Vol 43, Issue 3, 2017, pp. 342-355.
  • Nan Wang, Qindong Sun, Yadong Zhou, Si Shen. A Study on Influential User Identification in Online Social Networks. Chinese Journal of Electronics, 2016, 25(3): 467-473.
  • Huanzhao Wang, Kun Qian, Chengchen Hu, Che Zhang, Yadong Zhou. Routing optimization for server-centric data center networks. Computer Science and Information Systems, 2016, 13(2): 593–608.
  • Xiaoming Liu, Yadong Zhou, Chengchen Hu, Xiaohong Guan, MIRACLE: A multiple independent random walks community parallel detection algorithm for big graphs. Journal of Network and Computer Applications, Volume 70, July 2016, Pages 89-101.
  • Qi Dang, Feng Gao, Yadong Zhou, Early detection method for emerging topics based on dynamic bayesian networks in micro-blogging networks. Expert Systems with Applications, Volume 57, 15 September 2016, Pages 285-295.
  • Beibei Zhang, Yadong Zhou, Xiaoyan Xu, Dai Wang, Xiaohong Guan, Dynamic structure evolution of time-dependent network. Physica A: Statistical Mechanics and its Applications, Volume 456, 15 August 2016, Pages 347-358.
  • Siyun Chen, Ting Liu, Yadong Zhou, Chao Shen, Feng Gao, Yulin Che, Zhanbo Xu. SHE: Smart Home Energy Management System Based on Social and Motion Behavior Cognition. IEEE International Conference on Smart Grid Communications (SmartGridComm). IEEE, 2015: 859-864.
  • Xiaoming Liu, Yadong Zhou, Chengchen Hu, Xiaohong Guan. Detecting Community Structure for Undirected Big Graphs Based on Random Walks. Proceedings of the companion publication of the 23rd international conference on World Wide Web companion. Pages 1151-1156. Seoul, Korea. 2014.
  • Qindong Sun, Nan Wang, Yadong Zhou, Hanqin Wang, and Liansheng Sui. Modeling for user interaction by influence transfer effect in online social networks. In Local Computer Networks (LCN), 2014 IEEE 39th Conference on, pp. 486-489. IEEE, 2014.
  • Wang Hailiang, Yadong Zhou, and Xiaohong Guan. Exploring the efficiency and mechanism of whistleblowing system on social networking site. In Communications (ICC), 2014 IEEE International Conference on, pp. 3740-3745. IEEE, 2014.
  • Beibei Zhang, Xiaohong Guan, Muhammad Khan, Yadong Zhou. A time-varying propagation model of hot topic on BBS sites and Blog networks. Information Sciences, 187 (2012) 15–32.
  • Junzhou Zhao, John CS Lui, Don Towsley, Xiaohong Guan, Yadong Zhou. Empirical analysis of the evolution of follower network: A case study on Douban. In Computer Communications Workshops (INFOCOM WKSHPS), 2011 IEEE Conference on, pp. 924-929. IEEE, 2011.
  • Yadong Zhou, Xiaohong Guan, Qinghua Zheng, Qindong Sun, Junzhou Zhao. Group dynamics in discussing incidental topics over online social networks, IEEE Network, Vol.24, No.6, pp.42-47, November-December 2010.
  • Xiaohong Guan, Yadong Zhou, Qinghua Zheng, Qindong Sun, Junzhou Zhao. Dynamic Models and Analysis for Information Propagation in Online Social Networks. Socio-Technical Networks: Science and Engineering Design, Taylor and Francis, CRC press, 2010. [Book Chapter]
  • Yadong Zhou, Xiaohong Guan, Zhefei Zhang, Beibei Zhang. Predicting the tendency of topic discussion on the online social networks using a dynamic probability model. WebScience’08: workshop for ACM Conference on Hypertext and Hypermedia . Pittsburgh, USA, 2008.
  • 刘烃，王子骏，刘杨，周亚东，吴江，鲍远义，吴桐，管晓宏. 数据推断: 信息物理融合系统数据泄露威胁范式和防御方法. 中国科学: 信息科学, 2023, 53(11): 2152-2179.
  • 刘晓明，张兆晗，杨晨阳，张宇辰，沈超，周亚东，管晓宏. 在线社交网络文本内容对抗技术. 计算机学报，2022.
  • 刘烃，田决，王稼舟，吴宏宇，孙利民，周亚东，沈超，管晓宏. 信息物理融合系统综合安全威胁与防御研究. 自动化学报，2019.
  • 周亚东，陈凯悦，冷俊园，胡成臣. 软件定义网络流表溢出脆弱性分析及防御方法. 西安交通大学学报, vol. 51, No. 10, 2017.
  • 周亚东，刘丽丽，张贝贝，雷蕾. 在线社会网络中多话题竞态传播分析与建模. 西安交通大学学报, vol. 51, No. 2, 2017.
  • 王楠, 孙钦东, 周亚东,王汉秦, 隋连升. 基于区域交互模型的SNS网络用户影响力评估. 通信学报, 2016, 37(1):160-169.
  • 周亚东, 刘晓明, 杜友田, 管晓宏, 刘霁. 一种网络话题的内容焦点迁移识别方法. 计算机学报, Vol. 38, No. 2, 2015.
  • 孙立远, 周亚东, 管晓宏. 利用信息传播特性的中文网络新词发现方法. 西安交通大学学报, 2015, 49(12):59-64.
  • 王晨旭, 管晓宏, 秦涛, 周亚东. 微博消息传播中意见领袖影响力建模研究. 软件学报, 2015, 26(6):1473-1485.
  • 王晨旭，秦涛，管晓宏，周亚东. 有向网络兴趣社区的快速挖掘算法及其在僵尸粉检测中的应用，西安交通大学学报，48(6), 2014.
  • 杜友田, 李谦, 周亚东, 吴陈鹤. 基于异质信息融合的网络图像半监督学习方法. 自动化学报. Vol.38, No.12, 2012.
  • 薛峰，周亚东，高峰. 一种突发性热点话题在线发现与跟踪方法. 西安交通大学学报. Vol.45, No.12, 2011年12月.
  • 孙钦东, 管晓宏, 周亚东. 网络信息内容审计研究的现状及趋势. 计算机研究与发展. Vol.46, No.8, 2010年8月. pp 1241-1250.
  • 周亚东, 孙钦东, 管晓宏, 李卫, 陶敬. 流量内容词语相关度的网络热点话题提取. 西安交通大学学报,2007年第10期,1142-1145.