Publications

With my students and collaborators, I have authored or co-authored over 100 peer-reviewed articles in cyber-physical security and computational intelligence, with applications to smart grids, smart cities, and other smart critical infrastructures. 

I was a recipient of the Best Paper award at IEEE ICC, the Best Student Paper award at IEEE WCCI, the Best Readings of IEEE Communication Society (ComSoc) on "Communications & Information Systems Security - Cyber Attacks," the Best Reviewer of the IEEE Transactions on Smart Grid, among others. 

I was also the sole recipient of the Excellence in Doctoral Research award from the University of Rhode Island among the Ph.D. Class of 2018.

According to Google Scholar Metrics, some of our publications are among the most-cited papers published in the last 5 years, including:

One of our surveys has been the most-cited paper published in IET Cyber-Physical Systems: Theories & Applications since 2016.

Journal Publications

Accepted/Early Access:

[61] [TIE] Linhan Qiao, Shun Li*, Youmin Zhang, Jun Yan, "Early Wildfire Detection and Distance Estimation Using Aerial Visible-Infrared Images," accepted by IEEE Transactions on Industrial Electronics. DOI: 10.1109/TIE.2024.3387089

[60] [TPS] Hang Du*, Jun Yan, Mohsen Ghafouri, Rawad Zgheib, Mourad Debbabi, "Modeling and Detection of Cyber Attacks Targeting Converter-Driven Stability of Power Grids with PMSG-Based Wind Farms," accepted by IEEE Transactions on Power Systems. DOI: 10.1109/TPWRS.2024.3365416

Published:

[59] [TII] Moshfeka Rahman*, Jun Yan, Emmanuel Thepie Fapi, "Adversarial Artificial Intelligence in Blind False Data Injection in Smart Grid AC State Estimation,"  in IEEE Transactions on Industrial Informatics, vol. 20, no. 6, pp. 8873-8883, June 2024, doi: 10.1109/TII.2024.3374374

[58] [TSG] Chaoxu Mu, Zhaoyang Liu, Jun Yan, Hongjie Jia, and Xiaoyu Zhang, "Graph Multi-Agent Reinforcement Learning for Inverter-Based Active Voltage Control," IEEE Transactions on Smart Grid, vol. 15, no. 2, pp. 1399-1409, March 2024. DOI: 10.1109/TSG.2023.3298807

[57] [TSG] Leijiao Ge, Hangxu Liu, Jun Yan, Bing Sun, Yuanzheng Li, and Luyang Hou, "A Novel Distributed PV Data Virtual Collection with Continuous-Binary Denoising Auto-Encoders," IEEE Transactions on Smart Grid, vol. 15, no. 1, pp. 1152-1164, Jan. 2024. DOI: 10.1109/TSG.2023.3286490

[56] [TSG] Gang Cheng, Yuzhang Lin, Junbo Zhao, and Jun Yan, "Model-Measurement Data Integrity Attacks," IEEE Transactions on Smart Grid, vol. 14, no. 6, pp. 4741-4757, Nov. 2023. DOI: 10.1109/TSG.2023.3253781

[55] [TSG] Chengming Hu*, Jun Yan, and Xue (Steve) Liu, "Reinforcement Learning-Based Adaptive Feature Boosting for Smart Grid Intrusion Detection,"IEEE Transactions on Smart Grid, vol. 14, no. 4, pp. 3150-3163, July 2023. DOI: 10.1109/TSG.2022.3230730

[54] [TPS] Masoud Zadsar, Ahmadreza Abazari, Amir Ameli, Jun Yan, and Mohsen Ghafouri, “Prevention and Detection of Coordinated False Data Injection Attacks on Integrated Power and Gas Systems,” IEEE Transactions on Power Systems, vol. 38, no. 5, pp. 4252-4268, Sept. 2023. DOI: 10.1109/TPWRS.2022.3216118.

[53] [TPS] Leijiao Ge, Hangxu Liu, Jun Yan, Yuanzheng Li, and Jia'an Zhang, "A Virtual Data Collection Model of Distributed PVs considering Spatio-Temporal Coupling and Affine Optimization Reference," IEEE Transactions on Power Systems, vol. 38, no. 4, pp. 3939-3951, July 2023. DOI: 10.1109/TPWRS.2022.3204176.

[52] [IJEPES] Luyang Hou, Yuanliang Li*, Jun Yan, Chun Wang, Li Wang, and Biao Wang, “Multi-Agent Reinforcement Mechanism Design for Dynamic Pricing-Based Demand Response in a Smart Charging Network,” International Journal of Electrical Power and Energy Systems, vol. 147, pp. 108843, May 2023.

[51] [TPEL] Yuanliang Li* and Jun Yan, "Cybersecurity of Smart Inverters in the Smart Grid: A Survey," IEEE Transactions on Power Electronics, vol. 38, no. 2, pp. 2364-2383, Feb. 2023.

[50] [IoT-J] Quentin Varo*, William Lardier*, and Jun Yan, "Dynamic Reduced-Round TLS Extension for Secure and Energy-Saving Communication of IoT Devices," IEEE Internet of Things Journal. vol. 9, no. 23, pp. 23366-23378, Dec. 2022.

[49] Leijiao Ge, Tianshuo Du, Changlu Li, Yuanliang Li*, Jun Yan, and Muhammad Umer Rafiq, "Virtual Collection for Distributed Photovoltaic Data: Challenges, Methodologies, and Applications," Energies, vol. 15, no. 23 pp. 8783, Nov. 2022.

[48] Pengyi Liao*, Jun Yan, Jean Michel Sellier, and Yongxuan Zhang*, "TADA: A Transferable Domain-Adversarial Training for Smart Grid Intrusion Detection based on Ensemble Divergence Metrics and Spatiotemporal Features," Energies, vol. 15, no. 23 pp. 8778, Nov. 2022.

[47] Tianyu Chen*, Sheng Li, and Jun Yan, "CS-RNN: Efficient Training of Recurrent Neural Networks with Continuous Skips," Neural Computing and Applications. vol. 39, no. 19, pp. 16515-16532, Oct. 2022.

[46] [TSUSC] Leijiao Ge, Jiaheng Liu, Jun Yan, and Muhammad Umer Rafiq, "Improved Harris Hawks Optimization for Configuration of PV Intelligent Edge Terminals," IEEE Transactions on Sustainable Computing, vol. 7, no. 3, pp. 631-643, July 2022.

[45] [T-ITS] Luyang Hou*, Jun Yan, Chun Wang, and Lejiao Ge, "A Simultaneous Multi-Round Auction Design for Scheduling Multiple Charges of Battery Electric Vehicles on Highways," IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 7, pp. 8024-8036, July 2022.

[44] Pengyi Liao*, Jun Yan, Jean Michel Sellier, and Yongxuan Zhang*, "Divergence-Based Transferability Analysis for Self-Adaptive Smart Grid Intrusion Detection With Transfer Learning," IEEE Access, vol. 10, pp. 68807-68818, June 2022.

[43] [TIFS] Meng Zhang, Zhuorui Wu, Jun Yan, Rongxing Lu, and Xiaohong Guan, "Attack-Resilient Optimal PMU Placement via Reinforcement Learning Guided Tree Search in Smart Grids," IEEE Transactions on Information Forensics and Security, vol. 17, pp. 1919-1929, June 2022.

[42] [TSG] Gang Cheng, Yuzhang Lin, Junbo Zhao, and Jun Yan, "A Highly Discriminative Detector against False Data Injection Attacks in AC State Estimation," IEEE Transactions on Smart Grid, vol. 13, no. 3, pp. 2318-2330, May 2022.

[41] [TSTE] Leijiao Ge, Hangxu Liu, Jun Yan, Xinshan Zhu, Shuai Zhang, and Yuanzheng Li, "Optimal Integrated Energy System Planning with DG Uncertainty Affine Model and Carbon Emissions Charges," IEEE Transactions on Sustainable Energy, vol. 13, no. 2, pp. 905-918, Apr. 2022.

[40] Leijiao Ge, Yuanliang Li, Yuanliang Li*, Jun Yan, and Yonghui Sun, "Smart Distribution Network Situation Awareness for High-Quality Operation and Maintenance: A Brief Review," Energies, vol. 15, no. 3, pp. 828, Mar. 2022

[39] Luyang Hou*, Chun Wang, and Jun Yan, "An Incentive-Compatible Combinatorial Auction Design for Charging Network Scheduling of Battery Electric Vehicles," Journal of Integrated Design and Process Science, vol. 24, no. 2, pp. 75-92, Jan. 2022.

[38] [TCYB] Ding Wang, Long Cheng, and Jun Yan, "Self-Learning Robust Control Synthesis and Trajectory Tracking of Uncertain Dynamics," IEEE Transactions on Cybernetics, vol. 52, no. 1, pp. 278-286, Jan. 2022.

[37] [TCYB] Zhenxing Li*, Jun Yan, Wenwu Yu, and Jianlong Qiu, "Adaptive Event-triggered Control for Unknown Second-order Nonlinear Multi-agent Systems," IEEE Transactions on Cybernetics, vol. 51, no. 12, pp. 6131-6140, Dec. 2021.

[36] Leijiao Ge, Yuanliang Li, Jun Yan, Yuqian Wang, and Na Zhang, “Short-Term Load Prediction of Integrated Energy System with Wavelet Neural Network Model Based on Improved Particle Swarm Optimization and Chaos Optimization Algorithm,” Journal of Modern Power Systems and Clean Energy. vol. 9, no. 6, Nov. 2021.

[35] [TSG] Mohsen Ghafouri, Ulas Karaagac, Amir Ameli, Jun Yan, and Chadi Assi, "A Cyber Attack Mitigation Scheme for Series Compensated DFIG-Based Wind Parks," IEEE Transactions on Smart Grid, vol. 12, no. 6, pp. 5221-5232, Nov. 2021.

[34] [TSMC] Zhenxing Li*, Jun Yan, Wenwu Yu, and Jianlong Qiu, "Event-Triggered Control for a Class of Nonlinear Multi-Agent Systems with Directed Graph," IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 51, no. 11, pp. 6986-6993, Nov. 2021.

[33] Leijiao Ge, Yuanliang Li, Suxuan Li, Jiebei Zhu, and Jun Yan, “Evaluation of the Situational Awareness Effects for Smart Distribution Networks under the Novel Design of Indicator Framework and Hybrid Weighting Method,” Frontiers in Energy, vol. 15, pp 143-158. Mar. 2021.

[32] [TSG] Mohsen Ghafouri*, Au Minh, Marthe Karssouf, Mourad Debbabi, Chadi Assi, and Jun Yan, "Detection and Mitigation of Cyber Attacks on Voltage Stability Monitoring of Smart Grids," IEEE Transactions on Smart Grid, vol. 11, no. 6, pp. 5227-5238, Nov. 2020. 

[31] Leijiao Ge, Yiming Xian, Jun Yan, Bo Wang, and Zhongguan Wang, “A Hybrid Model for Short-term PV Output Forecasting Based on PCA-GWO-GRNN,” Journal of Modern Power Systems and Clean Energy, vol. 8, no. 6, pp. 1268-1275, Nov. 2020.

[30] [ISJ] Ekram Kabir, Chadi Assi, Mosaddek Tushar, and Jun Yan, "Optimal Scheduling of EV Charging at a Solar Power Based Charging Station," IEEE Systems Journal. vol. 14, no. 3, pp. 4221-4231, Sep. 2020.

[29] [T-ITS] Luyang Hou*, Chun Wang, and Jun Yan, "Bidding for Preferred Timing: An Auction Design for Electric Vehicle Charging Station Scheduling," IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 8, pp. 3332-3343, Aug. 2020. 

[28] Leijiao Ge, Yuanliang Li, Xinshan Zhu, Yue Zhou, Ting Wang, and Jun Yan, "An Evaluation System for HVDC Protection Systems by a Novel Indicator Framework and a Self-Learning Combination Method," IEEE Access, vol. 8, pp. 152053-152070, Aug. 2020.

[27] [TVT] Ekram Kabir, Chadi Assi, Hyame Alameddine, Joseph Antoun, and Jun Yan, "Demand-Aware Provisioning of Electric Vehicles Fast Charging Infrastructure," IEEE Transactions on Vehicular Technology, vol. 69, no. 7, pp. 6952-6963, Jul. 2020.

[26] [IJEPES] Jun Yang, Fuzhang Wu, Jun Yan, Yangjia Lin, Xiangpeng Zhan, Lei Chen, Siyang Liao, Jian Xu, and Yuanzhang Sun, "Charging Demand Analysis Framework for Electric Vehicles Considering the Bounded Rationality Behavior of Users," International Journal of Electrical Power & Energy Systems, vol. 119, Jul. 2020.

[25] [AIR] Ding Wang, Mingming Ha, Junfei Qiao, Jun Yan, and Yingbo Xie, "Data-based Composite Control Design with Critic Intelligence for A Wastewater Treatment Platform," Artificial Intelligence Review, vol. 53, pp. 3773-3785, Jun. 2020.

[24] Leijiao Ge, Shuai Zhang, Xingzhen Bai, Jun Yan, Changli Shi, and Tongzhen Wei, “Optimal Capacity Allocation of Energy Storage System Considering Uncertainty of Load and Wind Generation,” Mathematical Problems in Engineering, vol. 512, pp. 1-11, Apr. 2020.

[23] [INS] Huidong Wang, Xiaohong Pan, Jun Yan, and Shifan He, "An Extended Regret Theory for Multi-Attribute Decision Making under Interval Type-2 Fuzzy Set Environment," Information Sciences, vol. 512, pp. 108-122, Feb. 2020.

[22] Xingzhen Bai, Liting Dong, Leijiao Ge, Hongxiang Xu, Jinchang Zhang, and Jun Yan, "Robust Localization of Mobile Robot in Industrial Environments With Non-Line-of-Sight Situation," IEEE Access, vol. 8, pp. 22537-22545, Jan. 2020.

[21] [TCYB] Lu Dong, Jun Yan, Xin Yuan, Haibo He, and Changyin Sun, "Functional Nonlinear Model Predictive Control Based on Adaptive Dynamic Programming," IEEE Transactions on Cybernetics, vol. 49, no. 12, pp. 4206-4218, Dec. 2019.

[20] [IJFS] Huidong Wang, Jinli Yao, Jun Yan, and Mingguang Dong, "An Extended TOPSIS Method Based on Gaussian Interval Type-2 Fuzzy Set," International Journal of Fuzzy Systems, vol. 21, no. 6, pp 1831–1843, Sep. 2019.

[19] [TIE] Guoqian Jiang, Ping Xie, Haibo He, and Jun Yan, "Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox," IEEE Transactions on Industrial Electronics, vol. 66, no. 4, pp. 3196-3207, Apr. 2019. 

[18] [TKDE] Sheng Li, Lusi Li, Jun Yan, and Haibo He, "SDE: A Novel Clustering Framework Based on Sparsity-Density Entropy," IEEE Transactions on Knowledge and Data Engineering, vol. 30, no. 8, pp. 1575-1587, 1 Aug. 2018. 

[17] [TMECH] Guoqian Jiang, Ping Xie, Haibo He, and Jun Yan, "Wind Turbine Fault Detection Using Denoising Autoencoder with Temporal Information," IEEE/ASME Transactions on Mechatronics, vol. 23, no. 1, pp. 89-100, Feb. 2018.

[16] Guoqing Weng, Feiteng Huang, Yufei Tang, Jun Yan, Yurong Nan, and Haibo He, "Fault-Tolerant Location of Transient Voltage Disturbance Source for DG Integrated Smart Grid," Electric Power Systems Research, vol. 144, pp. 13-22, Mar. 2017.

[15] [TIFS] Jun Yan, Haibo He, Xiangnan Zhong, and Yufei Tang, "Q-Learning-Based Vulnerability Analysis of Smart Grid against Sequential Topology Attacks," IEEE Transactions on Information Forensics and Security, vol. 12, no. 1, pp. 200-210, Jan. 2017.

[14] [IET-CPS] Haibo He and Jun Yan, "Cyber-Physical Attacks and Defenses in the Smart Grid: A Survey," IET Cyber-Physical Systems: Theory & Applications, vol.1, no.1, pp. 13-27, December 2016.

[13] Guoqing Weng, Feiteng Huang Jun Yan, Xiaodong Yang, Youbing Zhang, and Haibo He, "A Fault-Tolerant Location Approach for Transient Voltage Disturbance Source Based on Information Fusion," Energies, vol. 9, no. 12, pp. 1092-1124, Dec. 2016.

[12] Xinpu Wang, Jun Yang, Pei Liu, Wenqing Liu, Jun Yan, Yufei Tang, and Haibo He, "Online Calculation for the Optimal Reclosing Time of Transmission Lines," Electric Power Components And Systems, vol. 44, no. 17, pp. 1904-1916, Sep. 2016.

[11] [APEN] Lifu He, Jun Yang, Jun Yan, Yufei Tang, and Haibo He, "A Bi-layer Optimization Based Temporal and Spatial Scheduling for Large-scale Electric Vehicles," Applied Energy, vol. 168, pp. 179-192, Apr. 2016.

[10] Yufei Tang, Jun Yang, Jun Yan, and Haibo He, "Intelligent Load Frequency Controller Using GrADP for Island Smart Grid with Electric Vehicles and Renewable Resources," Neurocomputing, vol. 170, pp. 406-416, Dec. 2015.

[9] Jun Yang, Lingyun Gong, Yufei Tang, Jun Yan, Haibo He, Leiqi Zhang, and Gang Li, "An Improved SVM-based Cognitive Diagnosis Algorithm for Operation States of Distribution Grid," Cognitive Computation, vol.7, No. 5, pp. 582-593, Oct. 2015.

[8] Jun Yang, Xin Feng, Yufei Tang, Jun Yan, Haibo He, and Chao Luo, "A Power System Optimal Dispatch Strategy Considering the Flow of Carbon Emissions and Large Consumers," Energies, vol. 8, no. 9, pp.9087-9106, Aug. 2015.

[7] [TIFS] Yihai Zhu, Jun Yan, Yufei Tang, Yan L. Sun, and Haibo He, "Joint Substation-Transmission Line Vulnerability Assessment against the Smart Grid," IEEE Transactions on Information Forensics and Security, vol. 10, no. 5, pp. 1010-1024, May 2015.

[6] Jun Yang, Zhili Zeng, Yufei Tang, Jun Yan, Haibo He, and Yunliang Wu. "Load Frequency Control in Isolated Micro-grids with Electrical Vehicles Based on Multivariable Generalized Predictive Theory," Energies, vol. 8, no. 3, pp. 2145-2164, Mar. 2015.

[5] [TPS] Jun Yan, Yufei Tang, Haibo He, and Yan L. Sun, "Cascading Failure Analysis with DC Power Flow Model and Transient Stability Analysis," IEEE Transactions on Power Systems (TPS), vol. 30, no. 1, pp. 285-297, Jan. 2015.

[4] [TIFS] Yihai Zhu, Jun Yan, Yufei Tang, Yan L. Sun, and Haibo He, "Resilience Analysis of Power Grids under the Sequential Attack," IEEE Transactions on Information Forensics and Security, vol. 9, no. 12, pp. 2340-2354, Dec. 2014.
(CPS-VO's Science of Security Index of Significant Research in Cyber Security, No. 2, 2015)

[3] [TPDS] Yihai Zhu, Jun Yan, Yan L. Sun, and Haibo He, "Revealing Cascading Failure Vulnerability in Power Grids Using Risk-Graph," IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 12, pp. 3274-3284, Dec. 2014.

[2] [TIFS] Jun Yan, Haibo He, and Yan L. Sun, "Integrated Security Analysis on Cascading Failure in Complex Networks," IEEE Transactions on Information Forensics and Security (TIFS), vol. 9, no. 3, pp. 451-463, Mar. 2014.
(CPS-VO's Science of Security Index of Significant Research in Cyber Security, No. 2, 2015)

[1] [TIFS] Jun Yan, Yihai Zhu, Haibo He, and Yan L. Sun, "Multi-Contingency Cascading Analysis of Smart Grid Based on Self-Organizing Map," IEEE Transactions on Information Forensics and Security, vol. 8, no. 4, pp. 646-656, Apr. 2013.
(IEEE TIFS front-cover highlighted paper; IEEE ComSoc Best Readings on Communications and Information Systems Security - Cyber Attacks)

Conference Publications

[54] [WCCI/IJCNN] Yuanliang Li*, Hanzheng Dai*, and Jun Yan, "Knowledge-Informed Auto-Penetration Testing Based on Reinforcement Learning with Reward Machine," 2024 IEEE World Congress on Computational Intelligence/International Joint Conference on Neural Networks, Yokohama, Japan, Jun. 2024.

[53] [ICLR] Chengming Hu*, Haolun Wu, Xuan Li, Chen Ma, Xi Chen, Jun Yan, Boyu Wang, and Xue Liu, "Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation," 2024 International Conference on Learning Representations, Vienna, Austria, May 2024.

[52] [ICC] Yefei Zhang*, Jun Yan, Sadegh Torabi, and Chadi Assi, "Securing IoT Malware Classifiers: Dynamic Trigger-Based Attack and Mitigation," 2024 IEEE International Conference on Communications (ICC), Denver, CO, USA, June 2024

[51] [SmartGIFT] Jeremy Frandon, Jun Yan, Emmanuel Thepie-Fapi, "Development Pitfalls: A Case Study in Developing a Smart Grid Co-Simulation Platform Based on HELICS," 2023/24 EAI International Conference on Smart Grid and Innovative Frontiers in Telecommunications, Santa Clara, USA, Mar. 2024 (virtual).

[50] [SmartGIFT] Mohammad Pasha Shabanfar*, Yiheng Zhao*, and Jun Yan, "On IT and OT Cybersecurity Datasets for Machine Learning-based Intrusion Detection in Industrial Control Systems," 2023/24 EAI International Conference on Smart Grid and Innovative Frontiers in Telecommunications, Santa Clara, USA, Mar. 2024 (virtual).

[49] [SmartGridComm] Juanwei Chen*, Hang Du*, Jun Yan, Rawad Zgheib, and Mourad Debbabi, "A Data Integrity Attack Targeting VSC-HVDC-Connected Offshore Wind Farms," 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, Glasgow, Scotland, Oct. 2023 (hybrid).

[48] [BSCI] Ye Chen, Peilin Wu, Yuanliang Li*, Peng Zhang, Jun Yan, Mohsen Ghafouri, and Yuhong Liu, "A Blockchain-based Co-Simulation Platform for Transparent and Fair Energy Trading and Management," 2023 ACM International Symposium on Blockchain and Secure Critical Infrastructure (co-located in ASIA CCS '23), Melbourne, Australia, Jul. 2023.

[47] [IJCNN] Jianpeng Liao, Jun Yan, Qian Tao, "DualHGNN: A Dual Hypergraph Neural Network for Semi-Supervised Node Classification Based on Multi-View Learning and Density Awareness," 2023 International Joint Conference on Neural Networks, Queensland, Australia, Jun. 2023

[46] [PESGM] Yuanliang Li*, Luyang Hou, Jun Yan, Yuhong Liu, Mohsen Ghafouri, and Peng Zhang, "A Two-Stage Packetized Energy Trading and Management Framework for Virtual Power Plants," 2023 IEEE Power &Energy Society General Meeting, Orlando, FL, Jul. 2023.

[45] [ISGT-NA] Juanwei Chen*, Jun Yan, Hang Du*, Mourad Debbabi, Marthe Kassouf, "Vulnerability Analysis of Virtual Power Plant Voltage Support under Denial-of-Service Attacks," accepted by the 2023 North American Innovative Smart Grid Technologies Conference, Washington DC, USA, Jan. 2023.

[44] [SmartGridComm] Yuanliang Li*, Luyang Hou, Hang Du*, Jun Yan, Yuhong Liu, Mohsen Ghafouri, and Peng Zhang, "PEMT-CoSim: A Co-Simulation Platform for Packetized Energy Management and Trading in Distributed Energy Systems," 2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, Singapore, Oct. 2022 (hybrid).

[43] [SmartGridComm] Hang Du*, Jun Yan, Mohsen Ghafouri, Rawad Zgheib, and Mourad Debbabi, "Online Attack-aware Risk Management for PMSG-based Wind Farm Depending on System Strength Evaluation," 2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, Singapore, Oct. 2022 (hybrid).

[42] [WCCI/IJCNN] Yuanliang Li*, Jun Yan, and Mohamed Naili, "Deep Reinforcement Learning for Penetration Testing of Cyber-Physical Attacks in the Smart Grid," 2022 IEEE World Congress on Computational Intelligence/International Joint Conference on Neural Networks, Padua, Italy, Jul. 2022.

[41] [WCCI/IJCNN] Fanglei Sun, Qian Tao, Jun Yan, Jianqiao Hu, and Zongyuan Yang, "MRGAN: Multi-Criterion Relational GAN for Lyrics-Conditional Melody Generation," 2022 IEEE World Congress on Computational Intelligence/International Joint Conference on Neural Networks, Padua, Italy, Jul. 2022.

[40] [PESGM] Leijiao Ge, Hangxu Liu, Muhammad Umer Rafiq, Jun Yan, Yuanzheng Li, "Complex Affine Model of Line Loss for Distribution Network Considering Line Parameter Uncertainty," 2022 IEEE Power & Energy Society General Meeting, Denver, USA, Jul. 2022.

[39] [COBEE] Wenhang Du, Jiami Yang, Tianyu Chen*, Jinli Yao*, Jun Yan, Hua Ge, Nadia Bhuiyan, Fayi Zhou, Xiao Liu, and Yong Zeng, "Sustainable Policy Design - How Policy impacts Household Waste Management: A Case-study from Shanghai," 2022 International Conference on Building Energy and Environment, Montreal, Canada, Jul. 2022.

[38] [ICUAS] Shun Li*, Linhan Qiao, Youmin Zhang, and Jun Yan, "An Early Forest Fire Detection System Based On M300 Drone and H20T Camera," 2022 International Conference on Unmanned Aircraft System, Dubrovnik, Croatia, Jun. 2022.

[37] [MIM] Tianyu Chen*, Jiami Yang, Wenhang Du, Jinli Yao*, Jun Yan, Hua Ge, Nadia Bhuiyan, Fayi Zhou, Xiao Liu, Yong Zeng, "Data Quality Criteria for Urban Waste Management Policy-Making Using Environment-based Design," accepted by the 2022 IFAC Conference on Manufacturing Modelling, Management and Control, Nantes, France, Jun. 2022.

[36] [SmartGridComm] Hang Du*, Jun Yan, Mohsen Ghafouri, Rawad Zgheib, Marthe Kassouf, and Mourad Debbabi, "Modeling of Cyber Attacks Against Converter-Driven Stability of PMSG-Based Wind Farms with Intentional Subsynchronous Resonance," 2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Aachen, Germany, Oct. 2021 (hybrid).

[35] [SMC] Meng Zhang, Shan Fu, Jun Yan, Chenhao Ling, Chao Shen, and Peng Shi, "An XGBoost-Based Vulnerability Analysis of Smart Grid Cascading Failures under Topology Attacks," 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Melbourne, Australia, Oct. 2021 (virtual).

[34] [SDSC] Wenhang Du, Jiami Yang, Hua Ge, Jun Yan, Bhuiyan Nadia, Xiao Liu, Fayi Zhou, and Yong Zeng, "Environment-Based Design (EBD) Approach to Identify Critical Issues in Managing Municipal Solid Waste: Nairobi, Kenyan Case Study," 2021 International Conference on Smart Data and Smart Cities, Stuttgart, Germany, Sep. 2021 (hybrid).

[33] [PESGM] Leijiao Ge, Yuanliang Li, and Jun Yan, "Self-Adaptive Evaluation of Hybrid AC/DC Distribution Networks with Multi-Energy Complementary Systems," 2021 IEEE Power & Energy Society General Meeting, Jul. 2021 (virtual).

[32] [PESGM] Chengming Hu*, Jun Yan, and Xue (Steve) Liu, "Adaptive Feature Boosting of Multi-Sourced Deep Autoencoders for Smart Grid Intrusion Detection," 2020 IEEE Power & Energy Society General Meeting, Montreal, QC, Canada, Aug. 2020 (virtual).

[31] [PESGM] Pengyi Liao*, Yong Chang, and Jun Yan, "Electrochemical Method on the Optimum Cathodic Protection Potential of Grounding Grid in High Resistivity Soil," 2020 IEEE Power & Energy Society General Meeting, Montreal, QC, Canada, Aug. 2020 (virtual).

[30] [PESGM] Leijiao Ge, Yiming Xian, Jun Yan, Yao Wang, Yuanliang Li, and Dong Liang, "A FA-GWO-GRNN Method for Short-Term Photovoltaic Output Prediction," 2020 IEEE Power & Energy Society General Meeting, Montreal, QC, Canada, Aug. 2020 (virtual).

[29] [PESGM] Shuai Zhang, Xingzhen Bai, Leijiao Ge, and Jun Yan, "Optimal Configuration of Energy Storage System Considering Uncertainty of Load and Wind Generation," 2020 IEEE Power & Energy Society General Meeting, Montreal, QC, Canada, Aug. 2020 (virtual).

[28] [WCCI/CEC] Moshfeka Rahman*, Yuanliang Li*, and Jun Yan, "Multi-Objective Evolutionary Optimization for Worst-Case Analysis of False Data Injection Attacks in the Smart Grid," 2020 IEEE World Congress on Computational Intelligence/Congress on Evolutionary Computation, Glasgow, Scotland, Jul. 2020 (virtual).

[27] [WCCI/IJCNN] Yongxuan Zhang* and Jun Yan, "Semi-Supervised Domain-Adversarial Training for Intrusion Detection against False Data Injection in the Smart Grid," 2020 IEEE World Congress on Computational Intelligence/International Joint Conference on Neural Networks, Glasgow, Scotland, Jul. 2020 (virtual).

[26] [WCCI/IJCNN] Luyang Hou*, Shuai Ma, Jun Yan, Chun Wang and Jia Yuan Yu, "Reinforcement Mechanism Design for Electric Vehicle Demand Response in Microgrid Charging Stations," 2020 IEEE World Congress on Computational Intelligence/International Joint Conference on Neural Networks, Glasgow, Scotland, Jul. 2020 (virtual).

[25] [ICC] William Lardier*, Quentin Varo*, and Jun Yan, "Dynamic Reduced-Round Cryptography for Energy-Efficient Wireless Communication of Smart IoT Devices," 2020 IEEE International Conference on Communications, Dublin, Ireland, Jun. 2020 (virtual).

[24] [GLOBECOM] Moshfeka Rahman* and Jun Yan, "Finding the Worse Case: Undetectable False Data Injection with Minimized Knowledge and Resource," 2019 IEEE Global Communications Conference (GLOBECOM), Hawaii, HI, USA, Dec. 2019.

[23] [EPEC] Chengming Hu*, Jun Yan, and Chun Wang, "Robust Feature Extraction and Ensemble Classification Against Cyber-Physical Attacks in the Smart Grid," 2019 IEEE Canada Electrical Power and Energy Conference (EPEC), Montreal, QC, Canada, Oct. 2019.

[22] [SmartGridComm] Yongxuan Zhang* and Jun Yan, "Domain-Adversarial Transfer Learning for Robust Intrusion Detection in the Smart Grid," 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, Beijing, China, Oct. 2019.

[21] [SmartGridComm] William Lardier*, Quentin Varo* and Jun Yan, "Quantum-Sim: An Open-Source Co-Simulation Platform for Quantum Key Distribution-Based Smart Grid Communications," 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, Beijing, China, Oct. 2019.

[20] [SmartGridComm] Ekram Kabir, Chadi Assi, Hyame Alameddine, Joseph Antoun, and Jun Yan, "Demand Aware Deployment and Expansion Method for an Electric Vehicles Fast Charging Network," 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Beijing, China, Oct. 2019.

[19] [PESGM] Chengming Hu*, Jun Yan, and Chun Wang, "Advanced Cyber-Physical Attack Classification with Extreme Gradient Boosting for Smart Transmission Grids," 2019 IEEE Power & Energy Society General Meeting, Atlanta, GA, USA, Aug. 2019.

[18] [CCC] Zhenxing Li*, Jun Yan, Wenwu Yu, and Jianlong Qiu, "Adaptive Event-Triggered Consensus Control for A Class of Unknown Second-Order Nonlinear Multi-Agent Systems," 2019 Chinese Control Conference (CCC), Guangzhou, China, Jul. 2019.

[17] [CSCWD] Luyang Hou*, Jun Yan, and Chun Wang, "Accommodating More Users in Highway Electric Vehicle Charging through Coordinated Booking: A Market-Based Approach," 2019 IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD), Porto, Portugal, May 2019.

[16] [PESGM] David Wilson, Jun Yan, Yufei Tang, and Zhuo Lu, "Deep Learning-Aided Cyber-Attack Detection in Power Transmission Systems," 2018 IEEE Power & Energy Society General Meeting, Portland, OR, USA, Aug. 2018. 

[15] [PESGM] Chao Luo, Jun Yang, Yuanzhang Sun, Jun Yan, and Haibo He, "Identify Critical Branches with Cascading Failure Chain Statistics and Hypertext-Induced Topic Search Algorithm," 2017 IEEE Power & Energy Society General Meeting, Chicago, IL, USA, Jul. 2017.

[14] [CNS] Bo Tang, Jun Yan, Steven Kay and Haibo He, "Detection of False Data Injection Attacks in Smart Grid under Colored Gaussian Noise," 2016 IEEE Conference on Communications and Network Security, Philadelphia, PA, USA, Oct. 2016.

[13] [WCCI/IJCNN] Jun Yan, Bo Tang and Haibo He, "Detection of False Data Attacks in Smart Grid with Supervised Learning," 2016 IEEE World Congress on Computational Intelligence/International Joint Conference on Neural Networks, Vancouver, BC, Canada, Jul. 2016. (Best Student Paper Award)

[12] [PESGM] Jun Yan, Yufei Tang, Bo Tang, Haibo He, and Yan L. Sun, "Power Grid Resilience against False Data Injection Attacks,"2016 IEEE Power & Energy Society General Meeting, Boston, MA, USA, Jul. 2016.

[11] [GLOBECOM] Jun Yan, Yufei Tang, Yihai Zhu, Haibo He, and Yan L. Sun, "Smart Grid Vulnerability under Cascade-Based Sequential Line-Switching Attacks," 2015 IEEE Global Communications Conference, San Diego, CA, USA, Dec. 2015.

[10] [NAPS] Chao Luo, Jun Yang, Yuanzhang Sun, Jun Yan, Haibo He, and Mingsong Liu, "A Cascading Failure Simulation Model considering Frequency Dynamics and Power Flow Distribution," 2015 North American Power Symposium (NAPS), Charlotte, NC, USA, Oct. 2015.

[9] [ICPP] Jason Kane, Bo Tang, Zhen Chen, Jun Yan, Tao Wei, Haibo He, and Qing Yang, "Reflex-Tree: A Biologically Inspired Parallel Architecture for Future Smart Cities," 2015 International Conference on Parallel Processing (ICPP), Beijing, China, Sep. 2015.

[8] [ISGT] Yihai Zhu, Jun Yan, Yufei Tang, Yan L. Sun, and Haibo He, "Diversity of Cascading Failure Processes in Electrical Grids," 2015 IEEE Power & Energy Society (PES) Conference on Innovative Smart Grid Technologies Conference (ISGT), Washington, DC, USA, Feb. 2015.

[7] [GLOBECOM] Yihai Zhu, Jun Yan, Yufei Tang, Yan L. Sun and Haibo He, "Coordinated Attacks against Substations and Transmission Lines in Power Grids," 2014 IEEE Global Communications Conference, Austin, TX, USA, Dec. 2014.

[6] [SSCI/CIASG] Yufei Tang, Xiangnan Zhong, Zhen Ni, Jun Yan, and Haibo He, "Impact of Signal Transmission Delays on Power System Damping Control Using Heuristic Dynamic Programming," 2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG), Orlando, FL, USA, Dec. 2014, pp. 1-7.

[5] [WCCI/IJCNN] Yufei Tang, Jun Yang, Jun Yan, Zhili Zeng, and Haibo He, "Frequency Control using Online Learning Method for Island Smart Grid with EVs and PVs," 2014 IEEE World Congress on Computational Intelligence/International Joint Conference on Neural Networks, Beijing, China, Jul. 2014.

[4] [ICC] Yihai Zhu, Jun Yan, Yufei Tang, Yan L. Sun, and Haibo He, "The Sequential Attack against Power Grid Networks," 2014 IEEE International Conference on Communications (ICC), Sydney, NSW, Australia, Jun. 2014. (Best Paper Award & CPS-VO's Science of Security Index of Significant Research in Cyber Security, No. 2, 2015)

[3] [ISGT] Jun Yan, Yihai Zhu, Haibo He, and Yan L. Sun, "Revealing Temporal Features of Attacks against Smart Grid," 2013 IEEE Power & Energy Society Conference on Innovative Smart Grid Technologies Conference (ISGT), Washington, DC, USA, Feb. 2013.

[2] [ISGT] Yihai Zhu, Jun Yan, Yan L. Sun, and Haibo He, "Risk-aware Vulnerability Analysis of Electric Grids from Attacker's Perspective," 2013 IEEE Power & Energy Society (PES) Conference on Innovative Smart Grid Technologies Conference (ISGT), Washington, DC, USA, Feb. 2013.

[1] [ICICIP] Jun Yan, Yida Yang, Wenkai Wang, Haibo He, and Yan L. Sun, "An Integrated Visualization Approach for Smart Grid Attacks," 2012 International Conference on Intelligent Control and Information Processing (ICICIP), Dalian, China, Jul. 2012.

Book Chapters

[1] Luyang Hou, Chun Wang and Jun Yan, "Electric Vehicle Charging Scheduling in Green Logistics: Challenges, Approaches and Opportunities," in Sustainable City Logistics Planning: Methods and Applications - vol.1, ed. Anjali Awasthi, Katarzyna Grzybowska, Nova Publisher.