💻 About Me
Kai Wang is a full Professor with School of Computer Science and Technology (Weihai 264209) and with Faculty of Computing (Harbin 150001), Harbin Institute of Technology, China. He received the B.S. and Ph.D. degree from the National Engineering Research Center of Advanced Network Technologies led by Prof. Hongke Zhang (Academician of the Chinese Academy of Engineering, IEEE Fellow), Beijing Jiaotong University, in 2009 and 2014, respectively. From 2017 to 2019, he was a postdoc researcher in Tsinghua University, China. His research interests include trustworthy AI and network intrusion detection. He has published more than 40 papers in prestigious international journals, including IEEE TSC, IEEE TITS, ACM TOIT, ACM TIST, etc.
📖 Publications since joining HIT ( * corresponding author)
2025
STATGRAPH: Effective In-vehicle Intrusion Detection via Multi-view Statistical Graph Learning
arXiv:2311.07056v2, Mar. 2025
Kai Wang*, Qiguang Jiang, Bailing Wang, Yulei Wu, Hongke Zhang
ATHENA: An In-vehicle CAN Intrusion Detection Framework Based on Physical Characteristics of Vehicle Systems
arXiv:2503.17067, Mar. 2025
Kai Wang*, Zhen Sun, Bailing Wang, Qilin Fan, Ming Li, Hongke Zhang
TFLAG: Towards Practical APT Detection via Deviation-Aware Learning on Temporal Provenance Graph
arXiv:2501.06997, Jan. 2025
Wenhan Jiang, Tingting Chai, Hongri Liu, Kai Wang*, Hongke Zhang
Optimizing Consistency in Distributed Data Services: The CP-Raft Protocol for High-Performance and Fault-Tolerant Replication
IEEE Transactions on Services Computing, 2025, DOI: 10.1109/TSC.2025.3577505
Haiwen Du, Kai Wang*, Yulei Wu, Hongke Zhang
Paper | Code
Graph Optimization via Decoupled Edge Tuning for Efficient Industrial Anomaly Detection
IEEE Transactions on Network Science and Engineering, 2025, DOI: 10.1109/TNSE.2025.3567671
Kai Wang, Shuaiyi L(y)u*, Yang Liu, Bailing Wang*
Paper | Code
Anomaly Detection via Semantically Conjugate View Learning on Industrial Temporal Data
IEEE Internet of Things Journal, vol. 70, no. 1, pp. 4120-4131, June 2025
Kai Wang, Shuaiyi L(y)u*, Bailing Wang*, Yongzheng Zhang
Paper | Code
KDRSFL: A knowledge distillation resistance transfer framework for defending model inversion attacks in split federated learning
Future Generation Computer Systems, vol. 166, Article 107637, pp. 1-10, May. 2025
Renlong Chen, Hui Xia*, Kai Wang*, Shuo Xu, Rui Zhang
Paper | Code
DRL-Based Time-Varying Workload Scheduling With Priority and Resource Awareness
IEEE Transactions on Network and Service Management, vol. 22, no. 3, pp. 2838-2852, 2025, DOI: 10.1109/TNSM.2025.3559610
Qifeng Liu, Qilin Fan, Xu Zhang, Xiuhua Li, Kai Wang, Qingyu Xiong
Paper | Code
KERMIT: Knowledge graph completion of enhanced relation modeling with inverse transformation
Knowledge-Based Systems, Article 113500, 2025, DOI: https://doi.org/10.1016/j.knosys.2025.113500
Haotian Li, Bin Yu, Yuliang Wei, Kai Wang, Richard Yi Da Xu, Bailing Wang*
An original model for multi-target learning of logical rules for knowledge graph reasoning
Applied Intelligence, vol. 55, no. 138, pp. 1-19, 2025
Haotian Li, Bailing Wang, Kai Wang, Rui Zhang, Yuliang Wei*
Advancing CAN Network Security through RBM-Based Synthetic Attack Data Generation for Intrusion Detection Systems
arXiv:2503.21496, Mar. 2025
Huacheng Li, Jingyong Su, Kai Wang*
2024
LiPar: A Lightweight Parallel Learning Model for Practical In-Vehicle Network Intrusion Detection
arXiv:2311.08000v2, Dec. 2024
Aiheng Zhang, Qiguang Jiang, Kai Wang*, Ming Li
Computation Cost-driven Offloading Strategy based on Reinforcement Learning for Consumer Devices
IEEE Transactions on Consumer Electronics, vol. 70, no. 1, pp. 4120-4131, Feb. 2024
Rui Zhang, Hui Xia*, Zijun Chen, Zi Kang, Kai Wang*, Wei Gao*
Paper | Code
Multi-agent DRL for edge computing: A real-time proportional compute offloading
Computer Networks, vol. 252, Article 110665, pp. 1-13, Oct. 2024
Kunkun Jia, Hui Xia*, Rui Zhang, Yue Sun, Kai Wang
Paper | Code
2023
Analysis of Recent Deep Learning-based Intrusion Detection Methods for In-Vehicle Network
IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 2, pp. 1843-1854, Feb. 2023
Kai Wang, Aiheng Zhang, Haoran Sun, Bailing Wang*
Paper | Code
GNN-based Advanced Feature Integration for ICS Anomaly Detection
ACM Transactions on Intelligent Systems and Technology, vol. 14, no. 6, Article 106, pp. 1-32, Nov. 2023
Shuaiyi Lyu(Lu), Kai Wang*, Yuliang Wei, Hongri Liu, Qilin Fan, Bailing Wang*
Paper | Code
Process-Oriented Heterogeneous Graph Learning in GNN-Based ICS Anomalous Pattern Recognition
Pattern Recognition, vol. 141, Article 109661, Sept. 2023
Shuaiyi L(y)u, Kai Wang*, Liren Zhang, Bailing Wang*
Paper | Code
2022
Global-Local Integration for GNN-based Anomalous Device State Detection in Industrial Control Systems
Expert Systems with Applications, vol. 209, Article 118345, Dec. 2022
Shuaiyi L(y)u, Kai Wang, Liren Zhang, Bailing Wang*
Paper | Code
2021
PA-Cache: Evolving Learning-Based Popularity-Aware Content Caching in Edge Networks
IEEE Transactions on Network and Service Management, vol. 18, no. 2, pp. 1746-1757, Jun. 2021
Qilin Fan, Xiuhua Li*, Jian Li, Qiang He, Kai Wang, Junhao Wen
Paper | Code
2020
Analyzing NDN NACK on Interest Flooding Attack via SIS Epidemic Model
IEEE Systems Journal, vol. 14, no. 2, pp. 1862-1873, Jun. 2020
Kai Wang, Dongchao Guo*, Wei Quan
Paper | Code
InterestFence: Simple but Efficient Way to Counter Interest Flooding Attack
Computers & Security, vol. 88, Article 101628, Jan. 2020
Jiaqing Dong, Kai Wang*, Wei Quan, Hao Yin
Paper | Code
2019
Betweenness Centrality Based Software Defined Routing: Observation from Practical Internet Datasets
ACM Transactions on Internet Technology, vol. 19, no. 4, Article 50, Nov. 2019
Kai Wang, Wei Quan*, Nan Cheng, Mingyuan Liu, Yu Liu, H. Anthony Chan
Paper | Code
Graph Structure and Statistical Properties of Ethereum Transaction Relationships
Information Sciences, vol. 492, pp. 58-71, Aug. 2019
Dongchao Guo, Jiaqing Dong, Kai Wang*
Paper | Code