💻 About Me

Kai Wang received the B.S. and Ph.D. degrees from Beijing Jiaotong University. He is currently a full Professor with the School of Computer Science and Technology, Harbin Institute of Technology (HIT), Weihai. Before joining HIT, he was a postdoc researcher in computer science and technology with Tsinghua University. He has published more than 50 papers in prestigious international journals, including IEEE TITS, IEEE TCE, ACM TOIT, ACM TIST, etc. His current research interest is on intrusion detection technology on sophisticated and concealed cyberattacks (e.g., Advanced Persistent Threats), and trustworthy machine learning. He is a Senior Member of the China Computer Federation (CCF).

📖 Publications (Since joining HIT)

Preprints on arXiv

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*

Paper | Code

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

Paper | Code

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

Paper | Code

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

Paper | Code

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

Paper | Code

2025

Anomaly Detection via Semantically Conjugate View Learning on Industrial Temporal Data

IEEE Internet of Things Journal, 2025, DOI: 10.1109/JIOT.2025.3527694

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

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

Paper | Code

2024

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