Kun He

Kun He is a prominent academic figure at Huazhong University of Science and Technology, where they contribute to the Computer Science through intensive research in Adversarial Robustness, Machine Learning, Blockchain Consensus, Network Security, Optimization Problems, Complex Networks, Privacy-Preserving Authentication, Computer Vision. A representative example of their recent contribution is the study titled "Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack", which offers critical insights into the dynamics of Adversarial Robustness and Machine Learning. Additional work such as "Research on instability of HVDC system considering converter transformer saturation" further demonstrates their commitment to advancing knowledge in this domain.