Biography

I am a second-year Ph.D. Student at IIP-DSA program, The Hong Kong University of Science and Technology (HKUST), supervised by Prof. Wei WANG and Prof. Minhao CHENG.

My current research interests include adversarial machine learning, knowledge distillation, and AIGC.

Education Background

Ph.D. DSA, 2022.02 - present
The Hong Kong University of Science and Technology (Guangzhou)

• Supervisors: Prof. Wei Wang & Prof. Minhao Cheng
• Research interests: Adversarial machine learning

MEng CS, 2017.09 – 2020.06
Shenzhen University

• Supervisors: Prof. Yi Wang & Prof. Feng Liu

BSci Biotechnology, 2013.09 - 2017.07
University of Electronic Science and Technology of China

Publications

• Bo Huang, Mingyang Chen, Yi Wang, Junda Lu, Minhao Cheng, Wei Wang. Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation. (CVPR’2023)
• Yongxin Jing, Hongchen Chu, Bo Huang, Jie Luo, Wei Wang, Yun Lai. A deep neural network for general scattering matrix. (Nanophotonics, 2023)
• Bo Huang, Zhiwei Ke, Yi Wang, Wei Wang, Linlin Shen, Feng Liu. Adversarial Defense by Diversified Simultaneous Training of Deep Ensembles. (AAAI’2021)
• Bo Huang, Yi Wang, and Wei Wang. Model-Agnostic Adversarial Detection by Random Perturbations. (IJCAI’2019)
• Yi Wang and Bo Huang, Adversarial example detection method and apparatus, computing device, and non-volatile computer-readable storage medium, United States Patent，2020.07.27, Patent No. 10936973.

Teaching

• [Fall 2022] Teaching Assistant in FUNH 5100: Introduction to Material Informatics

Awards

• Outstanding Graduate

Professional Skills

• English: IELTS 7.0, CET-6;
• Programming Language: Python, Matlab, C, HTML;
• OS&Platform: Windows, Linux, Docker;