Ph.D. in Computer Science

University of Liverpool, UK

Master of Research in Computer Science

University of Liverpool, UK

B.S. in Mechanical Design and Manufacture and Automation

Harbin University of Science and Technology, China

• CPS 1231 Foundation of Computer Science
• CPS 2231 Computer Programming
• CPS 3320 Python Programming

Dr. Zhiqiang Gao commenced his role as an assistant professor in the Department of Computer Science at Wenzhou Kean University in August 2024. Prior to this appointment, he garnered valuable experience as a research assistant at institutions including Kunshan Duke University, Xi'an Jiaotong Liverpool University, and the Fujitsu Research and Development Center. Dr. Gao's research is centered on a pivotal issue in Machine Learning: the robustness of deep neural networks against distribution shifts. His studies aim to enable models to generalize well on datasets that present obvious distribution shifts, such as data sampled from different domains or data corrupted with adversarial perturbations and common corruptions. Dr. Gao has made scholarly contributions, with multiple first and corresponding author publications in top-tier international conferences, including the Computer Vision And Pattern Recognition (CVPR) in 2025, International Conference on Computer Vision (ICCV) in 2023 and 2021, and the ACM Multimedia (ACM MM) in 2022. Before embarking on his research career, Dr. Gao worked as manager and engineer at globally recognized manufacturing companies like Delta Electronics Co., Ltd. and Shantui Construction Machinery Co., Ltd. His robust theoretical and empirical expertise underpins his ability to tackle research and engineering challenges.

Trustworthy Machine Learning, Computer Vision, Muti-modal Large Language Mode

Kunpeng Qiu, Zhiqiang Gao*, Zhiying Zhou, Mingjie Sun*, Yongxin Guo*, "Noise-Consistent Siamese-Diffusion for Medical Image Synthesis and Segmentation." Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR). 2025. [CCF-A, Top-tier conference in computer vision]

Zhihao Dou†, Zhiqing Gao†, Hangchi Shen, Kaizhu Huang, Ziling Yuan, "Certifying Better Robust Generalization with Diverging Spanned Latent Space", Transactions on Machine Learning Research (TMLR). 2024.

Zhiqiang Gao, Kaizhu Huang, Rui Zhang, Dawei Liu, Jieming Ma, "Towards Robustness against Common Corruption for Unsupervised Domain Adaptation", International Conference on Computer Vision (ICCV). 2023. [CCF-A, Top-tier conference in computer vision]

Zhiqiang Gao, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Chaoliang Zhong, "Certifying Better Robust Generalization for Unsupervised Domain Adaptation", ACM Multimedia (ACM MM). 2022. [CCF-A, Top-tier conference in multimedia]

Zhiqiang Gao, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Chaoliang Zhong, "Gradient Distribution Alignment Certificates Better Adversarial Domain Adaptation", International Conference on Computer Vision (ICCV). 2021. [CCF-A, Top-tier conference in computer vision]

Zhiqiang Gao, Dawei Liu, Yi Huang, “Mining human activity and smartphone position from motion sensors”, IUI '19: Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion. [CCF-B]

Zhiqiang Gao, Dawei Liu, Kaizhu Huang, Yi Huang, "Context-Aware Human Activity and Smartphone Position-Mining with Motion Sensors", Remote Sensing, 2019.