As leader of the Explainable AI and Knowledge Discovery (XAIKD) group at HKUST(GZ), our mission is to advance interpretable AI (XAI) methodologies that extend the frontiers of human knowledge. We focus on developing transparent AI solutions that extract actionable insights from complex datasets, revealing knowledge often overlooked by traditional approaches and empowering interdisciplinary research driven by AI innovation.
PhD Students
Weiyu Guo (2022), Master from University of Chinese Academy of Sciences
He Zhang (2022), Undergraduate from Tsinghua University
Kevin Zhang (2022), Undergraduate from Berklee College of Music
Fuling Wang (2022), Master from Arizona State University
Yang Ji (2023), Mphil from Hong Kong Baptist University
Zheng Gong (2024), Master from University of Science and Technology of China
Yuanxin Zhuang (2023), Master from Beijing University Of Posts and Telecommunications
Zhigaoyuan Wang (2023), Undergraduate from Beijing University Of Posts and Telecommunications
Haoran Xin (2023), Master from University of Science and Technology of China
Jin Li (2023), Master from University of Science and Technology of China
Yuting Zhang (2024), Master from University of Chinese Academy of Sciences
Shuting Cui (2024), Undergraduate from Nankai University
Research Assistants
Yanke Yu
Yaming Guo
Lujundong Li
MPhil Students
Hanrui Jiang (2022)
Zihan Zhou (2023)
Xiaohui Huo (2024)
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