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个人简介
Dongxiao Zhu is currently a Professor at Department of Computer Science, Wayne State University. He received his Ph.D. from University of Michigan (2006). Dongxiao Zhu's recent research interests are in Trustworthy AI and Applications in health, urban, and social computing with emphasis on adversarial robustness, explainability and fairness. Dr. Zhu is the Founding Director of Wayne AI Research Initiative, Director of Trustworthy AI Lab, and Directors of Computer Science Graduate Program and Master Program in AI (Algorithms and Systems Track) at Wayne State University. He has published over 100 peer-reviewed publications and served on program committees (Senior PC or PC) of flagship AI conferences (NuerIPS, ICML, ICLR, CVPR, AAAI, IJCAI, ACL, EMNLP, AMIA, MICCAI) and of premier biomedical informatics journals (Bioinformatics, Nucleic Acids Research, TCBB, Scientific Reports, BMC Genomics, and Frontiers in Genetics). Dr. Zhu's research has been supported by NIH, NSF and private agencies. Dr. Zhu's teaching interest lies in programming language, data structures and algorithms, machine learning and data science.
In addition to foundational AI research, Dr. Zhu develops use-inspired AI algorithms for promoting research in life, physical and social science domains. He is passionate about leveraging AI for social good. And he develops robust, fair and explainable AI algorithms and efficient systems to optimize public service delivery via learning geo-social features from geo-tagged big data, in efforts to achieve the sustainable development goals such as zero hunger, better cyber-social behaviors, good health and well-being, and reduced inequalities in socially vulnerable regions/groups.
In addition to foundational AI research, Dr. Zhu develops use-inspired AI algorithms for promoting research in life, physical and social science domains. He is passionate about leveraging AI for social good. And he develops robust, fair and explainable AI algorithms and efficient systems to optimize public service delivery via learning geo-social features from geo-tagged big data, in efforts to achieve the sustainable development goals such as zero hunger, better cyber-social behaviors, good health and well-being, and reduced inequalities in socially vulnerable regions/groups.
研究兴趣
论文共 155 篇作者统计合作学者相似作者
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CoRR (2024)
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PEDIATRIC RESEARCHno. 2 (2023): 316-323
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Wenqi Zheng, Emma Walquist,Isha Datey, Xiangyu Zhou, Kelly Berishaj,Melissa McDonald,Michele Parkhill,Dongxiao Zhu,Douglas Zytko
CoRR (2023)
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Hong Qin, Jude Kong, Wandi Ding, Ramneek Ahluwalia,Christo El Morr, Zeynep Engin,Jake Okechukwu Effoduh, Rebecca Hwa, Serena Jingchuan Guo,Laleh Seyyed-Kalantari, Sylvia Kiwuwa Muyingo,Candace Makeda Moore,
CoRR (2023)
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CoRR (2023)
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JOURNAL OF BIOPHOTONICSno. 11 (2023)
Cancerno. 15 (2023): 2284-2289
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