معرفی
Dr. Yongkai Wu is an Assistant Professor in the Department of Electrical and Computer Engineering at Clemson University, where he focuses on advancing Responsible AI, Causal Inference, and Machine Learning. His research addresses fairness, trustworthiness, and transparency in AI systems through causal modeling and has been published in top-tier venues like AAAI, NeurIPS, and KDD.
- Education: Ph.D. in Computer Science (2020) and M.S. in Computer Science (2018) from the University of Arkansas; B.Eng. in Electronic Engineering (2014) from Tsinghua University.
Dr. Wu’s research spans Responsible AI and Causal Inference, with applications in healthcare, computer vision, and cybersecurity. He explores Causal Fairness in non-IID settings, Responsible LLMs, and Robust Learning via hyperspectral data. His work integrates ethics into AI/ML systems, ensuring equitable outcomes in dynamic environments.
His recent articles highlight trends in Fairness through causal inference, Explainable AI in healthcare, and Efficient LLMs. Collaborations with institutions like the University of Maryland and Prisma Health underscore real-world impact.
- Scientific Awards: Best Paper Award (SIGKDD'25), travel awards from SBP-BRiMS, IJCAI, KDD, and NeurIPS.
Dr. Wu’s grants include NSF, SC EPSCoR, Prisma Health, and United States Army CCDC funding for projects on Responsible AI in Healthcare, Hyperspectral AI, and Robust Learning. He mentors students through summer programs and directed research, emphasizing hands-on experience with Python, PyTorch, and ethical AI frameworks.
