Jie Yang

Jie Yang serves as an Assistant Professor in the Web Information Systems group at TU Delft, where he co-leads the Kappa research line on Crowd Computing and Human-Centered AI and manages the GENIUS lab focusing on Generative AI development. His academic journey includes a PhD from TU Delft (2017), an MSc from TU Eindhoven (2013), and a BEng from Zhejiang University (2011), followed by industry experience as a Machine Learning Scientist at Amazon's Alexa Shopping and a Senior Researcher at the University of Fribourg's eXascale Infolab. His research centers on human-in-the-loop approaches for trustworthy machine learning, developing methods and tools that involve stakeholders throughout the ML lifecycle. His work has garnered significant recognition, with notable publications on unknown unknowns characterization in image recognition, diverse knowledge elicitation through gaming, explainability methods for bug identification in computer vision models, and neuro-symbolic systems for label noise reduction. As co-director of the TU Delft AI Lab Design@Scale, he focuses on transforming machine learning into an engineering discipline that ensures human control over AI systems. His expertise spans human-centered AI, crowd computing, natural language processing, and information retrieval, with particular emphasis on developing approaches that align AI systems with human values and needs. Through his research and leadership, Yang contributes to making AI systems more reliable, transparent, and effectively integrated into various real-world contexts.