Yu Liang

Yu Liang is a University Researcher at the Human Technology Interaction department within the Industrial Engineering and Innovation Sciences school at Eindhoven University of Technology. Their work focuses on interdisciplinary research at the intersection of artificial intelligence and human-computer interaction.

• Doctorate in Human Technology Interaction (2023)
• Master of Computer Science from Delft University of Technology (2017)

Research spans recommender systems, explainable AI, and exploratory behavior, with specific applications to music genre analysis, user preference modeling, and interactive visualization. Their recent work examines how personalized nudging affects long-term user exploration in music platforms.

Publications show a focus on machine learning integration with human factors, emphasizing representativeness and user-centered AI across conferences like IUI and RecSys. Key collaborations include partnerships with Willemsen, M.C. and van Wijk, J.J..

• Doctor of Human Technology Interaction (2023)
• Master of Computer Science (2017)

Research outputs have been cited 116 times, with 201+ downloads from the Pure repository, indicating significant academic impact. Their work often addresses interactive visualization for AI transparency and personalized recommendation frameworks.