His research interests include computer vision, computer graphics, and machine learning with a focus on visual analysis and synthesis with physically grounded constraints. His research received the best student paper award in IAPR International Conference on Pattern Recognition (ICPR) in 2012 for the work on computational modeling of visual saliency and the best paper award in the ACM Symposium on Eye Tracking Research & Applications (ETRA) in 2014 for work on learning-based eye gaze tracking. Huang is the recipient of the UIUC Graduate College Dissertation Completion Fellowship, Thomas and Margaret Huang Award for Graduate Research, Beckman Cognitive Science/Artificial Intelligence Award, Sundaram Seshu Fellowship, and the PURE Best Research Mentor Award. He is a member of the IEEE, IEEE Computer Society, and ACM SIGGRAPH.