Data Science and Artificial Intelligence
Current research areas include deep learning, active learning, reinforcement learning, statistical learning theory, adversarial learning, privacy-preserving learning, learning algorithms, convex and nonconvex optimization, computational social science, text-in-the-wild computer vision, computational symmetry, human perception of regularity, multisensor data fusion for smart health, urban scene analysis, multitarget tracking, sports analytics, crowd behavior analysis, semantic analysis of summaries and essays, educational applications of NLP, question answering in interactive applications, automated summarization and summarization evaluation, dialog system strategy, and discourse structure.
Primary Faculty
- Bob Collins
- Daniel Kifer
- Wang-Chien Lee
- Yanxi Liu
- Mehrdad Mahdavi
- David Miller
- Rebecca Passoneau
- Ying Sun
- Abhinav Verma
- Huijuan Xu
- Wenpeng Yin
- Rui Zhang
Affiliate Faculty
