| Association between resting-state coactivation in the parieto-frontal network and intelligence during late childhood and adolescence C Li, L Tian American Journal of Neuroradiology 35 (6), 1150-1156, 2014 | 32 | 2014 |
| Fair meta-learning for few-shot classification C Zhao, C Li, J Li, F Chen 2020 IEEE International Conference on Knowledge Graph (ICKG), 275-282, 2020 | 25 | 2020 |
| A Nested Bi-level Optimization Framework for Robust Few Shot Learning K Killamsetty, C Li (co-first-author), C Zhao, F Chen, R Iyer Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2022) 36 …, 2022 | 17* | 2022 |
| Inferring private demographics of new users in recommender systems M Sun, C Li, H Zha Proceedings of the 20th ACM International Conference on Modelling, Analysis …, 2017 | 12 | 2017 |
| Vibration based bridge scour evaluation: A data-driven method using support vector machines Z Zhang, C Sun, C Li, M Sun Structural monitoring and maintenance 6 (2), 125-145, 2019 | 11 | 2019 |
| PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information C Li, S Kothawade, F Chen, R Iyer Thirty-ninth International Conference on Machine Learning (ICML 2022), 2022 | 5 | 2022 |
| Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty C Li, K Li, Y Ou, LM Kaplan, A Jøsang, JH Cho, DH Jeong, F Chen International Conference on Learning Representations (ICLR 2024), https …, 2024 | | 2024 |
| A Study on User Demographic Inference Via Ratings in Recommender Systems C Li Louisiana State University and Agricultural & Mechanical College, 2017 | | 2017 |
Feng ChenDepartment of Computer Science, UT DallasVerified email at utdallas.edu
