| Online continual learning in image classification: An empirical survey Z Mai, R Li, J Jeong, D Quispe, H Kim, S Sanner Neurocomputing 469, 28-51, 2022 | 444 | 2022 |
| Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning Z Mai, R Li, H Kim, S Sanner Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 195 | 2021 |
| TransCAM: Transformer Attention-based CAM Refinement for Weakly Supervised Semantic Segmentation R Li, Z Mai, Z Zhang, J Jang, S Sanner Journal of Visual Communication and Image Representation 92, 103800, 2023 | 60 | 2023 |
| Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation T Chen, Z Mai, R Li, W Chao arXiv preprint arXiv:2305.05803, 2023 | 55 | 2023 |
| Semi-supervised hybrid clustering/classification system P Dai, J Lu, B Sekar, W Li, J Xu, R Li US Patent 11,023,710, 2021 | 13 | 2021 |
| ExCon: Explanation-driven Supervised Contrastive Learning for Image Classification Z Zhang, J Jang, C Trabelsi, R Li, S Sanner, Y Jeong, D Shim arXiv preprint arXiv:2111.14271, 2021 | 6 | 2021 |
| EDDA: Explanation-driven Data Augmentation to Improve Model and Explanation Alignment R Li, Z Zhang, J Li, S Sanner, J Jang, Y Jeong, D Shim arXiv preprint arXiv:2105.14162, 2021 | 3 | 2021 |
| Method and system for video segmentation R Li, P Dai, VR Rao, J Lu, W Li, J Xu US Patent 10,963,702, 2021 | 2 | 2021 |
| On the Explanation and Localization Ability of the Class Activation Map R Li University of Toronto, 2022 | | 2022 |
