| Learning towards minimum hyperspherical energy W Liu, R Lin, Z Liu, L Liu, Z Yu, B Dai, L Song Advances in neural information processing systems 31, 2018 | 145 | 2018 |
| Decoupled networks W Liu, Z Liu, Z Yu, B Dai, R Lin, Y Wang, JM Rehg, L Song Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 68 | 2018 |
| A deep deterministic policy gradient approach to medication dosing and surveillance in the ICU R Lin, MD Stanley, MM Ghassemi, S Nemati 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 33 | 2018 |
| Learning with hyperspherical uniformity W Liu, R Lin, Z Liu, L Xiong, B Schölkopf, A Weller International Conference On Artificial Intelligence and Statistics, 1180-1188, 2021 | 32 | 2021 |
| PAM: understanding product images in cross product category attribute extraction R Lin, X He, J Feng, N Zalmout, Y Liang, L Xiong, XL Dong Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 27 | 2021 |
| Regularizing neural networks via minimizing hyperspherical energy R Lin, W Liu, Z Liu, C Feng, Z Yu, JM Rehg, L Xiong, L Song Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 27* | 2020 |
| Orthogonal over-parameterized training W Liu, R Lin, Z Liu, JM Rehg, L Paull, L Xiong, L Song, A Weller Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 26 | 2021 |
| Jointly learning non-negative projection and dictionary with discriminative graph constraints for classification W Liu, Z Yu, Y Wen, R Lin, M Yang arXiv preprint arXiv:1511.04601, 2015 | 12 | 2015 |
| Federated pruning: Improving neural network efficiency with federated learning R Lin, Y Xiao, TJ Yang, D Zhao, L Xiong, G Motta, F Beaufays arXiv preprint arXiv:2209.06359, 2022 | 5 | 2022 |
| PV2TEA: Patching visual modality to textual-established information extraction H Cui, R Lin, N Zalmout, C Zhang, J Shang, C Yang, X Li arXiv preprint arXiv:2306.01016, 2023 | 2 | 2023 |
| Deformable Part Networks Z Zhang, R Lin, A Sullivan arXiv preprint arXiv:1805.08808, 2018 | 1 | 2018 |
| Exploring Invariance in Single and Multi-Modal Deep Representation Learning R Lin Emory University, 2022 | | 2022 |
| Generative Fairness Teaching R Lin, H Dai, L Xiong, W Wei | | 2020 |
