| Regulation of cell-cell fusion by nanotopography J Padmanabhan, MJ Augelli, B Cheung, ER Kinser, B Cleary, P Kumar, ... Scientific reports 6 (1), 33277, 2016 | 35 | 2016 |
| Equivariant networks for hierarchical structures R Wang, M Albooyeh, S Ravanbakhsh Advances in Neural Information Processing Systems 33, 13806-13817, 2020 | 20* | 2020 |
| Programmatically Grounded, Compositionally Generalizable Robotic Manipulation R Wang, J Mao, J Hsu, H Zhao, J Wu, Y Gao The Eleventh International Conference on Learning Representations, 0 | 18* | |
| Semantic-aware fine-grained correspondence Y Hu, R Wang, K Zhang, Y Gao European Conference on Computer Vision, 97-115, 2022 | 12 | 2022 |
| Robust and Controllable Object-Centric Learning through Energy-based Models R Zhang, T Che, B Ivanovic, R Wang, M Pavone, Y Bengio, L Paull arXiv preprint arXiv:2210.05519, 2022 | 10 | 2022 |
| SGP: spotting groups polluting the online political discourse J Wang, S Levy, R Wang, A Kulshrestha, R Rabbany CoRR, abs/1910.07130, 2019 | 4 | 2019 |
| Cyborgs: Contrastively bootstrapping object representations by grounding in segmentation R Wang, H Zhao, Y Gao European Conference on Computer Vision, 260-277, 2022 | 3 | 2022 |
| Anomaly Detection with Joint Representation Learning of Content and Connection J Wang, R Wang, A Kulshrestha, R Rabbany arXiv preprint arXiv:1906.12328, 2019 | 2 | 2019 |
| Dense Forecasting of Wildfire Smoke Particulate Matter Using Sparsity Invariant Convolutional Neural Networks R Wang, A Bhudia, BD Remedios, M Teng, R Ng arXiv preprint arXiv:2009.11362, 2020 | | 2020 |
