| Learning spatial common sense with geometry-aware recurrent networks HYF Tung, R Cheng, K Fragkiadaki Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 78 | 2019 |
| Reinforcement Learning of Active Vision for Manipulating Objects under Occlusions R Cheng, A Agarwal, K Fragkiadaki arXiv preprint arXiv:1811.08067, 2018 | 64 | 2018 |
| Geometry-aware recurrent neural networks for active visual recognition R Cheng, Z Wang, K Fragkiadaki Advances in Neural Information Processing Systems 31, 2018 | 37 | 2018 |
| Clustering the space of maximum parsimony reconciliations in the duplication-transfer-loss model A Ozdemir, M Sheely, D Bork, R Cheng, R Hulett, J Sung, J Wang, ... Algorithms for Computational Biology: 4th International Conference, AlCoB …, 2017 | 10 | 2017 |
| On the computational complexity of the maximum parsimony reconciliation problem in the duplication-loss-coalescence model D Bork, R Cheng, J Wang, J Sung, R Libeskind-Hadas Algorithms for Molecular Biology 12, 1-12, 2017 | 8 | 2017 |
| Learning and reusing dialog for repeated interactions with a situated social agent J Kennedy, I Leite, A Pereira, M Sun, B Li, R Jain, R Cheng, E Pincus, ... Intelligent Virtual Agents: 17th International Conference, IVA 2017 …, 2017 | 8 | 2017 |
| Learning Spatial Common Sense with Geometry-Aware Recurrent Networks HY Fish Tung, R Cheng, K Fragkiadaki arXiv e-prints, arXiv: 1901.00003, 2018 | | 2018 |
| Reconciliation Feasibility of Non-binary Gene Trees Under a Duplication-Loss-Coalescence Model R Cheng, M Dohlen, C Pekker, G Quiroz, J Wang, R Libeskind-Hadas, ... Algorithms for Computational Biology: 5th International Conference, AlCoB …, 2018 | | 2018 |
