| Learning descriptor networks for 3d shape synthesis and analysis J Xie, Z Zheng, R Gao, W Wang, SC Zhu, YN Wu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 133 | 2018 |
| Reasoning visual dialogs with structural and partial observations Z Zheng, W Wang, S Qi, SC Zhu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 109 | 2019 |
| Generative pointnet: Deep energy-based learning on unordered point sets for 3d generation, reconstruction and classification J Xie, Y Xu, Z Zheng, SC Zhu, YN Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 49 | 2021 |
| Learning dynamic generator model by alternating back-propagation through time J Xie, R Gao, Z Zheng, SC Zhu, YN Wu Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5498-5507, 2019 | 37 | 2019 |
| Generative VoxelNet: learning energy-based models for 3D shape synthesis and analysis J Xie, Z Zheng, R Gao, W Wang, SC Zhu, YN Wu IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (5), 2468-2484, 2020 | 35 | 2020 |
| In situ bidirectional human-robot value alignment L Yuan, X Gao, Z Zheng, M Edmonds, YN Wu, F Rossano, H Lu, Y Zhu, ... Science robotics 7 (68), eabm4183, 2022 | 33 | 2022 |
| Learning energy-based model with variational auto-encoder as amortized sampler J Xie, Z Zheng, P Li Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10441 …, 2021 | 29 | 2021 |
| Cooperative training of fast thinking initializer and slow thinking solver for conditional learning J Xie, Z Zheng, X Fang, SC Zhu, YN Wu IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (8), 3957-3973, 2021 | 26 | 2021 |
| Joint inference of states, robot knowledge, and human (false-) beliefs T Yuan, H Liu, L Fan, Z Zheng, T Gao, Y Zhu, SC Zhu 2020 IEEE International Conference on Robotics and Automation (ICRA), 5972-5978, 2020 | 23 | 2020 |
| Patchwise generative convnet: Training energy-based models from a single natural image for internal learning Z Zheng, J Xie, P Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 16 | 2021 |
| Learning triadic belief dynamics in nonverbal communication from videos L Fan, S Qiu, Z Zheng, T Gao, SC Zhu, Y Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 16 | 2021 |
| Sqa3d: Situated question answering in 3d scenes X Ma, S Yong, Z Zheng, Q Li, Y Liang, SC Zhu, S Huang arXiv preprint arXiv:2210.07474, 2022 | 15 | 2022 |
| Unsupervised vision-language grammar induction with shared structure modeling B Wan, W Han, Z Zheng, T Tuytelaars International Conference on Learning Representations, 2021 | 12 | 2021 |
| Learning cycle-consistent cooperative networks via alternating MCMC teaching for unsupervised cross-domain translation J Xie, Z Zheng, X Fang, SC Zhu, YN Wu Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10430 …, 2021 | 12 | 2021 |
| Motion-based generator model: Unsupervised disentanglement of appearance, trackable and intrackable motions in dynamic patterns J Xie, R Gao, Z Zheng, SC Zhu, YN Wu Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12442 …, 2020 | 11 | 2020 |
| Energy-based generative cooperative saliency prediction J Zhang, J Xie, Z Zheng, N Barnes Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 3280-3290, 2022 | 7 | 2022 |
| Unsupervised vision-language parsing: Seamlessly bridging visual scene graphs with language structures via dependency relationships C Lou, W Han, Y Lin, Z Zheng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 6 | 2022 |
| Multimodal conditional learning with fast thinking policy-like model and slow thinking planner-like model J Xie, Z Zheng, X Fang, SC Zhu, YN Wu arXiv preprint arXiv:1902.02812, 2019 | 6 | 2019 |
| GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning Z Zheng, S Qiu, L Fan, Y Zhu, SC Zhu Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 3 | 2021 |
| Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners X Tang, Z Zheng, J Li, F Meng, SC Zhu, Y Liang, M Zhang arXiv preprint arXiv:2305.14825, 2023 | 2 | 2023 |
song-chun zhuProfessor of Statistics and Computer Science, UCLAVerified email at stat.ucla.edu
