| 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 | 163 | 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 | 138 | 2019 |
| 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 | 82 | 2022 |
| 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 | 81 | 2022 |
| 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 | 78 | 2021 |
| Mindagent: Emergent gaming interaction R Gong, Q Huang, X Ma, H Vo, Z Durante, Y Noda, Z Zheng, SC Zhu, ... arXiv preprint arXiv:2309.09971, 2023 | 58 | 2023 |
| 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 | 48 | 2020 |
| Jarvis-1: Open-world multi-task agents with memory-augmented multimodal language models Z Wang, S Cai, A Liu, Y Jin, J Hou, B Zhang, H Lin, Z He, Z Zheng, Y Yang, ... arXiv preprint arXiv:2311.05997, 2023 | 45 | 2023 |
| 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 | 44 | 2021 |
| LooGLE: Can Long-Context Language Models Understand Long Contexts? J Li, M Wang, Z Zheng, M Zhang arXiv preprint arXiv:2311.04939, 2023 | 43 | 2023 |
| 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 | 40 | 2019 |
| 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 | 39* | 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 | 37 | 2023 |
| Avalon's game of thoughts: Battle against deception through recursive contemplation S Wang, C Liu, Z Zheng, S Qi, S Chen, Q Yang, A Zhao, C Wang, S Song, ... arXiv preprint arXiv:2310.01320, 2023 | 33 | 2023 |
| 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 | 27 | 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 | 26 | 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 | 22 | 2021 |
| Unsupervised vision-language grammar induction with shared structure modeling B Wan, W Han, Z Zheng, T Tuytelaars Proceedings ICLR 2022, 2022 | 19 | 2022 |
| Semi-automatic data enhancement for document-level relation extraction with distant supervision from large language models J Li, Z Jia, Z Zheng arXiv preprint arXiv:2311.07314, 2023 | 18 | 2023 |
| 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 | 17 | 2020 |
song-chun zhuProfessor of Statistics and Computer Science, UCLAE-mailová adresa ověřena na: stat.ucla.edu
