| Principle-driven self-alignment of language models from scratch with minimal human supervision Z Sun, Y Shen, Q Zhou, H Zhang, Z Chen, D Cox, Y Yang, C Gan Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 243 | 2023 |
| 3d-llm: Injecting the 3d world into large language models Y Hong, H Zhen, P Chen, S Zheng, Y Du, Z Chen, C Gan Advances in Neural Information Processing Systems 36, 20482-20494, 2023 | 154 | 2023 |
| Star: A benchmark for situated reasoning in real-world videos B Wu, S Yu, Z Chen, JB Tenenbaum, C Gan In Annual Conference on Neural Information Processing Systems, 2021 | 117 | 2021 |
| Weakly-supervised spatio-temporally grounding natural sentence in video Z Chen, L Ma, W Luo, KYK Wong Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 102 | 2019 |
| Grounding physical object and event concepts through dynamic visual reasoning Z Chen, J Mao, J Wu, KYK Wong, JB Tenenbaum, C Gan International Conference on Learning Representations, 2021 | 96* | 2021 |
| Planning with large language models for code generation S Zhang, Z Chen, Y Shen, M Ding, JB Tenenbaum, C Gan International Conference on Learning Representations, 2023 | 81 | 2023 |
| Look closer to ground better: Weakly-supervised temporal grounding of sentence in video Z Chen, L Ma, W Luo, P Tang, KYK Wong arXiv preprint arXiv:2001.09308, 2020 | 74 | 2020 |
| Ps-nerf: Neural inverse rendering for multi-view photometric stereo W Yang, G Chen, C Chen, Z Chen, KYK Wong European Conference on Computer Vision, 266-284, 2022 | 69 | 2022 |
| Dynamic visual reasoning by learning differentiable physics models from video and language M Ding, Z Chen, T Du, P Luo, J Tenenbaum, C Gan Advances In Neural Information Processing Systems 34, 887-899, 2021 | 68 | 2021 |
| Cops-ref: A new dataset and task on compositional referring expression comprehension Z Chen, P Wang, L Ma, KYK Wong, Q Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 64 | 2020 |
| Mod-squad: Designing mixtures of experts as modular multi-task learners Z Chen, Y Shen, M Ding, Z Chen, H Zhao, EG Learned-Miller, C Gan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 55 | 2023 |
| 3d concept learning and reasoning from multi-view images Y Hong, C Lin, Y Du, Z Chen, JB Tenenbaum, C Gan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 45 | 2023 |
| The blessings of unlabeled background in untrimmed videos Y Liu, J Chen, Z Chen, B Deng, J Huang, H Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 44 | 2021 |
| Comphy: Compositional physical reasoning of objects and events from videos Z Chen, K Yi, Y Li, M Ding, A Torralba, JB Tenenbaum, C Gan International Conference on Learning Representations, 2022 | 42 | 2022 |
| Salmon: Self-alignment with principle-following reward models Z Sun, Y Shen, H Zhang, Q Zhou, Z Chen, D Cox, Y Yang, C Gan The Twelfth International Conference on Learning Representations, 2024 | 38* | 2024 |
| Visual Chain-of-Thought Prompting for Knowledge-Based Visual Reasoning Z Chen, Q Zhou, Y Shen, Y Hong, Z Sun, D Gutfreund, C Gan Proceedings of the AAAI Conference on Artificial Intelligence 38 (2), 1254-1262, 2024 | 29* | 2024 |
| S-NeRF: Neural Reflectance Field from Shading and Shadow under a Single Viewpoint W Yang, G Chen, C Chen, Z Chen, KYK Wong Advances in Neural Information Processing Systems 35, 1568-1582, 2022 | 29 | 2022 |
| Embodied concept learner: Self-supervised learning of concepts and mapping through instruction following M Ding, Y Xu, Z Chen, DD Cox, P Luo, JB Tenenbaum, C Gan Conference on robot learning, 1743-1754, 2023 | 18 | 2023 |
| Moduleformer: Learning modular large language models from uncurated data Y Shen, Z Zhang, T Cao, S Tan, Z Chen, C Gan arXiv preprint arXiv:2306.04640, 2023 | 17 | 2023 |
| Visual dependency transformers: Dependency tree emerges from reversed attention M Ding, Y Shen, L Fan, Z Chen, Z Chen, P Luo, JB Tenenbaum, C Gan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 12 | 2023 |
