| Codegen: An open large language model for code with multi-turn program synthesis E Nijkamp, B Pang, H Hayashi, L Tu, H Wang, Y Zhou, S Savarese, ... arXiv preprint arXiv:2203.13474, 2022 | 790 | 2022 |
| Trace ratio vs. ratio trace for dimensionality reduction H Wang, S Yan, D Xu, X Tang, T Huang 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007 | 426 | 2007 |
| Semi-supervised learning by sparse representation S Yan, H Wang Proceedings of the 2009 SIAM international conference on data mining, 792-801, 2009 | 316 | 2009 |
| Exact Recovery of Sparsely-Used Dictionaries DA Spielman, H Wang, J Wright Arxiv preprint arXiv:1206.5882, 2012 | 315 | 2012 |
| Learning auto-structured regressor from uncertain nonnegative labels S Yan, H Wang, X Tang, TS Huang 2007 IEEE 11th international conference on computer vision, 1-8, 2007 | 203 | 2007 |
| Policy finetuning: Bridging sample-efficient offline and online reinforcement learning T Xie, N Jiang, H Wang, C Xiong, Y Bai Advances in neural information processing systems 34, 27395-27407, 2021 | 161 | 2021 |
| Ranking with uncertain labels S Yan, H Wang, TS Huang, Q Yang, X Tang 2007 IEEE international conference on multimedia and expo, 96-99, 2007 | 148 | 2007 |
| A conversational paradigm for program synthesis E Nijkamp, B Pang, H Hayashi, L Tu, H Wang, Y Zhou, S Savarese, ... arXiv preprint arXiv:2203.13474 30, 2022 | 140 | 2022 |
| Ensemble of averages: Improving model selection and boosting performance in domain generalization D Arpit, H Wang, Y Zhou, C Xiong Advances in Neural Information Processing Systems 35, 8265-8277, 2022 | 126 | 2022 |
| Transformers as statisticians: Provable in-context learning with in-context algorithm selection Y Bai, F Chen, H Wang, C Xiong, S Mei Advances in Neural Information Processing Systems 36, 2024 | 115 | 2024 |
| Synchronized submanifold embedding for person-independent pose estimation and beyond S Yan, H Wang, Y Fu, J Yan, X Tang, TS Huang IEEE Transactions on Image Processing 18 (1), 202-210, 2008 | 91 | 2008 |
| How Important is the Train-Validation Split in Meta-Learning? Y Bai, M Chen, P Zhou, T Zhao, J Lee, S Kakade, H Wang, C Xiong International Conference on Machine Learning, 543-553, 2021 | 82 | 2021 |
| Sample-efficient learning of stackelberg equilibria in general-sum games Y Bai, C Jin, H Wang, C Xiong Advances in Neural Information Processing Systems 34, 25799-25811, 2021 | 74 | 2021 |
| Misalignment-robust face recognition S Yan, H Wang, J Liu, X Tang, TS Huang IEEE transactions on image processing 19 (4), 1087-1096, 2009 | 72 | 2009 |
| UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild C Qin, S Zhang, N Yu, Y Feng, X Yang, Y Zhou, H Wang, JC Niebles, ... arXiv preprint arXiv:2305.11147, 2023 | 63 | 2023 |
| Catastrophic fisher explosion: Early phase fisher matrix impacts generalization S Jastrzebski, D Arpit, O Astrand, GB Kerg, H Wang, C Xiong, R Socher, ... International Conference on Machine Learning, 4772-4784, 2021 | 62 | 2021 |
| Exploring Feature Descritors for Face Recognition S Yan, H Wang, X Tang, T Huang Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE …, 2007 | 62 | 2007 |
| Hive: Harnessing human feedback for instructional visual editing S Zhang, X Yang, Y Feng, C Qin, CC Chen, N Yu, Z Chen, H Wang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 59 | 2024 |
| BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents Z Liu, W Yao, J Zhang, L Xue, S Heinecke, R Murthy, Y Feng, Z Chen, ... arXiv preprint arXiv:2308.05960, 2023 | 57 | 2023 |
| Don’t just blame over-parametrization for over-confidence: Theoretical analysis of calibration in binary classification Y Bai, S Mei, H Wang, C Xiong International Conference on Machine Learning, 566-576, 2021 | 50 | 2021 |
Caiming XiongSalesforce Research在 salesforce.com 的电子邮件经过验证
