| 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 | 416 | 2007 |
| Semi-supervised learning by sparse representation S Yan, H Wang Proceedings of the 2009 SIAM international conference on data mining, 792-801, 2009 | 315 | 2009 |
| Exact Recovery of Sparsely-Used Dictionaries DA Spielman, H Wang, J Wright Arxiv preprint arXiv:1206.5882, 2012 | 304 | 2012 |
| 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 | 236 | 2022 |
| 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 | 204 | 2007 |
| 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 | 144 | 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 | 111 | 2021 |
| 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 | 107 | 2022 |
| 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 |
| Misalignment-robust face recognition S Yan, H Wang, J Liu, X Tang, TS Huang IEEE transactions on image processing 19 (4), 1087-1096, 2009 | 71 | 2009 |
| 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 | 63 | 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 |
| 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 | 60 | 2022 |
| 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 | 51 | 2021 |
| 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 | 47 | 2021 |
| Identifying Generalization Properties in Neural Networks H Wang, NS Keskar, C Xiong, R Socher arXiv preprint arXiv:1809.07402, 2018 | 42 | 2018 |
| Towards understanding hierarchical learning: Benefits of neural representations M Chen, Y Bai, JD Lee, T Zhao, H Wang, C Xiong, R Socher Advances in Neural Information Processing Systems 33, 22134-22145, 2020 | 41 | 2020 |
| Regression from uncertain labels and its applications to soft biometrics S Yan, H Wang, X Tang, J Liu, TS Huang IEEE Transactions on Information Forensics and Security 3 (4), 698-708, 2008 | 33 | 2008 |
| Adaptive dropout with rademacher complexity regularization K Zhai, H Wang International conference on learning representations, 2018 | 31 | 2018 |
| On the generalization gap in reparameterizable reinforcement learning H Wang, S Zheng, C Xiong, R Socher International Conference on Machine Learning, 6648-6658, 2019 | 29 | 2019 |
Caiming XiongSalesforce ResearchVerified email at salesforce.com
