| Darts+: Improved differentiable architecture search with early stopping H Liang, S Zhang, J Sun, X He, W Huang, K Zhuang, Z Li arXiv preprint arXiv:1909.06035, 2019 | 375 | 2019 |
| Boosting few-shot learning with adaptive margin loss A Li, W Huang, X Lan, J Feng, Z Li, L Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 242 | 2020 |
| Few-shot learning with global class representations A Li, T Luo, T Xiang, W Huang, L Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 145 | 2019 |
| Towards the Generalization of Contrastive Self-Supervised Learning W Huang, M Yi, X Zhao, Z Jiang The Eleventh International Conference on Learning Representations, 2023 | 131 | 2023 |
| Multi-round influence maximization L Sun, W Huang, PS Yu, W Chen Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 126 | 2018 |
| Locally differentially private (contextual) bandits learning K Zheng, T Cai, W Huang, Z Li, L Wang Advances in Neural Information Processing Systems 33, 12300-12310, 2020 | 67 | 2020 |
| Chemllm: A chemical large language model D Zhang, W Liu, Q Tan, J Chen, H Yan, Y Yan, J Li, W Huang, X Yue, ... arXiv preprint arXiv:2402.06852, 2024 | 59 | 2024 |
| Tinygpt-v: Efficient multimodal large language model via small backbones Z Yuan, Z Li, W Huang, Y Ye, L Sun arXiv preprint arXiv:2312.16862, 2023 | 50 | 2023 |
| New interpretations of normalization methods in deep learning J Sun, X Cao, H Liang, W Huang, Z Chen, Z Li Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5875-5882, 2020 | 48 | 2020 |
| InstructionGPT-4: A 200-Instruction Paradigm for Fine-Tuning MiniGPT-4 L Wei, Z Jiang, W Huang, L Sun arXiv preprint arXiv:2308.12067, 2023 | 41 | 2023 |
| Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding T Hu, Z Liu, F Zhou, W Wang, W Huang arXiv preprint arXiv:2205.14814, 2023 | 29 | 2023 |
| When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method M Zhang, X Zhao, J Yao, C Yuan, W Huang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 23 | 2023 |
| Autoeval-video: An automatic benchmark for assessing large vision language models in open-ended video question answering X Chen, Y Lin, Y Zhang, W Huang European Conference on Computer Vision, 179-195, 2024 | 20 | 2024 |
| Matrix Information Theory for Self-Supervised Learning Y Zhang, Z Tan, J Yang, W Huang, Y Yuan arXiv preprint arXiv:2305.17326, 2023 | 18 | 2023 |
| Modeling local dependence in natural language with multi-channel recurrent neural networks C Xu, W Huang, H Wang, G Wang, TY Liu Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5525-5532, 2019 | 18 | 2019 |
| Combinatorial pure exploration with continuous and separable reward functions and its applications. W Huang, J Ok, L Li, W Chen IJCAI, 2291-2297, 2018 | 15* | 2018 |
| A Statistical Theory of Regularization-Based Continual Learning X Zhao, H Wang, W Huang, W Lin Forty-first International Conference on Machine Learning, 2024 | 13 | 2024 |
| Rethinking weak supervision in helping contrastive learning J Cui, W Huang, Y Wang, Y Wang International Conference on Machine Learning, 6448-6467, 2023 | 13 | 2023 |
| Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models L Wei, Z Tan, C Li, J Wang, W Huang The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 12* | 2024 |
| Can pretext-based self-supervised learning be boosted by downstream data? a theoretical analysis J Teng, W Huang, H He International Conference on Artificial Intelligence and Statistics, 4198-4216, 2022 | 12 | 2022 |
Liwei WangProfessor, Peking UniversityVerified email at cis.pku.edu.cn
