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Weiran Huang
Weiran Huang
Associate Professor, Shanghai Jiao Tong University
Verified email at sjtu.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
3302019
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
2132020
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
1322019
Multi-round influence maximization
L Sun, W Huang, PS Yu, W Chen
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
1112018
Towards the Generalization of Contrastive Self-Supervised Learning
W Huang, M Yi, X Zhao, Z Jiang
The Eleventh International Conference on Learning Representations, 2022
822022
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
522020
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
412020
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
232023
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding
T Hu, Z Liu, F Zhou, W Wang, W Huang
arXiv preprint arXiv:2205.14814, 2022
172022
ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations
X Zhao, T Du, Y Wang, J Yao, W Huang
arXiv preprint arXiv:2303.01092, 2023
15*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
152019
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
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
102024
Rethinking weak supervision in helping contrastive learning
J Cui, W Huang, Y Wang, Y Wang
International Conference on Machine Learning, 6448-6467, 2023
82023
Matrix Information Theory for Self-Supervised Learning
Y Zhang, Z Tan, J Yang, W Huang, Y Yuan
arXiv preprint arXiv:2305.17326, 2023
8*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
8*2023
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
82022
Meta-learning PAC-Bayes priors in model averaging
Y Huang, W Huang, L Li, Z Li
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4198-4205, 2020
82020
Information Flow in Self-Supervised Learning
Z Tan, J Yang, W Huang, Y Yuan, Y Zhang
arXiv preprint arXiv:2309.17281, 2023
62023
Community exploration: from offline optimization to online learning
X Chen, W Huang, W Chen, J Lui
Advances in Neural Information Processing Systems 31, 2018
62018
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