Deep object co-segmentation W Li, O Hosseini Jafari, C Rother Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 161 | 2019 |
Extreme learning machine for ranking: generalization analysis and applications H Chen, J Peng, Y Zhou, L Li, Z Pan Neural Networks 53, 119-126, 2014 | 66 | 2014 |
A bayesian federated learning framework with online laplace approximation L Liu, X Jiang, F Zheng, H Chen, GJ Qi, H Huang, L Shao IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 57 | 2023 |
The convergence rate of a regularized ranking algorithm H Chen Journal of Approximation Theory 164 (12), 1513-1519, 2012 | 49 | 2012 |
Commonsense knowledge aware concept selection for diverse and informative visual storytelling H Chen, Y Huang, H Takamura, H Nakayama Proceedings of the AAAI Conference on Artificial Intelligence 35 (2), 999-1008, 2021 | 45 | 2021 |
Generalization performance of magnitude-preserving semi-supervised ranking with graph-based regularization Z Pan, X You, H Chen, D Tao, B Pang Information Sciences 221, 284-296, 2013 | 43 | 2013 |
Regularized modal regression with applications in cognitive impairment prediction X Wang, H Chen, W Cai, D Shen, H Huang Advances in neural information processing systems 30, 2017 | 42 | 2017 |
Ideal regularized composite kernel for hyperspectral image classification J Peng, H Chen, Y Zhou, L Li IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 40 | 2016 |
Error analysis of stochastic gradient descent ranking H Chen, Y Tang, L Li, Y Yuan, X Li, Y Tang IEEE transactions on cybernetics 43 (3), 898-909, 2013 | 36 | 2013 |
Group sparse additive machine H Chen, X Wang, C Deng, H Huang Advances in Neural Information Processing Systems 30, 2017 | 34 | 2017 |
Detecting network communities using regularized spectral clustering algorithm L Huang, R Li, H Chen, X Gu, K Wen, Y Li Artificial Intelligence Review 41, 579-594, 2014 | 34 | 2014 |
Sparse modal additive model H Chen, Y Wang, F Zheng, C Deng, H Huang IEEE Transactions on Neural Networks and Learning Systems 32 (6), 2373-2387, 2020 | 32 | 2020 |
Kernel-based sparse regression with the correntropy-induced loss H Chen, Y Wang Applied and Computational Harmonic Analysis 44 (1), 144-164, 2018 | 32 | 2018 |
Error bounds of multi-graph regularized semi-supervised classification H Chen, L Li, J Peng Information Sciences 179 (12), 1960-1969, 2009 | 32 | 2009 |
Graphplan: Story generation by planning with event graph H Chen, R Shu, H Takamura, H Nakayama arXiv preprint arXiv:2102.02977, 2021 | 31 | 2021 |
Negative label guided ood detection with pretrained vision-language models X Jiang, F Liu, Z Fang, H Chen, T Liu, F Zheng, B Han arXiv preprint arXiv:2403.20078, 2024 | 28 | 2024 |
Modal regression-based atomic representation for robust face recognition and reconstruction Y Wang, YY Tang, L Li, H Chen IEEE transactions on cybernetics 50 (10), 4393-4405, 2019 | 28 | 2019 |
Example-based super-resolution via social images Y Tang, H Chen, Z Liu, B Song, Q Wang Neurocomputing 172, 38-47, 2016 | 26 | 2016 |
Hyperspectral image classification using FPCA-based kernel extreme learning machine Y Wei, G Xiao, H Deng, H Chen, M Tong, G Zhao, Q Liu Optik 126 (23), 3942-3948, 2015 | 26 | 2015 |
Convergence rate of the semi-supervised greedy algorithm H Chen, Y Zhou, YY Tang, L Li, Z Pan Neural Networks 44, 44-50, 2013 | 26 | 2013 |