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Ke Ma
Ke Ma
School of Computer Science and Technology, University of Chinese Academy of Sciences,
Verified email at ucas.ac.cn - Homepage
Title
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Year
LAS-AT: adversarial training with learnable attack strategy
X Jia, Y Zhang, B Wu, K Ma, J Wang, X Cao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1152022
Stochastic Non-convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size
K Ma, J Zeng, J Xiong, Q Xu, X Cao, W Liu, Y Yao
The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 3738 …, 2017
252017
Adversarial preference learning with pairwise comparisons
Z Wang, Q Xu, K Ma, Y Jiang, X Cao, Q Huang
Proceedings of the 27th ACM International Conference on Multimedia, 656-664, 2019
172019
Poisoning attack against estimating from pairwise comparisons
K Ma, Q Xu, J Zeng, X Cao, Q Huang
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 6393 …, 2021
112021
Collaborative preference embedding against sparse labels
S Bao, Q Xu, K Ma, Z Yang, X Cao, Q Huang
Proceedings of the 27th ACM International Conference on Multimedia, 2079-2087, 2019
92019
A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation is the Fixed Point of Adversarial Game
K Ma, Q Xu, J Zeng, G Li, X Cao, Q Huang
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4090 …, 2022
82022
Robust ordinal embedding from contaminated relative comparisons
K Ma, Q Xu, X Cao
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7908-7915, 2019
62019
What to select: Pursuing consistent motion segmentation from multiple geometric models
Y Jiang, Q Xu, K Ma, Z Yang, X Cao, Q Huang
Proceedings of the AAAI Conference on Artificial Intelligence 35 (2), 1708-1716, 2021
52021
Fast stochastic ordinal embedding with variance reduction and adaptive step size
K Ma, J Zeng, J Xiong, Q Xu, X Cao, W Liu, Y Yao
IEEE Transactions on Knowledge and Data Engineering 33 (6), 2467-2478, 2019
42019
On global linear convergence in stochastic nonconvex optimization for semidefinite programming
J Zeng, K Ma, Y Yao
IEEE Transactions on Signal Processing 67 (16), 4261-4275, 2019
42019
Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction
J Zeng, K Ma, Y Yao
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2018
32018
Neural collaborative preference learning with pairwise comparisons
Z Li, Q Xu, Y Jiang, K Ma, X Cao, Q Huang
IEEE Transactions on Multimedia 23, 1977-1989, 2020
22020
Less but better: Generalization enhancement of ordinal embedding via distributional margin
K Ma, Q Xu, Z Yang, X Cao
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2978-2985, 2019
12019
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Articles 1–13