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Ke Ma
Ke Ma
School of Computer Science and Technology, University of Chinese Academy of Sciences,
Email confirmado em ucas.ac.cn - Página inicial
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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
1792022
Prior-guided adversarial initialization for fast adversarial training
X Jia, Y Zhang, X Wei, B Wu, K Ma, J Wang, X Cao
European Conference on Computer Vision, 567-584, 2022
462022
Improving fast adversarial training with prior-guided knowledge
X Jia, Y Zhang, X Wei, B Wu, K Ma, J Wang, X Cao
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
332024
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
272021
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
262017
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
232022
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
202019
Exploring inconsistent knowledge distillation for object detection with data augmentation
J Liang, S Liang, A Liu, K Ma, J Li, X Cao
Proceedings of the 31st ACM International Conference on Multimedia, 768-778, 2023
172023
Sequential manipulation against rank aggregation: theory and algorithm
K Ma, Q Xu, J Zeng, W Liu, X Cao, Y Sun, Q Huang
IEEE transactions on pattern analysis and machine intelligence, 2024
122024
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
122019
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
92021
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
72019
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
Recurrent Meta-Learning against Generalized Cold-start Problem in CTR Prediction
J Chen, Q Xu, Z Yang, K Ma, X Cao, Q Huang
Proceedings of the 30th ACM International Conference on Multimedia, 2636-2644, 2022
32022
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
Confederated learning: Going beyond centralization
Z Wang, Q Xu, K Ma, X Cao, Q Huang
Proceedings of the 30th ACM International Conference on Multimedia, 2939-2947, 2022
12022
Quaternion Ordinal Embedding.
W Hou, Q Xu, K Ma, Q Hao, Q Huang
IJCAI, 2066-2072, 2022
12022
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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