Publication
2021
Ke Ma, Qianqian Xu, Jinshan Zeng, Xiaochun Cao, Qingming Huang:
Poisoning Attack against Estimating from Pairwise Comparisons.
IEEE Trans. Pattern Anal. Mach. Intell. (2021) [publisher] [code]Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao:
Fast Stochastic Ordinal Embedding With Variance Reduction and Adaptive Step Size.
IEEE Trans. Knowl. Data Eng. 33(6): 2467-2478 (2021)[publisher][code]Yangbangyan Jiang, Qianqian Xu, Ke Ma, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models.
AAAI 2021: 1708-1716 [publisher][code][supp]
2020
- Zhaopeng Li, Qianqian Xu, Yangbangyan Jiang, Ke Ma, Xiaochun Cao, and Qingming Huang:
Neural Collaborative Preference Learning with Pairwise Comparisons.
IEEE Trans. Multim. (2020) [publisher]
2019
Ke Ma, Qianqian Xu, Xiaochun Cao:
Robust Ordinal Embedding from Contaminated Relative Comparisons.
AAAI 2019: 7908-7915 [arXiv] [code]Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao:
Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin.
AAAI 2019: 2978-2985 [arXiv] [code]Jinshan Zeng, Ke Ma, Yuan Yao:
On Global Linear Convergence in Stochastic Nonconvex Optimization for Semidefinite Programming.
IEEE Trans. Signal Processing 67(16): 4261-4275 (2019) [publisher] [ICCM 2020 Distinguished Paper Award]Zitai Wang, Qianqian Xu, Ke Ma, Yangbangyan Jiang, Xiaochun Cao, and Qingming Huang:
Adversarial Preference Learning with Pairwise Comparisons.
ACM Multimedia 2019:656-664 [publisher] [code]Shilong Bao, Qianqian Xu, Ke Ma, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
Collaborative Preference Embedding against Sparse Labels.
ACM Multimedia 2019: 2079-2087 [publisher] [code]
2018
Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao:
Stochastic Non-Convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size.
AAAI 2018: 3738-3745 [arXiv] [code]Jinshan Zeng, Ke Ma, Yuan Yao:
Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction.
AISTATS 2018: 199-207 [arXiv] [code]