Ke Ma

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 31

Top Topics

Pairwise Comparison

Preference Learning

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Ke Ma, Qianqian Xu, Jinshan Zeng, Wei Liu, Xiaochun Cao, Yingfei Sun, Qingming Huang
Sequential Manipulation Against Rank Aggregation: Theory and Algorithm. CoRR (2024)
Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao
Improving Fast Adversarial Training With Prior-Guided Knowledge. IEEE Trans. Pattern Anal. Mach. Intell. 46 (9) (2024)
Ke Ma, Qianqian Xu, Jinshan Zeng, Guorong Li, Xiaochun Cao, Qingming Huang
A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation is the Fixed Point of Adversarial Game. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao
Improving Fast Adversarial Training with Prior-Guided Knowledge. CoRR (2023)
Jiawei Liang, Siyuan Liang, Aishan Liu, Ke Ma, Jingzhi Li, Xiaochun Cao
Exploring Inconsistent Knowledge Distillation for Object Detection with Data Augmentation. ACM Multimedia (2023)
Xiaojun Jia, Yong Zhang, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao
LAS-AT: Adversarial Training with Learnable Attack Strategy. CVPR (2022)
Wenzheng Hou, Qianqian Xu, Ke Ma, Qianxiu Hao, Qingming Huang
Quaternion Ordinal Embedding. IJCAI (2022)
Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao
Prior-Guided Adversarial Initialization for Fast Adversarial Training. CoRR (2022)
Ke Ma, Qianqian Xu, Jinshan Zeng, Xiaochun Cao, Qingming Huang
Poisoning Attack Against Estimating From Pairwise Comparisons. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Zitai Wang, Qianqian Xu, Ke Ma, Xiaochun Cao, Qingming Huang
Confederated Learning: Going Beyond Centralization. ACM Multimedia (2022)
Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao
Prior-Guided Adversarial Initialization for Fast Adversarial Training. ECCV (4) (2022)
Xiaojun Jia, Yong Zhang, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao
LAS-AT: Adversarial Training with Learnable Attack Strategy. CoRR (2022)
Sagnik Das, Ke Ma, Zhixin Shu, Dimitris Samaras
Learning an Isometric Surface Parameterization for Texture Unwrapping. ECCV (37) (2022)
Ke Ma, Qianqian Xu, Jinshan Zeng, Guorong Li, Xiaochun Cao, Qingming Huang
A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation Is the Fixed Point of Adversarial Game. CoRR (2022)
Junyu Chen, Qianqian Xu, Zhiyong Yang, Ke Ma, Xiaochun Cao, Qingming Huang
Recurrent Meta-Learning against Generalized Cold-start Problem in CTR Prediction. ACM Multimedia (2022)
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) (2021)
Jinshan Zeng, Yixuan Zha, Ke Ma, Yuan Yao
On Stochastic Variance Reduced Gradient Method for Semidefinite Optimization. CoRR (2021)
Zhaopeng Li, Qianqian Xu, Yangbangyan Jiang, Ke Ma, Xiaochun Cao, Qingming Huang
Neural Collaborative Preference Learning With Pairwise Comparisons. IEEE Trans. Multim. 23 (2021)
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)
Ke Ma, Qianqian Xu, Jinshan Zeng, Xiaochun Cao, Qingming Huang
Poisoning Attack against Estimating from Pairwise Comparisons. CoRR (2021)
Ke Ma, Qianqian Xu, Xiaochun Cao
Robust Ordinal Embedding from Contaminated Relative Comparisons. AAAI (2019)
Zitai Wang, Qianqian Xu, Ke Ma, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang
Adversarial Preference Learning with Pairwise Comparisons. ACM Multimedia (2019)
Jinshan Zeng, Ke Ma, Yuan Yao
On Global Linear Convergence in Stochastic Nonconvex Optimization for Semidefinite Programming. IEEE Trans. Signal Process. 67 (16) (2019)
Ke Ma, Jinshan Zeng, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao
Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size. CoRR (2019)
Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao
Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin. AAAI (2019)
Shilong Bao, Qianqian Xu, Ke Ma, Zhiyong Yang, Xiaochun Cao, Qingming Huang
Collaborative Preference Embedding against Sparse Labels. ACM Multimedia (2019)
Jinshan Zeng, Ke Ma, Yuan Yao
Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction. AISTATS (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)
Ke Ma, Qianqian Xu, Xiaochun Cao
Robust Ordinal Embedding from Contaminated Relative Comparisons. CoRR (2018)
Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao
Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin. CoRR (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. CoRR (2017)