Ke Ma

According to our database, Ke Ma authored at least 24 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Sequential Manipulation Against Rank Aggregation: Theory and Algorithm.

Ke Ma, Qianqian Xu, Jinshan Zeng, Wei Liu, Xiaochun Cao, Yingfei Sun, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Improving Fast Adversarial Training With Prior-Guided Knowledge.

Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao

IEEE Trans. Pattern Anal. Mach. Intell., September, 2024

2023

A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation is the Fixed Point of Adversarial Game.

Ke Ma, Qianqian Xu, Jinshan Zeng, Guorong Li, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Exploring Inconsistent Knowledge Distillation for Object Detection with Data Augmentation.

Jiawei Liang, Siyuan Liang, Aishan Liu, Ke Ma, Jingzhi Li, Xiaochun Cao

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

Poisoning Attack Against Estimating From Pairwise Comparisons.

Ke Ma, Qianqian Xu, Jinshan Zeng, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Confederated Learning: Going Beyond Centralization.

Zitai Wang, Qianqian Xu, Ke Ma, Xiaochun Cao, Qingming Huang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Recurrent Meta-Learning against Generalized Cold-start Problem in CTR Prediction.

Junyu Chen, Qianqian Xu, Zhiyong Yang, Ke Ma, Xiaochun Cao, Qingming Huang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Quaternion Ordinal Embedding.

Wenzheng Hou, Qianqian Xu, Ke Ma, Qianxiu Hao, Qingming Huang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Prior-Guided Adversarial Initialization for Fast Adversarial Training.

Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning an Isometric Surface Parameterization for Texture Unwrapping.

Sagnik Das, Ke Ma, Zhixin Shu, Dimitris Samaras

Proceedings of the Computer Vision - ECCV 2022, 2022

LAS-AT: Adversarial Training with Learnable Attack Strategy.

Xiaojun Jia, Yong Zhang, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Neural Collaborative Preference Learning With Pairwise Comparisons.

Zhaopeng Li, Qianqian Xu, Yangbangyan Jiang, Ke Ma, Xiaochun Cao, Qingming Huang

IEEE Trans. Multim., 2021

Fast Stochastic Ordinal Embedding With Variance Reduction and Adaptive Step Size.

Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao

IEEE Trans. Knowl. Data Eng., 2021

On Stochastic Variance Reduced Gradient Method for Semidefinite Optimization.

Jinshan Zeng, Yixuan Zha, Ke Ma, Yuan Yao

CoRR, 2021

What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models.

Yangbangyan Jiang, Qianqian Xu, Ke Ma, Zhiyong Yang, Xiaochun Cao, Qingming Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

On Global Linear Convergence in Stochastic Nonconvex Optimization for Semidefinite Programming.

Jinshan Zeng, Ke Ma, Yuan Yao

IEEE Trans. Signal Process., 2019

Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size.

Ke Ma, Jinshan Zeng, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao

CoRR, 2019

Adversarial Preference Learning with Pairwise Comparisons.

Zitai Wang, Qianqian Xu, Ke Ma, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Collaborative Preference Embedding against Sparse Labels.

Shilong Bao, Qianqian Xu, Ke Ma, Zhiyong Yang, Xiaochun Cao, Qingming Huang

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin.

Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Robust Ordinal Embedding from Contaminated Relative Comparisons.

Ke Ma, Qianqian Xu, Xiaochun Cao

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

DocUNet: Document Image Unwarping via a Stacked U-Net.

Ke Ma, Zhixin Shu, Xue Bai, Jue Wang, Dimitris Samaras

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction.

Jinshan Zeng, Ke Ma, Yuan Yao

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Stochastic Non-Convex Ordinal Embedding With Stabilized Barzilai-Borwein Step Size.

Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018