081002-信号与信息处理

机器学习，鲁棒优化

2013-09--2019-06   中国科学院大学（培养单位：中国科学院信息工程研究所）   工学博士学位
2010-09--2013-01   北京航空航天大学   工程硕士学位
2005-09--2009-06   天津大学   理学学士学位

   

2019-09~2022-08,中国科学院大学, 博士后

   

[1] 许倩倩, 姜阳邦彦, 马坷, 杨智勇, 李朝鹏, 操晓春, 黄庆明. 基于多几何模型融合的结构一致性运动分割方法和系统. 202110220558.0, 2021-06-25.

   

[1] Gaozheng Pei, Ke Ma, Yingfei Sun, Qianqian Xu, Qingming Huang. Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain. International Conference on Machine Learning. 2025, 第 2 作者  通讯作者  null(null): 
[2] Gaozheng Pei, Shaojie Lyu, Gong Chen, Ke Ma, Qianqian Xu, Yingfei Sun, Qingming Huang. Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification. IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2025, 第 4 作者  通讯作者  null(null): https://arxiv.org/abs/2503.01407.
[3] Haoming Yang, Ke Ma, Xiaojun Jia, Yingfei Sun, 许倩倩, Qingming Huang. Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs. International Conference on Machine Learning. 2025, 第 2 作者  通讯作者  null(null): 
[4] Gaozheng Pei, Shaojie Lyu, Ke Ma, Pinci Yang, Qianqian Xu, Yingfei Sun. Exploring Query Efficient Data Generation towards Data-free Model Stealing in Hard Label Setting. AAAI Conference on Artificial Intelligence. 2025, 第 3 作者  通讯作者  null(null): https://arxiv.org/abs/2412.15276.
[5] Jia, Xiaojun, Zhang, Yong, Wei, Xingxing, Wu, Baoyuan, Ma, Ke, Wang, Jue, Cao, Xiaochun. Improving Fast Adversarial Training With Prior-Guided Knowledge. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2024, 第 5 作者46(9): 6367-6383, http://dx.doi.org/10.1109/TPAMI.2024.3381180.
[6] Ma, Ke, Xu, Qianqian, Zeng, Jinshan, Liu, Wei, Cao, Xiaochun, Sun, Yingfei, Huang, Qingming. Sequential Manipulation Against Rank Aggregation: Theory and Algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence[J]. 2024, 第 1 作者46(12): 9353-9370, http://dx.doi.org/10.1109/TPAMI.2024.3416710.
[7] IEEE Transactions on Pattern Analysis and Machine Intelligence. 2024, 第 5 作者
[8] Jiawei Liang, Siyuan Liang, Aishan Liu, Jingzhi Li, Ke Ma, Xiaochun Cao. Exploring Inconsistent Knowledge Distillation for Object Detection with Data Augmentation. ACM International Conference on Multimedia. 2023, 第 5 作者null(null): 
[9] Ma, Ke, Xu, Qianqian, Zeng, Jinshan, Li, Guorong, Cao, Xiaochun, Huang, Qingming. A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation Is the Fixed Point of Adversarial Game. IEEE Transactions on Pattern Analysis and Machine Intelligence[J]. 2023, 第 1 作者45(4): 4090-4108, http://arxiv.org/abs/2209.05742.
[10] Ma, Ke, Xu, Qianqian, Zeng, Jinshan, Cao, Xiaochun, Huang, Qingming. Poisoning Attack Against Estimating From Pairwise Comparisons. IEEE Transactions on Pattern Analysis and Machine Intelligence[J]. 2022, 第 1 作者44(10): 6393-6408, 
[11] Wenzheng Hou, Qianqian Xu, Ke Ma, Qianxiu Hao, Qingming Huang. Quaternion Ordinal Embedding. International Joint Conference on Artificial Intelligence. 2022, 第 3 作者null(null): 
[12] Xiaojun Jia, Yong Zhang, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao. LAS-AT: Adversarial Training with Learnable Attack Strategy. IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2022, 第 4 作者null(null): 
[13] Junyu Chen, Qianqian Xu, Zhiyong Yang, Ke Ma, Xiaochun Cao, Qingming Huang. Recurrent Meta-Learning against Generalized Cold-start problem in CTR Prediction. ACM International Conference on Multimedia. 2022, 第 4 作者null(null): 
[14] Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao. Prior-Guided Adversarial Initialization for Fast Adversarial Training. European Conference on Computer Vision Conference. 2022, 第 5 作者null(null): 
[15] Zitai Wang, Qianqian Xu, Ke Ma, Xiaochun Cao, Qingming Huang. Confederated Learning: Going Beyond Centralization. ACM International Conference on Multimedia. 2022, 第 3 作者null(null): 
[16] 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 Transactions on Knowledge and Data Engineering[J]. 2021, 第 1 作者33(6): 2467-2478, http://dx.doi.org/10.1109/TKDE.2019.2956700.
[17] Li, Zhaopeng, Xu, Qianqian, Jiang, Yangbangyan, Ma, Ke, Cao, Xiaochun, Huang, Qingming. Neural Collaborative Preference Learning With Pairwise Comparisons. IEEE Transactions on Multimedia[J]. 2021, 第 4 作者23: 1977-1989, http://dx.doi.org/10.1109/TMM.2020.3006373.
[18] Yangbangyan Jiang, Qianqian Xu, Ke Ma, Zhiyong Yang, Xiaochun Cao, Qingming Huang. What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models. AAAI Conference on Artificial Intelligence. 2021, 第 3 作者null(null): 
[19] Bao, Shilong, Xu, Qianqian, Ma, Ke, Yang, Zhiyong, Cao, Xiaochun, Huang, Qingming. Collaborative Preference Embedding against Sparse Labels. ACM International Conference on Multimedia. 2019, 第 3 作者null(null): 2079-2087, http://dx.doi.org/10.1145/3343031.3350915.
[20] Ma, Ke, Xu, Qianqian, Cao, Xiaochun. Robust Ordinal Embedding from Contaminated Relative Comparisons. AAAI Conference on Artificial Intelligence. 2019, 第 1 作者null(null): 7908-7915, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000486572502054.
[21] Zeng, Jinshan, Ma, Ke, Yao, Yuan. On Global Linear Convergence in Stochastic Nonconvex Optimization for Semidefinite Programming. IEEE TRANSACTIONS ON SIGNAL PROCESSING[J]. 2019, 第 2 作者67(16): 4261-4275, http://dx.doi.org/10.1109/TSP.2019.2925609.
[22] Ma, Ke, Xu, Qianqian, Yang, Zhiyong, Cao, Xiaochun. Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin. AAAI Conference on Artificial Intelligence. 2019, 第 1 作者null(null): 2978-2985, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485292602121.
[23] Wang, Zitai, Xu, Qianqian, Ma, Ke, Jiang, Yangbangyan, Cao, Xiaochun, Huang, Qingming. Adversarial Preference Learning with Pairwise Comparisons. ACM International Conference on Multimedia. 2019, 第 3 作者null(null): 656-664, http://dx.doi.org/10.1145/3343031.3350919.
[24] Ma, Ke, Zeng, Jinshan, Xiong, Jiechao, Xu, Qianqian, Cao, Xiaochun, Liu, Wei, Yao, Yuan. Stochastic Non-Convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size. AAAI Conference on Artificial Intelligence. 2018, 第 1 作者null(null): 3738-3745, https://www.webofscience.com/wos/woscc/full-record/WOS:000485488903102.
[25] Zeng, Jinshan, Ma, Ke, Yao, Yuan. Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction. International Conference on Artificial Intelligence and Statistics. 2018, 第 2 作者84(null): 
[26] 司震寰, 王宁, 马坷. 基于连续渗流的股票价格波动模型及实证分析. 天津理工大学学报[J]. 2012, 第 3 作者28(1): 72-75, http://lib.cqvip.com/Qikan/Article/Detail?id=41193909.

   

（ 1 ） 面向排序聚合的数据投毒攻击研究, 负责人, 国家任务, 2021-01--2023-12