Stochastic Non-Convex Ordinal Embedding With Stabilized Barzilai-Borwein Step Size. - Ke Ma 001; Jinshan Zeng; Jiechao Xiong; Qianqian Xu; Xiaochun Cao; Wei Liu 005; Yuan Yao 011 (AAAI, 2018)

Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction. - Jinshan Zeng; Ke Ma 001; Yuan Yao 011 (AISTATS, 2018)

DocUNet: Document Image Unwarping via a Stacked U-Net. - Ke Ma 001; Zhixin Shu; Xue Bai; Jue Wang 001; Dimitris Samaras (CVPR, 2018)

Robust Ordinal Embedding from Contaminated Relative Comparisons. - Ke Ma 001; Qianqian Xu; Xiaochun Cao (AAAI, 2019)

Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin. - Ke Ma 001; Qianqian Xu; Zhiyong Yang 001; Xiaochun Cao (AAAI, 2019)

Collaborative Preference Embedding against Sparse Labels. - Shilong Bao; Qianqian Xu; Ke Ma 001; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (ACM Multimedia, 2019)

Adversarial Preference Learning with Pairwise Comparisons. - Zitai Wang; Qianqian Xu; Ke Ma 001; Yangbangyan Jiang; Xiaochun Cao; Qingming Huang (ACM Multimedia, 2019)

Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size. - Ke Ma 001; Jinshan Zeng; Qianqian Xu; Xiaochun Cao; Wei Liu 005; Yuan Yao 011 (CoRR, 2019)

On Global Linear Convergence in Stochastic Nonconvex Optimization for Semidefinite Programming. - Jinshan Zeng; Ke Ma 001; Yuan Yao 011 (IEEE Trans. Signal Process., 2019)

What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models. - Yangbangyan Jiang; Qianqian Xu; Ke Ma 001; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (AAAI, 2021)

On Stochastic Variance Reduced Gradient Method for Semidefinite Optimization. - Jinshan Zeng; Yixuan Zha; Ke Ma 001; Yuan Yao 011 (CoRR, 2021)

Fast Stochastic Ordinal Embedding With Variance Reduction and Adaptive Step Size. - Ke Ma 001; Jinshan Zeng; Jiechao Xiong; Qianqian Xu; Xiaochun Cao; Wei Liu 005; Yuan Yao 011 (IEEE Trans. Knowl. Data Eng., 2021)

Neural Collaborative Preference Learning With Pairwise Comparisons. - Zhaopeng Li; Qianqian Xu; Yangbangyan Jiang; Ke Ma 001; Xiaochun Cao; Qingming Huang (IEEE Trans. Multim., 2021)

LAS-AT: Adversarial Training with Learnable Attack Strategy. - Xiaojun Jia; Yong Zhang 034; Baoyuan Wu; Ke Ma 001; Jue Wang 001; Xiaochun Cao (CVPR, 2022)

Learning an Isometric Surface Parameterization for Texture Unwrapping. - Sagnik Das; Ke Ma 001; Zhixin Shu; Dimitris Samaras (ECCV (37), 2022)

Prior-Guided Adversarial Initialization for Fast Adversarial Training. - Xiaojun Jia; Yong Zhang 034; Xingxing Wei 001; Baoyuan Wu; Ke Ma 001; Jue Wang 001; Xiaochun Cao (ECCV (4), 2022)

Quaternion Ordinal Embedding. - Wenzheng Hou; Qianqian Xu; Ke Ma 001; Qianxiu Hao; Qingming Huang (IJCAI, 2022)

Recurrent Meta-Learning against Generalized Cold-start Problem in CTR Prediction. - Junyu Chen; Qianqian Xu; Zhiyong Yang 001; Ke Ma 001; Xiaochun Cao; Qingming Huang (ACM Multimedia, 2022)

Confederated Learning: Going Beyond Centralization. - Zitai Wang; Qianqian Xu; Ke Ma 001; Xiaochun Cao; Qingming Huang (ACM Multimedia, 2022)

Poisoning Attack Against Estimating From Pairwise Comparisons. - Ke Ma 001; Qianqian Xu; Jinshan Zeng; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Exploring Inconsistent Knowledge Distillation for Object Detection with Data Augmentation. - Jiawei Liang; Siyuan Liang; Aishan Liu; Ke Ma 001; Jingzhi Li 002; Xiaochun Cao (ACM Multimedia, 2023)

A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation is the Fixed Point of Adversarial Game. - Ke Ma 001; Qianqian Xu; Jinshan Zeng; Guorong Li; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack. - Xiaojun Jia; Sensen Gao; Qing Guo 005; Ke Ma 001; Yihao Huang 001; Simeng Qin; Yang Liu 003; Ivor W. Tsang; Xiaochun Cao (CoRR, 2024)

Improving Fast Adversarial Training With Prior-Guided Knowledge. - Xiaojun Jia; Yong Zhang 034; Xingxing Wei 001; Baoyuan Wu; Ke Ma 001; Jue Wang 001; Xiaochun Cao (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Sequential Manipulation Against Rank Aggregation: Theory and Algorithm. - Ke Ma 001; Qianqian Xu; Jinshan Zeng; Wei Liu 005; Xiaochun Cao; Yingfei Sun; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Exploring Query Efficient Data Generation Towards Data-Free Model Stealing in Hard Label Setting. - Gaozheng Pei; Shaojie Lyu; Ke Ma 001; Pinci Yang; Qianqian Xu; Yingfei Sun (AAAI, 2025)

Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification. - Gaozheng Pei; Shaojie Lyu; Gong Chen; Ke Ma 001; Qianqian Xu; Yingfei Sun; Qingming Huang (CVPR, 2025)

Evolution-based Region Adversarial Prompt Learning for Robustness Enhancement in Vision-Language Models. - Xiaojun Jia; Sensen Gao; Simeng Qin; Ke Ma 001; Xinfeng Li; Yihao Huang 001; Wei Dong; Yang Liu 003; Xiaochun Cao (CoRR, 2025)

Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain. - Gaozheng Pei; Ke Ma 001; Yingfei Sun; Qianqian Xu; Qingming Huang (CoRR, 2025)

Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs. - Haoming Yang; Ke Ma 001; Xiaojun Jia; Yingfei Sun; Qianqian Xu; Qingming Huang (CoRR, 2025)

A Unified Framework for Stealthy Adversarial Generation via Latent Optimization and Transferability Enhancement. - Gaozheng Pei; Ke Ma 001; Dongpeng Zhang; Chengzhi Sun; Qianqian Xu; Qingming Huang (CoRR, 2025)

Learn Faster and Remember More: Balancing Exploration and Exploitation for Continual Test-time Adaptation. - Pinci Yang; Peisong Wen; Ke Ma 001; Qianqian Xu (CoRR, 2025)