Ke Ma - RankMe

49 papers A* 17A 1Journal 29Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ODAR: Principled Adaptive Routing for LLM Reasoning via Active Inference. CoRR Siyuan Ma, Bo Gao, Xiaojun Jia, Simeng Qin, Tianlin Li, Ke Ma, Xiaoshuang Jia, Wenqi Ren, Yang Liu
2025	A*	`conf`	A Unified Framework for Stealthy Adversarial Generation via Latent Optimization and Transferability Enhancement. ACM Multimedia Gaozheng Pei, Ke Ma, Dongpeng Zhang, Chengzhi Sun, Qianqian Xu, Qingming Huang
2025	J	`jnl`	A Unified Framework for Stealthy Adversarial Generation via Latent Optimization and Transferability Enhancement. CoRR Gaozheng Pei, Ke Ma, Dongpeng Zhang, Chengzhi Sun, Qianqian Xu, Qingming Huang
2025	A*	`conf`	Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs. ICML Haoming Yang, Ke Ma, Xiaojun Jia, Yingfei Sun, Qianqian Xu, Qingming Huang
2025	J	`jnl`	Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs. CoRR Haoming Yang, Ke Ma, Xiaojun Jia, Yingfei Sun, Qianqian Xu, Qingming Huang
2025	A*	`conf`	Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain. ICML Gaozheng Pei, Ke Ma, Yingfei Sun, Qianqian Xu, Qingming Huang
2025	J	`jnl`	Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain. CoRR Gaozheng Pei, Ke Ma, Yingfei Sun, Qianqian Xu, Qingming Huang
2025	A*	`conf`	Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification. CVPR Gaozheng Pei, Shaojie Lyu, Gong Chen, Ke Ma, Qianqian Xu, Yingfei Sun, Qingming Huang
2025	J	`jnl`	Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification. CoRR Gaozheng Pei, Shaojie Lyu, Gong Chen, Ke Ma, Qianqian Xu, Yingfei Sun, Qingming Huang
2025	J	`jnl`	Evolution-based Region Adversarial Prompt Learning for Robustness Enhancement in Vision-Language Models. CoRR Xiaojun Jia, Sensen Gao, Simeng Qin, Ke Ma, Xinfeng Li, Yihao Huang, Wei Dong, Yang Liu, Xiaochun Cao
2025	A*	`conf`	Exploring Query Efficient Data Generation Towards Data-Free Model Stealing in Hard Label Setting. AAAI Gaozheng Pei, Shaojie Lyu, Ke Ma, Pinci Yang, Qianqian Xu, Yingfei Sun
2025	J	`jnl`	Learn Faster and Remember More: Balancing Exploration and Exploitation for Continual Test-time Adaptation. CoRR Pinci Yang, Peisong Wen, Ke Ma, Qianqian Xu
2025	J	`jnl`	Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025. CoRR Zonghao Ying, Siyang Wu, Run Hao, Peng Ying, Shixuan Sun, Pengyu Chen, Junze Chen, Hao Du, Kaiwen Shen, Shangkun Wu, Jiwei Wei, Shiyuan He, Yang Yang, Xiaohai Xu, Ke Ma, Qianqian Xu, Qingming Huang, Shi Lin, Xun Wang, Changting Lin, Meng Han, Yilei Jiang, Siqi Lai, Yaozhi Zheng, Yifei Song, Xiangyu Yue, Zonglei Jing, Tianyuan Zhang, Zhilei Zhu, Aishan Liu, Jiakai Wang, Siyuan Liang, Xianglong Kong, Hainan Li, Junjie Mu, Haotong Qin, Yue Yu, Lei Chen, Felix Juefei-Xu, Qing Guo, Xinyun Chen, Yew Soon Ong, Xianglong Liu, Dawn Song, Alan L. Yuille, Philip Torr, Dacheng Tao
2025	J	`jnl`	Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack. IEEE Trans. Pattern Anal. Mach. Intell. Xiaojun Jia, Sensen Gao, Qing Guo, Simeng Qin, Ke Ma, Yihao Huang, Yang Liu, Ivor W. Tsang, Xiaochun Cao
2024	J	`jnl`	Exploring Query Efficient Data Generation towards Data-free Model Stealing in Hard Label Setting. CoRR Gaozheng Pei, Shaojie Lyu, Ke Ma, Pinci Yang, Qianqian Xu, Yingfei Sun
2024	J	`jnl`	Improving Fast Adversarial Training With Prior-Guided Knowledge. IEEE Trans. Pattern Anal. Mach. Intell. Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao
2024	J	`jnl`	Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack. CoRR Xiaojun Jia, Sensen Gao, Qing Guo, Ke Ma, Yihao Huang, Simeng Qin, Yang Liu, Ivor W. Tsang, Xiaochun Cao
2024	J	`jnl`	Sequential Manipulation Against Rank Aggregation: Theory and Algorithm. CoRR Ke Ma, Qianqian Xu, Jinshan Zeng, Wei Liu, Xiaochun Cao, Yingfei Sun, Qingming Huang
2024	J	`jnl`	Sequential Manipulation Against Rank Aggregation: Theory and Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. Ke Ma, Qianqian Xu, Jinshan Zeng, Wei Liu, Xiaochun Cao, Yingfei Sun, Qingming Huang
2023	J	`jnl`	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. Ke Ma, Qianqian Xu, Jinshan Zeng, Guorong Li, Xiaochun Cao, Qingming Huang
2023	A*	`conf`	Exploring Inconsistent Knowledge Distillation for Object Detection with Data Augmentation. ACM Multimedia Jiawei Liang, Siyuan Liang, Aishan Liu, Ke Ma, Jingzhi Li, Xiaochun Cao
2023	J	`jnl`	Improving Fast Adversarial Training with Prior-Guided Knowledge. CoRR Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao
2022	J	`jnl`	A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation Is the Fixed Point of Adversarial Game. CoRR Ke Ma, Qianqian Xu, Jinshan Zeng, Guorong Li, Xiaochun Cao, Qingming Huang
2022	A*	`conf`	Confederated Learning: Going Beyond Centralization. ACM Multimedia Zitai Wang, Qianqian Xu, Ke Ma, Xiaochun Cao, Qingming Huang
2022	A*	`conf`	LAS-AT: Adversarial Training with Learnable Attack Strategy. CVPR Xiaojun Jia, Yong Zhang, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao
2022	J	`jnl`	LAS-AT: Adversarial Training with Learnable Attack Strategy. CoRR Xiaojun Jia, Yong Zhang, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao
2022	—	`conf`	Learning an Isometric Surface Parameterization for Texture Unwrapping. ECCV (37) Sagnik Das, Ke Ma, Zhixin Shu, Dimitris Samaras
2022	J	`jnl`	Poisoning Attack Against Estimating From Pairwise Comparisons. IEEE Trans. Pattern Anal. Mach. Intell. Ke Ma, Qianqian Xu, Jinshan Zeng, Xiaochun Cao, Qingming Huang
2022	—	`conf`	Prior-Guided Adversarial Initialization for Fast Adversarial Training. ECCV (4) Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao
2022	J	`jnl`	Prior-Guided Adversarial Initialization for Fast Adversarial Training. CoRR Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao
2022	A*	`conf`	Quaternion Ordinal Embedding. IJCAI Wenzheng Hou, Qianqian Xu, Ke Ma, Qianxiu Hao, Qingming Huang
2022	A*	`conf`	Recurrent Meta-Learning against Generalized Cold-start Problem in CTR Prediction. ACM Multimedia Junyu Chen, Qianqian Xu, Zhiyong Yang, Ke Ma, Xiaochun Cao, Qingming Huang
2021	J	`jnl`	Fast Stochastic Ordinal Embedding With Variance Reduction and Adaptive Step Size. IEEE Trans. Knowl. Data Eng. Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao
2021	J	`jnl`	Neural Collaborative Preference Learning With Pairwise Comparisons. IEEE Trans. Multim. Zhaopeng Li, Qianqian Xu, Yangbangyan Jiang, Ke Ma, Xiaochun Cao, Qingming Huang
2021	J	`jnl`	On Stochastic Variance Reduced Gradient Method for Semidefinite Optimization. CoRR Jinshan Zeng, Yixuan Zha, Ke Ma, Yuan Yao
2021	J	`jnl`	Poisoning Attack against Estimating from Pairwise Comparisons. CoRR Ke Ma, Qianqian Xu, Jinshan Zeng, Xiaochun Cao, Qingming Huang
2021	A*	`conf`	What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models. AAAI Yangbangyan Jiang, Qianqian Xu, Ke Ma, Zhiyong Yang, Xiaochun Cao, Qingming Huang
2019	A*	`conf`	Adversarial Preference Learning with Pairwise Comparisons. ACM Multimedia Zitai Wang, Qianqian Xu, Ke Ma, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang
2019	A*	`conf`	Collaborative Preference Embedding against Sparse Labels. ACM Multimedia Shilong Bao, Qianqian Xu, Ke Ma, Zhiyong Yang, Xiaochun Cao, Qingming Huang
2019	J	`jnl`	Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size. CoRR Ke Ma, Jinshan Zeng, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao
2019	A*	`conf`	Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin. AAAI Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao
2019	J	`jnl`	On Global Linear Convergence in Stochastic Nonconvex Optimization for Semidefinite Programming. IEEE Trans. Signal Process. Jinshan Zeng, Ke Ma, Yuan Yao
2019	A*	`conf`	Robust Ordinal Embedding from Contaminated Relative Comparisons. AAAI Ke Ma, Qianqian Xu, Xiaochun Cao
2018	A*	`conf`	DocUNet: Document Image Unwarping via a Stacked U-Net. CVPR Ke Ma, Zhixin Shu, Xue Bai, Jue Wang, Dimitris Samaras
2018	A	`conf`	Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction. AISTATS Jinshan Zeng, Ke Ma, Yuan Yao
2018	J	`jnl`	Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin. CoRR Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao
2018	J	`jnl`	Robust Ordinal Embedding from Contaminated Relative Comparisons. CoRR Ke Ma, Qianqian Xu, Xiaochun Cao
2018	A*	`conf`	Stochastic Non-Convex Ordinal Embedding With Stabilized Barzilai-Borwein Step Size. AAAI Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao
2017	J	`jnl`	Stochastic Non-convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size. CoRR Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao