Ma, Ke

20 publications

ICML 2025 Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs Haoming Yang, Ke Ma, Xiaojun Jia, Yingfei Sun, Qianqian Xu, Qingming Huang

ICML 2025 Diffusion-Based Adversarial Purification from the Perspective of the Frequency Domain Gaozheng Pei, Ke Ma, Yingfei Sun, Qianqian Xu, Qingming Huang

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

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

CVPR 2025 SURGEON: Memory-Adaptive Fully Test-Time Adaptation via Dynamic Activation Sparsity Ke Ma, Jiaqi Tang, Bin Guo, Fan Dang, Sicong Liu, Zhui Zhu, Lei Wu, Cheng Fang, Ying-Cong Chen, Zhiwen Yu, Yunhao Liu

CVPR 2025 SnapGen-V: Generating a Five-Second Video Within Five Seconds on a Mobile Device Yushu Wu, Zhixing Zhang, Yanyu Li, Yanwu Xu, Anil Kag, Yang Sui, Huseyin Coskun, Ke Ma, Aleksei Lebedev, Ju Hu, Dimitris N. Metaxas, Yanzhi Wang, Sergey Tulyakov, Jian Ren

NeurIPS 2024 HAWK: Learning to Understand Open-World Video Anomalies Jiaqi Tang, Hao Lu, Ruizheng Wu, Xiaogang Xu, Ke Ma, Cheng Fang, Bin Guo, Jiangbo Lu, Qifeng Chen, Ying-Cong Chen

NeurIPS 2024 Slicing Vision Transformer for Flexible Inference Yitian Zhang, Huseyin Coskun, Xu Ma, Huan Wang, Ke Ma, Xi Chen, Derek Hao Hu, Yun Fu

ECCV 2024 Towards Dual Transparent Liquid Level Estimation in Biomedical Lab: Dataset, Methods and Practice Xiayu Wang, Ke Ma, Ruiyun Zhong, Xinggang Wang, Yi Fang, Yang Xiao, Tian Xia

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

ECCV 2022 Learning an Isometric Surface Parameterization for Texture Unwrapping Sagnik Das, Ke Ma, Zhixin Shu, Dimitris Samaras

ECCV 2022 Prior-Guided Adversarial Initialization for Fast Adversarial Training Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao

IJCAI 2022 Quaternion Ordinal Embedding Wenzheng Hou, Qianqian Xu, Ke Ma, Qianxiu Hao, Qingming Huang

CVPRW 2021 A Joint Spatial and Magnification Based Attention Framework for Large Scale Histopathology Classification Jingwei Zhang, Ke Ma, John S. Van Arnam, Rajarsi Gupta, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras

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

AAAI 2019 Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao

AAAI 2019 Robust Ordinal Embedding from Contaminated Relative Comparisons Ke Ma, Qianqian Xu, Xiaochun Cao

AISTATS 2018 Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction Jinshan Zeng, Ke Ma, Yuan Yao

AAAI 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

WACV 2016 Texture Classification for Rail Surface Condition Evaluation Ke Ma, Tomas F. Yago Vicente, Dimitris Samaras, Michael Petrucci, Daniel L. Magnus