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Ye, Shaokai

  1. Adversarial Robustness vs Model Compression, or Both?
    2019/03/29 by Ye, Shaokai, Xu, Kaidi, Liu, Sijia +6 · 6 citations
    #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  2. Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink
    2021/03/11 by Ranjie Duan, Duan, Ranjie, Xiaofeng Mao +11 · 4 citations
    Computer Science · Physics and Astronomy · Engineering · #Adversarial Robustness in Machine Learning #Advanced Optical Sensing Technologies #Integrated Circuits and Semiconductor Failure Analysis
  3. StructADMM: A Systematic, High-Efficiency Framework of Structured Weight Pruning for DNNs
    2018/07/29 by Zhang, Tianyun, Ye, Shaokai, Zhang, Kaiqi +8 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  4. Towards Robust Vision Transformer
    2021/05/17 by Mao, Xiaofeng, Qi, Gege, Chen, Yuefeng +5 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  5. Enhance the Visual Representation via Discrete Adversarial Training
    2022/09/16 by Xiaofeng Mao, Yuefeng Chen, Mao, Xiaofeng +15 · 2 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #Image Processing Techniques and Applications
  6. ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers
    2018/12/31 by Ren, Ao, Zhang, Tianyun, Ye, Shaokai +5 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG)
  7. Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM
    2019/03/23 by Shaokai Ye, Ye, Shaokai, Xiaoyu Feng +26 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Neural and Evolutionary Computing (cs.NE) #Speech and Audio Processing
  8. Non-Structured DNN Weight Pruning -- Is It Beneficial in Any Platform?
    2019/07/03 by Ma, Xiaolong, Lin, Sheng, Ye, Shaokai +10 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
  9. QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval
    2021/03/04 by Li, Xiaodan, Li, Jinfeng, Chen, Yuefeng +5 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  10. LLaVAction: evaluating and training multi-modal large language models for action recognition
    2025/03/24 by Ye, Shaokai, Qi, Haozhe, Mathis, Alexander +1 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  11. PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN Accelerators
    2020/02/11 by Zhanhong Tan, Jiebo Song, Tan, Zhanhong +19 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Human Pose and Action Recognition