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Yin, Penghang

  1. Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets
    2019/03/13 by Penghang Yin, Yin, Penghang, Jiancheng Lyu +9 · 44 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Machine Learning and ELM
  2. Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks
    2018/08/15 by Penghang Yin, Shuai Zhang, Yin, Penghang +9 · 4 citations
    Computer Science · Medicine · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  3. Transformed Schatten-1 Iterative Thresholding Algorithms for Low Rank Matrix Completion
    2015/06/14 by Zhang, Shuai, Yin, Penghang, Xin, Jack · 2 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Optimization and Control (math.OC)
  4. BinaryRelax: A Relaxation Approach For Training Deep Neural Networks With Quantized Weights
    2018/01/19 by Penghang Yin, Yin, Penghang, Shuai Zhang +9 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Multimodal Machine Learning Applications #Optimization and Control (math.OC)
  5. MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization
    2024/06/02 by Zhang, Aozhong, Wang, Naigang, Deng, Yanxia +3 · 5 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  6. COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization
    2024/03/11 by Zhang, Aozhong, Yang, Zi, Wang, Naigang +4 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  7. PhaseLiftOff: an Accurate and Stable Phase Retrieval Method Based on Difference of Trace and Frobenius Norms
    2014/06/26 by Penghang Yin, Yin, Penghang, Jack Xin +1 · 1 citation
    Computer Science · Materials Science · Physics and Astronomy · #Advanced X-ray Imaging Techniques #Electron and X-Ray Spectroscopy Techniques #FOS: Mathematics #Optical measurement and interference techniques #Optimization and Control (math.OC)
  8. Deep Learning for Real-Time Crime Forecasting and its Ternarization
    2017/11/23 by Bao Wang, Wang, Bao, Penghang Yin +9 · 2 citations
    Computer Science · #62-07 #Anomaly Detection Techniques and Applications #Data Visualization and Analytics #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Time Series Analysis and Forecasting
  9. Non-ergodic Convergence Analysis of Heavy-Ball Algorithms
    2018/11/05 by Sun, Tao, Yin, Penghang, Li, Dongsheng +3 · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  10. Learning Quantized Neural Nets by Coarse Gradient Method for Non-linear Classification
    2020/11/23 by Ziang Long, Long, Ziang, Penghang Yin +3 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Machine Learning and ELM
  11. Laplacian Smoothing Gradient Descent
    2018/06/17 by Stanley Osher, Osher, Stanley, Bao Wang +10 · 3 citations
    Computer Science · Engineering · Physics and Astronomy · #65-06 #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  12. Feature Affinity Assisted Knowledge Distillation and Quantization of Deep Neural Networks on Label-Free Data
    2023/02/10 by Zhijian Li, Yang Biao, Li, Zhijian +7 · 1 citation
    Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Image Processing Techniques and Applications #Information Theory (cs.IT) #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
  13. Recurrence of Optimum for Training Weight and Activation Quantized Networks
    2020/12/10 by Long, Ziang, Yin, Penghang, Xin, Jack · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  14. CLoQ: Enhancing Fine-Tuning of Quantized LLMs via Calibrated LoRA Initialization
    2025/01/30 by Yanxia Deng, Aozhong Zhang, Deng, Yanxia +9 · 1 citation
    Medicine · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Imaging Techniques and Applications