Penghang Yin

1. Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets
   2019/03/13 by Penghang Yin, Yin, Penghang, Jiancheng Lyu +9 · 38 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. 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)
4. 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
5. Learning Quantized Neural Nets by Coarse Gradient Method for Non-linear Classification
   2020/11/23 by Ziang Long, Penghang Yin, Long, Ziang +3 · 1 citation
   Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Machine Learning and ELM
6. 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)
7. Laplacian Smoothing Gradient Descent
   2018/06/17 by Stanley Osher, Osher, Stanley, Bao Wang +10 · 2 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