Cheng Meng

1. Efficient Approximation of Gromov-Wasserstein Distance Using Importance Sparsification
   2022/05/26 by Mengyu Li, Li, Mengyu, Jun Yu +5 · 4 citations
   Engineering · #3D Shape Modeling and Analysis #Advanced Numerical Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Imaging and Analysis #Methodology (stat.ME)
2. Modern Subsampling Methods for Large-Scale Least Squares Regression
   2021/05/04 by Tao Li, Li, Tao, Cheng Meng +1 · 2 citations
   Engineering · #FOS: Computer and information sciences #Industrial Vision Systems and Defect Detection #Methodology (stat.ME) #Mineral Processing and Grinding #Sparse and Compressive Sensing Techniques
3. Core-Elements for Large-Scale Least Squares Estimation
   2022/06/21 by Mengyu Li, Jun Yu, Li, Mengyu +5 · 2 citations
   Engineering · Mathematics · #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Advanced Statistical Methods and Models
4. Gaussian Herding across Pens: An Optimal Transport Perspective on Global Gaussian Reduction for 3DGS
   2025/06/11 by Tao Wang, Wang, Tao, Mengyu Li +6 · 2 citations
   Computer Science · Engineering · #3D Shape Modeling and Analysis #Advanced Vision and Imaging #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #I.4.5
5. Leverage classifier: Another look at support vector machine
   2023/08/23 by Yi-Xin Han, Han, Yixin, Jun Yu +11 · 1 citation
   Computer Science · Engineering · #FOS: Computer and information sciences #Face and Expression Recognition #Fault Detection and Control Systems #Machine Learning and ELM #Methodology (stat.ME)
6. An optimal transport approach for selecting a representative subsample with application in efficient kernel density estimation
   2022/05/31 by Jingyi Zhang, Zhang, Jingyi, Cheng Meng +9 · 1 citation
   Computer Science · #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistics Theory (math.ST) #Target Tracking and Data Fusion in Sensor Networks