1 citations · 1 across the 7 of their papers we have counts for
7 papers
Bi-Level Collaborative Learning for Few-Shot Scribble-Supervised Medical Image Segmentation
Xiang-Xiang Su, Yufan Ye, Yihang Zheng +2
Scribble annotations offer an efficient alternative to costly pixel-wise labeling for medical image segmentation, yet in real clinical scenarios, scribble-annotated samples are oft…
A Saddle Point Remedy: Power of Variable Elimination in Non-convex Optimization
Min Gan, Guang-Yong Chen, Yang Yi +1
The proliferation of saddle points, rather than poor local minima, is increasingly understood to be a primary obstacle in large-scale non-convex optimization for machine learning.…
Efficient Learnable Collaborative Attention for Single Image Super-Resolution
Yigang Zhao Chaowei Zheng, Jiannan Su, GuangyongChen +1
Non-Local Attention (NLA) is a powerful technique for capturing long-range feature correlations in deep single image super-resolution (SR). However, NLA suffers from high computati…
Variable Projection Algorithms: Theoretical Insights and A Novel Approach for Problems with Large Residual
Guangyong Chen, Peng Xue, Min Gan +3
This paper delves into an in-depth exploration of the Variable Projection (VP) algorithm, a powerful tool for solving separable nonlinear optimization problems across multiple doma…
Online Learning Under A Separable Stochastic Approximation Framework
Min Gan, Xiang-xiang Su, Guang-yong Chen +1
We propose an online learning algorithm for a class of machine learning models under a separable stochastic approximation framework. The essence of our idea lies in the observation…
Properties and Potential Applications of Random Functional-Linked Types of Neural Networks
Guang-Yong Chen, Yong-Hang Yu, Min Gan +2
Random functional-linked types of neural networks (RFLNNs), e.g., the extreme learning machine (ELM) and broad learning system (BLS), which avoid suffering from a time-consuming tr…
Embedded Point Iteration Based Recursive Algorithm for Online Identification of Nonlinear Regression Models
Guang-Yong Chen, Min Gan, Jing Chen +1
This paper presents a novel online identification algorithm for nonlinear regression models. The online identification problem is challenging due to the presence of nonlinear struc…