791 citations · 2.5k across the 66 of their papers we have counts for
8 papers · 1 filter
Non-local Meets Global: An Integrated Paradigm for Hyperspectral Denoising
Wei He, Quanming Yao, Chao Li +2
Non-local low-rank tensor approximation has been developed as a state-of-the-art method for hyperspectral image (HSI) denoising. Unfortunately, with more spectral bands for HSI, wh…
Differential Private Stack Generalization with an Application to Diabetes Prediction
Quanming Yao, Xiawei Guo, James T. Kwok +4
To meet the standard of differential privacy, noise is usually added into the original data, which inevitably deteriorates the predicting performance of subsequent learning algorit…
Automated Machine Learning: From Principles to Practices
Zhenqian Shen, Yongqi Zhang, Lanning Wei +2
Machine learning (ML) methods have been developing rapidly, but configuring and selecting proper methods to achieve a desired performance is increasingly difficult and tedious. To…
FasTer: Fast Tensor Completion with Nonconvex Regularization
Quanming Yao, James T Kwok, Bo Han
Low-rank tensor completion problem aims to recover a tensor from limited observations, which has many real-world applications. Due to the easy optimization, the convex overlapping…
Online Convolutional Sparse Coding with Sample-Dependent Dictionary
Yaqing Wang, Quanming Yao, James T. Kwok +1
Convolutional sparse coding (CSC) has been popularly used for the learning of shift-invariant dictionaries in image and signal processing. However, existing methods have limited sc…
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
Bo Han, Quanming Yao, Xingrui Yu +5
Deep learning with noisy labels is practically challenging, as the capacity of deep models is so high that they can totally memorize these noisy labels sooner or later during train…
Millionaire: A Hint-guided Approach for Crowdsourcing
Bo Han, Quanming Yao, Yuangang Pan +4
Modern machine learning is migrating to the era of complex models, which requires a plethora of well-annotated data. While crowdsourcing is a promising tool to achieve this goal, e…
Side Information Fusion for Recommender Systems over Heterogeneous Information Network
Huan Zhao, Quanming Yao, Yangqiu Song +2
Collaborative filtering (CF) has been one of the most important and popular recommendation methods, which aims at predicting users' preferences (ratings) based on their past behavi…