Xu Chen

Journal Article ACM Transactions on Intelligent Systems and Technology · June 18, 2024 Graph-based semi-supervised learning plays an important role in large scale image classification tasks. However, the problem becomes very challenging in the presence of noisy labels and outliers. Moreover, traditional robust semi-supervised learning soluti ... Full text Open Access Cite

Robust Semisupervised Deep Generative Model Under Compound Noise.

Journal Article IEEE transactions on neural networks and learning systems · March 2023 Semisupervised learning has been widely applied to deep generative model such as variational autoencoder. However, there are still limited work in noise-robust semisupervised deep generative model where the noise exists in both of the data and the labels s ... Full text Cite

A Unified Framework for Automatic Distributed Active Learning.

Journal Article IEEE transactions on pattern analysis and machine intelligence · December 2022 We propose a novel unified frameork for automated distributed active learning (AutoDAL) to address multiple challenging problems in active learning such as limited labeled data, imbalanced datasets, automatic hyperparameter selection as well as scalability ... Full text Cite

AutoDAL: Distributed Active Learning with Automatic Hyperparameter Selection

Journal Article Proceedings of the AAAI Conference on Artificial Intelligence · April 3, 2020 Automated machine learning (AutoML) strives to establish an appropriate machine learning model for any dataset automatically with minimal human intervention. Although extensive research has been conducted on AutoML, most of it has focused on superv ... Full text Cite