activity
20202022
most citedTwo-Phase Object-Based Deep Learning for Multi-temporal SAR Image Change Detection

3 citations · 8 across the 10 of their papers we have counts for

collaborators

10 papers

cs.LG20221 cited

Overlapping oriented imbalanced ensemble learning method based on projective clustering and stagewise hybrid sampling

Fan Li, Bo Wang, Pin Wang +1

The challenge of imbalanced learning lies not only in class imbalance problem, but also in the class overlapping problem which is complex. However, most of the existing algorithms…

cs.LG2022

A new Stack Autoencoder: Neighbouring Sample Envelope Embedded Stack Autoencoder Ensemble Model

Chuanyan Zhou, Jie Ma, Fan Li +3

Stack autoencoder (SAE), as a representative deep network, has unique and excellent performance in feature learning, and has received extensive attention from researchers. However,…

cs.AI2021

Envelope Imbalance Learning Algorithm based on Multilayer Fuzzy C-means Clustering and Minimum Interlayer discrepancy

Fan Li, Xiaoheng Zhang, Pin Wang +1

Imbalanced learning is important and challenging since the problem of the classification of imbalanced datasets is prevalent in machine learning and data mining fields. Sampling ap…

cs.SD20211 cited

Subject Envelope based Multitype Reconstruction Algorithm of Speech Samples of Parkinson's Disease

Yongming Li, Chengyu Liu, Pin Wang +2

The risk of Parkinson's disease (PD) is extremely serious, and PD speech recognition is an effective method of diagnosis nowadays. However, due to the influence of the disease stag…

eess.IV2021

FA-GAN: Fused Attentive Generative Adversarial Networks for MRI Image Super-Resolution

Mingfeng Jiang, Minghao Zhi, Liying Wei +6

High-resolution magnetic resonance images can provide fine-grained anatomical information, but acquiring such data requires a long scanning time. In this paper, a framework called…

cs.CV2021

Integrated Age Estimation Mechanism

Fan Li, Yongming Li, Pin Wang +3

Machine-learning-based age estimation has received lots of attention. Traditional age estimation mechanism focuses estimation age error, but ignores that there is a deviation betwe…