Yan Chen

According to our database, Yan Chen authored at least 16 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Cross-Domain Coupling Network With Lightweight Fully Featured Mapping and Loop Aggregation for Semantic Segmentation of High-Resolution Remote Sensing Images.

Xiaofeng Wang, Bangwei Chen, Yan Chen, Qianchuan Zhang, Kehong Wang, Lixiang Xu, Chen Zhang, Le Zou

IEEE Trans. Geosci. Remote. Sens., 2025

Axis-Squeeze and Multirouting Scale-Adaptive Fusion Network for Remote Sensing Images Object Detection.

Yan Chen, Qi Gu, Xiaofeng Wang, Xinlu Shi, Lixiang Xu, Chen Zhang

IEEE Trans. Geosci. Remote. Sens., 2025

2024

AANet: Adaptive Attention Networks for Semantic Segmentation of High-Resolution Remote Sensing Imagery.

Yan Chen, Qianchuan Zhang, Xiaofeng Wang, Quan Dong, Menglei Kang, Wenxiang Jiang, Mengyuan Wang, Lixiang Xu, Chen Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Hybrid Attention Fusion Embedded in Transformer for Remote Sensing Image Semantic Segmentation.

Yan Chen, Quan Dong, Xiaofeng Wang, Qianchuan Zhang, Menglei Kang, Wenxiang Jiang, Mengyuan Wang, Lixiang Xu, Chen Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023

Adaptive Local Cross-Channel Vector Pooling Attention Module for Semantic Segmentation of Remote Sensing Imagery.

Xiaofeng Wang, Menglei Kang, Yan Chen, Wenxiang Jiang, Mengyuan Wang, Thomas Weise, Ming Tan, Lixiang Xu, Xinlu Li, Le Zou, Chen Zhang

Remote. Sens., April, 2023

Frequency Fitness Assignment: Optimization Without Bias for Good Solutions Can Be Efficient.

Thomas Weise, Zhize Wu, Xinlu Li, Yan Chen, Jörg Lässig

IEEE Trans. Evol. Comput., 2023

UGTransformer: Unsupervised Graph Transformer Representation Learning.

Lixiang Xu, Haifeng Liu, Qingzhe Cui, Bin Luo, Ning Li, Yan Chen, Yuanyan Tang

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

LightFGCNet: A Lightweight and Focusing on Global Context Information Semantic Segmentation Network for Remote Sensing Imagery.

Yan Chen, Wenxiang Jiang, Mengyuan Wang, Menglei Kang, Thomas Weise, Xiaofeng Wang, Ming Tan, Lixiang Xu, Xinlu Li, Chen Zhang

Remote. Sens., December, 2022

Gaussian process image classification based on multi-layer convolution kernel function.

Lixiang Xu, Biao Zhou, Xinlu Li, Zhize Wu, Yan Chen, Xiaofeng Wang, Yuanyan Tang

Neurocomputing, 2022

2021

Frequency Fitness Assignment: Making Optimization Algorithms Invariant Under Bijective Transformations of the Objective Function Value.

Thomas Weise, Zhize Wu, Xinlu Li, Yan Chen

IEEE Trans. Evol. Comput., 2021

Solving job shop scheduling problems without using a bias for good solutions.

Thomas Weise, Xinlu Li, Yan Chen, Zhize Wu

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

The Experimental Data for the Study "Frequency Fitness Assignment: Making Optimization Algorithms Invariant under Bijective Transformations of the Objective Function Value".

Thomas Weise, Zhize Wu, Xinlu Li, Yan Chen

Dataset, January, 2020

The Experimental Data for the Study "Frequency Fitness Assignment: Making Optimization Algorithms Invariant under Bijective Transformations of the Objective Function".

Thomas Weise, Zhize Wu, Xinlu Li, Yan Chen

Dataset, January, 2020

Frequency Fitness Assignment: Making Optimization Algorithms Invariant under Bijective Transformations of the Objective Function.

Thomas Weise, Zhize Wu, Xinlu Li, Yan Chen

CoRR, 2020

A benchmark data set for aircraft type recognition from remote sensing images.

Zhize Wu, Shouhong Wan, Xiao-Feng Wang, Ming Tan, Le Zou, Xinlu Li, Yan Chen

Appl. Soft Comput., 2020

Selecting a diverse set of benchmark instances from a tunable model problem for black-box discrete optimization algorithms.

Thomas Weise, Yan Chen, Xinlu Li, Zhize Wu

Appl. Soft Comput., 2020