Wanxuan Lu

According to our database, Wanxuan Lu authored at least 26 papers between 2010 and 2025.

Collaborative distances:

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

2025

Multibranch Mutual-Guiding Learning for Infrared Small Target Detection.

Qiang Li, Wei Zhang, Wanxuan Lu, Qi Wang

IEEE Trans. Geosci. Remote. Sens., 2025

2024

SFTformer: A Spatial-Frequency-Temporal Correlation-Decoupling Transformer for Radar Echo Extrapolation.

Liangyu Xu, Wanxuan Lu, Hongfeng Yu, Fanglong Yao, Xian Sun, Kun Fu

IEEE Trans. Geosci. Remote. Sens., 2024

TAFormer: A Unified Target-Aware Transformer for Video and Motion Joint Prediction in Aerial Scenes.

Liangyu Xu, Wanxuan Lu, Hongfeng Yu, Yongqiang Mao, Hanbo Bi, Chenglong Liu, Xian Sun, Kun Fu

IEEE Trans. Geosci. Remote. Sens., 2024

Attention-Based Contrastive Learning for Few-Shot Remote Sensing Image Classification.

Yulong Xu, Hanbo Bi, Hongfeng Yu, Wanxuan Lu, Peifeng Li, Xinming Li, Xian Sun

IEEE Trans. Geosci. Remote. Sens., 2024

Dynamic and Adaptive Self-Training for Semi-Supervised Remote Sensing Image Semantic Segmentation.

Jidong Jin, Wanxuan Lu, Hongfeng Yu, Xuee Rong, Xian Sun, Yirong Wu

IEEE Trans. Geosci. Remote. Sens., 2024

AiRs: Adapter in Remote Sensing for Parameter-Efficient Transfer Learning.

Leiyi Hu, Hongfeng Yu, Wanxuan Lu, Dongshuo Yin, Xian Sun, Kun Fu

IEEE Trans. Geosci. Remote. Sens., 2024

TEA: A Training-Efficient Adapting Framework for Tuning Foundation Models in Remote Sensing.

Leiyi Hu, Wanxuan Lu, Hongfeng Yu, Dongshuo Yin, Xian Sun, Kun Fu

IEEE Trans. Geosci. Remote. Sens., 2024

Complementary Advantages: Exploiting Cross-Field Frequency Correlation for NIR-Assisted Image Denoising.

Yuchen Wang, Hongyuan Wang, Lizhi Wang, Xin Wang, Lin Zhu, Wanxuan Lu, Hua Huang

CoRR, 2024

Positive2Negative: Breaking the Information-Lossy Barrier in Self-Supervised Single Image Denoising.

Tong Li, Lizhi Wang, Zhiyuan Xu, Lin Zhu, Wanxuan Lu, Hua Huang

CoRR, 2024

Rethinking Model Redundancy for Low-light Image Enhancement.

Tong Li, Lizhi Wang, Hansen Feng, Lin Zhu, Wanxuan Lu, Hua Huang

CoRR, 2024

ReCon1M:A Large-scale Benchmark Dataset for Relation Comprehension in Remote Sensing Imagery.

Xian Sun, Qiwei Yan, Chubo Deng, Chenglong Liu, Yi Jiang, Zhongyan Hou, Wanxuan Lu, Fanglong Yao, Xiaoyu Liu, Lingxiang Hao, Hongfeng Yu

CoRR, 2024

2023

From single- to multi-modal remote sensing imagery interpretation: a survey and taxonomy.

Xian Sun, Yu Tian, Wanxuan Lu, Peijin Wang, Ruigang Niu, Hongfeng Yu, Kun Fu

Sci. China Inf. Sci., April, 2023

RingMo-Sense: Remote Sensing Foundation Model for Spatiotemporal Prediction via Spatiotemporal Evolution Disentangling.

Fanglong Yao, Wanxuan Lu, Heming Yang, Liangyu Xu, Chenglong Liu, Leiyi Hu, Hongfeng Yu, Nayu Liu, Chubo Deng, Deke Tang, Changshuo Chen, Jiaqi Yu, Xian Sun, Kun Fu

IEEE Trans. Geosci. Remote. Sens., 2023

RingMo: A Remote Sensing Foundation Model With Masked Image Modeling.

Xian Sun, Peijin Wang, Wanxuan Lu, Zicong Zhu, Xiaonan Lu, Qibin He, Junxi Li, Xuee Rong, Zhujun Yang, Hao Chang, Qinglin He, Guang Yang, Ruiping Wang, Jiwen Lu, Kun Fu

IEEE Trans. Geosci. Remote. Sens., 2023

Text-Image Matching for Cross-Modal Remote Sensing Image Retrieval via Graph Neural Network.

Hongfeng Yu, Fanglong Yao, Wanxuan Lu, Nayu Liu, Peiguang Li, Hongjian You, Xian Sun

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

A Light-Weighted Hypergraph Neural Network for Multimodal Remote Sensing Image Retrieval.

Hongfeng Yu, Chubo Deng, Liangjin Zhao, Lingxiang Hao, Xiaoyu Liu, Wanxuan Lu, Hongjian You

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Semi-Supervised Semantic Generative Networks For Remote Sensing Image Segmentation.

Wanxuan Lu, Jidong Jin, Xian Sun, Kun Fu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Multi-Stage Semi-Supervised Transformer for Remote Sensing Semantic Segmentation with Various Data Augmentation.

Yi Jiang, Wanxuan Lu, Zhi Guo

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

A Semisupervised Convolution Neural Network for Partial Unlabeled Remote-Sensing Image Segmentation.

Lili Zhang, Wanxuan Lu, Jinming Zhang, Hongqi Wang

IEEE Geosci. Remote. Sens. Lett., 2022

2021

Boundarymix: Generating pseudo-training images for improving segmentation with scribble annotations.

Wanxuan Lu, Dong Gong, Kun Fu, Xian Sun, Wenhui Diao, Lingqiao Liu

Pattern Recognit., 2021

2018

WSF-NET: Weakly Supervised Feature-Fusion Network for Binary Segmentation in Remote Sensing Image.

Kun Fu, Wanxuan Lu, Wenhui Diao, Menglong Yan, Hao Sun, Yi Zhang, Xian Sun

Remote. Sens., 2018

2015

Inferring User Preference in Good Abandonment from Eye Movements.

Wanxuan Lu, Yunde Jia

Proceedings of the Web-Age Information Management - 16th International Conference, 2015

2014

An Eye-Tracking Study of User Behavior in Web Image Search.

Wanxuan Lu, Yunde Jia

Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

Action Recognition Using Local Joints Structure and Histograms of 3D Joints.

Yan Liang, Wanxuan Lu, Wei Liang, Yucheng Wang

Proceedings of the Tenth International Conference on Computational Intelligence and Security, 2014

2010

Visual Search Strategy and Information Processing Mode: An Eye-Tracking Study on Web Pages under Information Overload.

Wanxuan Lu, Mi Li, Shengfu Lu, Yangyang Song, Jingjing Yin, Ning Zhong

Proceedings of the Information and Automation - International Symposium, 2010

Clustering of fMRI Data Using Affinity Propagation.

Dazhong Liu, Wanxuan Lu, Ning Zhong

Proceedings of the Brain Informatics, International Conference, 2010