Yuhang Dong

According to our database, Yuhang Dong authored at least 24 papers between 2016 and 2024.

Collaborative distances:

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

2024

Cross-Modality Interaction Network for Pan-Sharpening.

Yingying Wang, Xuanhua He, Yuhang Dong, Yunlong Lin, Yue Huang, Xinghao Ding

IEEE Trans. Geosci. Remote. Sens., 2024

Diffusion-Based Continuous Feature Representation for Infrared Small-Dim Target Detection.

Linyu Fan, Yingying Wang, Guoliang Hu, Feifei Li, Yuhang Dong, Hui Zheng, Changqing Lin, Yue Huang, Xinghao Ding

IEEE Trans. Geosci. Remote. Sens., 2024

Dual-path Frequency Discriminators for few-shot anomaly detection.

Yuhu Bai, Jiangning Zhang, Zhaofeng Chen, Yuhang Dong, Yunkang Cao, Guanzhong Tian

Knowl. Based Syst., 2024

Dual-path Frequency Discriminators for Few-shot Anomaly Detection.

Yuhu Bai, Jiangning Zhang, Yuhang Dong, Guanzhong Tian, Liang Liu, Yunkang Cao, Yabiao Wang, Chengjie Wang

CoRR, 2024

Efficient Perceiving Local Details via Adaptive Spatial-Frequency Information Integration for Multi-focus Image Fusion.

Jingjia Huang, Jingyan Tu, Ge Meng, Yingying Wang, Yuhang Dong, Xiaotong Tu, Xinghao Ding, Yue Huang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

A Research Topic Evolution Prediction Approach Based on Multiplex-graph Representation Learning.

Yang Zheng, Kaiwen Shi, Yuhang Dong, Xiaoguang Wang, Hongyu Wang

Proceedings of Joint Workshop of the 5th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2024) and the 4th AI + Informetrics (AII2024) co-located with the ( iConference2024), 2024

Unsupervised Pan-Sharpening via Mutually Guided Detail Restoration.

Huangxing Lin, Yuhang Dong, Xinghao Ding, Tianpeng Liu, Yongxiang Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Chinese mineral question and answering system based on knowledge graph.

Chengjian Liu, Xiaohui Ji, Yuhang Dong, Mingyue He, Mei Yang, Yuzhu Wang

Expert Syst. Appl., November, 2023

A Survey on Compression Domain Image and Video Data Processing and Analysis Techniques.

Yuhang Dong, W. David Pan

Inf., 2023

High-Resolution Feature Representation Driven Infrared Small-Dim Object Detection.

Yuhang Dong, Yingying Wang, Linyu Fan, Xinghao Ding, Yue Huang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Suggesting Variable Order for Cylindrical Algebraic Decomposition via Reinforcement Learning.

Fuqi Jia, Yuhang Dong, Minghao Liu, Pei Huang, Feifei Ma, Jian Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning High-frequency Feature Enhancement and Alignment for Pan-sharpening.

Yingying Wang, Yunlong Lin, Ge Meng, Zhenqi Fu, Yuhang Dong, Linyu Fan, Hedeng Yu, Xinghao Ding, Yue Huang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Domain-irrelevant Feature Learning for Generalizable Pan-sharpening.

Yunlong Lin, Zhenqi Fu, Ge Meng, Yingying Wang, Yuhang Dong, Linyu Fan, Hedeng Yu, Xinghao Ding

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Er-EIR: A Chinese Question Matching Model Based on Word-Level and Sentence-Level Interaction Features.

Yuyan Ying, Zhiqiang Zhang, Haiyan Wu, Yuhang Dong

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

2022

Image Classification in JPEG Compression Domain for Malaria Infection Detection.

Yuhang Dong, W. David Pan

J. Imaging, 2022

DRNet: Decomposition and Reconstruction Network for Remote Physiological Measurement.

Yuhang Dong, Gongping Yang, Yilong Yin

CoRR, 2022

Metapath and syntax-aware heterogeneous subgraph neural networks for spam review detection.

Zhiqiang Zhang, Yuhang Dong, Haiyan Wu, Haiyu Song, Shengchun Deng, Yanhong Chen

Appl. Soft Comput., 2022

2021

Time Lab's approach to the Challenge on Computer Vision for Remote Physiological Measurement.

Yuhang Dong, Gongping Yang, Yilong Yin

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2019

Impact of Misclassification Rates on Compression Efficiency of Red Blood Cell Images of Malaria Infection Using Deep Learning.

Yuhang Dong, W. David Pan, Dongsheng Wu

Entropy, 2019

2017

Golomb-Rice coding parameter learning using deep belief network for hyperspectral image compression.

Hongda Shen, W. David Pan, Yuhang Dong, Zhuocheng Jiang

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Evaluations of deep convolutional neural networks for automatic identification of malaria infected cells.

Yuhang Dong, Zhuocheng Jiang, Hongda Shen, W. David Pan, Lance A. Williams, Vishnu V. B. Reddy, William H. Benjamin, Allen W. Bryan

Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

2016

Lossless compression of curated erythrocyte images using deep autoencoders for malaria infection diagnosis.

Hongda Shen, W. David Pan, Yuhang Dong, Mohammad Alim

Proceedings of the 2016 Picture Coding Symposium, 2016

A comparison of feature selection methods for machine learning based automatic malarial cell recognition in wholeslide images.

Vishnu Muralidharan, Yuhang Dong, W. David Pan

Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016

An interactive tool for ROI extraction and compression on whole slide images.

Yuhang Dong, Hongda Shen, W. David Pan

Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016