An interactive tool for ROI extraction and compression on whole slide images. - Yuhang Dong; Hongda Shen; W. David Pan (BHI, 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 (BHI, 2016)

Lossless compression of curated erythrocyte images using deep autoencoders for malaria infection diagnosis. - Hongda Shen; W. David Pan; Yuhang Dong; Mohammad Alim (PCS, 2016)

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 (BHI, 2017)

Golomb-Rice coding parameter learning using deep belief network for hyperspectral image compression. - Hongda Shen; W. David Pan; Yuhang Dong; Zhuocheng Jiang (IGARSS, 2017)

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)

Time Lab's approach to the Challenge on Computer Vision for Remote Physiological Measurement. - Yuhang Dong; Gongping Yang; Yilong Yin (ICCVW, 2021)

Metapath and syntax-aware heterogeneous subgraph neural networks for spam review detection. - Zhiqiang Zhang 010; Yuhang Dong; Haiyan Wu; Haiyu Song; Shengchun Deng; Yanhong Chen (Appl. Soft Comput., 2022)

DRNet: Decomposition and Reconstruction Network for Remote Physiological Measurement. - Yuhang Dong; Gongping Yang; Yilong Yin (CoRR, 2022)

Image Classification in JPEG Compression Domain for Malaria Infection Detection. - Yuhang Dong; W. David Pan (J. Imaging, 2022)

Er-EIR: A Chinese Question Matching Model Based on Word-Level and Sentence-Level Interaction Features. - Yuyan Ying; Zhiqiang Zhang; Haiyan Wu; Yuhang Dong (ChineseCSCW (1), 2023)

Domain-irrelevant Feature Learning for Generalizable Pan-sharpening. - Yunlong Lin; Zhenqi Fu; Ge Meng; Yingying Wang 005; Yuhang Dong; Linyu Fan; Hedeng Yu; Xinghao Ding (ACM Multimedia, 2023)

Learning High-frequency Feature Enhancement and Alignment for Pan-sharpening. - Yingying Wang 005; Yunlong Lin; Ge Meng; Zhenqi Fu; Yuhang Dong; Linyu Fan; Hedeng Yu; Xinghao Ding; Yue Huang 001 (ACM Multimedia, 2023)

Suggesting Variable Order for Cylindrical Algebraic Decomposition via Reinforcement Learning. - Fuqi Jia; Yuhang Dong; Minghao Liu 001; Pei Huang 002; Feifei Ma; Jian Zhang 001 (NeurIPS, 2023)

High-Resolution Feature Representation Driven Infrared Small-Dim Object Detection. - Yuhang Dong; Yingying Wang 005; Linyu Fan; Xinghao Ding; Yue Huang 001 (PRCV (12), 2023)

A Survey on Compression Domain Image and Video Data Processing and Analysis Techniques. - Yuhang Dong; W. David Pan (Inf., 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., 2023)

Unsupervised Pan-Sharpening via Mutually Guided Detail Restoration. - Huangxing Lin; Yuhang Dong; Xinghao Ding; Tianpeng Liu; Yongxiang Liu (AAAI, 2024)

A Research Topic Evolution Prediction Approach Based on Multiplex-graph Representation Learning. - Yang Zheng; Kaiwen Shi; Yuhang Dong; Xiaoguang Wang; Hongyu Wang (EEKE/AII@iConference, 2024)

Efficient Perceiving Local Details via Adaptive Spatial-Frequency Information Integration for Multi-focus Image Fusion. - Jingjia Huang; Jingyan Tu; Ge Meng; Yingying Wang 005; Yuhang Dong; Xiaotong Tu; Xinghao Ding; Yue Huang 001 (ACM Multimedia, 2024)

Bridging the Resource Gap: Deploying Advanced Imitation Learning Models Onto Affordable Embedded Platforms. - Haizhou Ge; Ruixiang Wang; Zhu-ang Xu; Hongrui Zhu; Ruichen Deng; Yuhang Dong; Zeyu Pang; Guyue Zhou; Junyu Zhang; Lu Shi (ROBIO, 2024)

Dual-path Frequency Discriminators for Few-shot Anomaly Detection. - Yuhu Bai; Jiangning Zhang; Yuhang Dong; Guanzhong Tian; Liang Liu 007; Yunkang Cao; Yabiao Wang; Chengjie Wang (CoRR, 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)

Diffusion-Based Continuous Feature Representation for Infrared Small-Dim Target Detection. - Linyu Fan; Yingying Wang 005; Guoliang Hu; Feifei Li; Yuhang Dong; Hui Zheng 003; Changqing Lin; Yue Huang 001; Xinghao Ding (IEEE Trans. Geosci. Remote. Sens., 2024)

Cross-Modality Interaction Network for Pan-Sharpening. - Yingying Wang 005; Xuanhua He; Yuhang Dong; Yunlong Lin; Yue Huang 001; Xinghao Ding (IEEE Trans. Geosci. Remote. Sens., 2024)

A Complete Algorithm for Optimization Modulo Nonlinear Real Arithmetic. - Fuqi Jia; Yuhang Dong; Rui Han; Pei Huang 002; Minghao Liu 001; Feifei Ma; Jian Zhang 001 (AAAI, 2025)

Imit Diff: Semantics Guided Diffusion Transformer with Dual Resolution Fusion for Imitation Learning. - Yuhang Dong; Haizhou Ge; Yupei Zeng; Jiangning Zhang; Beiwen Tian; Guanzhong Tian; Hongrui Zhu; Yufei Jia; Ruixiang Wang; Ran Yi; Guyue Zhou; Longhua Ma (CoRR, 2025)

Wavelet Policy: Imitation Policy Learning in Frequency Domain with Wavelet Transforms. - Changchuan Yang; Yuhang Dong; Guanzhong Tian; Haizhou Ge; Hongrui Zhu (CoRR, 2025)

DISCOVERSE: Efficient Robot Simulation in Complex High-Fidelity Environments. - Yufei Jia; Guangyu Wang; Yuhang Dong; Junzhe Wu; Yupei Zeng; Haonan Lin; Zifan Wang; Haizhou Ge; Weibin Gu; Kairui Ding; Zike Yan; Yunjie Cheng; et al. (CoRR, 2025)