A distributed-memory implementation of the MCHF atomic structure package. - Charlotte Froese Fischer; Ming Tong; Murry Bentley; Zuchang Shen; C. Ravimohan (J. Supercomput., 1994)

An Adaptive Watermark Scheme Based on Contourlet Transform. - Wei Feng; Ming Tong; Hong-Bing Ji (ISCSCT (1), 2008)

Simulation System of Air Transport Route Planning. - Ming Tong; Hu Liu; MingHu Wu (ICICA (LNCS), 2011)

New Video Watermark Scheme Resistant to Super Strong Cropping Attacks. - Ming Tong; Tao Chen; Wei Zhang; Linna Dong (J. Information Security, 2012)

Capacity assessment error elimination and evaluation methods. - Yi Mao; Shan'e Xu; Ming Tong; Yi Mao (LISS, 2016)

Independent detection and self-recovery video authentication mechanism using extended NMF with different sparseness constraints. - Ming Tong; Jinyu Guo; Shichang Tao; Yangcheng Wu (Multim. Tools Appl., 2016)

Action recognition new framework with robust 3D-TCCHOGAC and 3D-HOOFGAC. - Ming Tong; Houyi Wang; Weijuan Tian; Shulin Yang (Multim. Tools Appl., 2017)

A new framework of action recognition with discriminative parts, spatio-temporal and causal interaction descriptors. - Ming Tong; Yiran Chen 002; Mengao Zhao; Weijuan Tian (J. Vis. Commun. Image Represent., 2018)

A compact discriminant hierarchical clustering approach for action recognition. - Ming Tong; Weijuan Tian; Houyi Wang; Fan Wang (Multim. Tools Appl., 2018)

D3-LND: A two-stream framework with discriminant deep descriptor, linear CMDT and nonlinear KCMDT descriptors for action recognition. - Ming Tong; Mengao Zhao; Yiran Chen 002; Houyi Wang (Neurocomputing, 2019)

Non-negative enhanced discriminant matrix factorization method with sparsity regularization. - Ming Tong; Haili Bu; Mengao Zhao; Shengnan Xi; Hailong Li (Neural Comput. Appl., 2019)

A deep discriminative and robust nonnegative matrix factorization network method with soft label constraint. - Ming Tong; Yiran Chen 002; Mengao Zhao; Haili Bu; Shengnan Xi (Neural Comput. Appl., 2019)

An appearance-preserving simplification method for complex 3D building models. - Jiangfeng She; Xiaoyan Gu 002; Junzhong Tan; Ming Tong; Chaofan Wang (Trans. GIS, 2019)

PTL-LTM model for complex action recognition using local-weighted NMF and deep dual-manifold regularized NMF with sparsity constraint. - Ming Tong; He Bai 010; Xing Yue; Haili Bu (Neural Comput. Appl., 2020)

NMF with local constraint and Deep NMF with temporal dependencies constraint for action recognition. - Ming Tong; Yiran Chen 002; Lei Ma; He Bai 010; Xing Yue (Neural Comput. Appl., 2020)

DKD-DAD: a novel framework with discriminative kinematic descriptor and deep attention-pooled descriptor for action recognition. - Ming Tong; Mingyang Li; He Bai 010; Lei Ma; Mengao Zhao (Neural Comput. Appl., 2020)

A Review of Interaction between Non-coding RNAs and Neurovascular Unit in Diabetic Retinopathy. - Ming Tong (ICBBE, 2021)

DM-CTSA: a discriminative multi-focused and complementary temporal/spatial attention framework for action recognition. - Ming Tong; Kaibo Yan; Lei Jin; Xing Yue; Mingyang Li (Neural Comput. Appl., 2021)

Few-Shot Object Detection on Remote Sensing Images via Shared Attention Module and Balanced Fine-Tuning Strategy. - Xu Huang; Bokun He; Ming Tong; Dingwen Wang; Chu He (Remote. Sens., 2021)

An Energy Optimization Algorithm for Data Centers based on Deep Q-learning with Multi-Source Energy. - Hui Yu; Ming Tong (AIAM, 2022)

Research on Data Governance and Data Migration based on Oracle Database Appliance in campus. - Ming Tong; Ying Xia (CSSE, 2022)

Semi-UFormer: Semi-supervised Uncertainty-aware Transformer for Image Dehazing. - Ming Tong; Yongzhen Wang; Peng Cui; Xuefeng Yan; Mingqiang Wei (CoRR, 2022)

An Anchor-Free Method Based on Adaptive Feature Encoding and Gaussian-Guided Sampling Optimization for Ship Detection in SAR Imagery. - Bokun He; Qingyi Zhang; Ming Tong; Chu He (Remote. Sens., 2022)

Oriented Ship Detector for Remote Sensing Imagery Based on Pairwise Branch Detection Head and SAR Feature Enhancement. - Bokun He; Qingyi Zhang; Ming Tong; Chu He (Remote. Sens., 2022)

A Statistical-Texture Feature Learning Network for PolSAR Image Classification. - Qingyi Zhang; Chu He; Xiaoxiao Fang; Ming Tong; Bokun He (IEEE Geosci. Remote. Sens. Lett., 2023)

Learning Scattering Similarity and Texture-Based Attention With Convolutional Neural Networks for PolSAR Image Classification. - Qingyi Zhang; Chu He; Bokun He; Ming Tong (IEEE Trans. Geosci. Remote. Sens., 2023)

Uncertainty-Driven Multi-scale Feature Fusion Network for Real-Time Image Deraining. - Ming Tong; Xuefeng Yan; Yongzhen Wang (ICIC (4), 2024)

Semi-UFormer: Semi-supervised Uncertainty-aware Transformer for Image Dehazing. - Ming Tong; Xuefeng Yan; Yongzhen Wang; Mingqiang Wei (IJCNN, 2024)

PolSAR Image Classification Framework With POA Align and Cyclic Channel Attention. - Xiaoxiao Fang; Chu He; Qingyi Zhang; Ming Tong (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Hierarchical Sampling Representation Detector for Ship Detection in SAR Images. - Ming Tong; Shenghua Fan; Jiu Jiang; Chu He (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Wavelet Tree Transformer: Multihead Attention With Frequency-Selective Representation and Interaction for Remote Sensing Object Detection. - Jiahao Pan; Chu He; Wei Huang; Jidong Cao; Ming Tong (IEEE Trans. Geosci. Remote. Sens., 2024)

Terrain Segmentation in PolSAR Images via Statistical Learning and Uncertainty Perception. - Ming Tong; Xiaoxiao Fang; Jiu Jiang; Chu He (IEEE Geosci. Remote. Sens. Lett., 2025)