Image-based surface deformation for multi-view three-dimensional facial reconstruction. - Hongwei Dong; Shuhui Dong (IET Comput. Vis., 2014)

Evolution path and research hotspot in international information literacy education field based on citespace II. - Yanli Zhao; Chengwei Shan; Hongwei Dong; Guixue Hu (ICCIP, 2016)

Design of the Image Acquisition and Processing System for Color Sorter Based on FPGA. - Hongwei Dong; Yanjun Zhang; Mengmei Chen; Wei Jin (CRC, 2017)

A Robust Regression Framework with Laplace Kernel-Induced Loss. - Liming Yang; Zhuo Ren; Yidan Wang; Hongwei Dong (Neural Comput., 2017)

Graphical Representation and Similarity Analysis of Protein Sequences Based on Fractal Interpolation. - Hailong Hu; Zhong Li; Hongwei Dong; Tianhe Zhou (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Densely Connected Convolutional Neural Network Based Polarimetric SAR Image Classification. - Hongwei Dong; Lamei Zhang; Bin Zou 001 (IGARSS, 2019)

Robust support vector machine with generalized quantile loss for classification and regression. - Liming Yang; Hongwei Dong (Appl. Soft Comput., 2019)

Efficiently utilizing complex-valued PolSAR image data via a multi-task deep learning framework. - Lamei Zhang; Hongwei Dong; Bin Zou 001 (CoRR, 2019)

Iteratively reweighted least squares for robust regression via SVM and ELM. - Hongwei Dong; Liming Yang (CoRR, 2019)

Band Attention Convolutional Networks For Hyperspectral Image Classification. - Hongwei Dong; Lamei Zhang; Bin Zou 001 (CoRR, 2019)

Polsar Image Classification via Complex-Valued Multi-Scale Convolutional Neural Network. - Lamei Zhang; Siyu Zhang; Hongwei Dong; Da Lu (IGARSS, 2020)

PCLNet: A Practical Way for Unsupervised Deep PolSAR Representations and Few-Shot Classification. - Lamei Zhang; Siyu Zhang; Bin Zou 001; Hongwei Dong (CoRR, 2020)

Training robust support vector regression machines for more general noise. - Hongwei Dong; Liming Yang (J. Intell. Fuzzy Syst., 2020)

PolSAR Image Classification with Lightweight 3D Convolutional Networks. - Hongwei Dong; Lamei Zhang; Bin Zou 001 (Remote. Sens., 2020)

Automatic Design of CNNs via Differentiable Neural Architecture Search for PolSAR Image Classification. - Hongwei Dong; Bin Zou 001; Lamei Zhang; Siyu Zhang (IEEE Trans. Geosci. Remote. Sens., 2020)

Robust semi-supervised support vector machines with Laplace kernel-induced correntropy loss functions. - Hongwei Dong; Liming Yang; Xue Wang (Appl. Intell., 2021)

Kernel-based regression via a novel robust loss function and iteratively reweighted least squares. - Hongwei Dong; Liming Yang (Knowl. Inf. Syst., 2021)

The Deep Learning-Based Framework for Automated Predicting COVID-19 Severity Score. - Yongchang Zheng; Hongwei Dong (KES, 2022)

Attention-Based Polarimetric Feature Selection Convolutional Network for PolSAR Image Classification. - Hongwei Dong; Lamei Zhang; Da Lu; Bin Zou 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

Exploring Vision Transformers for Polarimetric SAR Image Classification. - Hongwei Dong; Lamei Zhang; Bin Zou 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Unsupervised Deep Representation Learning and Few-Shot Classification of PolSAR Images. - Lamei Zhang; Siyu Zhang; Bin Zou 001; Hongwei Dong (IEEE Trans. Geosci. Remote. Sens., 2022)

A Dimensional Structure based Knowledge Distillation Method for Cross-Modal Learning. - Lingyu Si; Hongwei Dong; Wenwen Qiang; Junzhi Yu; Wenlong Zhai; Changwen Zheng; Fanjiang Xu; Fuchun Sun 001 (CoRR, 2023)

Learning to Sample Tasks for Meta Learning. - Jingyao Wang; Zeen Song; Xingzhe Su; Lingyu Si; Hongwei Dong; Wenwen Qiang; Changwen Zheng (CoRR, 2023)

Background Debiased SAR Target Recognition via Causal Interventional Regularizer. - Hongwei Dong; Fangzhou Han; Lingyu Si; Wenwen Qiang; Lamei Zhang (CoRR, 2023)

A Polarimetric Scattering Characteristics-Guided Adversarial Learning Approach for Unsupervised PolSAR Image Classification. - Hongwei Dong; Lingyu Si; Wenwen Qiang; Wuxia Miao; Changwen Zheng; Yuquan Wu; Lamei Zhang (Remote. Sens., 2023)

Gossamer: Scaling Image Processing and Reconstruction to Whole Brains. - Karl Marrett; Keivan Moradi; Chris Sin Park; Ming Yan 006; Chris Choi; Muye Zhu; Masood Akram; Sumit Nanda; Qing Xue; Hyun-Seung Mun; Adriana E. Gutierrez; Mitchell Rudd; et al. (BI (1), 2024)

High Throughput Training Label Generation from Whole Brain Images. - Karl Marrett; Keivan Moradi; Chris Sin Park; Ming Yan 006; Chris Choi; Muye Zhu; Masood Akram; Sumit Nanda; Qing Xue; Hyun-Seung Mun; Adriana E. Gutierrez; Mitchell Rudd; et al. (BI (2), 2024)

CartoonDiff: Training-free Cartoon Image Generation with Diffusion Transformer Models. - Feihong He; Gang Li; Lingyu Si; Leilei Yan; Shimeng Hou; Hongwei Dong; Fanzhang Li (ICASSP, 2024)

Radardiff: Improving Sea Clutter Suppression Using Diffusion Models for Radar Images. - Lingyu Si; Gang Li; Hongwei Dong; Changwen Zheng; Fanjiang Xu; Fuchun Sun 001 (ICASSP, 2024)

FPGNet: Single Image Deraining with High-Frequency Channel and Frequency Domain Prior Guidance. - Zhaoyong Yan; Gang Li; Lingyu Si; Hongwei Dong (ICASSP, 2024)

Improving Class Imbalanced Few-Shot Image Classification via an Edge-Restrained SinDiffusion Method. - Xu Zhao; Hongwei Dong; Yuquan Wu (SMC, 2024)

Exploring Text-Guided Single Image Editing for Remote Sensing Images. - Fangzhou Han; Lingyu Si; Hongwei Dong; Lamei Zhang; Hao Chen 011; Bo Du 001 (CoRR, 2024)

MLR-SimSiam: A Contrastive Pretraining Model Based on Polarimetric Jittering and Mutual Learning Regularizer for PolSAR Image Classification. - Lamei Zhang; Fangzhou Han; Tong Li 010; Haishan Dai; Bin Zou 001; Hongwei Dong (IEEE Geosci. Remote. Sens. Lett., 2024)

Background Debiased SAR Automatic Target Recognition via a Novel Causal Interventional Regularizer. - Hongwei Dong; Fangzhou Han; Lingyu Si; Wenwen Qiang; Ruiheng Zhang; Lamei Zhang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

A Novel Causal Inference-Guided Feature Enhancement Framework for PolSAR Image Classification. - Hongwei Dong; Lingyu Si; Wenwen Qiang; Lamei Zhang; Junzhi Yu; Yuquan Wu; Changwen Zheng; Fuchun Sun 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Improving SAR Automatic Target Recognition via Trusted Knowledge Distillation From Simulated Data. - Fangzhou Han; Hongwei Dong; Lingyu Si; Lamei Zhang (IEEE Trans. Geosci. Remote. Sens., 2024)

A Trusted Generative-Discriminative Joint Feature Learning Framework for Remote Sensing Image Classification. - Lingyu Si; Hongwei Dong; Wenwen Qiang; Zeen Song; Bo Du 001; Junzhi Yu; Fuchun Sun 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Regularized Hypothesis-Induced Wasserstein Divergence for unsupervised domain adaptation. - Lingyu Si; Hongwei Dong; Wenwen Qiang; Changwen Zheng; Junzhi Yu; Fuchun Sun 001 (Knowl. Based Syst., 2024)

Exploring Text-Guided Single Image Editing for Remote Sensing Images. - Fangzhou Han; Lingyu Si; Hongwei Dong; Zhizhuo Jiang; Lamei Zhang; Hao Chen 014; Yu Liu 005; Bo Du 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Hybrid-Fusion Mamba for Multitask Point Cloud Learning With Visual Perception Sensors. - Hongwei Dong; Shun Na; Fengye Hu (IEEE Internet Things J., 2025)