Implementing Molecular Dynamics Simulation on Sunway TaihuLight System. - Wenqian Dong; Letian Kang; Zhe Quan; Kenli Li 001; Keqin Li 001; Zi-Yu Hao; Xiang-Hui Xie 001 (HPCC/SmartCity/DSS, 2016)

Hyperspectral Image Fusion Based on Multistage Guided Filter. - Wenqian Dong; Song Xiao 001; Jiahui Qu; Lizhao Li (ChinaCom (1), 2017)

A new hyperspectral pansharpening method based on guided fliter. - Jiahui Qu; Yunsong Li 001; Wenqian Dong (IGARSS, 2017)

Hyperspectral Pansharpening With Guided Filter. - Jiahui Qu; Yunsong Li 001; Wenqian Dong (IEEE Geosci. Remote. Sens. Lett., 2017)

Modeling Application Resilience in Large-scale Parallel Execution. - Kai Wu 006; Wenqian Dong; Qiang Guan; Nathan DeBardeleben; Dong Li 001 (ICPP, 2018)

Fusion of Hyperspectral and Panchromatic Images Based on Matting Model. - Wenqian Dong; Song Xiao 001; Jiahui Qu; Hongping Gan (IGARSS, 2018)

A New Hyperspectral Pansharpening Method With Intrisic Image Decomposition. - Wenqian Dong; Song Xiao 001; Jiahui Qu (IGARSS, 2018)

Fusion of Hyperspectral and Panchromatic Images using Structure Tensor. - Jiahui Qu; Yunsong Li 001; Wenqian Dong (IGARSS, 2018)

Implementing molecular dynamics simulation on the Sunway TaihuLight system with heterogeneous many-core processors. - Wenqian Dong; Kenli Li 001; Letian Kang; Zhe Quan; Keqin Li 001 (Concurr. Comput. Pract. Exp., 2018)

A Preliminary Study of Neural Network-based Approximation for HPC Applications. - Wenqian Dong; Luanzheng Guo; Dong Li 001 (CoRR, 2018)

Hyperspectral pansharpening via improved PCA approach and optimal weighted fusion strategy. - Yunsong Li 001; Jiahui Qu; Wenqian Dong; Yuxuan Zheng (Neurocomputing, 2018)

Hyperspectral pansharpening based on guided filter and Gaussian filter. - Wenqian Dong; Song Xiao 001; Yongxu Li (J. Vis. Commun. Image Represent., 2018)

Fusion of hyperspectral and panchromatic images using an average filter and a guided filter. - Jiahui Qu; Yunsong Li 001; Wenqian Dong (J. Vis. Commun. Image Represent., 2018)

Hyperspectral Pansharpening Based on Intrinsic Image Decomposition and Weighted Least Squares Filter. - Wenqian Dong; Song Xiao 001; Yunsong Li 001; Jiahui Qu (Remote. Sens., 2018)

Structure Tensor-Based Algorithm for Hyperspectral and Panchromatic Images Fusion. - Jiahui Qu; Jie Lei 001; Yunsong Li 001; Wenqian Dong; Zhiyong Zeng; Dunyu Chen (Remote. Sens., 2018)

Fusion of hyperspectral and panchromatic images with guided filter. - Wenqian Dong; Song Xiao 001; Jiahui Qu (Signal Image Video Process., 2018)

Hyperspectral and Panchromatic Image Fusion Based on Weighted Tensor Matrix. - Jiahui Qu; Qian Du 001; Yunsong Li 001; Wenqian Dong (IGARSS, 2019)

Adaptive neural network-based approximation to accelerate eulerian fluid simulation. - Wenqian Dong; Jie Liu; Zhen Xie; Dong Li 001 (SC, 2019)

An Improved Hyperspectral Pansharpening Algorithm Based on Optimized Injection Model. - Wenqian Dong; Song Xiao 001; Xiao Xue 003; Jiahui Qu (IEEE Access, 2019)

An Adaptive Weighted Regression and Guided Filter Hybrid Method for Hyperspectral Pansharpening. - Wenqian Dong; Song Xiao 001 (KSII Trans. Internet Inf. Syst., 2019)

Hyperspectral Pansharpening Based on Homomorphic Filtering and Weighted Tensor Matrix. - Jiahui Qu; Yunsong Li 001; Qian Du 001; Wenqian Dong; Bobo Xi (Remote. Sens., 2019)

Smart-PGSim: using neural network to accelerate AC-OPF power grid simulation. - Wenqian Dong; Zhen Xie; Gokcen Kestor; Dong Li 001 (SC, 2020)

Fusion of hyperspectral and panchromatic images using structure tensor and matting model. - Wenqian Dong; Song Xiao 001; Jie Liang 001; Jiahui Qu (Neurocomputing, 2020)

Saliency Analysis and Gaussian Mixture Model-Based Detail Extraction Algorithm for Hyperspectral Pansharpening. - Wenqian Dong; Jie Liang 001; Song Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2020)

Tahoe: tree structure-aware high performance inference engine for decision tree ensemble on GPU. - Zhen Xie; Wenqian Dong; Jiawen Liu; Hang Liu 001; Dong Li 001 (EuroSys, 2021)

MD-HM: memoization-based molecular dynamics simulations on big memory system. - Zhen Xie; Wenqian Dong; Jie Liu; Ivy Bo Peng; Yanbao Ma; Dong Li 001 (ICS, 2021)

Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation. - Jie Liu; Wenqian Dong; Dong Li 001; Qingqing Zhou (Proc. VLDB Endow., 2021)

Multi-level features fusion via cross-layer guided attention for hyperspectral pansharpening. - Shaoxiong Hou; Song Xiao 001; Wenqian Dong; Jiahui Qu (Neurocomputing, 2022)

Hyperspectral Pansharpening via Local Intensity Component and Local Injection Gain Estimation. - Wenqian Dong; Yihan Yang; Jiahui Qu; Song Xiao 001; Qian Du 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

A Mutual Guidance Attention-Based Multi-Level Fusion Network for Hyperspectral and LiDAR Classification. - Tongzhen Zhang; Song Xiao 001; Wenqian Dong; Jiahui Qu; Yufei Yang (IEEE Geosci. Remote. Sens. Lett., 2022)

Context-Aware Guided Attention Based Cross-Feedback Dense Network for Hyperspectral Image Super-Resolution. - Wenqian Dong; Jiahui Qu; Tongzhen Zhang; Yunsong Li 001; Qian Du 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Fusion of Hyperspectral and Panchromatic Images Using Generative Adversarial Network and Image Segmentation. - Wenqian Dong; Yufei Yang; Jiahui Qu; Weiying Xie; Yunsong Li 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

A Spatial-Spectral Dual-Optimization Model-Driven Deep Network for Hyperspectral and Multispectral Image Fusion. - Wenqian Dong; Tongzhen Zhang; Jiahui Qu; Yunsong Li 001; Haoming Xia (IEEE Trans. Geosci. Remote. Sens., 2022)

Laplacian Pyramid Dense Network for Hyperspectral Pansharpening. - Wenqian Dong; Tongzhen Zhang; Jiahui Qu; Song Xiao 001; Jie Liang 001; Yunsong Li 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Multibranch Feature Fusion Network With Self- and Cross-Guided Attention for Hyperspectral and LiDAR Classification. - Wenqian Dong; Tian Zhang; Jiahui Qu; Song Xiao 001; Tongzhen Zhang; Yunsong Li 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

A Multilevel Encoder-Decoder Attention Network for Change Detection in Hyperspectral Images. - Jiahui Qu; Shaoxiong Hou; Wenqian Dong; Yunsong Li 001; Weiying Xie (IEEE Trans. Geosci. Remote. Sens., 2022)

A Dual-Branch Detail Extraction Network for Hyperspectral Pansharpening. - Jiahui Qu; Shaoxiong Hou; Wenqian Dong; Song Xiao 001; Qian Du 001; Yunsong Li 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Dual-Branch Difference Amplification Graph Convolutional Network for Hyperspectral Image Change Detection. - Jiahui Qu; Yunshuang Xu; Wenqian Dong; Yunsong Li 001; Qian Du 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Cross-Guided Pyramid Attention-Based Residual Hyperdense Network for Hyperspectral Image Pansharpening. - Jiahui Qu; Tongzhen Zhang; Wenqian Dong; Yufei Yang; Yunsong Li 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

A Deep Multiscale Pyramid Network Enhanced With Spatial-Spectral Residual Attention for Hyperspectral Image Change Detection. - Yufei Yang; Jiahui Qu; Song Xiao 001; Wenqian Dong; Yunsong Li 001; Qian Du 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Generative Dual-Adversarial Network With Spectral Fidelity and Spatial Enhancement for Hyperspectral Pansharpening. - Wenqian Dong; Shaoxiong Hou; Song Xiao 001; Jiahui Qu; Qian Du 001; Yunsong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Betty: Enabling Large-Scale GNN Training with Batch-Level Graph Partitioning. - Shuangyan Yang; Minjia Zhang; Wenqian Dong; Dong Li 001 (ASPLOS (2), 2023)

AutoConstruct: Automated Neural Surrogate Model Building and Deployment for HPC Applications. - Wenqian Dong; Jie Ren 015 (FlexScience@HPDC, 2023)

Auto-HPCnet: An Automatic Framework to Build Neural Network-based Surrogate for High-Performance Computing Applications. - Wenqian Dong; Gokcen Kestor; Dong Li 001 (HPDC, 2023)

HurriCast: An Automatic Framework Using Machine Learning and Statistical Modeling for Hurricane Forecasting. - Shouwei Gao; Meiyan Gao; Yuepeng Li; Wenqian Dong (CoRR, 2023)

CMFDFormer: Transformer-based Copy-Move Forgery Detection with Continual Learning. - Yaqi Liu; Chao Xia; Song Xiao 001; Qingxiao Guan; Wenqian Dong; Yifan Zhang; Nenghai Yu (CoRR, 2023)

Component Substitution Model-Guided Deep Spatial-Spectral Fusion of Hyperspectral Imagery. - Yufei Yang; Song Xiao 001; Wenqian Dong; Jiahui Qu; Yimin Zhao (IEEE Geosci. Remote. Sens. Lett., 2023)

Dictionary Learning-Guided Deep Interpretable Network for Hyperspectral Change Detection. - Jingyu Zhao 011; Song Xiao 001; Wenqian Dong; Jiahui Qu; Yunsong Li 001 (IEEE Geosci. Remote. Sens. Lett., 2023)

A heterogeneous processing-in-memory approach to accelerate quantum chemistry simulation. - Zeshi Liu; Zhen Xie; Wenqian Dong; Mengting Yuan 001; Haihang You; Dong Li 001 (Parallel Comput., 2023)

Anomaly Detection of Hyperspectral Images Based on Transformer With Spatial-Spectral Dual-Window Mask. - Song Xiao 001; Tian Zhang; Zhangchun Xu; Jiahui Qu; Shaoxiong Hou; Wenqian Dong (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Local Information-Enhanced Graph-Transformer for Hyperspectral Image Change Detection With Limited Training Samples. - Wenqian Dong; Yufei Yang; Jiahui Qu; Song Xiao 001; Yunsong Li 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Abundance Matrix Correlation Analysis Network Based on Hierarchical Multihead Self-Cross-Hybrid Attention for Hyperspectral Change Detection. - Wenqian Dong; Jingyu Zhao 011; Jiahui Qu; Song Xiao 001; Nan Li; Shaoxiong Hou; Yunsong Li 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Noise Prior Knowledge Informed Bayesian Inference Network for Hyperspectral Super-Resolution. - Wenqian Dong; Jiahui Qu; Song Xiao 001; Tongzhen Zhang; Yunsong Li 001; Xiuping Jia (IEEE Trans. Image Process., 2023)

Joint Contextual Representation Model-Informed Interpretable Network With Dictionary Aligning for Hyperspectral and LiDAR Classification. - Wenqian Dong; Teng Yang; Jiahui Qu; Tian Zhang; Song Xiao 001; Yunsong Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

An Interpretable Unsupervised Unrolling Network for Hyperspectral Pansharpening. - Jiahui Qu; Wenqian Dong; Yunsong Li 001; Shaoxiong Hou; Qian Du 001 (IEEE Trans. Cybern., 2023)

Learning Multi-Modal Cross-Scale Deformable Transformer Network for Unregistered Hyperspectral Image Super-resolution. - Wenqian Dong; Yang Xu; Jiahui Qu; Shaoxiong Hou (AAAI, 2024)

S2CycleDiff: Spatial-Spectral-Bilateral Cycle-Diffusion Framework for Hyperspectral Image Super-resolution. - Jiahui Qu; Jie He; Wenqian Dong; Jingyu Zhao 011 (AAAI, 2024)

LDS2AE: Local Diffusion Shared-Specific Autoencoder for Multimodal Remote Sensing Image Classification with Arbitrary Missing Modalities. - Jiahui Qu; Yuanbo Yang; Wenqian Dong; Yufei Yang (AAAI, 2024)

TimeX++: Learning Time-Series Explanations with Information Bottleneck. - Zichuan Liu; Tianchun Wang; Jimeng Shi; Xu Zheng 003; Zhuomin Chen; Lei Song 001; Wenqian Dong; Jayantha Obeysekera; Farhad Shirani 001; Dongsheng Luo (ICML, 2024)

Matrix Factorization Informed Interpretable Deep Network for Unregistered Hyperspectral and Multispectral Images Fusion. - Tongzhen Zhang; Jiahui Qu; Yunsong Li 001; Qian Du 001; Wenqian Dong (IGARSS, 2024)

Fusion from a Distributional Perspective: A Unified Symbiotic Diffusion Framework for Any Multisource Remote Sensing Data Classification. - Teng Yang; Song Xiao 001; Wenqian Dong; Jiahui Qu; Yueguang Yang (IJCAI, 2024)

Language-Guided Visual Prompt Compensation for Multi-Modal Remote Sensing Image Classification with Modality Absence. - Ling Huang; Wenqian Dong; Song Xiao 001; Jiahui Qu; Yuanbo Yang; Yunsong Li 001 (ACM Multimedia, 2024)

PAC Learnability under Explanation-Preserving Graph Perturbations. - Xu Zheng 003; Farhad Shirani 001; Tianchun Wang; Shouwei Gao; Wenqian Dong; Wei Cheng 002; Dongsheng Luo (CoRR, 2024)

Extended two-dimensional separable sensing matrix in compressive sensing. - Xiao Xue 003; Song Xiao 001; Wenqian Dong (Digit. Signal Process., 2024)

MTLSC-Diff: Multitask learning with diffusion models for hyperspectral image super-resolution and classification. - Jiahui Qu; Liusheng Xiao; Wenqian Dong; Yunsong Li 001 (Knowl. Based Syst., 2024)

CFMDM: Coarse-to-Fine Meta-Diffusion Model for Scale-Arbitrary Hyperspectral Super-Resolution. - Jizhou Cui; Wenqian Dong; Jiahui Qu; Xiaoyang Wu; Song Xiao 001; Yunsong Li 001 (IEEE Geosci. Remote. Sens. Lett., 2024)

Graph Representation Learning-Guided Diffusion Model for Hyperspectral Change Detection. - Xinyu Ding; Jiahui Qu; Wenqian Dong; Tongzhen Zhang; Nan Li; Yufei Yang (IEEE Geosci. Remote. Sens. Lett., 2024)

Incremental Detection of Hyperspectral Targets in Consistent Scenes With Continuous Learning. - Wenqian Dong; Yonghui Chen; Song Xiao 001; Jiahui Qu; Yunsong Li 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

ISPDiff: Interpretable Scale-Propelled Diffusion Model for Hyperspectral Image Super-Resolution. - Wenqian Dong; Sen Liu; Song Xiao 001; Jiahui Qu; Yunsong Li 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Contrastive Constrained Cross-Scene Model- Informed Interpretable Classification Strategy for Hyperspectral and LiDAR Data. - Wenqian Dong; Jiahui Qu; Tian Zhang; Song Xiao 001; Yunsong Li 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Progressive Multi-Iteration Registration-Fusion Co-Optimization Network for Unregistered Hyperspectral Image Super-Resolution. - Jiahui Qu; Xuyao Liu; Wenqian Dong; Yang Liu 084; Tongzhen Zhang; Yang Xu; Yunsong Li 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

A Semi-Supervised Multiscale Convolutional Sparse Coding-Guided Deep Interpretable Network for Hyperspectral Image Change Detection. - Jiahui Qu; Peicheng Yang; Wenqian Dong; Xiaohan Zhang; Yunsong Li 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Shared-Private Decoupling-Based Multilevel Feature Alignment Semisupervised Learning for HSI and LiDAR Classification. - Jiahui Qu; Lijian Zhang; Wenqian Dong; Nan Li; Yunsong Li 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Feature Mutual Representation-Based Graph Domain Adaptive Network for Unsupervised Hyperspectral Change Detection. - Jiahui Qu; Jingyu Zhao 011; Wenqian Dong; Song Xiao 001; Yunsong Li 001; Qian Du 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Parallel Compared-and-Stacked Pyramid Transformer Network for Unsupervised Hyperspectral Change Detection. - Yunshuang Xu; Song Xiao 001; Jiahui Qu; Wenqian Dong; Yunsong Li 001; Haoming Xia (IEEE Trans. Geosci. Remote. Sens., 2024)

TMCFN: Text-Supervised Multidimensional Contrastive Fusion Network for Hyperspectral and LiDAR Classification. - Yueguang Yang; Jiahui Qu; Wenqian Dong; Tongzhen Zhang; Song Xiao 001; Yunsong Li 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Graph Embedding Interclass Relation-Aware Adaptive Network for Cross-Scene Classification of Multisource Remote Sensing Data. - Teng Yang; Song Xiao 001; Jiahui Qu; Wenqian Dong; Qian Du 001; Yunsong Li 001 (IEEE Trans. Image Process., 2024)

A Spatio-Spectral Fusion Method for Hyperspectral Images Using Residual Hyper-Dense Network. - Jiahui Qu; Zhangchun Xu; Wenqian Dong; Song Xiao 001; Yunsong Li 001; Qian Du 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Deep Spatial - Spectral Joint-Sparse Prior Encoding Network for Hyperspectral Target Detection. - Wenqian Dong; Xiaoyang Wu; Jiahui Qu; Paolo Gamba; Song Xiao 001; Anna Vizziello; Yunsong Li 001 (IEEE Trans. Cybern., 2024)

HurriCast: Synthetic Tropical Cyclone Track Generation for Hurricane Forecasting. - Shouwei Gao; Meiyan Gao; Yuepeng Li; Wenqian Dong (AAAI Spring Symposia, 2025)

Hessian-based parameter perceptual fingerprint characterization for hyperspectral image classification models. - Shiqiang Dong; Song Xiao; Yaqi Liu; Jiahui Zhao; Wenqian Dong; Limeng Lu; Chenglei Luo (Neurocomputing, 2025)

Multiscale common-private feature adversarial decoupling network for hyperspectral pansharpening. - Shaoxiong Hou; Song Xiao 001; Jiahui Qu; Wenqian Dong (Knowl. Based Syst., 2025)

Registration-fusion binocular diffusion model: Exploring continuous fusion of unregistered hyperspectral and multispectral images. - Xiaoyang Wu; Jiahui Qu; Wenqian Dong; Hongxiang Li; Song Xiao 001; Yunsong Li 001 (Knowl. Based Syst., 2025)

CDAFormer: Hybrid Transformer-based contrastive domain adaptation framework for unsupervised hyperspectral change detection. - Jiahui Qu; Jingyu Zhao 011; Wenqian Dong; Jie He; Zan Li 001; Yunsong Li 001 (Neural Networks, 2025)

A Progressive Registration-Fusion Co-Optimization A-Mamba Network: Toward Deep Unregistered Hyperspectral and Multispectral Fusion. - Zan Li 001; Yue Wen; Song Xiao 001; Jiahui Qu; Nan Li; Wenqian Dong (IEEE Trans. Geosci. Remote. Sens., 2025)

Cyclic Consistency Constrained Multiview Graph Matching Network for Unsupervised Heterogeneous Change Detection. - Jiahui Qu; Wenqian Dong; Qian Du 001; Yufei Yang; Yunshuang Xu; Yunsong Li 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Progressive Synergistic Registration and Fusion Diffusion Network for Unregistered Hyperspectral and Multispectral Image Fusion. - Jiahui Qu; Jie He; Yunsong Li 001; Wenqian Dong; Sen Liu (IEEE Trans. Geosci. Remote. Sens., 2025)

IR&ArF: Toward Deep Interpretable Arbitrary Resolution Fusion of Unregistered Hyperspectral and Multispectral Images. - Jiahui Qu; Xiaoyang Wu; Wenqian Dong; Jizhou Cui; Yunsong Li 001 (IEEE Trans. Image Process., 2025)

Feature Pyramid Fusion Network for Hyperspectral Pansharpening. - Wenqian Dong; Yihan Yang; Jiahui Qu; Yunsong Li 001; Yufei Yang; Xiuping Jia (IEEE Trans. Neural Networks Learn. Syst., 2025)

Cycle-Refined Multidecision Joint Alignment Network for Unsupervised Domain Adaptive Hyperspectral Change Detection. - Jiahui Qu; Wenqian Dong; Yufei Yang; Tongzhen Zhang; Yunsong Li 001; Qian Du 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

A Principle Design of Registration-Fusion Consistency: Toward Interpretable Deep Unregistered Hyperspectral Image Fusion. - Jiahui Qu; Jizhou Cui; Wenqian Dong; Qian Du 001; Xiaoyang Wu; Song Xiao 001; Yunsong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)