FTA: A File Transfer Agent Using Java. - Xu Cheng 003; Du Zhang (CAINE, 2002)

Recognizing human actions by BP-AdaBoost algorithm under a hierarchical recognition framework. - Nijun Li; Xu Cheng 003; Suofei Zhang; Zhenyang Wu (ICASSP, 2013)

Tracking Deformable Parts via Dynamic Conditional Random Fields. - Suofei Zhang; Zhixin Sun; Xu Cheng 003; Zhenyang Wu (CoRR, 2013)

Adaptive object detection by implicit sub-class sharing features. - Suofei Zhang; Nijun Li; Xu Cheng 003; Zhenyang Wu (Signal Process., 2013)

Visual Tracking via Sparse Representation and Online Dictionary Learning. - Xu Cheng 003; Nijun Li; Tongchi Zhou; Lin Zhou 001; Zhenyang Wu (AMMDS, 2014)

Tracking deformable parts via dynamic conditional random fields. - Suofei Zhang; Xu Cheng 003; Haiyan Guo; Lin Zhou 001; Zhenyang Wu (ICIP, 2014)

A Hybrid Method for Human Interaction Recognition Using Spatio-temporal Interest Points. - Nijun Li; Xu Cheng 003; Haiyan Guo; Zhenyang Wu (ICPR, 2014)

Robust Visual Tracking with SIFT Features and Fragments Based on Particle Swarm Optimization. - Xu Cheng 003; Nijun Li; Suofei Zhang; Zhenyang Wu (Circuits Syst. Signal Process., 2014)

A Particle Swarm Optimization Algorithm with Local Sparse Representation for Visual Tracking. - Xu Cheng 003; Nijun Li; Tongchi Zhou; Lin Zhou 001; Zhenyang Wu (J. Comput., 2014)

Realistic human action recognition by Fast HOG3D and self-organization feature map. - Nijun Li; Xu Cheng 003; Suofei Zhang; Zhenyang Wu (Mach. Vis. Appl., 2014)

A study of relative motion point trajectories for action recognition. - Tongchi Zhou; Nijun Li; Xu Cheng 003; Qinjun Xu; Lin Zhou 001; Zhenyang Wu (WCSP, 2015)

Object tracking via collaborative multi-task learning and appearance model updating. - Xu Cheng 003; Nijun Li; Tongchi Zhou; Lin Zhou 001; Zhenyang Wu (Appl. Soft Comput., 2015)

Multi-Task Object Tracking with Feature Selection. - Xu Cheng 003; Nijun Li; Tongchi Zhou; Zhenyang Wu; Lin Zhou 001 (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015)

Robust Superpixel Tracking with Weighted Multiple-Instance Learning. - Xu Cheng 003; Nijun Li; Tongchi Zhou; Lin Zhou 001; Zhenyang Wu (IEICE Trans. Inf. Syst., 2015)

Object Tracking with Embedded Deformable Parts in Dynamic Conditional Random Fields. - Suofei Zhang; Zhixin Sun; Xu Cheng 003; Lin Zhou 001 (IEICE Trans. Inf. Syst., 2016)

Learning semantic context feature-tree for action recognition via nearest neighbor fusion. - Tongchi Zhou; Nijun Li; Xu Cheng 003; Qinjun Xu; Lin Zhou 001; Zhenyang Wu (Neurocomputing, 2016)

Recognizing human interactions by genetic algorithm-based random forest spatio-temporal correlation. - Nijun Li; Xu Cheng 003; Haiyan Guo; Zhenyang Wu (Pattern Anal. Appl., 2016)

Object Tracking via Temporal Consistency Dictionary Learning. - Xu Cheng 003; Yifeng Zhang 001; Jinshi Cui; Lin Zhou 001 (IEEE Trans. Syst. Man Cybern. Syst., 2017)

An Attention-Based Approach for Single Image Super Resolution. - Yuan Liu; Yuancheng Wang; Nan Li; Xu Cheng 003; Yifeng Zhang 001; Yongming Huang 001; Guojun Lu (ICPR, 2018)

Modeling and Analysis of Motion Data from Dynamically Positioned Vessels for Sea State Estimation. - Xu Cheng 003; Guoyuan Li; Robert Skulstad; Shengyong Chen; Hans Petter Hildre; Houxiang Zhang (ICRA, 2019)

Weighted Multiple Instance-Based Deep Correlation Filter for Video Tracking Processing. - Xu Cheng 003; Yongxiang Gu; Beijing Chen; Yifeng Zhang 001; Jingang Shi (IEEE Access, 2019)

SpectralSeaNet: Spectrogram and Convolutional Network-based Sea State Estimation. - Xu Cheng 003; Guoyuan Li; Robert Skulstad; Houxiang Zhang; Shengyong Chen (IECON, 2020)

A Novel Channel and Temporal-Wise Attention in Convolutional Networks for Multivariate Time Series Classification. - Xu Cheng 003; Peihua Han; Guoyuan Li; Shengyong Chen; Houxiang Zhang (IEEE Access, 2020)

Learning attention for object tracking with adversarial learning network. - Xu Cheng 003; Chen Song; Yongxiang Gu; Beijing Chen (EURASIP J. Image Video Process., 2020)

The secure steganography for hiding images via GAN. - Zhangjie Fu; Fan Wang; Xu Cheng 003 (EURASIP J. Image Video Process., 2020)

Siamese network for real-time tracking with action-selection. - Zhuoyi Zhang; Yifeng Zhang 001; Xu Cheng 003; Ke Li (J. Real Time Image Process., 2020)

Multitask Multisource Deep Correlation Filter for Remote Sensing Data Fusion. - Xu Cheng 003; Yuhui Zheng; Jianwei Zhang 005; Zhangjing Yang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Visual Tracking via Auto-Encoder Pair Correlation Filter. - Xu Cheng 003; Yifeng Zhang 001; Lin Zhou 001; Yuhui Zheng (IEEE Trans. Ind. Electron., 2020)

A Novel Densely Connected Convolutional Neural Network for Sea-State Estimation Using Ship Motion Data. - Xu Cheng 003; Guoyuan Li; André Listou Ellefsen; Shengyong Chen; Hans Petter Hildre; Houxiang Zhang (IEEE Trans. Instrum. Meas., 2020)

Online Fault Detection in Autonomous Ferries: Using Fault-Type Independent Spectral Anomaly Detection. - André Listou Ellefsen; Peihua Han; Xu Cheng 003; Finn Tore Holmeset; Vilmar Æsøy; Houxiang Zhang (IEEE Trans. Instrum. Meas., 2020)

Intensive Flux Analysis in Concentrative Solar Power Applications Using Commercial Camera. - Jinshan Xu; Song Li; Zhongyuan Ruan; Xu Cheng 003; Xianghui Hou; Shengyong Chen (IEEE Trans. Instrum. Meas., 2020)

Multi-Task Deep Dual Correlation Filters for Visual Tracking. - Yuhui Zheng; Xinyan Liu; Xu Cheng 003; Kaihua Zhang 001; Yi Wu 001; Shengyong Chen (IEEE Trans. Image Process., 2020)

ACFIM: Adaptively Cyclic Feature Information-Interaction Model for Object Detection. - Chen Song; Xu Cheng 003; Lihua Liu; Daqiu Li (PRCV (1), 2021)

Online dual dictionary learning for visual object tracking. - Xu Cheng 003; Yifeng Zhang 001; Lin Zhou 001; Guojun Lu (J. Ambient Intell. Humaniz. Comput., 2021)

Siamese network for object tracking with multi-granularity appearance representations. - Zhuoyi Zhang; Yifeng Zhang 001; Xu Cheng 003; Guojun Lu (Pattern Recognit., 2021)

A Cyclic Information-Interaction Model for Remote Sensing Image Segmentation. - Xu Cheng 003; Lihua Liu; Chen Song (Remote. Sens., 2021)

Semantic Segmentation With Light Field Imaging and Convolutional Neural Networks. - Chen Jia; Fan Shi 001; Meng Zhao 001; Yao Zhang 021; Xu Cheng 003; Mianzhao Wang; Shengyong Chen (IEEE Trans. Instrum. Meas., 2021)

LFBCNet: Light Field Boundary-aware and Cascaded Interaction Network for Salient Object Detection. - Mianzhao Wang; Fan Shi 001; Xu Cheng 003; Meng Zhao 001; Yao Zhang 021; Chen Jia; Weiwei Tian; Shengyong Chen (ACM Multimedia, 2022)

Gated Convolutional Neural Network for Wind Turbine Blade Icing Detection. - Weiwei Tian; Xu Cheng 003; Fan Shi 001; Guoyuan Li; Shengyong Chen; Houxiang Zhang (RCAR, 2022)

Flexible-Modal Face Anti-Spoofing: A Benchmark. - Zitong Yu; Chenxu Zhao; Kevin H. M. Cheng; Xu Cheng 003; Guoying Zhao 001 (CoRR, 2022)

Dynamic Temporal-Spatial Regularization-Based Channel Weight Correlation Filter for Aerial Object Tracking. - Licheng Jiang; Yuhui Zheng; Xu Cheng 003; Byeungwoo Jeon (IEEE Geosci. Remote. Sens. Lett., 2022)

An Enhanced Lightweight Convolutional Neural Network for Ship Detection in Maritime Surveillance System. - Yifan Yin; Xu Cheng 003; Fan Shi 001; Meng Zhao 001; Guoyuan Li; Shengyong Chen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Multi-Task Convolution Operators With Object Detection for Visual Tracking. - Yuhui Zheng; Xinyan Liu; Bin Xiao 002; Xu Cheng 003; Yi Wu 001; Shengyong Chen (IEEE Trans. Circuits Syst. Video Technol., 2022)

Temporal Attention Convolutional Neural Network for Estimation of Icing Probability on Wind Turbine Blades. - Xu Cheng 003; Fan Shi 001; Meng Zhao 001; Guoyuan Li; Houxiang Zhang; Shengyong Chen (IEEE Trans. Ind. Electron., 2022)

A Class-Imbalanced Heterogeneous Federated Learning Model for Detecting Icing on Wind Turbine Blades. - Xu Cheng 003; Fan Shi 001; Yongping Liu; Jiehan Zhou; Xiufeng Liu; Lizhen Huang (IEEE Trans. Ind. Informatics, 2022)

A Blockchain-Empowered Cluster-Based Federated Learning Model for Blade Icing Estimation on IoT-Enabled Wind Turbine. - Xu Cheng 003; Weiwei Tian; Fan Shi 001; Meng Zhao 001; Shengyong Chen; Hao Wang 003 (IEEE Trans. Ind. Informatics, 2022)

An Uncertainty-Aware Hybrid Approach for Sea State Estimation Using Ship Motion Responses. - Peihua Han; Guoyuan Li; Xu Cheng 003; Stian Skjong; Houxiang Zhang (IEEE Trans. Ind. Informatics, 2022)

Data-Driven Modeling for Transferable Sea State Estimation Between Marine Systems. - Xu Cheng 003; Guoyuan Li; Peihua Han; Robert Skulstad; Shengyong Chen; Houxiang Zhang (IEEE Trans. Intell. Transp. Syst., 2022)

An Online Multiobject Tracking Network for Autonomous Driving in Areas Facing Epidemic. - Mianzhao Wang; Fan Shi 001; Meng Zhao 001; Chen Jia; Weiwei Tian; Tian He; Yu Fu; Xu Cheng 003 (IEEE Trans. Intell. Transp. Syst., 2022)

A Novel Deep Class-Imbalanced Semisupervised Model for Wind Turbine Blade Icing Detection. - Xu Cheng 003; Fan Shi 001; Xiufeng Liu; Meng Zhao 001; Shengyong Chen (IEEE Trans. Neural Networks Learn. Syst., 2022)

TOPLight: Lightweight Neural Networks with Task-Oriented Pretraining for Visible-Infrared Recognition. - Hao Yu; Xu Cheng 003; Wei Peng 009 (CVPR, 2023)

Flexible-Modal Face Anti-Spoofing: A Benchmark. - Zitong Yu; Ajian Liu 001; Chenxu Zhao; Kevin H. M. Cheng; Xu Cheng 003; Guoying Zhao 001 (CVPR Workshops, 2023)

Modality Unifying Network for Visible-Infrared Person Re-Identification. - Hao Yu; Xu Cheng 003; Wei Peng 009; Weihao Liu; Guoying Zhao 001 (ICCV, 2023)

Feature Enhancement Based Multi-Feature Fusion Network for Video Anomaly Detection in Offshore Surbeillance. - Jiacheng Gao; Xu Cheng 003; Xiufeng Liu; Fan Shi 001; Meng Zhao 001; Shengyong Chen (ICMLC, 2023)

Advancing 3D finger knuckle recognition via deep feature learning. - Kevin H. M. Cheng; Xu Cheng 003; Guoying Zhao 001 (CoRR, 2023)

FFR-SSD: feature fusion and reconstruction single shot detector for multi-scale object detection. - Xu Cheng 003; Zhixiang Wang; Chen Song; Zitong Yu (Signal Image Video Process., 2023)

FedBIP: A Federated Learning-Based Model for Wind Turbine Blade Icing Prediction. - Dongtian Zhang; Weiwei Tian; Xu Cheng 003; Fan Shi 001; Hong Qiu; Xiufeng Liu; Shengyong Chen (IEEE Trans. Instrum. Meas., 2023)

Learning Spatial-Temporal Features of Fiber-Optical Data With Multi-scale Double Dynamic Network for Human Intrusion Detection. - Shuo Zhao; Zhongwen Guo; Xu Cheng 003; Sining Jiang; Wenchang Zhao; Hao Wang 003 (IEEE Trans. Instrum. Meas., 2023)

Visual Object Tracking Based on Light-Field Imaging in the Presence of Similar Distractors. - Mianzhao Wang; Fan Shi 001; Xu Cheng 003; Meng Zhao 001; Yao Zhang 021; Chen Jia; Weiwei Tian; Shengyong Chen (IEEE Trans. Ind. Informatics, 2023)

SANet: A novel segmented attention mechanism and multi-level information fusion network for 6D object pose estimation. - Xinbo Geng; Fan Shi 001; Xu Cheng 003; Chen Jia; Mianzhao Wang; Shengyong Chen; Hongning Dai (Comput. Commun., 2023)

POEM: A prototype cross and emphasis network for few-shot semantic segmentation. - Xu Cheng 003; Haoyuan Li; Shuya Deng; Yonghong Peng (Comput. Vis. Image Underst., 2023)

A Novel Class-Imbalanced Ship Motion Data-Based Cross-Scale Model for Sea State Estimation. - Xu Cheng 003; Kexin Wang; Xiufeng Liu; Qian Yu; Fan Shi 001; Zhengru Ren; Shengyong Chen (IEEE Trans. Intell. Transp. Syst., 2023)

Coordination and Optimization Control Framework for Vessels Platooning in Inland Waterborne Transportation System. - Wei Tao; Man Zhu; Shengyong Chen; Xu Cheng 003; Yuanqiao Wen; Weidong Zhang 004; Rudy R. Negenborn; Yusong Pang (IEEE Trans. Intell. Transp. Syst., 2023)

Differentiable Auxiliary Learning for Sketch Re-Identification. - Xingyu Liu; Xu Cheng 003; Haoyu Chen 001; Hao Yu; Guoying Zhao 001 (AAAI, 2024)

3D Convolutional Network based micro-gesture recognition. - Congyue Zhang; Wenjie Fu 010; Canrong Tian; Xu Cheng 003; Yuan Tian 003; Hao Yu (ACM TUR-C, 2024)

Robust Classification of Incomplete Time Series with Noisy Labels. - Xin Qin; Pengshuai Yao; Mengna Liu; Xu Cheng 003; Fan Shi 001; Lili Guo (CSCWD, 2024)

Domain Shifting: A Generalized Solution for Heterogeneous Cross-Modality Person Re-Identification. - Yan Jiang; Xu Cheng 003; Hao Yu; Xingyu Liu; Haoyu Chen 001; Guoying Zhao 001 (ECCV (72), 2024)

Multiscale Wavelet-Driven Transformerfor Blade Icing Detection. - Dong Xiang; Xu Cheng 003; Sizhuo Chen; Mengna Liu; Fan Shi 001; Xiufeng Liu (FAIML, 2024)

A Comprehensive Analysis of LNG-powered and Battery-powered Ships in Current Maritime Operations. - Runze Mao; Yuanjiang Li; Kai Liu; Jingfeng Liu; Xu Cheng 003; Houxiang Zhang (RCAR, 2024)

UP-Phys: Exploring the Effect of Prior Knowledge in Unsupervised Remote Photoplethysmography. - Yan Jiang; Mingyue Cao; Hao Yu; Xingyu Liu; Xu Cheng 003 (RePSS@IJCAI, 2024)

Disentangling Imperfect: A Wavelet-Infused Multilevel Heterogeneous Network for Human Activity Recognition in Flawed Wearable Sensor Data. - Mengna Liu; Dong Xiang; Xu Cheng 003; Xiufeng Liu; Dalin Zhang 001; Shengyong Chen; Christian S. Jensen (CoRR, 2024)

An End-to-End Model for Time Series Classification In the Presence of Missing Values. - Pengshuai Yao; Mengna Liu; Xu Cheng 003; Fan Shi 001; Huan Li 003; Xiufeng Liu; Shengyong Chen (CoRR, 2024)

Staircase Cascaded Fusion of Lightweight Local Pattern Recognition and Long-Range Dependencies for Structural Crack Segmentation. - Hui Liu; Chen Jia; Fan Shi 001; Xu Cheng 003; Mianzhao Wang; Shengyong Chen (CoRR, 2024)

Exploring modality enhancement and compensation spaces for visible-infrared person re-identification. - Xu Cheng 003; Shuya Deng; Hao Yu (Image Vis. Comput., 2024)

Discovering attention-guided cross-modality correlation for visible-infrared person re-identification. - Hao Yu; Xu Cheng 003; Kevin Ho Man Cheng; Wei Peng 009; Zitong Yu; Guoying Zhao 001 (Pattern Recognit., 2024)

Multilevel Signal Decomposition Layer-Specific Residual Network for Blade Icing Prediction. - Dong Xiang; Sizhuo Chen; Mengna Liu; Fan Shi 001; Xu Cheng 003 (IEEE Signal Process. Lett., 2024)

High-Order Spatial Interactions Enhanced Lightweight Model for Optical Remote Sensing Image-Based Small Ship Detection. - Yifan Yin; Xu Cheng 003; Fan Shi 001; Xiufeng Liu; Huan Huo; Shengyong Chen (IEEE Trans. Geosci. Remote. Sens., 2024)

LET-UP: A Lightweight, Efficient Binarized Transformer for Point Cloud Upsampling. - Yunrui Zhu; Zhiyong Zhang; Ruyu Liu; Jianhua Zhang 002; Xu Cheng 003; Shengyong Chen (IEEE Trans. Instrum. Meas., 2024)

A Prototype-Empowered Kernel-Varying Convolutional Model for Imbalanced Sea State Estimation in IoT-Enabled Autonomous Ship. - Mengna Liu; Xu Cheng 003; Fan Shi 001; Xiufeng Liu; Hongning Dai; Shengyong Chen (IEEE Trans. Sustain. Comput., 2024)

Selective Feature Fusion and Irregular-Aware Network for Pavement Crack Detection. - Xu Cheng 003; Tian He; Fan Shi 001; Meng Zhao 001; Xiufeng Liu; Shengyong Chen (IEEE Trans. Intell. Transp. Syst., 2024)

SAFENESS: A Semi-Supervised Transfer Learning Approach for Sea State Estimation Using Ship Motion Data. - Xu Cheng 003; Guoyuan Li; Robert Skulstad; Houxiang Zhang (IEEE Trans. Intell. Transp. Syst., 2024)

Accurate Perception and Association of Objects for Humanoid Robots Under Dynamic Visual SLAM. - Kaiqi Chen; Jialing Liu; Qiyi Tong; Xu Cheng 003; Jianhua Zhang 002 (Int. J. Humanoid Robotics, 2024)

Prompt Learning for Light Field Semantic Segmentation in the Consumer-Centric Internet of Intelligent Computing Things. - Chen Jia; Fan Shi 001; Xiufeng Liu; Xu Cheng 003; Zixuan Zhang; Meng Zhao 001; Shengyong Chen (IEEE Trans. Consumer Electron., 2024)

ST-Phys: Unsupervised Spatio-Temporal Contrastive Remote Physiological Measurement. - Mingyue Cao; Xu Cheng 003; Xingyu Liu; Yan Jiang; Hao Yu; Jingang Shi (IEEE J. Biomed. Health Informatics, 2024)

Bilevel Fusion With Local and Global Cues for Point Cloud Upsampling. - Yunrui Zhu; Zhiyong Zhang; Xu Cheng 003; Jianhua Zhang 002 (IEEE Trans. Ind. Informatics, 2024)

Computational Methods for Blade Icing Detection of Wind Turbines - Xu Cheng 003; Fan Shi 001; Xiufeng Liu; Shengyong Chen (Springer, 2025)

FreeNet: Liberating Depth-Wise Separable Operations for Building Faster Mobile Vision Architectures. - Hao Yu; Haoyu Chen 001; Wei Peng 009; Xu Cheng 003; Guoying Zhao 001 (AAAI, 2025)

Can Students Beyond the Teacher? Distilling Knowledge from Teacher's Bias. - Jianhua Zhang 002; Yi Gao; Ruyu Liu; Xu Cheng 003; Houxiang Zhang; Shengyong Chen (AAAI, 2025)

QCTKD-PU: Quantum Convolutional Transformer with Knowledge Distillation for Efficient and Robust Point Cloud Upsampling. - Yunrui Zhu; Zhiyong Zhang; Ruyu Liu; Xu Cheng 003; Jianhua Zhang 002; Shengyong Chen (CSCWD, 2025)

From Laboratory to Real World: A New Benchmark Towards Privacy-Preserved Visible-Infrared Person Re-Identification. - Yan Jiang; Hao Yu; Xu Cheng 003; Haoyu Chen 001; Zhaodong Sun; Guoying Zhao 001 (CVPR, 2025)

SCSegamba: Lightweight Structure-Aware Vision Mamba for Crack Segmentation in Structures. - Hui Liu; Chen Jia; Fan Shi 001; Xu Cheng 003; Shengyong Chen (CVPR, 2025)

Serial Local Patterns and Irregular Dependencies Extract and Cascaded Fusion Network for Structural Crack Segmentation. - Hui Liu; Chen Jia; Xu Cheng 003; Xiufeng Liu; Fan Shi 001 (ICASSP, 2025)

Collaborative Association Network for Multi-view Multi-Human Association and Tracking using Constraint Optimization and Object Search. - Zixuan Zhang; Fan Shi 001; Chen Jia; Meng Zhao 001; Xu Cheng 003 (ICASSP, 2025)

Efficient Large-Scale Scene Point Cloud Upsampling with Implicit Neural Networks and Spatial Hashing. - Zhiyong Zhang; Yunrui Zhu; Ruyu Liu; Xu Cheng 003; Jianhua Zhang 002; Xiufeng Liu (ICASSP, 2025)

An end-to-end model for time series classification in the presence of missing values. - Mengna Liu; Pengshuai Yao; Xu Cheng 003; Shengyong Chen (Expert Syst. Appl., 2025)

A contrastive clustering loss function increases class-balanced in time series classification. - Chaomin Wu; Xu Cheng 003; Hao Wang 003 (Expert Syst. Appl., 2025)

DMANet: Dual-modality alignment network for visible-infrared person re-identification. - Xu Cheng 003; Shuya Deng; Hao Yu; Guoying Zhao 001 (Pattern Recognit., 2025)

SVD-KD: SVD-based hidden layer feature extraction for Knowledge distillation. - Jianhua Zhang 002; Yi Gao; Mian Zhou; Ruyu Liu; Xu Cheng 003; Sasa V. Nikolic; Shengyong Chen (Pattern Recognit., 2025)

MDANet: Modality-Aware Domain Alignment Network for Visible-Infrared Person Re-Identification. - Xu Cheng 003; Hao Yu; Kevin Ho Man Cheng; Zitong Yu; Guoying Zhao 001 (IEEE Trans. Multim., 2025)

DSAF: Dual Space Alignment Framework for Visible-Infrared Person Re-Identification. - Yan Jiang; Xu Cheng 003; Hao Yu; Xingyu Liu; Haoyu Chen 001; Guoying Zhao 001 (IEEE Trans. Multim., 2025)

Dual-Path Imbalanced Feature Compensation Network for Visible-Infrared Person Re-Identification. - Xu Cheng 003; Zichun Wang; Yan Jiang; Xingyu Liu; Hao Yu; Jingang Shi; Zitong Yu (ACM Trans. Multim. Comput. Commun. Appl., 2025)

A Novel Robustness-Enhancing Adversarial Defense Approach to AI-Powered Sea State Estimation for Autonomous Marine Vessels. - Shuxin Li; Xu Cheng 003; Fan Shi 001; Hanwei Zhang 001; Hongning Dai; Houxiang Zhang; Shengyong Chen (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Prototype-based Heterogeneous Federated Learning for Blade Icing Detection in Wind Turbines with Class Imbalanced Data. - Lele Qi; Mengna Liu; Xu Cheng 003; Fan Shi 001; Xiufeng Liu; Shengyong Chen (CoRR, 2025)

FRAME: Feature Rectification for Class Imbalance Learning. - Xu Cheng 003; Fan Shi 001; Yao Zhang 021; Huan Li 003; Xiufeng Liu; Shengyong Chen (IEEE Trans. Knowl. Data Eng., 2025)

Dynamic Graph-Like Learning with Contrastive Clustering on Temporally-Factored Ship Motion Data for Imbalanced Sea State Estimation in Autonomous Vessel. - Kexin Wang; Mengna Liu; Xu Cheng 003; Fan Shi 001; Shanshan Qi; Shengyong Chen (CoRR, 2025)

Dual-Branch Semantic Enhancement Network Joint With Iterative Self-Matching Training Strategy for Semi-Supervised Semantic Segmentation. - Feng Xiao 005; Ruyu Liu; Xu Cheng 003; Haoyu Zhang; Jianhua Zhang 002; Yaochu Jin (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

An Angular-Temporal Interaction Network for Light Field Object Tracking in Low-Light Scenes. - Mianzhao Wang; Fan Shi 001; Xu Cheng 003; Feifei Zhang; Shengyong Chen (CoRR, 2025)

LIDAR: Lightweight Adaptive Cue-Aware Fusion Vision Mamba for Multimodal Segmentation of Structural Cracks. - Hui Liu; Chen Jia; Fan Shi 001; Xu Cheng 003; Mengfei Shi; Xia Xie; Shengyong Chen (CoRR, 2025)

Leveragable Adaptive Multi-Scale Features and Learnable Prototypes for Imbalanced Sea State Estimation Based on Ship Motion Data. - Zhichao Xu; Mengna Liu; Tianjiao Li; Xiufeng Liu; Xu Cheng 003; Shengyong Chen (IEEE Trans. Intell. Transp. Syst., 2025)

Multi-scene low-light remote physiological measurement database. - Junjun Wu; Zuxian He; Ying Wang; Yan Jiang; Xu Cheng 003 (Mach. Vis. Appl., 2025)

Multi-branch perturbation learning with constraint simulation for semi-supervised semantic segmentation. - Ruyu Liu; Feng Xiao 005; Jianhua Zhang 002; Xiufeng Liu; Xu Cheng 003; Shengyong Chen; Bo Sun; Houxiang Zhang (Pattern Recognit., 2026)

Light field collaborative perception for visual object tracking. - Mianzhao Wang; Fan Shi 001; Xu Cheng 003; Meng Zhao 001 (Pattern Recognit., 2026)