Shape-Adaptive Reversible Integer Lapped Transform for Lossy-to-Lossless ROI Coding of Remote Sensing Two-Dimensional Images. - Licheng Jiao; Lei Wang 018; Jiaji Wu; Jing Bai 003; Shuang Wang 001; Biao Hou (IEEE Geosci. Remote. Sens. Lett., 2011)

Hyperspectral image compression based on lapped transform and Tucker decomposition. - Lei Wang 018; Jing Bai 003; Jiaji Wu; Gwanggil Jeon (Signal Process. Image Commun., 2015)

Gradually evolved fuzzy active contour model for auroral oval segmentation. - Jiao Shi; Yu Lei 002; Jing Bai 003; Jiaji Wu (IGARSS, 2017)

Nonlocal-Similarity-Based Sparse Coding for Hyperspectral Imagery Classification. - Jing Bai 003; Wenhao Zhang; Zhenzhen Gou; Licheng Jiao (IEEE Geosci. Remote. Sens. Lett., 2017)

PolSAR image compression based on online sparse K-SVD dictionary learning. - Jing Bai 003; Bin Liu; Lei Wang 018; Licheng Jiao (Multim. Tools Appl., 2017)

Vision-Based Lane Detection and Lane-Marking Model Inference: A Three-Step Deep Learning Approach. - Yueen Ma 001; Vincent Havyarimana; Jing Bai 003; Zhu Xiao (PAAP, 2018)

A Price-Based Optimization Strategy of Power Control and Resource Allocation in Full-Duplex Heterogeneous Macrocell-Femtocell Networks. - Fanzi Zeng; Qiao Li; Zhu Xiao; Vincent Havyarimana; Jing Bai 003 (IEEE Access, 2018)

Medical image denoising based on sparse dictionary learning and cluster ensemble. - Jing Bai 003; Shu Song; Ting Fan; Licheng Jiao (Soft Comput., 2018)

Sensor-based risk perception ability network design for drivers in snow and ice environmental freeway: a deep learning and rough sets approach. - Wei Zhao 017; Liangjie Xu; Jing Bai 003; Menglu Ji; Troy Runge (Soft Comput., 2018)

Stay Time Prediction for Individual Stay Behavior. - Jie Chen 063; Zhu Xiao; Dong Wang 016; Wang-Chen Long; Jing Bai 003; Vincent Havyarimana (IEEE Access, 2019)

Throughput Maximization for Two-Way Buffer-Aided and Energy-Harvesting Enabled Multi-Relay Networks. - Fanzi Zeng; Xiang Xiao; Zhu Xiao; Jingru Sun; Jing Bai 003; Vincent Havyarimana; Hongbo Jiang 001 (IEEE Access, 2019)

An Ensemble Cascading Extremely Randomized Trees Framework for Short-Term Traffic Flow Prediction. - Fan Zhang; Jing Bai 003; Xiaoyu Li; Changxing Pei; Vincent Havyarimana (KSII Trans. Internet Inf. Syst., 2019)

Short-term traffic volume prediction by ensemble learning in concept drifting environments. - Jianhua Xiao; Zhu Xiao; Dong Wang 016; Jing Bai 003; Vincent Havyarimana; Fanzi Zeng (Knowl. Based Syst., 2019)

Road Network Construction with Complex Intersections Based on Sparsely Sampled Private Car Trajectory Data. - Yourong Huang; Zhu Xiao; Xiaoyou Yu; Dong Wang 016; Vincent Havyarimana; Jing Bai 003 (ACM Trans. Knowl. Discov. Data, 2019)

Airplane Detection in Optical Remote Sensing Video Using Spatial and Temporal Features. - Jing Bai 003; Wentao Yu; Anran Yuan; Zhu Xiao (IJCNN, 2020)

Background Subtraction Based on GAN and Domain Adaptation for VHR Optical Remote Sensing Videos. - Wentao Yu; Jing Bai 003; Licheng Jiao (IEEE Access, 2020)

A Joint Information and Energy Cooperation Framework for CR-Enabled Macro-Femto Heterogeneous Networks. - Zhu Xiao; Fancheng Li; Hongbo Jiang 001; Jing Bai 003; Jisheng Xu; Fanzi Zeng; Min Liu 001 (IEEE Internet Things J., 2020)

A Fusion Framework Based on Sparse Gaussian-Wigner Prediction for Vehicle Localization Using GDOP of GPS Satellites. - Vincent Havyarimana; Zhu Xiao; Alexis Sibomana; Di Wu 002; Jing Bai 003 (IEEE Trans. Intell. Transp. Syst., 2020)

Hyperspectral Image Classification Based on Extended Morphological Profile Features and Ghost Module. - Size Liu; Bixiu Ding; Jing Bai 003; Zhu Xiao (IGARSS, 2021)

An Optimized Training Method for GAN-Based Hyperspectral Image Classification. - Fan Zhang; Jing Bai 003; Jingsen Zhang; Zhu Xiao; Changxing Pei (IEEE Geosci. Remote. Sens. Lett., 2021)

MODULATION SIGNAL RECOGNITION BASED ON SELECTIVE KNOWLEDGE TRANSFER. - Huaji Zhou; Xu Wang; Jing Bai 003; Zhu Xiao (GLOBECOM, 2022)

CA-ConvNeXt: Coordinate Attention on ConvNeXt for Early Alzheimer's Disease Classification. - Weikang Jin; Yue Yin; Jing Bai 003; Haowei Zhen (ICIS, 2022)

Knowledge Learning Without Forgetting for the Detection of Alzheimer's Disease. - Ruotong Liu; Yue Yin; Jing Bai 003; Xu Wang (ICIS, 2022)

Few-Shot SAR Ship Image Detection Using Two-Stage Cross-Domain Transfer Learning. - Xu Wang; Huaji Zhou; Zheng Chen 021; Jing Bai 003; Junjie Ren; Jiao Shi (IGARSS, 2022)

SMIL-DeiT: Multiple Instance Learning and Self-supervised Vision Transformer network for Early Alzheimer's disease classification. - Yue Yin; Weikang Jin; Jing Bai 003; Ruotong Liu; Haowei Zhen (IJCNN, 2022)

Electromagnetic Signal Modulation Classification Based on Multimodal Features and Reinforcement Learning. - Huaji Zhou; Zichen Zhou; Jing Bai 003 (IJCNN, 2022)

Scattering Characteristics of an Electrically-Large Aircraft Object Illuminated by Bessel Vortex Beams. - Zhe Wu; Jiaji Wu; Tan Qu; Zhensen Wu; Qiang Xu; Haiying Li; Lin Yang; Xiangshuai Meng; Jing Bai 003 (IEEE Access, 2022)

An Automated Question-Answering Framework Based on Evolution Algorithm. - Sinan Tan; Hui Xue; Qiyu Ren; Huaping Liu 001; Jing Bai 003 (CoRR, 2022)

Generative Adversarial Networks Based on Transformer Encoder and Convolution Block for Hyperspectral Image Classification. - Jing Bai 003; Jiawei Lu; Zhu Xiao; Zheng Chen 021; Licheng Jiao (Remote. Sens., 2022)

Electromagnetic Signal Classification Based on Class Exemplar Selection and Multi-Objective Linear Programming. - Huaji Zhou; Jing Bai 003; Linchun Niu; Jie Xu; Zhu Xiao; Shilian Zheng; Licheng Jiao; Xiaoniu Yang (Remote. Sens., 2022)

Two-Stream Spatial-Temporal Graph Convolutional Networks for Driver Drowsiness Detection. - Jing Bai 003; Wentao Yu; Zhu Xiao; Vincent Havyarimana; Amelia C. Regan; Hongbo Jiang 001; Licheng Jiao (IEEE Trans. Cybern., 2022)

Class Incremental Learning With Few-Shots Based on Linear Programming for Hyperspectral Image Classification. - Jing Bai 003; Anran Yuan; Zhu Xiao; Huaji Zhou; Dingchen Wang; Hongbo Jiang 001; Licheng Jiao (IEEE Trans. Cybern., 2022)

Hyperspectral Image Classification Based on Deep Attention Graph Convolutional Network. - Jing Bai 003; Bixiu Ding; Zhu Xiao; Licheng Jiao; Hongyang Chen; Amelia C. Regan (IEEE Trans. Geosci. Remote. Sens., 2022)

Few-Shot Hyperspectral Image Classification Based on Adaptive Subspaces and Feature Transformation. - Jing Bai 003; Shaojie Huang; Zhu Xiao; Xianmin Li; Yongdong Zhu; Amelia C. Regan; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2022)

Object Detection in Large-Scale Remote-Sensing Images Based on Time-Frequency Analysis and Feature Optimization. - Jing Bai 003; Junjie Ren; Yujia Yang; Zhu Xiao; Wentao Yu; Vincent Havyarimana; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2022)

Hyperspectral Image Classification Based on Superpixel Feature Subdivision and Adaptive Graph Structure. - Jing Bai 003; Wei Shi; Zhu Xiao; Amelia C. Regan; Talal Ahmed Ali Ali; Yongdong Zhu; Rui Zhang 066; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2022)

Hyperspectral Image Classification Based on Multibranch Attention Transformer Networks. - Jing Bai 003; Zheng Wen; Zhu Xiao; Fawang Ye; Yongdong Zhu; Mamoun Alazab; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2022)

Immune Evolutionary Generative Adversarial Networks for Hyperspectral Image Classification. - Jing Bai 003; Yang Zhang 064; Zhu Xiao; Fawang Ye; You Li; Mamoun Alazab; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2022)

RffAe-S: Autoencoder Based on Random Fourier Feature With Separable Loss for Unsupervised Signal Modulation Clustering. - Jing Bai 003; Yiran Wang 008; Zhu Xiao; Mamoun Alazab (IEEE Trans. Ind. Informatics, 2022)

Understanding Urban Area Attractiveness Based on Private Car Trajectory Data Using a Deep Learning Approach. - Zhu Xiao; Hui Fang; Hongbo Jiang 001; Jing Bai 003; Vincent Havyarimana; Hongyang Chen (IEEE Trans. Intell. Transp. Syst., 2022)

MsmcNet: A Modular Few-Shot Learning Framework for Signal Modulation Classification. - Yiran Wang 008; Jing Bai 003; Zhu Xiao; Huaji Zhou; Licheng Jiao (IEEE Trans. Signal Process., 2022)

An Imbalanced Signal Modulation Classification And Evaluation Method Based On Synthetic Minority Over-Sampling Technique. - Xuebo Liu 010; Yiran Wang 008; Jing Bai 003; Haoran Li; Xu Wang (IGARSS, 2023)

Community evolution prediction based on a self-adaptive timeframe in social networks. - Jingyi Ding; Tiwen Wang; Ruohui Cheng; Licheng Jiao; Jianshe Wu; Jing Bai 003 (Knowl. Based Syst., 2023)

Brain-Inspired Remote Sensing Foundation Models and Open Problems: A Comprehensive Survey. - Licheng Jiao; Zhongjian Huang; Xiaoqiang Lu; Xu Liu 006; Yuting Yang 008; Jiaxuan Zhao; Jinyue Zhang; Biao Hou; Shuyuan Yang 001; Fang Liu 001; Wenping Ma 001; Lingling Li 002; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Brain-Inspired Remote Sensing Interpretation: A Comprehensive Survey. - Licheng Jiao; Zhongjian Huang; Xu Liu 006; Yuting Yang 008; Mengru Ma; Jiaxuan Zhao; Chao You; Biao Hou; Shuyuan Yang 001; Fang Liu 001; Wenping Ma 001; Lingling Li 002; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Transformer Meets Remote Sensing Video Detection and Tracking: A Comprehensive Survey. - Licheng Jiao; Xin Zhang 008; Xu Liu 006; Fang Liu 001; Shuyuan Yang 001; Wenping Ma 001; Lingling Li 002; Puhua Chen; Zhixi Feng; Yuwei Guo 001; Xu Tang; Biao Hou; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Achieving Reliable Intervehicle Positioning Based on Redheffer Weighted Least Squares Model Under Multi-GNSS Outages. - Vincent Havyarimana; Zhu Xiao; Thabo Semong; Jing Bai 003; Hongyang Chen; Licheng Jiao (IEEE Trans. Cybern., 2023)

Hyperspectral Image Classification Using Geometric Spatial-Spectral Feature Integration: A Class Incremental Learning Approach. - Jing Bai 003; Ruotong Liu; Hai-Sheng Zhao; Zhu Xiao; Zheng Chen 021; Wei Shi; Yong Xiong; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

Understanding Private Car Aggregation Effect via Spatio-Temporal Analysis of Trajectory Data. - Zhu Xiao; Hui Fang; Hongbo Jiang 001; Jing Bai 003; Vincent Havyarimana; Hongyang Chen; Licheng Jiao (IEEE Trans. Cybern., 2023)

Encrypted Traffic Classification Framework Based on Albert. - Haoran Li; Yasheng Zhang; Mansu Gu; Jing Bai 003; Zhu Xiao; Yiran Wang 008 (IGARSS, 2024)

Silent and High Dynamic Target Recognition Using Single FM Receiver. - Kejian Song; Yiran Wang 008; Jing Bai 003; Zhu Xiao; Zhuo Zhang; Zheng Chen 021; Huaji Zhou (IGARSS, 2024)

CampusFall: A Multi-Perspective Indoor and Outdoor Fall Detection Dataset Based on Campus Surveillance. - Mansu Gu; Yiran Wang 008; Jing Bai 003; Zheng Chen 021; Jiao Shi (IJCNN, 2024)

Uncovering the Authentic RF Fingerprint: Exploiting Random Window Slicing and Complex-Valued Network. - Zhuo Zhang; Yiran Wang 008; Jing Bai 003; Zhu Xiao; Huaji Zhou (IJCNN, 2024)

Deep radio signal clustering with interpretability analysis based on saliency map. - Huaji Zhou; Jing Bai 003; Yiran Wang 008; Junjie Ren; Xiaoniu Yang; Licheng Jiao (Digit. Commun. Networks, 2024)

Cross-Dataset Model Training for Hyperspectral Image Classification Using Self-Supervised Learning. - Jing Bai 003; Zichen Zhou; Zheng Chen 021; Zhu Xiao; Erlong Wei; Yihong Wen; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2024)

Lightweight and Lifelong Hyperspectral Image Classification via Attention-Based Reservoir Computing. - Anran Yuan; Dingchen Wang; Jing Bai 003; Zhu Xiao; Zhongrui Wang; Jianqing Li 001; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2024)

AutoSMC: An Automated Machine Learning Framework for Signal Modulation Classification. - Yiran Wang 008; Jing Bai 003; Zhu Xiao; Zheng Chen 021; Yong Xiong; Hongbo Jiang 001; Licheng Jiao (IEEE Trans. Inf. Forensics Secur., 2024)

An Interpretable Explanation Approach for Signal Modulation Classification. - Jing Bai 003; Yuheng Lian; Yiran Wang 008; Junjie Ren; Zhu Xiao; Huaji Zhou; Licheng Jiao (IEEE Trans. Instrum. Meas., 2024)

Achieving Efficient Feature Representation for Modulation Signal: A Cooperative Contrast Learning Approach. - Jing Bai 003; Xu Wang; Zhu Xiao; Huaji Zhou; Talal Ahmed Ali Ali; You Li; Licheng Jiao (IEEE Internet Things J., 2024)

Integrating Prior Knowledge and Contrast Feature for Signal Modulation Classification. - Jing Bai 003; Xuebo Liu 010; Yiran Wang 008; Zhu Xiao; Feng Chen; Huaji Zhou; Licheng Jiao (IEEE Internet Things J., 2024)

Achieving Better Category Separability for Hyperspectral Image Classification: A Spatial-Spectral Approach. - Jing Bai 003; Wei Shi; Zhu Xiao; Talal Ahmed Ali Ali; Fawang Ye; Licheng Jiao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Visual Localization Method for Unmanned Aerial Vehicles in Urban Scenes Based on Shape and Spatial Relationship Matching of Buildings. - Yu Liu; Jing Bai 003; Fangde Sun (Remote. Sens., 2024)

AI meets physics: a comprehensive survey. - Licheng Jiao; Xue Song; Chao You; Xu Liu 006; Lingling Li 002; Puhua Chen; Xu Tang; Zhixi Feng; Fang Liu 001; Yuwei Guo 001; Shuyuan Yang 001; Yangyang Li 001; et al. (Artif. Intell. Rev., 2024)

Oversampling-Based Imbalanced Signal Modulation Classification via Cosine Distance and Distribution. - Jing Bai 003; Haoran Li; Yiran Wang 008; Zhu Xiao; Huaji Zhou; Licheng Jiao (IEEE Internet Things J., 2024)

Localizing From Classification: Self-Directed Weakly Supervised Object Localization for Remote Sensing Images. - Jing Bai 003; Junjie Ren; Zhu Xiao; Zheng Chen 021; Chengxi Gao; Talal Ahmed Ali Ali; Licheng Jiao (IEEE Trans. Neural Networks Learn. Syst., 2024)

ViewCAM: A Weakly Supervised Building Extraction Method Based on View Consistency and Feature Affinity Enhancement. - Jing Bai 003; Mansu Gu; Zheng Chen 021; Tong Li 013; Zhu Xiao; Ping Li; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2025)

A Multiscale Discriminative Attack Method for Automatic Modulation Classification. - Jing Bai 003; Chang Ge 011; Zhu Xiao; Hongbo Jiang 001; Tong Li 013; Huaji Zhou; Licheng Jiao (IEEE Trans. Inf. Forensics Secur., 2025)

LGG-NeXt: A Next Generation CNN and Transformer Hybrid Model for the Diagnosis of Alzheimer's Disease Using 2D Structural MRI. - Jing Bai 003; Zhengyang Zhang; Yue Yin; Weikang Jin; Talal Ahmed Ali Ali; Yong Xiong; Zhu Xiao (IEEE J. Biomed. Health Informatics, 2025)

Parameter Estimation for Adaptive Impulsive Noise Suppression: A Deep Learning-Based Memoryless Nonlinearity Approach. - Zhu Xiao; Yiqiu Zhang; Tong Li 013; Jing Bai 003; Siwang Zhou; Yonghu Zhang (IEEE Trans. Broadcast., 2025)

Robust Motion-Guided Frame Sampler With Interpretive Evaluation for Video Action Recognition. - Jing Bai 003; Yuxiang Zhang; Yiran Wang 008; Zhu Xiao; Yong Xiong; Licheng Jiao (IEEE Trans. Mob. Comput., 2025)