A Cross-Modal Semantic Mapping Enhancement Model for Remote Sensing Visual Question Answering - Dabiao Huang; Xu Tang; Xiangrong Zhang; Fang Liu; Jingjing Ma; Cheng Zhu; Licheng Jiao (IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, July 7-12, 2024, 2024)

Fourier Domain Adaptive Multi-Modal Remote Sensing Image Template Matching Based on Siamese Network - Chonghua Lv; Wei Wang; Dou Quan; Shuang Wang; Le Dong; Xiangming Jiang; Yu Gu; Licheng Jiao (IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, July 7-12, 2024, 2024)

Time-Guided Network for Remote Sensing Change Detection - Tingrui Zhang; Xu Tang; Xiangrong Zhang; Jingjing Ma; Fang Liu; Cheng Zhu; Licheng Jiao (IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, July 7-12, 2024, 2024)

Pseudo-Viewpoint Regularized 3D Gaussian Splatting For Remote Sensing Few-Shot Novel View Synthesis - Yijing Wang; Xu Tang; Jingjing Ma; Xiangrong Zhang; Cheng Zhu; Fang Liu; Licheng Jiao (IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, July 7-12, 2024, 2024)

Oriented Target Detection in Remote Sensing Images Based on Multi-Scale Feature Fusion and Feature Compensation - Jiahao Shen; Yangyang Li; Ruijiao Liu; Xuanwei Guo; Ronghua Shang; Licheng Jiao (IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, July 7-12, 2024, 2024)

Center Mask Self-Attention Network for Hyperspectral Image Classification - Yizhou Zou; Xu Tang; Yue Ma; Jingjing Ma; Cheng Zhu; Xiangrong Zhang; Licheng Jiao (IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, July 7-12, 2024, 2024)

A Dual-Branch Network for End-to-End Point-Supervised Object Detection on Remote Sensing Images - Haotian Yan; Jie Feng; Junpeng Zhang; Ronghua Shang; Xiangrong Zhang; Licheng Jiao (IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, July 7-12, 2024, 2024)

Multi-Scale Sparse Transformer for Remote Sensing Scene Classification - Wei Jiang; Xu Tang; Zhixi Feng; Yue Ma; Jingjing Ma; Xiangrong Zhang; Licheng Jiao (IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, July 7-12, 2024, 2024)

Multi-Scale Co-Attention Learning For SAR Image Change Detection - Dan Zhang; Xu Liu; Licheng Jiao; Fang Liu (IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, July 7-12, 2024, 2024)

Learnable Prompts-Based Transformers for Domain Generalization of Hyperspectral Image Classification - Baofa He; Jie Feng; Di Li; Ronghua Shang; Jinjian Wu; Licheng Jiao (IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, July 7-12, 2024, 2024)

Evolutionary Complex-Valued CNN for PolSAR Image Classification - Mengxuan Zhang; Jingyuan Shi; Long Liu; Xilu Wang; Licheng Jiao (International Joint Conference on Neural Networks, IJCNN 2024, Yokohama, Japan, June 30 - July 5, 2024, 2024)

Domain Generalization-Aware Uncertainty Introspective Learning for 3D Point Clouds Segmentation - Pei He; Licheng Jiao; Lingling Li; Xu Liu; Fang Liu; Wenping Ma; Shuyuan Yang; Ronghua Shang (Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024 - 1 November 2024, 2024)

Accurate and Lightweight Learning for Specific Domain Image-Text Retrieval - Rui Yang; Shuang Wang; Jianwei Tao; Yingping Han; Qiaoling Lin; Yanhe Guo; Biao Hou; Licheng Jiao (Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024 - 1 November 2024, 2024)

A match made in consistency heaven: when large language models meet evolutionary algorithms - Wang Chao; Jiaxuan Zhao; Licheng Jiao; Lingling Li; Fang Liu; Shuyuan Yang (CoRR, 2024)

Geometric Prior Guided Feature Representation Learning for Long-Tailed Classification - Yanbiao Ma; Licheng Jiao; Fang Liu; Shuyuan Yang; Xu Liu; Puhua Chen (CoRR, 2024)

SA-MixNet: Structure-aware Mixup and Invariance Learning for Scribble-supervised Road Extraction in Remote Sensing Images - Jie Feng; Hao Huang; Junpeng Zhang; Weisheng Dong; Dingwen Zhang; Licheng Jiao (CoRR, 2024)

Unveiling and Mitigating Generalized Biases of DNNs through the Intrinsic Dimensions of Perceptual Manifolds - Yanbiao Ma; Licheng Jiao; Fang Liu; Lingling Li; Wenping Ma; Shuyuan Yang; Xu Liu; Puhua Chen (CoRR, 2024)

Exploring Beyond Logits: Hierarchical Dynamic Labeling Based on Embeddings for Semi-Supervised Classification - Yanbiao Ma; Licheng Jiao; Fang Liu; Lingling Li; Shuyuan Yang; Xu Liu (CoRR, 2024)

S\(^2\)Mamba: A Spatial-spectral State Space Model for Hyperspectral Image Classification - Guanchun Wang; Xiangrong Zhang; Zelin Peng; Tianyang Zhang; Xiuping Jia; Licheng Jiao (CoRR, 2024)

Edit-Your-Motion: Space-Time Diffusion Decoupling Learning for Video Motion Editing - Yi Zuo; Lingling Li; Licheng Jiao; Fang Liu; Xu Liu; Wenping Ma; Shuyuan Yang; Yuwei Guo (CoRR, 2024)

Transcending Fusion: A Multi-Scale Alignment Method for Remote Sensing Image-Text Retrieval - Rui Yang; Shuang Wang; Yingping Han; Yuanheng Li; Dong Zhao; Dou Quan; Yanhe Guo; Licheng Jiao (CoRR, 2024)

Automatic Graph Topology-Aware Transformer - Chao Wang; Jiaxuan Zhao; Lingling Li; Licheng Jiao; Fang Liu; Shuyuan Yang (CoRR, 2024)

3rd Place Solution for MOSE Track in CVPR 2024 PVUW workshop: Complex Video Object Segmentation - Xinyu Liu; Jing Zhang; Kexin Zhang; Yuting Yang; Licheng Jiao; Shuyuan Yang (CoRR, 2024)

Multiplane Prior Guided Few-Shot Aerial Scene Rendering - Zihan Gao; Licheng Jiao; Lingling Li; Xu Liu; Fang Liu; Puhua Chen; Yuwei Guo (CoRR, 2024)

Stable Neighbor Denoising for Source-free Domain Adaptive Segmentation - Dong Zhao; Shuang Wang; Qi Zang; Licheng Jiao; Nicu Sebe; Zhun Zhong (CoRR, 2024)

Multi-Teacher Multi-Objective Meta-Learning for Zero-Shot Hyperspectral Band Selection - Jie Feng; Xiaojian Zhong; Di Li; Weisheng Dong; Ronghua Shang; Licheng Jiao (CoRR, 2024)

Technique Report of CVPR 2024 PBDL Challenges - Ying Fu; Yu Li; Shaodi You; Boxin Shi; Jose Alvarez; Coert Van Gemeren; Linwei Chen; Yunhao Zou; Zichun Wang; Yichen Li; Yuze Han; Yingkai Zhang; et al. (CoRR, 2024)

V3Det Challenge 2024 on Vast Vocabulary and Open Vocabulary Object Detection: Methods and Results - Jiaqi Wang; Yuhang Zang; Pan Zhang; Tao Chu; Yuhang Cao; Zeyi Sun; Ziyu Liu; Xiaoyi Dong; Tong Wu; Dahua Lin; Zeming Chen; Zhi Wang; et al. (CoRR, 2024)

PVUW 2024 Challenge on Complex Video Understanding: Methods and Results - Henghui Ding; Chang Liu; Yunchao Wei; Nikhila Ravi; Shuting He; Song Bai; Philip Torr; Deshui Miao; Xin Li; Zhenyu He; Yaowei Wang; Ming-Hsuan Yang; et al. (CoRR, 2024)

Fast and Efficient: Mask Neural Fields for 3D Scene Segmentation - Zihan Gao; Lingling Li; Licheng Jiao; Fang Liu; Xu Liu; Wenping Ma; Yuwei Guo; Shuyuan Yang (CoRR, 2024)

Masked Angle-Aware Autoencoder for Remote Sensing Images - Zhihao Li; Biao Hou; Siteng Ma; Zitong Wu; Xianpeng Guo; Bo Ren; Licheng Jiao (CoRR, 2024)

CSS-Segment: 2nd Place Report of LSVOS Challenge VOS Track - Jinming Chai; Qin Ma; Junpei Zhang; Licheng Jiao; Fang Liu (CoRR, 2024)

S4DL: Shift-sensitive Spatial-Spectral Disentangling Learning for Hyperspectral Image Unsupervised Domain Adaptation - Jie Feng; Tianshu Zhang; Junpeng Zhang; Ronghua Shang; Weisheng Dong; Guangming Shi; Licheng Jiao (CoRR, 2024)

Renormalized Connection for Scale-preferred Object Detection in Satellite Imagery - Fan Zhang; Lingling Li; Licheng Jiao; Xu Liu; Fang Liu; Shuyuan Yang; Biao Hou (CoRR, 2024)

LSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentation - Henghui Ding; Lingyi Hong; Chang Liu; Ning Xu; Linjie Yang; Yuchen Fan; Deshui Miao; Yameng Gu; Xin Li; Zhenyu He; Yaowei Wang; Ming-Hsuan Yang; et al. (CoRR, 2024)

SoccerNet 2024 Challenges Results - Anthony Cioppa; Silvio Giancola; Vladimir Somers; Victor Joos; Floriane Magera; Jan Held; Seyed Abolfazl Ghasemzadeh; Xin Zhou; Karolina Seweryn; Mateusz Kowalczyk; Zuzanna Mróz; Szymon Lukasik; et al. (CoRR, 2024)

A Novel Adaptive Fine-Tuning Algorithm for Multimodal Models: Self-Optimizing Classification and Selection of High-Quality Datasets in Remote Sensing - Yi Ren; Tianyi Zhang; Zhixiong Han; Weibin Li; Zhiyang Wang; Wenbo Ji; Chenhao Qin; Chenbin Liang; Licheng Jiao (CoRR, 2024)

AIM 2024 Sparse Neural Rendering Challenge: Methods and Results - Michal Nazarczuk; Sibi Catley-Chandar; Thomas Tanay; Richard Shaw; Eduardo Pérez-Pellitero; Radu Timofte; Xing Yan; Pan Wang; Yali Guo; Yongxin Wu; Youcheng Cai; Yanan Yang; et al. (CoRR, 2024)

Improving the Multi-label Atomic Activity Recognition by Robust Visual Feature and Advanced Attention @ ROAD++ Atomic Activity Recognition 2024 - Jiamin Cao; Lingqi Wang; Kexin Zhang; Yuting Yang; Licheng Jiao; Yuwei Guo (CoRR, 2024)

Masked Image Modeling Boosting Semi-Supervised Semantic Segmentation - Yangyang Li; Xuanting Hao; Ronghua Shang; Licheng Jiao (CoRR, 2024)

Knowledge-aware Evolutionary Graph Neural Architecture Search - Chao Wang; Jiaxuan Zhao; Lingling Li; Licheng Jiao; Fang Liu; Xu Liu; Shuyuan Yang (CoRR, 2024)

Learnable Evolutionary Multi-Objective Combinatorial Optimization via Sequence-to-Sequence Model - Jiaxiang Huang; Licheng Jiao (CoRR, 2024)

Quantifying Actionability: Evaluating Human-Recipient Models - Kelechi Nwaike; Licheng Jiao (IEEE Access, 2023)

Visual explanations with detailed spatial information for remote sensing image classification via channel saliency - Xianpeng Guo; Biao Hou; Chen Yang; Siteng Ma; Bo Ren; Shuang Wang; Licheng Jiao (Int. J. Appl. Earth Obs. Geoinformation, 2023)

CCNR: Cross-regional context and noise regularization for SAR image segmentation - Zitong Wu; Biao Hou; Xianpeng Guo; Bo Ren; Zhonghua Li; Shuang Wang; Licheng Jiao (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Attribute community detection based on latent representation learning and graph regularized non-negative matrix factorization - Ronghua Shang; Weitong Zhang; Zhiyuan Li; Chao Wang; Licheng Jiao (Appl. Soft Comput., 2023)

A Multi-Transformation Evolutionary Framework for Influence Maximization in Social Networks - Chao Wang; Jiaxuan Zhao; Lingling Li; Licheng Jiao; Jing Liu; Kai Wu (IEEE Comput. Intell. Mag., 2023)

Automated algorithm design using proximal policy optimisation with identified features - Wenjie Yi; Rong Qu; Licheng Jiao (Expert Syst. Appl., 2023)

Unsupervised feature selection via discrete spectral clustering and feature weights - Ronghua Shang; Jiarui Kong; Lujuan Wang; Weitong Zhang; Chao Wang; Yangyang Li; Licheng Jiao (Neurocomputing, 2023)

Semi-supervised feature learning for disjoint hyperspectral imagery classification - Xianghai Cao; Chenguang Li; Jie Feng; Licheng Jiao (Neurocomputing, 2023)

Adaptive graph regularization and self-expression for noise-aware feature selection - Ronghua Shang; Haijing Chi; Yangyang Li; Licheng Jiao (Neurocomputing, 2023)

RSBNet: One-shot neural architecture search for a backbone network in remote sensing image recognition - Cheng Peng; Yangyang Li; Ronghua Shang; Licheng Jiao (Neurocomputing, 2023)

Task context transformer and GCN for few-shot learning of cross-domain - Pengfang Li; Fang Liu; Licheng Jiao; Lingling Li; Puhua Chen; Shuo Li (Neurocomputing, 2023)

Precise crop classification of UAV hyperspectral imagery using kernel tensor slice sparse coding based classifier - Lixia Yang; Jinwei Chen; Rui Zhang; Shuyuan Yang; Xinyu Zhang; Licheng Jiao (Neurocomputing, 2023)

Multi-Angle Models and Lightweight Unbiased Decoding-Based Algorithm for Human Pose Estimation - Jianghai He; Weitong Zhang; Ronghua Shang; Jie Feng; Licheng Jiao (Int. J. Pattern Recognit. Artif. Intell., 2023)

A multimodal hyper-fusion transformer for remote sensing image classification - Mengru Ma; Wenping Ma; Licheng Jiao; Xu Liu; Lingling Li; Zhixi Feng; Fang Liu; Shuyuan Yang (Inf. Fusion, 2023)

Automatic Modulation Classification via Meta-Learning - Xiaoyang Hao; Zhixi Feng; Shuyuan Yang; Min Wang; Licheng Jiao (IEEE Internet Things J., 2023)

Contrastive Self-Supervised Clustering for Specific Emitter Identification - Xiaoyang Hao; Zhixi Feng; Ruoyu Liu; Shuyuan Yang; Licheng Jiao; Rong Luo (IEEE Internet Things J., 2023)

Large-scale community detection based on core node and layer-by-layer label propagation - Weitong Zhang; Ronghua Shang; Licheng Jiao (Inf. Sci., 2023)

Robust dual-graph discriminative NMF for data classification - Ge Lu; Chengcai Leng; Bing Li; Licheng Jiao; Anup Basu (Knowl. Based Syst., 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 (Knowl. Based Syst., 2023)

Hierarchical Feature Fusion and Selection for Hyperspectral Image Classification - Zhixi Feng; Xuehu Liu; Shuyuan Yang; Kai Zhang; Licheng Jiao (IEEE Geosci. Remote. Sens. Lett., 2023)

Unsupervised SAR Image Change Detection Based on Feature Fusion of Information Transfer - Jingjing Ma; Desheng Li; Xu Tang; Yuqun Yang; Xiangrong Zhang; Licheng Jiao (IEEE Geosci. Remote. Sens. Lett., 2023)

Discrepant Bi-Directional Interaction Fusion Network for Hyperspectral and LiDAR Data Classification - Liangliang Song; Zhixi Feng; Shuyuan Yang; Xinyu Zhang; Licheng Jiao (IEEE Geosci. Remote. Sens. Lett., 2023)

Kernel Tensor Sparse Coding Model for Precise Crop Classification of UAV Hyperspectral Image - Lixia Yang; Rui Zhang; Yajun Bao; Shuyuan Yang; Licheng Jiao (IEEE Geosci. Remote. Sens. Lett., 2023)

Multi-teacher knowledge distillation based on joint Guidance of Probe and Adaptive Corrector - Ronghua Shang; Wenzheng Li; Songling Zhu; Licheng Jiao; Yangyang Li (Neural Networks, 2023)

EQNAS: Evolutionary Quantum Neural Architecture Search for Image Classification - Yangyang Li; Ruijiao Liu; Xiaobin Hao; Ronghua Shang; Peixiang Zhao; Licheng Jiao (Neural Networks, 2023)

MinEnt: Minimum entropy for self-supervised representation learning - Shuo Li; Fang Liu; Zehua Hao; Licheng Jiao; Xu Liu; Yuwei Guo (Pattern Recognit., 2023)

Knowledge transduction for cross-domain few-shot learning - Pengfang Li; Fang Liu; Licheng Jiao; Shuo Li; Lingling Li; Xu Liu; Xinyan Huang (Pattern Recognit., 2023)

Knowledge transfer evolutionary search for lightweight neural architecture with dynamic inference - Xiaoxue Qian; Fang Liu; Licheng Jiao; Xiangrong Zhang; Xinyan Huang; Shuo Li; Puhua Chen; Xu Liu (Pattern Recognit., 2023)

CSANet: Cross-Scale Axial Attention Network for Road Segmentation - Xianghai Cao; Kai Zhang; Licheng Jiao (Remote. Sens., 2023)

Multi-Source Interactive Stair Attention for Remote Sensing Image Captioning - Xiangrong Zhang; Yunpeng Li; Xin Wang; Feixiang Liu; Zhaoji Wu; Xina Cheng; Licheng Jiao (Remote. Sens., 2023)

A Novel Deep Nearest Neighbor Neural Network for Few-Shot Remote Sensing Image Scene Classification - Yanqiao Chen; Yangyang Li; Heting Mao; Xinghua Chai; Licheng Jiao (Remote. Sens., 2023)

Remote Sensing Image Change Detection Based on Deep Multi-Scale Multi-Attention Siamese Transformer Network - Mengxuan Zhang; Zhao Liu; Jie Feng; Long Liu; Licheng Jiao (Remote. Sens., 2023)

Multi-Class Double-Transformation Network for SAR Image Registration - Xiaozheng Deng; Shasha Mao; Jinyuan Yang; Shiming Lu; Shuiping Gou; Youming Zhou; Licheng Jiao (Remote. Sens., 2023)

Deep Graph-Convolutional Generative Adversarial Network for Semi-Supervised Learning on Graphs - Nan Jia; Xiaolin Tian; Wenxing Gao; Licheng Jiao (Remote. Sens., 2023)

Dual-View Hyperspectral Anomaly Detection via Spatial Consistency and Spectral Unmixing - Jingyan Zhang; Xiangrong Zhang; Licheng Jiao (Remote. Sens., 2023)

Siamese Multi-Scale Adaptive Search Network for Remote Sensing Single-Object Tracking - Biao Hou; Yanyu Cui; Zhongle Ren; Zhihao Li; Shuang Wang; Licheng Jiao (Remote. Sens., 2023)

A Novel Discriminative Enhancement Method for Few-Shot Remote Sensing Image Scene Classification - Yanqiao Chen; Yangyang Li; Heting Mao; Guangyuan Liu; Xinghua Chai; Licheng Jiao (Remote. Sens., 2023)

Water Body Extraction of the Weihe River Basin Based on MF-SegFormer Applied to Landsat8 OLI Data - Tianyi Zhang; Chenhao Qin; Weibin Li; Xin Mao; Liyun Zhao; Biao Hou; Licheng Jiao (Remote. Sens., 2023)

Lightweight Super-Resolution with Self-Calibrated Convolution for Panoramic Videos - Fanjie Shang; Hongying Liu; Wanhao Ma; Yuanyuan Liu; Licheng Jiao; Fanhua Shang; Lijun Wang; Zhenyu Zhou (Sensors, 2023)

Semantic modeling of hyperspectral target detection with weak labels - Changzhe Jiao; Bo Yang; Lirong Liu; Chao Chen; Xiaoying Chen; Wensha Yang; Licheng Jiao (Signal Process., 2023)

Stable and compact face recognition via unlabeled data driven sparse representation-based classification - Xiaohui Yang; Zheng Wang; Huan Wu; Licheng Jiao; Yiming Xu; Haolin Chen (Signal Process. Image Commun., 2023)

Improved Bilinear Pooling With Pseudo Square-Rooted Matrix - Sixiang Xu; Damien Muselet; Alain Trémeau; Licheng Jiao (IEEE Signal Process. Lett., 2023)

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

Dual-Branch Spectral-Spatial Adversarial Representation Learning for Hyperspectral Image Classification With Few Labeled Samples - Caihao Sun; Xiaohua Zhang; Hongyun Meng; Xianghai Cao; Jinhua Zhang; Licheng Jiao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

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

SSCFNet: A Spatial-Spectral Cross Fusion Network for Remote Sensing Change Detection - Jiahao Wang; Fang Liu; Licheng Jiao; Hao Wang; Hua Yang; Xu Liu; Lingling Li; Puhua Chen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Reg-Superpixel Guided Convolutional Neural Network of PolSAR Image Classification Based on Feature Selection and Receptive Field Reconstruction - Ronghua Shang; Keyao Zhu; Jie Feng; Chao Wang; Licheng Jiao; Songhua Xu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Efficient and Robust: A Cross-Modal Registration Deep Wavelet Learning Method for Remote Sensing Images - Dou Quan; Huiyuan Wei; Shuang Wang; Yi Li; Jocelyn Chanussot; Yanhe Guo; Biao Hou; Licheng Jiao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

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

Evolutionary architecture search via adaptive parameter control and gene potential contribution - Ronghua Shang; Songling Zhu; Hangcheng Liu; Teng Ma; Weitong Zhang; Jie Feng; Licheng Jiao; Rustam Stolkin (Swarm Evol. Comput., 2023)

Graph Representation Learning Meets Computer Vision: A Survey - Licheng Jiao; Jie Chen; Fang Liu; Shuyuan Yang; Chao You; Xu Liu; Lingling Li; Biao Hou (IEEE Trans. Artif. Intell., 2023)

Multiscale Representation Learning for Image Classification: A Survey - Licheng Jiao; Jie Gao; Xu Liu; Fang Liu; Shuyuan Yang; Biao Hou (IEEE Trans. Artif. Intell., 2023)

Cosine Multilinear Principal Component Analysis for Recognition - Feng Han; Chengcai Leng; Bing Li; Anup Basu; Licheng Jiao (IEEE Trans. Big Data, 2023)

DFAT: Dynamic Feature-Adaptive Tracking - Wenhua Zhang; Licheng Jiao; Fang Liu; Shuyuan Yang; Jia Liu (IEEE Trans. Circuits Syst. Video Technol., 2023)

Weakly-Supervised Semantic Feature Refinement Network for MMW Concealed Object Detection - Shuiping Gou; Xinlin Wang; Shasha Mao; Licheng Jiao; Zhen Liu; Yinghai Zhao (IEEE Trans. Circuits Syst. Video Technol., 2023)

Dual Wavelet Attention Networks for Image Classification - Yuting Yang; Licheng Jiao; Xu Liu; Fang Liu; Shuyuan Yang; Lingling Li; Puhua Chen; Xiufang Li; Zhongjian Huang (IEEE Trans. Circuits Syst. Video Technol., 2023)

8321 Sparsity-Regularized Attention Multiple-Instance Network for Hyperspectral Target Detection - Changzhe Jiao; Chao Chen; Shuiping Gou; Xiuxiu Wang; Bo Yang; Xiaoying Chen; Licheng Jiao (IEEE Trans. Cybern., 2023)

Local Community Detection Algorithm Based on Alternating Strategy of Strong Fusion and Weak Fusion - Ronghua Shang; Weitong Zhang; Jingwen Zhang; Licheng Jiao; Yangyang Li; Rustam Stolkin (IEEE Trans. Cybern., 2023)

Learning Salient Feature for Salient Object Detection Without Labels - Shuo Li; Fang Liu; Licheng Jiao; Xu Liu; Puhua Chen (IEEE Trans. Cybern., 2023)

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

A Collaborative Learning Tracking Network for Remote Sensing Videos - Xiaotong Li; Licheng Jiao; Hao Zhu; Fang Liu; Shuyuan Yang; Xiangrong Zhang; Shuang Wang; Rong Qu (IEEE Trans. Cybern., 2023)

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

Fast and Effective: A Novel Sequential Single-Path Search for Mixed-Precision-Quantized Networks - Qigong Sun; Xiufang Li; Licheng Jiao; Yan Ren; Fanhua Shang; Fang Liu (IEEE Trans. Cybern., 2023)

Automated Design of Metaheuristics Using Reinforcement Learning Within a Novel General Search Framework - Wenjie Yi; Rong Qu; Licheng Jiao; Ben Niu (IEEE Trans. Evol. Comput., 2023)

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

Transformer-Based Masked Autoencoder With Contrastive Loss for Hyperspectral Image Classification - Xianghai Cao; Haifeng Lin; Shuaixu Guo; Tao Xiong; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

An Improved Neural Network Classification Algorithm by Expanding Training Samples for Polarimetric SAR Application - Jing Chen; Biao Hou; Bo Ren; Qian Wu; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

MR-Selection: A Meta-Reinforcement Learning Approach for Zero-Shot Hyperspectral Band Selection - Jie Feng; Gaiqin Bai; Di Li; Xiangrong Zhang; Ronghua Shang; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

Multi-Complementary Generative Adversarial Networks With Contrastive Learning for Hyperspectral Image Classification - Jie Feng; Zizhuo Gao; Ronghua Shang; Xiangrong Zhang; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

Cross-Modal Contrastive Learning for Remote Sensing Image Classification - Zhixi Feng; Liangliang Song; Shuyuan Yang; Xinyu Zhang; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

Multisource Joint Representation Learning Fusion Classification for Remote Sensing Images - Xueli Geng; Licheng Jiao; Lingling Li; Fang Liu; Xu Liu; Shuyuan Yang; Xiangrong Zhang (IEEE Trans. Geosci. Remote. Sens., 2023)

SSMU-Net: A Style Separation and Mode Unification Network for Multimodal Remote Sensing Image Classification - Yi Han; Hao Zhu; Licheng Jiao; Xiaoyu Yi; Xiaotong Li; Biao Hou; Wenping Ma; Shuang Wang (IEEE Trans. Geosci. Remote. Sens., 2023)

Contrastive Learning Based on Multiscale Hard Features for Remote-Sensing Image Scene Classification - Zhihao Li; Biao Hou; Xianpeng Guo; Siteng Ma; Yanyu Cui; Shuang Wang; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

Complete Rotated Localization Loss Based on Super-Gaussian Distribution for Remote Sensing Images - Zhonghua Li; Biao Hou; Zitong Wu; Zhengxi Guo; Bo Ren; Xianpeng Guo; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

Gaussian Synthesis for High-Precision Location in Oriented Object Detection - Zhonghua Li; Biao Hou; Zitong Wu; Bo Ren; Zhongle Ren; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

Self-Supervised Learning With Learnable Sparse Contrastive Sampling for Hyperspectral Image Classification - Miaomiao Liang; Jian Dong; Lingjuan Yu; Xiangchun Yu; Zhe Meng; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

MidNet: An Anchor-and-Angle-Free Detector for Oriented Ship Detection in Aerial Images - Yuping Liang; Jie Feng; Xiangrong Zhang; Junpeng Zhang; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

Weak-to-Strong Consistency Learning for Semisupervised Image Segmentation - Xiaoqiang Lu; Licheng Jiao; Lingling Li; Fang Liu; Xu Liu; Shuyuan Yang; Zhixi Feng; Puhua Chen (IEEE Trans. Geosci. Remote. Sens., 2023)

Unsupervised Prototype-Wise Contrastive Learning for Domain Adaptive Semantic Segmentation in Remote Sensing Image - Siteng Ma; Biao Hou; Xianpeng Guo; Zitong Wu; Zhihao Li; Hang Wu; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

Automatic Aug-Aware Contrastive Proposal Encoding for Few-Shot Object Detection of Remote Sensing Images - Siteng Ma; Biao Hou; Zitong Wu; Zhihao Li; Xianpeng Guo; Bo Ren; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

Multipretext-Task Prototypes Guided Dynamic Contrastive Learning Network for Few-Shot Remote Sensing Scene Classification - Jingjing Ma; Weiquan Lin; Xu Tang; Xiangrong Zhang; Fang Liu; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

Adaptive Self-Supervised SAR Image Registration With Modifications of Alignment Transformation - Shasha Mao; Jinyuan Yang; Shuiping Gou; Kai Lu; Licheng Jiao; Tao Xiong; Lin Xiong (IEEE Trans. Geosci. Remote. Sens., 2023)

A Novel Coarse-to-Fine Deep Learning Registration Framework for Multimodal Remote Sensing Images - Dou Quan; Huiyuan Wei; Shuang Wang; Yu Gu; Biao Hou; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

Incremental Land Cover Classification via Label Strategy and Adaptive Weights - Bo Ren; Zhao Wang; Biao Hou; Bo Liu; Zitong Wu; Jocelyn Chanussot; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

A Spatial-Spectral Bilinear Representation Fusion Network for Multimodal Classification - Xue Song; Lingling Li; Licheng Jiao; Fang Liu; Xu Liu; Shuyuan Yang (IEEE Trans. Geosci. Remote. Sens., 2023)

Which Target to Focus on: Class-Perception for Semantic Segmentation of Remote Sensing - Long Sun; Lingling Li; Yilin Shao; Licheng Jiao; Xu Liu; Puhua Chen; Fang Liu; Shuyuan Yang; Biao Hou (IEEE Trans. Geosci. Remote. Sens., 2023)

Interacting-Enhancing Feature Transformer for Cross-Modal Remote-Sensing Image and Text Retrieval - Xu Tang; Yijing Wang; Jingjing Ma; Xiangrong Zhang; Fang Liu; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

WNet: W-Shaped Hierarchical Network for Remote-Sensing Image Change Detection - Xu Tang; Tianxiang Zhang; Jingjing Ma; Xiangrong Zhang; Fang Liu; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

SDCDNet: A Semi-Dual Change Detection Network Framework With Super-Weak Label for Remote Sensing Image - Jiahao Wang; Fang Liu; Hao Wang; Xu Liu; Licheng Jiao; Hua Yang; Lingling Li; Puhua Chen (IEEE Trans. Geosci. Remote. Sens., 2023)

High-Quality Angle Prediction for Oriented Object Detection in Remote Sensing Images - Guanchun Wang; Xiangrong Zhang; Peng Zhu; Xu Tang; Puhua Chen; Licheng Jiao; Huiyu Zhou (IEEE Trans. Geosci. Remote. Sens., 2023)

CSLT: Contourlet-Based Siamese Learning Tracker for Dim and Small Targets in Satellite Videos - Yinan Wu; Licheng Jiao; Fang Liu; Zhaoliang Pi; Xu Liu; Lingling Li; Shuyuan Yang (IEEE Trans. Geosci. Remote. Sens., 2023)

A Dual-Stream Transformer With Diff-Attention for Multispectral and Panchromatic Classification - Lin Xu; Hao Zhu; Licheng Jiao; Wenhao Zhao; Xiaotong Li; Biao Hou; Zhongle Ren; Wenping Ma (IEEE Trans. Geosci. Remote. Sens., 2023)

Multicue Contrastive Self-Supervised Learning for Change Detection in Remote Sensing - Meijuan Yang; Licheng Jiao; Fang Liu; Biao Hou; Shuyuan Yang; Yake Zhang; Jianlong Wang (IEEE Trans. Geosci. Remote. Sens., 2023)

An Explainable Spatial-Frequency Multiscale Transformer for Remote Sensing Scene Classification - Yuting Yang; Licheng Jiao; Fang Liu; Xu Liu; Lingling Li; Puhua Chen; Shuyuan Yang (IEEE Trans. Geosci. Remote. Sens., 2023)

Boundary-Aware Multiscale Learning Perception for Remote Sensing Image Segmentation - Chao You; Licheng Jiao; Xu Liu; Lingling Li; Fang Liu; Wenping Ma; Shuyuan Yang (IEEE Trans. Geosci. Remote. Sens., 2023)

MFGNet: Multibranch Feature Generation Networks for Few-Shot Remote Sensing Scene Classification - Xiangrong Zhang; Xiyu Fan; Guanchun Wang; Puhua Chen; Xu Tang; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

A Spatial Hierarchical Reasoning Network for Remote Sensing Visual Question Answering - Zixiao Zhang; Licheng Jiao; Lingling Li; Xu Liu; Puhua Chen; Fang Liu; Yuxuan Li; Zhicheng Guo (IEEE Trans. Geosci. Remote. Sens., 2023)

Curvelet Adversarial Augmented Neural Network for SAR Image Classification - Yake Zhang; Fang Liu; Licheng Jiao; Shuyuan Yang; Lingling Li; Meijuan Yang; Jianlong Wang; Xu Liu (IEEE Trans. Geosci. Remote. Sens., 2023)

CAST: A Cascade Spectral-Aware Transformer for Hyperspectral Image Change Detection - Xiangrong Zhang; Shunli Tian; Guanchun Wang; Xu Tang; Jie Feng; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

Triple Contrastive Representation Learning for Hyperspectral Image Classification With Noisy Labels - Xinyu Zhang; Shuyuan Yang; Zhixi Feng; Liangliang Song; Yantao Wei; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

Bidirectional Multiple Object Tracking Based on Trajectory Criteria in Satellite Videos - Jinyue Zhang; Xiangrong Zhang; Zhongjian Huang; Xina Cheng; Jie Feng; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

Spectral-Spatial Distribution Consistent Network Based on Meta-Learning for Cross-Domain Hyperspectral Image Classification - Xiangrong Zhang; Qi Zhen; Zhenyu Li; Xiao Han; Puhua Chen; Xu Tang; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

GeoFormer: A Geometric Representation Transformer for Change Detection - Jiaxuan Zhao; Licheng Jiao; Chao Wang; Xu Liu; Fang Liu; Lingling Li; Shuyuan Yang (IEEE Trans. Geosci. Remote. Sens., 2023)

Semantics and Contour Based Interactive Learning Network for Building Footprint Extraction - Xiaoqian Zhu; Xiangrong Zhang; Tianyang Zhang; Xu Tang; Puhua Chen; Huiyu Zhou; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

Semantic Correntropy Representation for Hyperspectral Image Classification - Xinyu Zhang; Zhixi Feng; Shuyuan Yang; Yantao Wei; Liangliang Song; Lixia Yang; Licheng Jiao (IEEE Trans. Instrum. Meas., 2023)

SAGN: Semantic-Aware Graph Network for Remote Sensing Scene Classification - Yuqun Yang; Xu Tang; Yiu-Ming Cheung; Xiangrong Zhang; Licheng Jiao (IEEE Trans. Image Process., 2023)

SDANet: Semantic-Embedded Density Adaptive Network for Moving Vehicle Detection in Satellite Videos - Jie Feng; Yuping Liang; Xiangrong Zhang; Junpeng Zhang; Licheng Jiao (IEEE Trans. Image Process., 2023)

EPT-Net: Edge Perception Transformer for 3D Medical Image Segmentation - Jingyi Yang; Licheng Jiao; Ronghua Shang; Xu Liu; Ruiyang Li; Longchang Xu (IEEE Trans. Medical Imaging, 2023)

A Universal Quaternion Hypergraph Network for Multimodal Video Question Answering - Zhicheng Guo; Jiaxuan Zhao; Licheng Jiao; Xu Liu; Fang Liu (IEEE Trans. Multim., 2023)

D^{3}K: Dynastic Data-Free Knowledge Distillation - Xiufang Li; Qigong Sun; Licheng Jiao; Fang Liu; Xu Liu; Lingling Li; Puhua Chen; Yi Zuo (IEEE Trans. Multim., 2023)

Transformer Based Conditional GAN for Multimodal Image Fusion - Jun Zhang; Licheng Jiao; Wenping Ma; Fang Liu; Xu Liu; Lingling Li; Puhua Chen; Shuyuan Yang (IEEE Trans. Multim., 2023)

Learning Social Spatio-Temporal Relation Graph in the Wild and a Video Benchmark - Haoran Wang; Licheng Jiao; Fang Liu; Lingling Li; Xu Liu; Deyi Ji; Weihao Gan (IEEE Trans. Neural Networks Learn. Syst., 2023)

Multiscale Curvelet Scattering Network - Jie Gao; Licheng Jiao; Fang Liu; Shuyuan Yang; Biao Hou; Xu Liu (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Multi-Scale Progressive Collaborative Attention Network for Remote Sensing Fusion Classification - Wenping Ma; Yating Li; Hao Zhu; Haoxiang Ma; Licheng Jiao; Jianchao Shen; Biao Hou (IEEE Trans. Neural Networks Learn. Syst., 2023)

Deep Learning in Visual Tracking: A Review - Licheng Jiao; Dan Wang; Yidong Bai; Puhua Chen; Fang Liu (IEEE Trans. Neural Networks Learn. Syst., 2023)

RDLNet: A Regularized Descriptor Learning Network - Jun Zhang; Licheng Jiao; Wenping Ma; Fang Liu; Xu Liu; Lingling Li; Hao Zhu (IEEE Trans. Neural Networks Learn. Syst., 2023)

Adversarial Multiview Clustering Networks With Adaptive Fusion - Qianqian Wang; Zhiqiang Tao; Wei Xia; Quanxue Gao; Xiaochun Cao; Licheng Jiao (IEEE Trans. Neural Networks Learn. Syst., 2023)

NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results - Longguang Wang; Yulan Guo; Yingqian Wang; Juncheng Li; Shuhang Gu; Radu Timofte; Ming Cheng; Haoyu Ma; Qiufang Ma; Xiaopeng Sun; Shijie Zhao; Xuhan Sheng; et al. (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023 - Workshops, Vancouver, BC, Canada, June 17-24, 2023, 2023)

Towards Better Stability and Adaptability: Improve Online Self-Training for Model Adaptation in Semantic Segmentation - Dong Zhao; Shuang Wang; Qi Zang; Dou Quan; Xiutiao Ye; Licheng Jiao (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification - Yanbiao Ma; Licheng Jiao; Fang Liu; Shuyuan Yang; Xu Liu; Lingling Li (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

An Intelligent Application of Real Time Speed Estimation: An Enhanced Detection and Tracking Approach Towards Vehicle Speed Estimation - Ala Alsanabani; Ahed Abugabah; Licheng Jiao (Proceedings of the 7th International Conference on Computing and Data Analysis, ICCDA 2023, Guiyang, China, September 15-17, 2023, 2023)

Learning Pseudo-Relations for Cross-domain Semantic Segmentation - Dong Zhao; Shuang Wang; Qi Zang; Dou Quan; Xiutiao Ye; Rui Yang; Licheng Jiao (IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023, 2023)

The Robust Semantic Segmentation UNCV2023 Challenge Results - Xuanlong Yu; Yi Zuo; Zitao Wang; Xiaowen Zhang; Jiaxuan Zhao; Yuting Yang; Licheng Jiao; Rui Peng; Xinyi Wang; Junpei Zhang; Kexin Zhang; Fang Liu; et al. (IEEE/CVF International Conference on Computer Vision, ICCV 2023 - Workshops, Paris, France, October 2-6, 2023, 2023)

A CAM-Enhancing Generative Person Re-ID Method Based Global and Local Features - Angze Li; Shasha Mao; Lin Xiong; Mengnan Qi; Shuiping Gou; Licheng Jiao (IEEE International Conference on Image Processing, ICIP 2023, Kuala Lumpur, Malaysia, October 8-11, 2023, 2023)

Delving into Semantic Scale Imbalance - Yanbiao Ma; Licheng Jiao; Fang Liu; Yuxin Li; Shuyuan Yang; Xu Liu (The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, 2023)

Smart Application for Real Time Detection: An Improved Lightweight Detector for Real-Time Vehicle Detection - Ala Alsanabani; Ahed Abugabah; Licheng Jiao (Fourteenth International Conference on Ubiquitous and Future Networks, ICUFN 2023, Paris, France, July 4-7, 2023, 2023)

A Strong Vision Transformer Adapter with Adaptive Thresholding for fine-Grained Building Classification - Xiaoqiang Lu; Licheng Jiao; Qiong Liu; Lingling Li; Fang Liu; Xu Liu; Yuting Yang (IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023, Pasadena, CA, USA, July 16-21, 2023, 2023)

Trident Cooperation Network for Building Extraction and Height Estimation - Xiaoqiang Lu; Licheng Jiao; Qiong Liu; Lingling Li; Fang Liu; Xu Liu; Yuting Yang (IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023, Pasadena, CA, USA, July 16-21, 2023, 2023)

Deep Continuous Matching Network for more Robust Multi-Modal Remote Sensing Image Patch Matching - Rufan Zhou; Dou Quan; Chonghua Lv; Yanhe Guo; Shuang Wang; Yu Gu; Licheng Jiao (IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023, Pasadena, CA, USA, July 16-21, 2023, 2023)

Relational Image Patch Matching for Remote Sensing - Xianwei Cao; Dou Quan; Chonghua Lv; Yanhe Guo; Shuang Wang; Biao Hou; Licheng Jiao (IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023, Pasadena, CA, USA, July 16-21, 2023, 2023)

Domain Distribution Alignment for Boosting Multi-Modal Remote Sensing Image Matching - Zhe Wang; Dou Quan; Chonghua Lv; Yanhe Guo; Shuang Wang; Yu Gu; Licheng Jiao (IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023, Pasadena, CA, USA, July 16-21, 2023, 2023)

Dense Cross-Scale Transformer with Channel Learning for Remote Sensing Scene Classification - Dan Zhang; Yuting Yang; Xu Liu; Wenping Ma; Licheng Jiao (IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023, Pasadena, CA, USA, July 16-21, 2023, 2023)

3D-Mglnet: Moving Vehicle Detection in Satellite Videos with 3D Motion-Guided Lightweight Network - Xiaoyu Zhu; Jie Li; Jie Feng; Quanpeng Jiang; Xiangrong Zhang; Licheng Jiao (IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023, Pasadena, CA, USA, July 16-21, 2023, 2023)

Swin Resnetswin Transformers for Change Detection in Remote Sensing Images - Xu Liu; Yu Liu; Licheng Jiao; Lingling Li; Fang Liu; Dan Zhang (IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023, Pasadena, CA, USA, July 16-21, 2023, 2023)

Domain Adversarial Debiased Self-Training for Hyperspectral Image Classification - Tianshu Zhang; Jie Feng; Ziyu Zhou; Xiangrong Zhang; Licheng Jiao (IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023, Pasadena, CA, USA, July 16-21, 2023, 2023)

Orthogonal Uncertainty Representation of Data Manifold for Robust Long-Tailed Learning - Yanbiao Ma; Licheng Jiao; Fang Liu; Shuyuan Yang; Xu Liu; Lingling Li (Proceedings of the 31st ACM International Conference on Multimedia, MM 2023, Ottawa, ON, Canada, 29 October 2023- 3 November 2023, 2023)

Knowledge Decomposition and Replay: A Novel Cross-modal Image-Text Retrieval Continual Learning Method - Rui Yang; Shuang Wang; Huan Zhang; Siyuan Xu; Yanhe Guo; Xiutiao Ye; Biao Hou; Licheng Jiao (Proceedings of the 31st ACM International Conference on Multimedia, MM 2023, Ottawa, ON, Canada, 29 October 2023- 3 November 2023, 2023)

RGMIL: Guide Your Multiple-Instance Learning Model with Regressor - Zhaolong Du; Shasha Mao; Yimeng Zhang; Shuiping Gou; Licheng Jiao; Lin Xiong (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search - Chao Wang; Licheng Jiao; Jiaxuan Zhao; Lingling Li; Xu Liu; Fang Liu; Shuyuan Yang (CoRR, 2023)

SoftMatch Distance: A Novel Distance for Weakly-Supervised Trend Change Detection in Bi-Temporal Images - Yuqun Yang; Xu Tang; Xiangrong Zhang; Jingjing Ma; Licheng Jiao (CoRR, 2023)

Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification - Yanbiao Ma; Licheng Jiao; Fang Liu; Shuyuan Yang; Xu Liu; Lingling Li (CoRR, 2023)

An EMO Joint Pruning with Multiple Sub-networks: Fast and Effect - Ronghua Shang; Songling Zhu; Licheng Jiao; Songhua Xu (CoRR, 2023)

DynamicKD: An Effective Knowledge Distillation via Dynamic Entropy Correction-Based Distillation for Gap Optimizing - Songling Zhu; Ronghua Shang; Bo Yuan; Weitong Zhang; Yangyang Li; Licheng Jiao (CoRR, 2023)

DiffUCD: Unsupervised Hyperspectral Image Change Detection with Semantic Correlation Diffusion Model - Xiangrong Zhang; Shunli Tian; Guanchun Wang; Huiyu Zhou; Licheng Jiao (CoRR, 2023)

Multi-model fusion for Aerial Vision and Dialog Navigation based on human attention aids - Xinyi Wang; Xuan Cui; Danxu Li; Fang Liu; Licheng Jiao (CoRR, 2023)

Remote Sensing Object Detection Meets Deep Learning: A Meta-review of Challenges and Advances - Xiangrong Zhang; Tianyang Zhang; Guanchun Wang; Peng Zhu; Xu Tang; Xiuping Jia; Licheng Jiao (CoRR, 2023)

Changes-Aware Transformer: Learning Generalized Changes Representation - Dan Wang; Licheng Jiao; Jie Chen; Shuyuan Yang; Fang Liu (CoRR, 2023)

The Robust Semantic Segmentation UNCV2023 Challenge Results - Xuanlong Yu; Yi Zuo; Zitao Wang; Xiaowen Zhang; Jiaxuan Zhao; Yuting Yang; Licheng Jiao; Rui Peng; Xinyi Wang; Junpei Zhang; Kexin Zhang; Fang Liu; et al. (CoRR, 2023)

Orthogonal Uncertainty Representation of Data Manifold for Robust Long-Tailed Learning - Yanbiao Ma; Licheng Jiao; Fang Liu; Shuyuan Yang; Xu Liu; Lingling Li (CoRR, 2023)

Data-Centric Long-Tailed Image Recognition - Yanbiao Ma; Licheng Jiao; Fang Liu; Shuyuan Yang; Xu Liu; Puhua Chen (CoRR, 2023)

Semantic Connectivity-Driven Pseudo-labeling for Cross-domain Segmentation - Dong Zhao; Ruizhi Yang; Shuang Wang; Qi Zang; Yang Hu; Licheng Jiao; Nicu Sebe; Zhun Zhong (CoRR, 2023)

Transferring Modality-Aware Pedestrian Attentive Learning for Visible-Infrared Person Re-identification - Yuwei Guo; Wenhao Zhang; Licheng Jiao; Shuang Wang; Shuo Wang; Fang Liu (CoRR, 2023)

A Lightweight Top-Down Multi-Person Pose Estimation Method Based on Symmetric Transformation and Global Matching - Yangyang Li; Danqing Yang; Yanqiao Chen; Cheng Peng; Zhenxiang Sun; Licheng Jiao (IEEE Access, 2022)

Occluded Person Re-Identification Method Based on Multiscale Features and Human Feature Reconstruction - Yangyang Li; Zichen Yang; Yanqiao Chen; Danqing Yang; Ruijiao Liu; Licheng Jiao (IEEE Access, 2022)

A dual-stream high resolution network: Deep fusion of GF-2 and GF-3 data for land cover classification - Bo Ren; Shibin Ma; Biao Hou; Danfeng Hong; Jocelyn Chanussot; Jianlong Wang; Licheng Jiao (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Spatial feature-based convolutional neural network for PolSAR image classification - Ronghua Shang; Jiaming Wang; Licheng Jiao; Xiaohui Yang; Yangyang Li (Appl. Soft Comput., 2022)

Evolutionary multiobjective overlapping community detection based on similarity matrix and node correction - Ronghua Shang; Kejia Zhao; Weitong Zhang; Jie Feng; Yangyang Li; Licheng Jiao (Appl. Soft Comput., 2022)

Broad fuzzy cognitive map systems for time series classification - Kai Wu; Kaixin Yuan; Yingzhi Teng; Jing Liu; Licheng Jiao (Appl. Soft Comput., 2022)