SENSC algorithm for object and scene categorization. - Baodi Liu; Yu-Jin Zhang (Multimedia on Mobile Devices / Multimedia Content Access: Algorithms and Systems, 2011)

Robust Moving Cast Shadows Detection and Removal with Reliability Checking of the Color Property. - Xue Li 005; Yu-Jin Zhang; Bao-Di Liu (ICIG, 2011)

Discriminant sparse coding for image classification. - Bao-Di Liu; Yu-Xiong Wang; Yu-Jin Zhang; Yin Zheng (ICASSP, 2012)

Action recognition in still images using a combination of human pose and context information. - Yin Zheng; Yu-Jin Zhang; Xue Li 005; Bao-Di Liu (ICIP, 2012)

Robust Nonnegative Matrix Factorization via L1 Norm Regularization - Bin Shen 002; Luo Si; Rongrong Ji; Bao-Di Liu (CoRR, 2012)

Self-Explanatory Convex Sparse Representation for Image Classification. - Bao-Di Liu; Yu-Xiong Wang; Bin Shen 002; Yu-Jin Zhang; Yanjiang Wang 001; Weifeng Liu 001 (SMC, 2013)

Learning dictionary on manifolds for image classification. - Bao-Di Liu; Yu-Xiong Wang; Yu-Jin Zhang; Bin Shen 002 (Pattern Recognit., 2013)

Self-explanatory Sparse Representation for Image Classification. - Bao-Di Liu; Yu-Xiong Wang; Bin Shen 002; Yu-Jin Zhang; Martial Hebert (ECCV (2), 2014)

Blockwise coordinate descent schemes for sparse representation. - Bao-Di Liu; Yu-Xiong Wang; Bin Shen 002; Yu-Jin Zhang; Yanjiang Wang 001 (ICASSP, 2014)

Image tag completion by low-rank factorization with dual reconstruction structure preserved. - Xue Li 005; Yu-Jin Zhang; Bin Shen 002; Bao-Di Liu (ICIP, 2014)

TISVM: Large margin classifier for misaligned image classification. - Bin Shen 002; Bao-Di Liu; Jan P. Allebach (ICIP, 2014)

Robust nonnegative matrix factorization via L1 norm regularization by multiplicative updating rules. - Bin Shen 002; Bao-Di Liu; Qifan Wang 001; Rongrong Ji (ICIP, 2014)

Class specific subspace learning for collaborative representation. - Bao-Di Liu; Bin Shen 002; Yu-Xiong Wang; Weifeng Liu 001; Yanjiang Wang 001 (SMC, 2014)

Class specific dictionary learning for face recognition. - Bao-Di Liu; Bin Shen 002; Yu-Xiong Wang (SPAC, 2014)

SP-SVM: Large Margin Classifier for Data on Multiple Manifolds. - Bin Shen 002; Bao-Di Liu; Qifan Wang 001; Yi Fang 008; Jan P. Allebach (AAAI, 2015)

A Locality Preserving Approach for Kernel PCA. - Yin Zheng; Bin Shen 002; Xiaofeng Yang; Wanli Ma; Bao-Di Liu; Yu-Jin Zhang (ICIG (1), 2015)

Locality sensitive dictionary learning for image classification. - Bao-Di Liu; Bin Shen 002; Xue Li 005 (ICIP, 2015)

Class specific discriminant dictionary learning with kernels for face recognition. - Bao-Di Liu; Yuting Wang; Liangke Gui; Yu-Xiong Wang; Bin Shen 002; Xue Li 005; Yan-Jiang Wang 001 (IMAWM, 2016)

Saliency-context two-stream convnets for action recognition. - Quan-Qi Chen; Feng Liu; Xue Li 005; Bao-Di Liu; Yu-Jin Zhang (ICIP, 2016)

Class specific dictionary learning based kernel collaborative representation for fine-grained image classification. - Xiaojie Feng; Yanjiang Wang 001; Bao-Di Liu; Weifeng Liu 001 (SMC, 2016)

Low-rank image tag completion with dual reconstruction structure preserved. - Xue Li 005; Yu-Jin Zhang; Bin Shen 002; Bao-Di Liu (Neurocomputing, 2016)

Face recognition using class specific dictionary learning for sparse representation and collaborative representation. - Bao-Di Liu; Bin Shen 002; Liangke Gui; Yu-Xiong Wang; Xue Li 005; Fei Yan; Yanjiang Wang 001 (Neurocomputing, 2016)

Blockwise coordinate descent schemes for efficient and effective dictionary learning. - Bao-Di Liu; Yu-Xiong Wang; Bin Shen 002; Xue Li 005; Yu-Jin Zhang; Yanjiang Wang 001 (Neurocomputing, 2016)

Elastic net regularized dictionary learning for image classification. - Bin Shen 002; Bao-Di Liu; Qifan Wang 001 (Multim. Tools Appl., 2016)

A Locality Sensitive Low-Rank Model for Image Tag Completion. - Xue Li 005; Bin Shen 002; Bao-Di Liu; Yu-Jin Zhang (IEEE Trans. Multim., 2016)

Probabilistic Collaborative Representation with Kernels for Visual Classification. - Jie Meng; Yanjiang Wang 001; Bao-Di Liu (ICIMCS, 2017)

Elastic Net Regularized Dictionary Learning for Face Recognition. - Li Wang 040; Yanjiang Wang 001; Bao-Di Liu (ICIMCS, 2017)

Class specific centralized dictionary learning for face recognition. - Bao-Di Liu; Liangke Gui; Yuting Wang; Yu-Xiong Wang; Bin Shen 002; Xue Li 005; Yanjiang Wang 001 (Multim. Tools Appl., 2017)

Learn a Hybrid Collaborative Representation for Fine-Grained Image Classification. - Wen-Yang Xie; Bao-Di Liu; Xue Li 005; Yan-Jiang Wang 001 (IMAWM, 2018)

Recognition of Working Condition in Sucker-Rod Pumping Wells Based on Multi-View Kernel Learning and Hessian-Regularized Logistic Regression. - Bin Zhou; Yanjiang Wang 001; Weifeng Liu 001; Bao-Di Liu (ICSPCC, 2018)

Laplace Graph Embedding Class Specific Dictionary Learning for Face Recognition. - Li Wang 040; Yanjiang Wang 001; Bao-Di Liu (J. Electr. Comput. Eng., 2018)

Biological modeling of human visual system for object recognition using GLoP filters and sparse coding on multi-manifolds. - Limiao Deng; Yanjiang Wang 001; Bao-Di Liu; Weifeng Liu 001; Yujuan Qi (Mach. Vis. Appl., 2018)

Hybrid Collaborative Representation for Remote-Sensing Image Scene Classification. - Bao-Di Liu; Wen-Yang Xie; Jie Meng; Ye Li; Yanjiang Wang 001 (Remote. Sens., 2018)

Ranking-Preserving Low-Rank Factorization for Image Annotation With Missing Labels. - Xue Li 005; Bin Shen 002; Bao-Di Liu; Yu-Jin Zhang (IEEE Trans. Multim., 2018)

Laplacian Eigenmaps Regularized Feature Mapping for Image Annotation. - Qianqian Shao; Bao-Di Liu (SMC, 2019)

Sparse Representation and Collaborative Representation? Both Help Image Classification. - Wen-Yang Xie; Bao-Di Liu; Shuai Shao 006; Ye Li; Yanjiang Wang 001 (IEEE Access, 2019)

Label Embedded Dictionary Learning for Image Classification. - Shuai Shao 006; Yanjiang Wang 001; Bao-Di Liu; Weifeng Liu 001 (CoRR, 2019)

Class Specific or Shared? A Hybrid Dictionary Learning Network for Image Classification. - Shuai Shao 006; Yanjiang Wang 001; Bao-Di Liu; Rui Xu 012; Ye Li (CoRR, 2019)

Weighted Spatial Pyramid Matching Collaborative Representation for Remote-Sensing-Image Scene Classification. - Bao-Di Liu; Jie Meng; Wen-Yang Xie; Shuai Shao 006; Ye Li; Yanjiang Wang 001 (Remote. Sens., 2019)

Local structure alignment guided domain adaptation with few source samples. - Yuying Cai; Jinfeng Li; Bao-Di Liu; Weifeng Liu 001; Kai Zhang 029; Changsheng Xu (MMAsia, 2020)

Inpainting Electrical Logging Images Based on Deep CNN with Attention Mechanisms. - Chunyu Du; Qiang Xing; Jinyan Zhang; Jun Wang 085; Bao-Di Liu; Yanjiang Wang 001 (SSCI, 2020)

Action Detection Based on 3D Convolution Neural Network with Channel Attention Mechanism. - Yan Gao; Huilai Liang; Bao-Di Liu; Yanjiang Wang 001 (SSCI, 2020)

Class-Specific Sparse Principal Component Analysis for Visual Classification. - Fei Pan; Zai-Xu Zhang; Bao-Di Liu; Ji-Jun Xie (IEEE Access, 2020)

Understanding the Relationship Between Human Brain Structure and Function by Predicting the Structural Connectivity From Functional Connectivity. - Yanjiang Wang 001; Xue Chen; Bao-Di Liu; Weifeng Liu 001; Richard Martin Shiffrin (IEEE Access, 2020)

Probabilistic Memory Model for Visual Images Categorization. - Linxia Xiao; Yanjiang Wang 001; Baodi Liu; Weifeng Liu 001 (Comput. Informatics, 2020)

SAHDL: Sparse Attention Hypergraph Regularized Dictionary Learning. - Shuai Shao 006; Rui Xu 012; Yanjiang Wang 001; Weifeng Liu 001; Bao-Di Liu (CoRR, 2020)

DLDL: Dynamic Label Dictionary Learning via Hypergraph Regularization. - Shuai Shao 006; Mengke Wang; Rui Xu 012; Yanjiang Wang 001; Bao-Di Liu (CoRR, 2020)

Label embedded dictionary learning for image classification. - Shuai Shao 006; Rui Xu 012; Weifeng Liu 001; Bao-Di Liu; Yanjiang Wang 001 (Neurocomputing, 2020)

Class specific or shared? A cascaded dictionary learning framework for image classification. - Yanjiang Wang 001; Shuai Shao 006; Rui Xu 012; Weifeng Liu 001; Bao-Di Liu (Signal Process., 2020)

Interference Distillation for Underwater Fish Recognition. - Jian Pang; Weifeng Liu 001; Baodi Liu; Dapeng Tao; Kai Zhang 029; Xiaoping Lu (ACPR (1), 2021)

Edge Loss for Remote Sensing Image Super-Resolution. - Jiaoyue Li; Weifeng Liu 001; Kai Zhang 029; Baodi Liu (CECNet, 2021)

Leveraging GANs via Non-local Features. - Xuyang Peng; Weifeng Liu 001; Baodi Liu; Kai Zhang 029; Xiaoping Lu; Yicong Zhou (ICANN (2), 2021)

Adaptive Multi-Feature Fusion for Robust Object Tracking. - Mengxue Liu; Yujuan Qi; Yanjiang Wang 001; Baodi Liu (ICIP, 2021)

Linked Attention-Based Dynamic Graph Convolution Module for Point Cloud Classification. - Xiaolong Lu; Baodi Liu; Weifeng Liu 001; Kai Zhang 029; Ye Li; Xiaoping Lu (ICIP, 2021)

OPS-Net: Over-Parameterized Sharing Networks for Video Frame Interpolation. - Zhenfang Wang; Yan-Jiang Wang 001; Shuai Shao 006; Bao-Di Liu (ICIP, 2021)

Affine Non-Negative Collaborative Representation for Deep Metric Learning. - Min Zhu; Bao-Di Liu; Weifeng Liu 001; Kai Zhang 029; Ye Li; Xiaoping Lu (ICIP, 2021)

SSDL: Self-Supervised Dictionary Learning. - Shuai Shao 006; Lei Xing 005; Wei Yu 004; Rui Xu 012; Yan-Jiang Wang 001; Bao-Di Liu (ICME, 2021)

Collaborative Representation for Deep Meta Metric Learning. - Min Zhu; Weifeng Liu 001; Kai Zhang 029; Ye Li; Peng Liu; Baodi Liu (ICMR, 2021)

MHFC: Multi-Head Feature Collaboration for Few-Shot Learning. - Shuai Shao 006; Lei Xing 005; Yan Wang 076; Rui Xu 012; Chunyan Zhao; Yanjiang Wang 001; Baodi Liu (ACM Multimedia, 2021)

LDAnet: a discriminant subspace for metric-based few-shot learning. - Dalei Chen; Bao-Di Liu (SMC, 2021)

Adaptive Eigenmodes for Robust Object Tracking. - Mengxue Liu; Yujuan Qi; Yanjiang Wang 001; Baodi Liu; Weifeng Liu 001 (SMC, 2021)

From Objects to a Whole Painting. - Fei Wang 032; Baodi Liu; Weifeng Liu 001 (SMC, 2021)

Lithology Identification using Well Logging Images Based on Improved Inception Network. - Rui Shan; Qiang Xing; Jinyan Zhang; Jun Wang 085; Yanjiang Wang 001; Baodi Liu (SSCI, 2021)

CIM: Class-Irrelevant Mapping for Few-Shot Classification. - Shuai Shao 006; Lei Xing 005; Yixin Chen; Yanjiang Wang 001; Bao-Di Liu; Yicong Zhou (CoRR, 2021)

CNN-combined graph residual network with multilevel feature fusion for hyperspectral image classification. - Wenhui Guo; Guixun Xu; Weifeng Liu 001; Baodi Liu; Yanjiang Wang 001 (IET Comput. Vis., 2021)

Learn from Object Counting: Crowd Counting with Meta-learning. - Changtong Zan; Baodi Liu; Weili Guan; Kai Zhang 029; Weifeng Liu 001 (IET Image Process., 2021)

Accurately modeling the human brain functional correlations with hypergraph Laplacian. - Jichao Ma; Yanjiang Wang 001; Bao-Di Liu; Weifeng Liu 001 (Neurocomputing, 2021)

Classification of Remotely Sensed Images Using an Ensemble of Improved Convolutional Network. - Li Wang 040; Yanjiang Wang 001; Yaqian Zhao; Bao-Di Liu (IEEE Geosci. Remote. Sens. Lett., 2021)

Unified Cross-domain Classification via Geometric and Statistical Adaptations. - Weifeng Liu 001; Jinfeng Li; Bao-Di Liu; Weili Guan; Yicong Zhou; Changsheng Xu (Pattern Recognit., 2021)

Cross-Dimension Attention Guided Self-Supervised Remote Sensing Single-Image Super-Resolution. - Wenzong Jiang; Lifei Zhao; Yanjiang Wang 001; Weifeng Liu 001; Bao-Di Liu (Remote. Sens., 2021)

Saliency-Guided Remote Sensing Image Super-Resolution. - Baodi Liu; Lifei Zhao; Jiaoyue Li; Hengle Zhao; Weifeng Liu 001; Ye Li; Yanjiang Wang 001; Honglong Chen; Weijia Cao (Remote. Sens., 2021)

Enrich Features for Few-Shot Point Cloud Classification. - Hengxin Feng; Weifeng Liu 001; Yanjiang Wang 001; Baodi Liu (ICASSP, 2022)

Agcyclegan: Attention-Guided Cyclegan for Single Underwater Image Restoration. - Zhenlong Wang; Weifeng Liu 001; Yanjiang Wang 001; Baodi Liu (ICASSP, 2022)

MSL-FER: Mirrored Self-Supervised Learning for Facial Expression Recognition. - Xiangshuai Pan; Weifeng Liu 001; Yanjiang Wang 001; Xiaoping Lu; Baodi Liu (ICIP, 2022)

Image Super-Resolution Based on Adaptive Feature Fusion Channel Attention. - Qizhang Song; Baodi Liu; Weifeng Liu 001 (ICONIP (3), 2022)

Virtual Try-on via Matching Relation with Landmark. - Hao Wu; Xingxing Yao; Baodi Liu; Xiaoping Lu; Weifeng Liu 001 (ICONIP (3), 2022)

EMAS: Efficient Meta Architecture Search for Few-Shot Learning. - Dongkai Liu; Jiaxing Li; Honglong Chen; Baodi Liu; Xiaoping Lu; Weifeng Liu 001 (ICTAI, 2022)

Automated Drawing Psychoanalysis via House-Tree-Person Test. - Ting Pan; Xiaoming Zhao; Baodi Liu; Weifeng Liu 001 (ICTAI, 2022)

MVFF: Multi-view Feature Fusion for Few-shot Remote Sensing Image Scene Classification. - Anxun Han; Lei Xing 005; Weifeng Liu 001; Baodi Liu (SMC, 2022)

Multi-task Facial Expression Recognition With Joint Gender Learning. - Xiangshuai Pan; Qingtao Xie; Weifeng Liu 001; Baodi Liu (SMC, 2022)

Multi-relational Semantic Distillation for Few-Shot Object Detection. - Qingtao Xie; Xiangshuai Pan; Weifeng Liu 001; Baodi Liu (SMC, 2022)

CSN: Component-Supervised Network for Few-Shot Classification. - Shuai Shao 006; Baodi Liu; Lei Xing 005; Lifei Zhao; Yanjiang Wang 001; Weifeng Liu 001; Yicong Zhou (CoRR, 2022)

Selecting task with optimal transport self-supervised learning for few-shot classification. - Renjie Xu; Xinghao Yang; Baodi Liu; Kai Zhang 029; Weifeng Liu 001 (CoRR, 2022)

A graph convolutional neural network model with Fisher vector encoding and channel-wise spatial-temporal aggregation for skeleton-based action recognition. - Jun Tang; Yanjiang Wang 001; Sichao Fu; Baodi Liu; Weifeng Liu 001 (IET Image Process., 2022)

Object re-identification with distribution corrected ranking list. - Dongchen Han; Shuai Shao 006; Weifeng Liu 001; Bao-Di Liu (Neurocomputing, 2022)

Multi-view learning for hyperspectral image classification: An overview. - Xuefei Li; Baodi Liu; Kai Zhang 029; Honglong Chen; Weijia Cao; Weifeng Liu 001; Dapeng Tao (Neurocomputing, 2022)

DLDL: Dynamic label dictionary learning via hypergraph regularization. - Shuai Shao 006; Rui Xu 012; Zhenfang Wang; Weifeng Liu 001; Yanjiang Wang 001; Bao-Di Liu (Neurocomputing, 2022)

Learning task-specific discriminative embeddings for few-shot image classification. - Lei Xing 005; Shuai Shao 006; Weifeng Liu 001; Anxun Han; Xiangshuai Pan; Bao-Di Liu (Neurocomputing, 2022)

Adaptive graph convolutional collaboration networks for semi-supervised classification. - Sichao Fu; Senlin Wang; Weifeng Liu 001; Baodi Liu; Bin Zhou; Xinhua You; Qinmu Peng; Xiao-Yuan Jing (Inf. Sci., 2022)

Adaptive multi-scale transductive information propagation for few-shot learning. - Sichao Fu; Baodi Liu; Weifeng Liu 001; Bin Zou 002; Xinhua You; Qinmu Peng; Xiao-Yuan Jing (Knowl. Based Syst., 2022)

Hyperspectral Image Classification Using CNN-Enhanced Multi-Level Haar Wavelet Features Fusion Network. - Wenhui Guo; Guixun Xu; Baodi Liu; Yanjiang Wang 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

U-Shaped Attention Connection Network for Remote-Sensing Image Super-Resolution. - Wenzong Jiang; Lifei Zhao; Yanjiang Wang 001; Weifeng Liu 001; Bao-Di Liu (IEEE Geosci. Remote. Sens. Lett., 2022)

Multiorder Interaction Information Embedding-Based Multiview Fusion-Aided Hyperspectral Image Classification. - Xuefei Li; Weijia Cao; Kai Zhang 029; Baodi Liu; Dapeng Tao; Weifeng Liu 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

Location Soft-Aggregation-Based Band Weighting for Hyperspectral Image Classification. - Xuefei Li; Baodi Liu; Kai Zhang 029; Weifeng Liu 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

A Hybrid CNN Based on Global Reasoning for Hyperspectral Image Classification. - Wuli Wang; Xiaohu Ma; Linchun Leng; Yanjiang Wang 001; Baodi Liu; Jinfeng Sun (IEEE Geosci. Remote. Sens. Lett., 2022)

Rethinking Few-Shot Remote Sensing Scene Classification: A Good Embedding Is All You Need? - Lei Xing 005; Yuteng Ma; Weijia Cao; Shuai Shao 006; Weifeng Liu 001; Baodi Liu (IEEE Geosci. Remote. Sens. Lett., 2022)

Learning to Cooperate: Decision Fusion Method for Few-Shot Remote-Sensing Scene Classification. - Lei Xing 005; Shuai Shao 006; Yuteng Ma; Yanjiang Wang 001; Weifeng Liu 001; Baodi Liu (IEEE Geosci. Remote. Sens. Lett., 2022)

Class Shared Dictionary Learning for Few-Shot Remote Sensing Scene Classification. - Lei Xing 005; Lifei Zhao; Weijia Cao; Xinmin Ge; Weifeng Liu 001; Baodi Liu (IEEE Geosci. Remote. Sens. Lett., 2022)

DMH-FSL: Dual-Modal Hypergraph for Few-Shot Learning. - Rui Xu 012; Baodi Liu; Xiaoping Lu; Kai Zhang 029; Weifeng Liu 001 (Neural Process. Lett., 2022)

Co-Learning for Few-Shot Learning. - Rui Xu 012; Lei Xing 005; Shuai Shao 006; Baodi Liu; Kai Zhang 029; Weifeng Liu 001 (Neural Process. Lett., 2022)

Multi-Scale LBP Texture Feature Learning Network for Remote Sensing Interpretation of Land Desertification. - Wuli Wang; Yumeng Jiang; Ge Wang; Fangming Guo; Zhongwei Li; Baodi Liu (Remote. Sens., 2022)

Class-Shared SparsePCA for Few-Shot Remote Sensing Scene Classification. - Jiayan Wang; Xueqin Wang; Lei Xing 005; Bao-Di Liu; Zongmin Li (Remote. Sens., 2022)

Multistep-Ahead Prediction of Ocean SSTA Based on Hybrid Empirical Mode Decomposition and Gated Recurrent Unit Model. - Xiaoyin Liu; Ning Li; Jun Guo; Zhongyong Fan; Xiaoping Lu; Weifeng Liu 001; Baodi Liu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

MDFM: Multi-Decision Fusing Model for Few-Shot Learning. - Shuai Shao 006; Lei Xing 005; Rui Xu 012; Weifeng Liu 001; Yanjiang Wang 001; Bao-Di Liu (IEEE Trans. Circuits Syst. Video Technol., 2022)

GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning. - Rui Xu 012; Lei Xing 005; Shuai Shao 006; Lifei Zhao; Baodi Liu; Weifeng Liu 001; Yicong Zhou (IEEE Trans. Circuits Syst. Video Technol., 2022)

Accurately Modeling the Resting Brain Functional Correlations Using Wave Equation With Spatiotemporal Varying Hypergraph Laplacian. - Yanjiang Wang 001; Jichao Ma; Xue Chen; Baodi Liu (IEEE Trans. Medical Imaging, 2022)

Multi-graph Laplacian Feature Mapping Incorporating Tag Information for Image Annotation. - Yan Liu; Qianqian Shao; Rui Cheng; Weifeng Liu 001; Baodi Liu (AI (1), 2023)

Interpretable Drawing Psychoanalysis via House-Tree-Person Test. - Yaowu Xie; Ting Pan; Baodi Liu; Honglong Chen; Weifeng Liu 001 (AI (2), 2023)

Attribute Space Analysis for Image Editing. - Yiping Chen; Shuqi Yang; Baodi Liu; Weifeng Liu 001 (ICIG (2), 2023)

Self-Compensating Learning for Few-Shot Segmentation. - Jin Wang; Bingfeng Zhang; Weifeng Liu 001; Baodi Liu; Siyue Yu (ICIP, 2023)

Annealing Genetic-based Preposition Substitution for Text Rubbish Example Generation. - Chen Li; Xinghao Yang; Baodi Liu; Weifeng Liu 001; Honglong Chen (IJCAI, 2023)

A Stable Vision Transformer for Out-of-Distribution Generalization. - Haoran Yu 005; Baodi Liu; Yingjie Wang 007; Kai Zhang 029; Dapeng Tao; Weifeng Liu 001 (PRCV (8), 2023)

Deep Positional-Representation-Based Local Information Retention Networks for Mammography Classification. - Bowen Han; Luhao Sun; Chao Li 075; Zhiyong Yu; Wenzong Jiang; Weifeng Liu 001; Dapeng Tao; Baodi Liu (SMC, 2023)

CSN: Component supervised network for few-shot classification. - Rui Xu 012; Shuai Shao 006; Lei Xing 005; Yujun Wei; Weifeng Liu 001; Baodi Liu; Yanjiang Wang 001 (Eng. Appl. Artif. Intell., 2023)

Selecting Information Fusion Generative Adversarial Network for Remote-Sensing Image Cloud Removal. - Yang Hao; Wenzong Jiang; Weifeng Liu 001; Ye Li; Bao-Di Liu (IEEE Geosci. Remote. Sens. Lett., 2023)

Deformable Convolutional Network Constrained by Contrastive Learning for Underwater Image Enhancement. - Jing Tian; Xinran Guo; Weifeng Liu 001; Dapeng Tao; Baodi Liu (IEEE Geosci. Remote. Sens. Lett., 2023)

Class Centralized Dictionary Learning for Few-Shot Remote Sensing Scene Classification. - Lei Wei; Lei Xing 005; Lifei Zhao; Baodi Liu (IEEE Geosci. Remote. Sens. Lett., 2023)

Double Discriminative Constraint-Based Affine Nonnegative Representation for Few-Shot Remote Sensing Scene Classification. - Tianhao Yuan; Weifeng Liu 001; Baodi Liu (IEEE Geosci. Remote. Sens. Lett., 2023)

Dynamic Adaptive Attention-Guided Self-Supervised Single Remote-Sensing Image Denoising. - Minghao Liu 016; Wenzong Jiang; Weifeng Liu 001; Dapeng Tao; Baodi Liu (IEEE Trans. Geosci. Remote. Sens., 2023)

RAN: Region-Aware Network for Remote Sensing Image Super-Resolution. - Baodi Liu; Lifei Zhao; Shuai Shao 006; Weifeng Liu 001; Dapeng Tao; Weijia Cao; Yicong Zhou (IEEE Trans. Geosci. Remote. Sens., 2023)

A Lightweight Hybrid Convolutional Neural Network for Hyperspectral Image Classification. - Xiaohu Ma; Xudong Kang; Huawei Qin; Wuli Wang; Guangbo Ren; Jianbu Wang; Baodi Liu (IEEE Trans. Geosci. Remote. Sens., 2023)

ARPCNN: Auxiliary Review-Based Personalized Attentional CNN for Trustworthy Recommendation. - Zhe Li 026; Honglong Chen; Zhichen Ni; Xiaogang Deng; Baodi Liu; Weifeng Liu 001 (IEEE Trans. Ind. Informatics, 2023)

Dictionary Learning for Few-Shot Remote Sensing Scene Classification. - Yuteng Ma; Junmin Meng; Baodi Liu; Lina Sun; Hao Zhang 100; Peng Ren 001 (Remote. Sens., 2023)

Shared Dictionary Learning Via Coupled Adaptations for Cross-Domain Classification. - Yuying Cai; Jinfeng Li; Baodi Liu; Weijia Cao; Honglong Chen; Weifeng Liu 001 (Neural Process. Lett., 2023)

Attention-Based Multi-View Feature Collaboration for Decoupled Few-Shot Learning. - Shuai Shao 006; Lei Xing 005; Yanjiang Wang 001; Baodi Liu; Weifeng Liu 001; Yicong Zhou (IEEE Trans. Circuits Syst. Video Technol., 2023)

Non-Contrastive Nearest Neighbor Identity-Guided Method for Unsupervised Object Re-Identification. - Dongchen Han; Weifeng Liu 001; Mingchen Zou; Baodi Liu (IEEE Trans. Circuits Syst. Video Technol., 2023)

Subspace prototype learning for few-Shot remote sensing scene classification. - Wuli Wang; Lei Xing 005; Peng Ren 001; Yumeng Jiang; Ge Wang; Baodi Liu (Signal Process., 2023)

Object tracking based on siamese network with 3D attention and multiple graph attention. - Shilei Yan; Yujuan Qi; Mengxue Liu; Yan-Jiang Wang 001; Baodi Liu (Comput. Vis. Image Underst., 2023)

Generation-based parallel particle swarm optimization for adversarial text attacks. - Xinghao Yang; Yupeng Qi; Honglong Chen; Baodi Liu; Weifeng Liu 001 (Inf. Sci., 2023)

Feature Fusion Based Parallel Graph Convolutional Neural Network for Image Annotation. - Mengke Wang; Yan Liu; Weifeng Liu 001; Baodi Liu (Neural Process. Lett., 2023)

Decision fusion for few-shot image classification. - Tianhao Yuan; Weifeng Liu 001; Fei Yan; Baodi Liu (Int. J. Multim. Inf. Retr., 2023)

GSA4FDA: Deep Geometric and Statistic Alignment for Fewer Labeled Domain Adaptation. - Yuying Cai; Baodi Liu; Xinghao Yang; Xiaoping Lu; Dapeng Tao; Weifeng Liu 001 (Neural Process. Lett., 2023)

Dynamic Feature Attention Network for Remote Sensing Image Dehazing. - Yang Hao; Wenzong Jiang; Weifeng Liu 001; Weijia Cao; Baodi Liu (Neural Process. Lett., 2023)

Cross-Domain Few-Shot classification via class-shared and class-specific dictionaries. - Renjie Xu; Lei Xing 005; Baodi Liu; Dapeng Tao; Weijia Cao; Weifeng Liu 001 (Pattern Recognit., 2023)

Collaborative Consortium of Foundation Models for Open-World Few-Shot Learning. - Shuai Shao 006; Yu Bai; Yan Wang 076; Baodi Liu; Bin Liu 021 (AAAI, 2024)

DeIL: Direct-and-Inverse CLIP for Open-World Few-Shot Learning. - Shuai Shao 006; Yu Bai; Yan Wang 076; Baodi Liu; Yicong Zhou (CVPR, 2024)

Adaptive Immune-based Sound-Shape Code Substitution for Adversarial Chinese Text Attacks. - Ao Wang; Xinghao Yang; Chen Li; Baodi Liu; Weifeng Liu 001 (EMNLP, 2024)

Spectral Channel-Weighting CAT for Hyperspectral Image Classification. - Yujuan Qi; Yuxuan Guo; Baodi Liu; Yanjiang Wang 001 (PRCV (13), 2024)

Discriminative Representation-Based Classifier for Few-Shot Remote Sensing Classification. - Tianhao Yuan; Weifeng Liu 001; Yingjie Wang 007; Baodi Liu (PRCV (13), 2024)

Ensembling Multi-View Discriminative Semantic Feature for Few-Shot Classification. - Rui Xu 012; Shuai Shao 006; Lei Xing 005; Yanjiang Wang 001; Baodi Liu; Weifeng Liu 001 (Eng. Appl. Artif. Intell., 2024)

Feedback-Irrelevant Mapping: An evaluation method for decoupled few-shot classification. - Rui Xu 012; Shuai Shao 006; Lei Xing 005; Yan-Jiang Wang 001; Baodi Liu; Weifeng Liu 001 (Eng. Appl. Artif. Intell., 2024)

Adaptive Gradient-based Word Saliency for adversarial text attacks. - Yupeng Qi; Xinghao Yang; Baodi Liu; Kai Zhang 029; Weifeng Liu 001 (Neurocomputing, 2024)

HSIR-ME-CPMG: A High-Resolved Pulse Sequence for the T₁ - T₂ Measurement of Unconventional Reservoir Rocks. - Xinmin Ge; Quansheng Miao; Nan Li; Yufei He; Lei Xing 006; Baodi Liu; Fu Zuo (IEEE Geosci. Remote. Sens. Lett., 2024)

MWLN: Multilevel Wavelet Learning Network for Continuous-Scale Remote-Sensing Image Super-Resolution. - Baodi Liu; Lifei Zhao; Weifeng Liu 001; Ye Li (IEEE Geosci. Remote. Sens. Lett., 2024)

Dual-Branch Feature Fusion Network Based Cross-Modal Enhanced CNN and Transformer for Hyperspectral and LiDAR Classification. - Wuli Wang; Chong Li 006; Peng Ren 001; Xinchao Lu; Jianbu Wang; Guangbo Ren; Baodi Liu (IEEE Geosci. Remote. Sens. Lett., 2024)

SELM: Self-Motivated Ensemble Learning Model for Cross-Domain Few-Shot Classification in Hyperspectral Images. - Shiyuan Zhao; Yu Bai; Shuai Shao 006; Weifeng Liu 001; Xinmin Ge; Ye Li; Baodi Liu (IEEE Geosci. Remote. Sens. Lett., 2024)

Few-shot image classification via hybrid representation. - Bao-Di Liu; Shuai Shao 006; Chunyan Zhao; Lei Xing 005; Weifeng Liu 001; Weijia Cao; Yicong Zhou (Pattern Recognit., 2024)

Weight Saliency search with Semantic Constraint for Neural Machine Translation attacks. - Wen Han; Xinghao Yang; Baodi Liu; Kai Zhang 029; Weifeng Liu 001 (Pattern Recognit. Lett., 2024)

EME: Energy-Based Multiexpert Model for Long-Tailed Remote Sensing Image Classification. - Yu Bai; Shuai Shao 006; Shiyuan Zhao; Weifeng Liu 001; Dapeng Tao; Baodi Liu (IEEE Trans. Geosci. Remote. Sens., 2024)

An Ultralightweight Hybrid CNN Based on Redundancy Removal for Hyperspectral Image Classification. - Xiaohu Ma; Wuli Wang; Wei Li 032; Jianbu Wang; Guangbo Ren; Peng Ren 001; Baodi Liu (IEEE Trans. Geosci. Remote. Sens., 2024)

Gradient Guided Multiscale Feature Collaboration Networks for Few-Shot Class-Incremental Remote Sensing Scene Classification. - Wuli Wang; Li Zhang; Sichao Fu; Peng Ren 001; Guangbo Ren; Qinmu Peng; Baodi Liu (IEEE Trans. Geosci. Remote. Sens., 2024)

Toward Cross-Domain Class-Incremental Remote Sensing Scene Classification. - Li Zhang; Sichao Fu; Wuli Wang; Peng Ren 001; Qinmu Peng; Guangbo Ren; Baodi Liu (IEEE Trans. Geosci. Remote. Sens., 2024)

MCNet: Magnitude consistency network for domain adaptive object detection under inclement environments. - Jian Pang; Weifeng Liu 001; Bingfeng Zhang; Xinghao Yang; Baodi Liu; Dapeng Tao (Pattern Recognit., 2024)

Simplified Multi-head Mechanism for Few-Shot Remote Sensing Image Classification. - Xujian Qiao; Lei Xing 005; Anxun Han; Weifeng Liu 001; Baodi Liu (Neural Process. Lett., 2024)

Beyond coordinate attention: spatial-temporal recalibration and channel scaling for skeleton-based action recognition. - Jun Tang; Sihang Gong; Yanjiang Wang 001; Baodi Liu; Chunyu Du; Boyang Gu (Signal Image Video Process., 2024)

FADS: Fourier-Augmentation Based Data-Shunting for Few-Shot Classification. - Shuai Shao 006; Yan Wang 076; Bin Liu 021; Weifeng Liu 001; Yanjiang Wang 001; Baodi Liu (IEEE Trans. Circuits Syst. Video Technol., 2024)

Non-local Graph Convolutional Network. - Chunyu Du; Shuai Shao 006; Jun Tang; Xinjing Song; Weifeng Liu 001; Baodi Liu; Yanjiang Wang 001 (Circuits Syst. Signal Process., 2024)

Design of integrated interactive system for pre-diagnosis of breast cancer pathological images based on CNN and PyQt5. - Yunkai Yang; Qijia Yang; Weifeng Liu 001; Baodi Liu (Multim. Syst., 2024)

Central Attention with Multi-Graphs for Image Annotation. - Baodi Liu; Yan Liu; Qianqian Shao; Weifeng Liu 001 (Neural Process. Lett., 2024)

Deep Location Soft-Embedding-Based Network With Regional Scoring for Mammogram Classification. - Bowen Han; Luhao Sun; Chao Li 075; Zhiyong Yu; Wenzong Jiang; Weifeng Liu 001; Dapeng Tao; Baodi Liu (IEEE Trans. Medical Imaging, 2024)

Remote sensing image cloud removal based on multi-scale spatial information perception. - Aozhe Dou; Yang Hao; Weifeng Liu 001; Liangliang Li; Zhenzhong Wang; Baodi Liu (Multim. Syst., 2024)

Multi-View Self-Supervised Auxiliary Task for Few-Shot Remote Sensing Classification. - Baodi Liu; Lei Xing; Xujian Qiao; Qian Liu (Comput. Intell., 2024)

Excluding the Impossible for Open Vocabulary Semantic Segmentation. - Shiyuan Zhao; Baodi Liu; Yu Bai; Weifeng Liu 001; Shuai Shao 006 (AAAI, 2025)

Noise-Robust Few-Shot Classification via Variational Adversarial Data Augmentation. - Renjie Xu; Baodi Liu; Kai Zhang 029; Honglong Chen; Dapeng Tao; Weifeng Liu 001 (Comput. Vis. Media, 2025)

Multi-scale region selection network in deep features for full-field mammogram classification. - Luhao Sun; Bowen Han; Wenzong Jiang; Weifeng Liu 001; Baodi Liu; Dapeng Tao; Zhiyong Yu; Chao Li 075 (Medical Image Anal., 2025)

A spatial-spectral fusion convolutional transformer network with contextual multi-head self-attention for hyperspectral image classification. - Wuli Wang; Qi Sun; Li Zhang; Peng Ren 001; Jianbu Wang; Guangbo Ren; Baodi Liu (Neural Networks, 2025)

Feature aggregation and connectivity for object re-identification. - Dongchen Han; Baodi Liu; Shuai Shao 006; Weifeng Liu 001; Yicong Zhou (Pattern Recognit., 2025)

IW-ViT: Independence-Driven Weighting Vision Transformer for out-of-distribution generalization. - Weifeng Liu 001; Haoran Yu 005; YingJie Wang 007; Baodi Liu; Dapeng Tao; Honglong Chen (Pattern Recognit., 2025)

MSC-GAN: A Multistream Complementary Generative Adversarial Network With Grouping Learning for Multitemporal Cloud Removal. - Haoran Zhou; Yanjiang Wang 001; Weifeng Liu 001; Dapeng Tao; Wei Ma; Baodi Liu (IEEE Trans. Geosci. Remote. Sens., 2025)

See Degraded Objects: A Physics-Guided Approach for Object Detection in Adverse Environments. - Weifeng Liu 001; Jian Pang; Bingfeng Zhang; Jin Wang; Baodi Liu; Dapeng Tao (IEEE Trans. Image Process., 2025)

Parentheses insertion based sentence-level text adversarial attack. - Ang Li; Xinghao Yang; Baodi Liu; Honglong Chen; Dapeng Tao; Weifeng Liu 001 (Multim. Syst., 2025)

Correction: Parentheses insertion based sentence-level text adversarial attack. - Ang Li; Xinghao Yang; Baodi Liu; Honglong Chen; Dapeng Tao; Weifeng Liu 001 (Multim. Syst., 2025)

Target data guided few-shot remote sensing scene classification in reproducing Hilbert kernel space. - Chunyu Du; Baodi Liu; Yanjiang Wang 001 (Multim. Syst., 2025)

FSDMB: few-shot object detection via double matching branch. - Baodi Liu; Qian Liu; Lei Xing; Qingtao Xie (Multim. Tools Appl., 2025)

Multiplex graph prompt collaboration for open-set social event detection. - Xiuqin Liang; Jiazhen Chen; Sichao Fu; Wuli Wang; Mingbin Feng; Tony S. Wirjanto; Qinmu Peng; Baodi Liu; Weihua Ou (Expert Syst. Appl., 2026)