Correntropy: A Localized Similarity Measure. - Weifeng Liu 001; Puskal P. Pokharel; José C. Príncipe (IJCNN, 2006)

A New Information Theoretic Measure of PDF Symmetry. - Weifeng Liu 001; Puskal P. Pokharel; José C. Príncipe (ICASSP (2), 2007)

Kernel LMS. - Puskal P. Pokharel; Weifeng Liu 001; José C. Príncipe (ICASSP (3), 2007)

A unifying criterion for instantaneous blind source separation based on correntropy. - Ruijiang Li; Weifeng Liu 001; José C. Príncipe (Signal Process., 2007)

Correntropy: Properties and Applications in Non-Gaussian Signal Processing. - Weifeng Liu 001; Puskal P. Pokharel; José C. Príncipe (IEEE Trans. Signal Process., 2007)

The wellposedness analysis of the kernel adaline. - Weifeng Liu 001; José C. Príncipe (IJCNN, 2008)

Kernel Affine Projection Algorithms. - Weifeng Liu 001; José C. Príncipe (EURASIP J. Adv. Signal Process., 2008)

The Kernel Least-Mean-Square Algorithm. - Weifeng Liu 001; Puskal P. Pokharel; José C. Príncipe (IEEE Trans. Signal Process., 2008)

A Target Detection Algorithm Based on Histogram Feature and Particle Swarm. - Weifeng Liu 001; Yanjiang Wang 001 (ICNC (3), 2009)

The correntropy MACE filter. - Kyu-Hwa Jeong; Weifeng Liu 001; Seungju Han 001; Erion Hasanbelliu; José C. Príncipe (Pattern Recognit., 2009)

Kernel least mean square algorithm with constrained growth. - Puskal P. Pokharel; Weifeng Liu 001; José C. Príncipe (Signal Process., 2009)

A low complexity robust detector in impulsive noise. - Puskal P. Pokharel; Weifeng Liu 001; José C. Príncipe (Signal Process., 2009)

An Information Theoretic Approach of Designing Sparse Kernel Adaptive Filters. - Weifeng Liu 001; Il Park 002; José C. Príncipe (IEEE Trans. Neural Networks, 2009)

Extended kernel recursive least squares algorithm. - Weifeng Liu 001; Il Park 002; Yiwen Wang 002; José C. Príncipe (IEEE Trans. Signal Process., 2009)

Correntropy for Random Variables: Properties and Applications in Statistical Inference. - Weifeng Liu 001; Puskal P. Pokharel; Jian-Wu Xu; Sohan Seth (Information Theoretic Learning, 2010)

Correntropy for Random Processes: Properties and Applications in Signal Processing. - Puskal P. Pokharel; Ignacio Santamaría; Jianwu Xu; Kyu-Hwa Jeong; Weifeng Liu 001 (Information Theoretic Learning, 2010)

Fixed-budget kernel recursive least-squares. - Steven Van Vaerenbergh; Ignacio Santamaría; Weifeng Liu 001; José C. Príncipe (ICASSP, 2010)

Facial expression recognition based on Gabor features and sparse representation. - Weifeng Liu 001; Caifeng Song; Yanjiang Wang 001; Lu Jia (ICARCV, 2012)

Laplacian support vector machines for medical diagnosis. - Caifeng Song; Weifeng Liu 001; Yanjiang Wang 001 (ICCH, 2012)

Subject-Independent Facial Expression Recognition with Biologically Inspired Features. - Weifeng Liu 001; Caifeng Song; Yanjiang Wang 001 (ICMLA (1), 2012)

Cellular Differentiation Algorithm for High Dimensional Numerical Function Optimization. - Yanjiang Wang 001; Chengna Yuan; Weifeng Liu 001 (ICMLA (1), 2012)

Facial expression recognition based on discriminative dictionary learning. - Weifeng Liu 001; Caifeng Song; Yanjiang Wang 001 (ICPR, 2012)

The eighth annual MLSP competition: Overview. - Ken Montanez; Weifeng Liu 001; Vince D. Calhoun; Catherine Huang; Kenneth E. Hild II (MLSP, 2012)

Bio-inspired invariant visual feature representation based on K-SVD and SURF algorithms. - Liying Jiang; Yanjiang Wang 001; Weifeng Liu 001 (ICIMCS, 2013)

Detection of static salient objects based on visual attention and edge features. - Hui Li; Yanjiang Wang 001; Weifeng Liu 001; Xiaomeng Wang (ICIMCS, 2013)

Facial expression recognition based on Hessian regularized support vector machine. - Caifeng Song; Weifeng Liu 001; Yanjiang Wang 001 (ICIMCS, 2013)

Object-of-interest extraction based on sparse coding. - Xiaomeng Wang; Yanjiang Wang 001; Weifeng Liu 001; Hui Li (ICIMCS, 2013)

Discriminant Multi-component Face Analysis. - Hongli Liu; Weifeng Liu 001; Liping Dong; Yanjiang Wang 001 (SMC, 2013)

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)

Dictionary learning based image enhancement for rarity detection - Weifeng Liu 001; Xiaomeng Wang; Yanjiang Wang 001 (CoRR, 2013)

Multiview Hessian Regularization for Image Annotation. - Weifeng Liu 001; Dacheng Tao (IEEE Trans. Image Process., 2013)

Hessian Regularized Support Vector Machines for Mobile Image Annotation on the Cloud. - Dapeng Tao; Lianwen Jin; Weifeng Liu 001; Xuelong Li 001 (IEEE Trans. Multim., 2013)

Editorial A Successful Change From TNN to TNNLS and a Very Successful Year. - Derong Liu 001; Charles Anderson 001; Ahmad Taher Azar; Giorgio Battistelli; Eduardo Bayro-Corrochano; Cristiano Cervellera; David A. Elizondo; Maurizio Filippone; Giorgio Gnecco; Xiaolin Hu; Tingwen Huang; Weifeng Liu 001; et al. (IEEE Trans. Neural Networks Learn. Syst., 2013)

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

Co-regularization for classification. - Yang Li; Dapeng Tao; Weifeng Liu 001; Yanjiang Wang 001 (SPAC, 2014)

Laplacian-Hessian regularization for semi-supervised classification. - Hongli Liu; Weifeng Liu 001; Dapeng Tao; Yanjiang Wang 001 (SPAC, 2014)

Laplacian regularized active learning for image segmentation. - Lianbo Zhang; Dapeng Tao; Weifeng Liu 001 (SPAC, 2014)

Multi-view Face Analysis Based on Gabor Features. - Hongli Liu; Weifeng Liu 001; Yanjiang Wang 001 (CoRR, 2014)

Multiview Hessian discriminative sparse coding for image annotation. - Weifeng Liu 001; Dacheng Tao; Jun Cheng 002; Yuan Yan Tang (Comput. Vis. Image Underst., 2014)

Sparse principle motion component for one-shot gesture recognition. - Xinghao Yang; Hongli Liu; Weifeng Liu 001; Zheng-Jun Zha (ICIMCS, 2015)

Sparse canonical correlation analysis for recognition. - Huimin Zhang; Weifeng Liu 001; Zheng-Jun Zha (ICIMCS, 2015)

Hessian Regularized Sparse Coding for Human Action Recognition. - Weifeng Liu 001; Zhen Wang; Dapeng Tao; Jun Yu 002 (MMM (2), 2015)

A general framework for co-training and its applications. - Weifeng Liu 001; Yang Li; Dapeng Tao; Yanjiang Wang 001 (Neurocomputing, 2015)

Multiview Hessian regularized logistic regression for action recognition. - Weifeng Liu 001; Hongli Liu; Dapeng Tao; Yanjiang Wang 001; Ke Lu 002 (Signal Process., 2015)

Theoretical Methods in Machine Learning. - Badong Chen; Weifeng Liu 001; José C. Príncipe (Handbook of Computational Intelligence, 2015)

Local Structure Preserving Using Manifold Regularization and Pairwise Constraints for Action Recognition. - Xueqi Ma; Zhengyang Cao; Weifeng Liu 001 (ICDM Workshops, 2016)

Semi-supervised Hessian Eigenmap for Human Action Recognition. - Xueqi Ma; Jiaxing Pan; Yue Wang; Weifeng Liu 001 (IVS, 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)

Hessian regularization by patch alignment framework. - Weifeng Liu 001; Hongli Liu; Dapeng Tao (Neurocomputing, 2016)

Manifold regularized kernel logistic regression for web image annotation. - Weifeng Liu 001; Hongli Liu; Dapeng Tao; Yanjiang Wang 001; Ke Lu 002 (Neurocomputing, 2016)

HSAE: A Hessian regularized sparse auto-encoders. - Weifeng Liu 001; Tengzhou Ma; Dapeng Tao; Jane You (Neurocomputing, 2016)

Large-scale paralleled sparse principal component analysis. - Weifeng Liu 001; Huimin Zhang; Dapeng Tao; Yanjiang Wang 001; Ke Lu 002 (Multim. Tools Appl., 2016)

Big data meets multimedia analytics. - Tat-Seng Chua; Xiangjian He; Weifeng Liu 001; Massimo Piccardi; Yonggang Wen 001; Dacheng Tao (Signal Process., 2016)

p-Laplacian Regularized Sparse Coding for Human Activity Recognition. - Weifeng Liu 001; Zheng-Jun Zha; Yanjiang Wang 001; Ke Lu 002; Dacheng Tao (IEEE Trans. Ind. Electron., 2016)

Multiple Scale Canonical Correlation Analysis Networks for Two-View Object Recognition. - Xinghao Yang; Weifeng Liu 001 (ICONIP (1), 2017)

Diversified shared latent structure based localization for blind persons. - Yujin Wang; Dapeng Tao; Weifeng Liu 001 (SPAC, 2017)

Canonical correlation analysis networks for two-view image recognition. - Xinghao Yang; Weifeng Liu 001; Dapeng Tao; Jun Cheng 002 (Inf. Sci., 2017)

Sparse Canonicial Correlation Analysis for Mobile Media Recognition on the Cloud. - Yanjiang Wang 001; Bin Zhou; Weifeng Liu 001; Huimin Zhang (J. Mobile Multimedia, 2017)

Support vector machine active learning by Hessian regularization. - Weifeng Liu 001; Lianbo Zhang; Dapeng Tao; Jun Cheng 002 (J. Vis. Commun. Image Represent., 2017)

Dictionary Learning-Based Hough Transform for Road Detection in Multispectral Image. - Weifeng Liu 001; Zhenqing Zhang; Xinghua Chen; Shuying Li; Yicong Zhou (IEEE Geosci. Remote. Sens. Lett., 2017)

Multiview Canonical Correlation Analysis Networks for Remote Sensing Image Recognition. - Xinghao Yang; Weifeng Liu 001; Dapeng Tao; Jun Cheng 002; Shuying Li (IEEE Geosci. Remote. Sens. Lett., 2017)

Cauchy Estimator Discriminant Learning for RGB-D Sensor-based Scene Classification. - Dapeng Tao; Xipeng Yang; Weifeng Liu 001; Shuifa Sun; Yanan Guo 003; Ying Yu; Jianxin Pang (Multim. Tools Appl., 2017)

Road Detection by Using a Generalized Hough Transform. - Weifeng Liu 001; Zhenqing Zhang; Shuying Li; Dapeng Tao (Remote. Sens., 2017)

LMAE: A large margin Auto-Encoders for classification. - Weifeng Liu 001; Tengzhou Ma; Qiangsheng Xie; Dapeng Tao; Jun Cheng 002 (Signal Process., 2017)

Multiview Cauchy Estimator Feature Embedding for Depth and Inertial Sensor-Based Human Action Recognition. - Yanan Guo 003; Dapeng Tao; Weifeng Liu 001; Jun Cheng 002 (IEEE Trans. Syst. Man Cybern. Syst., 2017)

The comparison of different graph convolutional neural networks for image recognition. - Sichao Fu; Xinghao Yang; Weifeng Liu 001 (ICIMCS, 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)

Color Transfer Pulse-Coupled Neural Networks for Underwater Robotic Visual Systems. - Kangjian He; Ruxin Wang 002; Dapeng Tao; Jun Cheng 002; Weifeng Liu 001 (IEEE Access, 2018)

Hypergraph p-Laplacian Regularization for Remote Sensing Image Recognition. - Xueqi Ma; Weifeng Liu 001; Shuying Li; Yicong Zhou (CoRR, 2018)

Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition. - Xueqi Ma; Weifeng Liu 001; Dapeng Tao; Yicong Zhou (CoRR, 2018)

Multiview dimension reduction via Hessian multiset canonical correlations. - Weifeng Liu 001; Xinghao Yang; Dapeng Tao; Jun Cheng 002; Yuanyan Tang (Inf. Fusion, 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)

Reinforcement online learning for emotion prediction by using physiological signals. - Weifeng Liu 001; Lianbo Zhang; Dapeng Tao; Jun Cheng 002 (Pattern Recognit. Lett., 2018)

Data mining in human activity analysis. - Xinmei Tian 001; Weifeng Liu 001; Fionn Murtagh (Signal Process., 2018)

Principal Component Analysis on Graph-Hessian. - Yichen Pan; Yicong Zhou; Weifeng Liu 001; Liqiang Nie (SSCI, 2019)

Ensemble p-Laplacian Regularization for Scene Image Recognition. - Xueqi Ma; Weifeng Liu 001; Dapeng Tao; Yicong Zhou (Cogn. Comput., 2019)

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

Two-order graph convolutional networks for semi-supervised classification. - Sichao Fu; Weifeng Liu 001; Shuying Li; Yicong Zhou (IET Image Process., 2019)

Advances in data representation and learning for pattern analysis. - C. L. Philip Chen; Xinge You; Xinbo Gao 001; Tongliang Liu; Fionn Murtagh; Weifeng Liu 001 (Neurocomputing, 2019)

HpLapGCN: Hypergraph p-Laplacian graph convolutional networks. - Sichao Fu; Weifeng Liu 001; Yicong Zhou; Liqiang Nie (Neurocomputing, 2019)

Hessian-Regularized Multitask Dictionary Learning for Remote Sensing Image Recognition. - Guanhua Feng; Weifeng Liu 001; Shuying Li; Dapeng Tao; Yicong Zhou (IEEE Geosci. Remote. Sens. Lett., 2019)

Effective human action recognition by combining manifold regularization and pairwise constraints. - Xueqi Ma; Dapeng Tao; Weifeng Liu 001 (Multim. Tools Appl., 2019)

Hessian Regularized Distance Metric Learning for People Re-Identification. - Guanhua Feng; Weifeng Liu 001; Dapeng Tao; Yicong Zhou (Neural Process. Lett., 2019)

$p$ -Laplacian Regularization for Scene Recognition. - Weifeng Liu 001; Xueqi Ma; Yicong Zhou; Dapeng Tao; Jun Cheng 002 (IEEE Trans. Cybern., 2019)

Hypergraph $p$ -Laplacian Regularization for Remotely Sensed Image Recognition. - Xueqi Ma; Weifeng Liu 001; Shuying Li; Dapeng Tao; Yicong Zhou (IEEE Trans. Geosci. 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)

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)

Learning Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation with Few Labeled Source Samples. - Jinfeng Li; Weifeng Liu 001; Yicong Zhou; Jun Yu 002; Dapeng Tao (CoRR, 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)

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

HesGCN: Hessian graph convolutional networks for semi-supervised classification. - Sichao Fu; Weifeng Liu 001; Dapeng Tao; Yicong Zhou; Liqiang Nie (Inf. Sci., 2020)

Domain Adaptation with Few Labeled Source Samples by Graph Regularization. - Jinfeng Li; Weifeng Liu 001; Yicong Zhou; Dapeng Tao; Liqiang Nie (Neural Process. Lett., 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)

Recent Advances of Manifold-based Graph Convolutional Networks for Remote Sensing Images Recognition. - Sichao Fu; Weifeng Liu 001 (Generalization with Deep Learning, 2021)

Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search. - Xinghao Yang; Weifeng Liu 001; James Bailey 001; Dacheng Tao; Wei Liu 007 (AAAI, 2021)

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)

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)

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)

Hazy Re-ID: An Interference Suppression Model for Domain Adaptation Person Re-Identification Under Inclement Weather Condition. - Jian Pang; Dacheng Zhang; Huafeng Li; Weifeng Liu 001; Zhengtao Yu 001 (ICME, 2021)

BESA: BERT-based Simulated Annealing for Adversarial Text Attacks. - Xinghao Yang; Weifeng Liu 001; Dacheng Tao; Wei Liu 007 (IJCAI, 2021)

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

Answer Questions with Right Image Regions: A Visual Attention Regularization Approach. - Yibing Liu; Yangyang Guo; Jianhua Yin; Xuemeng Song; Weifeng Liu 001; Liqiang Nie (CoRR, 2021)

Semantic-Preserving Adversarial Text Attacks. - Xinghao Yang; Weifeng Liu 001; James Bailey 001; Tianqing Zhu; Dacheng Tao; Wei Liu 007 (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)

Example-feature graph convolutional networks for semi-supervised classification. - Sichao Fu; Weifeng Liu 001; Kai Zhang 029; Yicong Zhou (Neurocomputing, 2021)

Human activity recognition by manifold regularization based dynamic graph convolutional networks. - Weifeng Liu 001; Sichao Fu; Yicong Zhou; Zheng-Jun Zha; Liqiang Nie (Neurocomputing, 2021)

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

Targeted Attention Attack on Deep Learning Models in Road Sign Recognition. - Xinghao Yang; Weifeng Liu 001; Shengli Zhang 001; Wei Liu 007; Dacheng Tao (IEEE Internet Things J., 2021)

Semi-supervised classification by graph p-Laplacian convolutional networks. - Sichao Fu; Weifeng Liu 001; Kai Zhang 029; Yicong Zhou; Dapeng Tao (Inf. Sci., 2021)

PaintNet: A shape-constrained generative framework for generating clothing from fashion model. - Junyu Lin; Xuemeng Song; Tian Gan; Yiyang Yao; Weifeng Liu 001; Liqiang Nie (Multim. Tools Appl., 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)

MKEL: Multiple Kernel Ensemble Learning via Unified Ensemble Loss for Image Classification. - Xiangjun Shen; Kou Lu; Sumet Mehta; Jianming Zhang; Weifeng Liu 001; Jianping Fan 001; Zhengjun Zha (ACM Trans. Intell. Syst. Technol., 2021)

A Survey on Canonical Correlation Analysis. - Xinghao Yang; Weifeng Liu 001; Wei Liu 007; Dacheng Tao (IEEE Trans. Knowl. Data Eng., 2021)

Dynamic Graph Learning Convolutional Networks for Semi-supervised Classification. - Sichao Fu; Weifeng Liu 001; Weili Guan; Yicong Zhou; Dapeng Tao; Changsheng Xu (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Urban Perception: Sensing Cities via a Deep Interactive Multi-task Learning Framework. - Weili Guan; Zhaozheng Chen; Fuli Feng; Weifeng Liu 001; Liqiang Nie (ACM Trans. Multim. Comput. Commun. Appl., 2021)

On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation. - Changtong Zan; Liang Ding 006; Li Shen 008; Yu Cao 014; Weifeng Liu 001; Dacheng Tao (COLING, 2022)

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)

Where Does the Performance Improvement Come From?: - A Reproducibility Concern about Image-Text Retrieval. - Jun Rao; Fei Wang 032; Liang Ding 006; Shuhan Qi; Yibing Zhan; Weifeng Liu 001; Dacheng Tao (SIGIR, 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)

Vega-MT: The JD Explore Academy Machine Translation System for WMT22. - Changtong Zan; Keqin Peng; Liang Ding 006; Baopu Qiu; Boan Liu; Shwai He; Qingyu Lu; Zheng Zhang 036; Chuang Liu 008; Weifeng Liu 001; Yibing Zhan; Dacheng Tao (WMT, 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)

Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation. - Changtong Zan; Liang Ding 006; Li Shen 008; Yu Cao 014; Weifeng Liu 001; Dacheng Tao (CoRR, 2022)

Vega-MT: The JD Explore Academy Translation System for WMT22. - Changtong Zan; Keqin Peng; Liang Ding 006; Baopu Qiu; Boan Liu; Shwai He; Qingyu Lu; Zheng Zhang 036; Chuang Liu 008; Weifeng Liu 001; Yibing Zhan; Dacheng Tao (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)

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)

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)

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)

Tensor Canonical Correlation Analysis Networks for Multi-View Remote Sensing Scene Recognition. - Xinghao Yang; Weifeng Liu 001; Wei Liu 007 (IEEE Trans. Knowl. Data Eng., 2022)

Learning Representation on Optimized High-Order Manifold for Visual Classification. - Xueqi Ma; Weifeng Liu 001; Qi Tian 001; Yue Gao 002 (IEEE Trans. Multim., 2022)

Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation. - Jinfeng Li; Weifeng Liu 001; Yicong Zhou; Jun Yu 002; Dapeng Tao; Changsheng Xu (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Answer Questions with Right Image Regions: A Visual Attention Regularization Approach. - Yibing Liu; Yangyang Guo; Jianhua Yin; Xuemeng Song; Weifeng Liu 001; Liqiang Nie; Min Zhang 005 (ACM Trans. Multim. Comput. Commun. Appl., 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)

Poisson Process for Bayesian Optimization. - Xiaoxing Wang; Jiaxing Li; Chao Xue; Wei Liu 005; Weifeng Liu 001; Xiaokang Yang 001; Junchi Yan; Dacheng Tao (AutoML, 2023)

Tensor Canonical Correlation Analysis Networks for Multi-view Remote Sensing Scene Recognition (Extended Abstract). - Xinghao Yang; Weifeng Liu 001; Wei Liu 007 (ICDE, 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)

Tilted Sparse Additive Models. - Yingjie Wang 007; Hong Chen 004; Weifeng Liu 001; Fengxiang He; Tieliang Gong; Youcheng Fu; Dacheng Tao (ICML, 2023)

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

Prompt-Learning for Cross-Lingual Relation Extraction. - Chiaming Hsu; Changtong Zan; Liang Ding 006; Longyue Wang; Xiaoting Wang; Weifeng Liu 001; Fu Lin; Wenbin Hu 001 (IJCNN, 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)

Unlikelihood Tuning on Negative Samples Amazingly Improves Zero-Shot Translation. - Changtong Zan; Liang Ding 006; Li Shen 008; Yibin Lei; Yibing Zhan; Weifeng Liu 001; Dacheng Tao (CoRR, 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)

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)

MSCET: A Multi-Scenario Offloading Schedule for Biomedical Data Processing and Analysis in Cloud-Edge-Terminal Collaborative Vehicular Networks. - Zhichen Ni; Honglong Chen; Zhe Li 026; Xiaomeng Wang; Na Yan; Weifeng Liu 001; Feng Xia 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 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)

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)

Egocentric Early Action Prediction via Adversarial Knowledge Distillation. - Na Zheng; Xuemeng Song; Tianyu Su; Weifeng Liu 001; Yan Yan 002; Liqiang Nie (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Semantic-Preserving Adversarial Text Attacks. - Xinghao Yang; Yongshun Gong; Weifeng Liu 001; James Bailey 001; Dacheng Tao; Wei Liu 007 (IEEE Trans. Sustain. Comput., 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)

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)

Self-Paced Hard Task-Example Mining for Few-Shot Classification. - Renjie Xu; Xinghao Yang; Xingxing Yao; Dapeng Tao; Weijia Cao; Xiaoping Lu; Weifeng Liu 001 (IEEE Trans. Circuits Syst. Video Technol., 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)

A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives. - Yudong Gao; Honglong Chen; Peng Sun 003; Junjian Li; Anqing Zhang; Zhibo Wang 001; Weifeng Liu 001 (AAAI, 2024)

Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation. - Jin Wang; Bingfeng Zhang; Jian Pang; Honglong Chen; Weifeng Liu 001 (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)

HTPSeg: A Semantic Segmentation Database for House-Tree-Person Psychological Test. - Hao Wang; Jin Wang; Ting Pan; Bingfeng Zhang; Weifeng Liu 001 (ICTAI, 2024)

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

Towards Training A Chinese Large Language Model for Anesthesiology. - Zhonghai Wang; Jie Jiang; Yibing Zhan; Bohao Zhou; Yanhong Li; Chong Zhang; Liang Ding 006; Hua Jin; Jun Peng; Xu Lin; Weifeng Liu 001 (CoRR, 2024)

Building Accurate Translation-Tailored LLMs with Language Aware Instruction Tuning. - Changtong Zan; Liang Ding 006; Li Shen 008; Yibing Zhen; Weifeng Liu 001; Dacheng Tao (CoRR, 2024)

Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation. - Hanyang Chi; Jian Pang; Bingfeng Zhang; Weifeng Liu 001 (CoRR, 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)

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)

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)

Enhanced online CAM: Single-stage weakly supervised semantic segmentation via collaborative guidance. - Bingfeng Zhang; Xuru Gao; Siyue Yu; Weifeng Liu 001 (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)

Investigating the Backdoor on DNNs Based on Recolorization and Reconstruction: From a Multi-Channel Perspective. - Honglong Chen; Yudong Gao; Anqing Zhang; Peng Sun 003; Nan Jiang 013; Weifeng Liu 001; Xingang Wang (IEEE Trans. Inf. Forensics Secur., 2024)

AdvST: Generating Unrestricted Adversarial Images via Style Transfer. - Xiaomeng Wang; Honglong Chen; Peng Sun 003; Junjian Li; Anqing Zhang; Weifeng Liu 001; Nan Jiang 013 (IEEE Trans. Multim., 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)

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)

Call White Black: Enhanced Image-Scaling Attack in Industrial Artificial Intelligence Systems. - Junjian Li; Honglong Chen; Peng Sun 003; Zhibo Wang 001; Zhichen Ni; Weifeng Liu 001 (IEEE Trans. Ind. Informatics, 2024)

Target Oriented Dynamic Adaption for Cross-Domain Few-Shot Learning. - Xinyi Chang; Chunyu Du; Xinjing Song; Weifeng Liu 001; Yanjiang Wang 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)

Image-Scaling Attack on Image Signal Processing Pipelines in Deep Neural Networks-Based Outdoor Vision Applications. - Junjian Li; Honglong Chen; Zhichen Ni; Yudong Gao; Weifeng Liu 001; Nan Jiang 013 (IEEE Trans. Consumer Electron., 2024)

Modeling All Response Surfaces in One for Conditional Search Spaces. - Jiaxing Li; Wei Liu; Chao Xue; Yibing Zhan; Xiaoxing Wang; Weifeng Liu 001; Dacheng Tao (AAAI, 2025)

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)

Code-switching finetuning: Bridging multilingual pretrained language models for enhanced cross-lingual performance. - Changtong Zan; Liang Ding 006; Li Shen 008; Yu Cao 014; Weifeng Liu 001 (Eng. Appl. Artif. Intell., 2025)

Hypnos: A domain-specific large language model for anesthesiology. - Zhonghai Wang; Jie Jiang; Yibing Zhan; Bohao Zhou; Yanhong Li; Chong Zhang; Baosheng Yu; Liang Ding 006; Hua Jin; Jun Peng; Xu Lin; Weifeng Liu 001 (Neurocomputing, 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)

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)

MDA-GAN: Multi-dimensional Attention Guided Concurrent-Single-Image-GAN. - Boyang Gu; Xueqin Wang; Weifeng Liu 001; Yanjiang Wang 001 (Circuits Syst. Signal Process., 2025)

SFIBA: Spatial-based Full-target Invisible Backdoor Attacks. - Yangxu Yin; Honglong Chen; Yudong Gao; Peng Sun 003; Zhishuai Li; Weifeng Liu 001 (CoRR, 2025)

FFCBA: Feature-based Full-target Clean-label Backdoor Attacks. - Yangxu Yin; Honglong Chen; Yudong Gao; Peng Sun 003; Liantao Wu; Zhe Li 026; Weifeng Liu 001 (CoRR, 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)

Benchmarking Medical LLMs on Anesthesiology: A Comprehensive Dataset in Chinese. - Bohao Zhou; Yibing Zhan; Zhonghai Wang; Yanhong Li; Chong Zhang; Baosheng Yu; Liang Ding 006; Hua Jin; Weifeng Liu 001; Xiongbin Wang; Dapeng Tao (IEEE Trans. Emerg. Top. Comput. Intell., 2025)