Weifeng Liu

According to our database, Weifeng Liu authored at least 198 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Call White Black: Enhanced Image-Scaling Attack in Industrial Artificial Intelligence Systems.

Junjian Li, Honglong Chen, Peng Sun, Zhibo Wang, Zhichen Ni, Weifeng Liu

IEEE Trans. Ind. Informatics, April, 2024

Non-local Graph Convolutional Network.

Chunyu Du, Shuai Shao, Jun Tang, Xinjing Song, Weifeng Liu, Baodi Liu, Yanjiang Wang

Circuits Syst. Signal Process., April, 2024

FADS: Fourier-Augmentation Based Data-Shunting for Few-Shot Classification.

Shuai Shao, Yan Wang, Bin Liu, Weifeng Liu, Yanjiang Wang, Baodi Liu

IEEE Trans. Circuits Syst. Video Technol., February, 2024

Simplified Multi-head Mechanism for Few-Shot Remote Sensing Image Classification.

Xujian Qiao, Lei Xing, Anxun Han, Weifeng Liu, Baodi Liu

Neural Process. Lett., February, 2024

MCNet: Magnitude consistency network for domain adaptive object detection under inclement environments.

Jian Pang, Weifeng Liu, Bingfeng Zhang, Xinghao Yang, Baodi Liu, Dapeng Tao

Pattern Recognit., January, 2024

AdvST: Generating Unrestricted Adversarial Images via Style Transfer.

Xiaomeng Wang, Honglong Chen, Peng Sun, Junjian Li, Anqing Zhang, Weifeng Liu, Nan Jiang

IEEE Trans. Multim., 2024

EME: Energy-Based Multiexpert Model for Long-Tailed Remote Sensing Image Classification.

Yu Bai, Shuai Shao, Shiyuan Zhao, Weifeng Liu, Dapeng Tao, Baodi Liu

IEEE Trans. Geosci. Remote. Sens., 2024

SELM: Self-Motivated Ensemble Learning Model for Cross-Domain Few-Shot Classification in Hyperspectral Images.

Shiyuan Zhao, Yu Bai, Shuai Shao, Weifeng Liu, Xinmin Ge, Ye Li, Baodi Liu

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, Ye Li

IEEE Geosci. Remote. Sens. Lett., 2024

A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives.

Yudong Gao, Honglong Chen, Peng Sun, Junjian Li, Anqing Zhang, Zhibo Wang, Weifeng Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Cross-Domain Few-Shot classification via class-shared and class-specific dictionaries.

Renjie Xu, Lei Xing, Baodi Liu, Dapeng Tao, Weijia Cao, Weifeng Liu

Pattern Recognit., December, 2023

Dynamic Feature Attention Network for Remote Sensing Image Dehazing.

Yang Hao, Wenzong Jiang, Weifeng Liu, Weijia Cao, Baodi Liu

Neural Process. Lett., December, 2023

GSA4FDA: Deep Geometric and Statistic Alignment for Fewer Labeled Domain Adaptation.

Yuying Cai, Baodi Liu, Xinghao Yang, Xiaoping Lu, Dapeng Tao, Weifeng Liu

Neural Process. Lett., December, 2023

Decision fusion for few-shot image classification.

Tianhao Yuan, Weifeng Liu, Fei Yan, Baodi Liu

Int. J. Multim. Inf. Retr., December, 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

IEEE Trans. Circuits Syst. Video Technol., October, 2023

Feature Fusion Based Parallel Graph Convolutional Neural Network for Image Annotation.

Mengke Wang, Yan Liu, Weifeng Liu, Baodi Liu

Neural Process. Lett., October, 2023

Generation-based parallel particle swarm optimization for adversarial text attacks.

Xinghao Yang, Yupeng Qi, Honglong Chen, Baodi Liu, Weifeng Liu

Inf. Sci., October, 2023

Non-Contrastive Nearest Neighbor Identity-Guided Method for Unsupervised Object Re-Identification.

Dongchen Han, Weifeng Liu, Mingchen Zou, Baodi Liu

IEEE Trans. Circuits Syst. Video Technol., June, 2023

Attention-Based Multi-View Feature Collaboration for Decoupled Few-Shot Learning.

Shuai Shao, Lei Xing, Yanjiang Wang, Baodi Liu, Weifeng Liu, Yicong Zhou

IEEE Trans. Circuits Syst. Video Technol., May, 2023

Shared Dictionary Learning Via Coupled Adaptations for Cross-Domain Classification.

Yuying Cai, Jinfeng Li, Baodi Liu, Weijia Cao, Honglong Chen, Weifeng Liu

Neural Process. Lett., April, 2023

Semantic-Preserving Adversarial Text Attacks.

Xinghao Yang, Yongshun Gong, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu

IEEE Trans. Sustain. Comput., 2023

Egocentric Early Action Prediction via Adversarial Knowledge Distillation.

Na Zheng, Xuemeng Song, Tianyu Su, Weifeng Liu, Yan Yan, Liqiang Nie

ACM Trans. Multim. Comput. Commun. Appl., 2023

ARPCNN: Auxiliary Review-Based Personalized Attentional CNN for Trustworthy Recommendation.

Zhe Li, Honglong Chen, Zhichen Ni, Xiaogang Deng, Baodi Liu, Weifeng Liu

IEEE Trans. Ind. Informatics, 2023

RAN: Region-Aware Network for Remote Sensing Image Super-Resolution.

Baodi Liu, Lifei Zhao, Shuai Shao, Weifeng Liu, Dapeng Tao, Weijia Cao, Yicong Zhou

IEEE Trans. Geosci. Remote. Sens., 2023

Dynamic Adaptive Attention-Guided Self-Supervised Single Remote-Sensing Image Denoising.

Minghao Liu, Wenzong Jiang, Weifeng Liu, Dapeng Tao, Baodi Liu

IEEE Trans. Geosci. Remote. Sens., 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, Xiaomeng Wang, Na Yan, Weifeng Liu, Feng Xia

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Double Discriminative Constraint-Based Affine Nonnegative Representation for Few-Shot Remote Sensing Scene Classification.

Tianhao Yuan, Weifeng Liu, Baodi Liu

IEEE Geosci. Remote. Sens. Lett., 2023

Deformable Convolutional Network Constrained by Contrastive Learning for Underwater Image Enhancement.

Jing Tian, Xinran Guo, Weifeng Liu, Dapeng Tao, Baodi Liu

IEEE Geosci. Remote. Sens. Lett., 2023

Selecting Information Fusion Generative Adversarial Network for Remote-Sensing Image Cloud Removal.

Yang Hao, Wenzong Jiang, Weifeng Liu, Ye Li, Bao-Di Liu

IEEE Geosci. Remote. Sens. Lett., 2023

CSN: Component supervised network for few-shot classification.

Rui Xu, Shuai Shao, Lei Xing, Yujun Wei, Weifeng Liu, Baodi Liu, Yanjiang Wang

Eng. Appl. Artif. Intell., 2023

Deep Positional-Representation-Based Local Information Retention Networks for Mammography Classification.

Bowen Han, Luhao Sun, Chao Li, Zhiyong Yu, Wenzong Jiang, Weifeng Liu, Dapeng Tao, Baodi Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

A Stable Vision Transformer for Out-of-Distribution Generalization.

Haoran Yu, Baodi Liu, Yingjie Wang, Kai Zhang, Dapeng Tao, Weifeng Liu

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Prompt-Learning for Cross-Lingual Relation Extraction.

Chiaming Hsu, Changtong Zan, Liang Ding, Longyue Wang, Xiaoting Wang, Weifeng Liu, Fu Lin, Wenbin Hu

Proceedings of the International Joint Conference on Neural Networks, 2023

Annealing Genetic-based Preposition Substitution for Text Rubbish Example Generation.

Chen Li, Xinghao Yang, Baodi Liu, Weifeng Liu, Honglong Chen

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Self-Compensating Learning for Few-Shot Segmentation.

Jin Wang, Bingfeng Zhang, Weifeng Liu, Baodi Liu, Siyue Yu

Proceedings of the IEEE International Conference on Image Processing, 2023

Attribute Space Analysis for Image Editing.

Yiping Chen, Shuqi Yang, Baodi Liu, Weifeng Liu

Proceedings of the Image and Graphics - 12th International Conference, 2023

Tensor Canonical Correlation Analysis Networks for Multi-view Remote Sensing Scene Recognition (Extended Abstract).

Xinghao Yang, Weifeng Liu, Wei Liu

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Interpretable Drawing Psychoanalysis via House-Tree-Person Test.

Yaowu Xie, Ting Pan, Baodi Liu, Honglong Chen, Weifeng Liu

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

Multi-graph Laplacian Feature Mapping Incorporating Tag Information for Image Annotation.

Yan Liu, Qianqian Shao, Rui Cheng, Weifeng Liu, Baodi Liu

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022

Answer Questions with Right Image Regions: A Visual Attention Regularization Approach.

Yibing Liu, Yangyang Guo, Jianhua Yin, Xuemeng Song, Weifeng Liu, Liqiang Nie, Min Zhang

ACM Trans. Multim. Comput. Commun. Appl., 2022

Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation.

Jinfeng Li, Weifeng Liu, Yicong Zhou, Jun Yu, Dapeng Tao, Changsheng Xu

ACM Trans. Multim. Comput. Commun. Appl., 2022

Learning Representation on Optimized High-Order Manifold for Visual Classification.

Xueqi Ma, Weifeng Liu, Qi Tian, Yue Gao

IEEE Trans. Multim., 2022

Tensor Canonical Correlation Analysis Networks for Multi-View Remote Sensing Scene Recognition.

Xinghao Yang, Weifeng Liu, Wei Liu

IEEE Trans. Knowl. Data Eng., 2022

GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning.

Rui Xu, Lei Xing, Shuai Shao, Lifei Zhao, Baodi Liu, Weifeng Liu, Yicong Zhou

IEEE Trans. Circuits Syst. Video Technol., 2022

MDFM: Multi-Decision Fusing Model for Few-Shot Learning.

Shuai Shao, Lei Xing, Rui Xu, Weifeng Liu, Yanjiang Wang, Bao-Di Liu

IEEE Trans. Circuits Syst. Video Technol., 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, Baodi Liu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Co-Learning for Few-Shot Learning.

Rui Xu, Lei Xing, Shuai Shao, Baodi Liu, Kai Zhang, Weifeng Liu

Neural Process. Lett., 2022

DMH-FSL: Dual-Modal Hypergraph for Few-Shot Learning.

Rui Xu, Baodi Liu, Xiaoping Lu, Kai Zhang, Weifeng Liu

Neural Process. Lett., 2022

Class Shared Dictionary Learning for Few-Shot Remote Sensing Scene Classification.

Lei Xing, Lifei Zhao, Weijia Cao, Xinmin Ge, Weifeng Liu, Baodi Liu

IEEE Geosci. Remote. Sens. Lett., 2022

Learning to Cooperate: Decision Fusion Method for Few-Shot Remote-Sensing Scene Classification.

Lei Xing, Shuai Shao, Yuteng Ma, Yanjiang Wang, Weifeng Liu, Baodi Liu

IEEE Geosci. Remote. Sens. Lett., 2022

Rethinking Few-Shot Remote Sensing Scene Classification: A Good Embedding Is All You Need?

Lei Xing, Yuteng Ma, Weijia Cao, Shuai Shao, Weifeng Liu, Baodi Liu

IEEE Geosci. Remote. Sens. Lett., 2022

Location Soft-Aggregation-Based Band Weighting for Hyperspectral Image Classification.

Xuefei Li, Baodi Liu, Kai Zhang, Weifeng Liu

IEEE Geosci. Remote. Sens. Lett., 2022

Multiorder Interaction Information Embedding-Based Multiview Fusion-Aided Hyperspectral Image Classification.

Xuefei Li, Weijia Cao, Kai Zhang, Baodi Liu, Dapeng Tao, Weifeng Liu

IEEE Geosci. Remote. Sens. Lett., 2022

U-Shaped Attention Connection Network for Remote-Sensing Image Super-Resolution.

Wenzong Jiang, Lifei Zhao, Yanjiang Wang, Weifeng Liu, Bao-Di Liu

IEEE Geosci. Remote. Sens. Lett., 2022

Adaptive multi-scale transductive information propagation for few-shot learning.

Sichao Fu, Baodi Liu, Weifeng Liu, Bin Zou, Xinhua You, Qinmu Peng, Xiao-Yuan Jing

Knowl. Based Syst., 2022

Adaptive graph convolutional collaboration networks for semi-supervised classification.

Sichao Fu, Senlin Wang, Weifeng Liu, Baodi Liu, Bin Zhou, Xinhua You, Qinmu Peng, Xiao-Yuan Jing

Inf. Sci., 2022

Learning task-specific discriminative embeddings for few-shot image classification.

Lei Xing, Shuai Shao, Weifeng Liu, Anxun Han, Xiangshuai Pan, Bao-Di Liu

Neurocomputing, 2022

DLDL: Dynamic label dictionary learning via hypergraph regularization.

Shuai Shao, Rui Xu, Zhenfang Wang, Weifeng Liu, Yanjiang Wang, Bao-Di Liu

Neurocomputing, 2022

Multi-view learning for hyperspectral image classification: An overview.

Xuefei Li, Baodi Liu, Kai Zhang, Honglong Chen, Weijia Cao, Weifeng Liu, Dapeng Tao

Neurocomputing, 2022

Object re-identification with distribution corrected ranking list.

Dongchen Han, Shuai Shao, Weifeng Liu, Bao-Di Liu

Neurocomputing, 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, Sichao Fu, Baodi Liu, Weifeng Liu

IET Image Process., 2022

Vega-MT: The JD Explore Academy Translation System for WMT22.

Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao

CoRR, 2022

Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation.

Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu, Dacheng Tao

CoRR, 2022

Selecting task with optimal transport self-supervised learning for few-shot classification.

Renjie Xu, Xinghao Yang, Baodi Liu, Kai Zhang, Weifeng Liu

CoRR, 2022

CSN: Component-Supervised Network for Few-Shot Classification.

Shuai Shao, Baodi Liu, Lei Xing, Lifei Zhao, Yanjiang Wang, Weifeng Liu, Yicong Zhou

CoRR, 2022

Vega-MT: The JD Explore Academy Machine Translation System for WMT22.

Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao

Proceedings of the Seventh Conference on Machine Translation, 2022

Multi-relational Semantic Distillation for Few-Shot Object Detection.

Qingtao Xie, Xiangshuai Pan, Weifeng Liu, Baodi Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Multi-task Facial Expression Recognition With Joint Gender Learning.

Xiangshuai Pan, Qingtao Xie, Weifeng Liu, Baodi Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

MVFF: Multi-view Feature Fusion for Few-shot Remote Sensing Image Scene Classification.

Anxun Han, Lei Xing, Weifeng Liu, Baodi Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Automated Drawing Psychoanalysis via House-Tree-Person Test.

Ting Pan, Xiaoming Zhao, Baodi Liu, Weifeng Liu

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

EMAS: Efficient Meta Architecture Search for Few-Shot Learning.

Dongkai Liu, Jiaxing Li, Honglong Chen, Baodi Liu, Xiaoping Lu, Weifeng Liu

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Virtual Try-on via Matching Relation with Landmark.

Hao Wu, Xingxing Yao, Baodi Liu, Xiaoping Lu, Weifeng Liu

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Image Super-Resolution Based on Adaptive Feature Fusion Channel Attention.

Qizhang Song, Baodi Liu, Weifeng Liu

Proceedings of the Neural Information Processing - 29th International Conference, 2022

MSL-FER: Mirrored Self-Supervised Learning for Facial Expression Recognition.

Xiangshuai Pan, Weifeng Liu, Yanjiang Wang, Xiaoping Lu, Baodi Liu

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Agcyclegan: Attention-Guided Cyclegan for Single Underwater Image Restoration.

Zhenlong Wang, Weifeng Liu, Yanjiang Wang, Baodi Liu

Proceedings of the IEEE International Conference on Acoustics, 2022

Enrich Features for Few-Shot Point Cloud Classification.

Hengxin Feng, Weifeng Liu, Yanjiang Wang, Baodi Liu

Proceedings of the IEEE International Conference on Acoustics, 2022

On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation.

Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu, Dacheng Tao

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Urban Perception: Sensing Cities via a Deep Interactive Multi-task Learning Framework.

Weili Guan, Zhaozheng Chen, Fuli Feng, Weifeng Liu, Liqiang Nie

ACM Trans. Multim. Comput. Commun. Appl., 2021

Dynamic Graph Learning Convolutional Networks for Semi-supervised Classification.

Sichao Fu, Weifeng Liu, Weili Guan, Yicong Zhou, Dapeng Tao, Changsheng Xu

ACM Trans. Multim. Comput. Commun. Appl., 2021

A Survey on Canonical Correlation Analysis.

Xinghao Yang, Weifeng Liu, Wei Liu, Dacheng Tao

IEEE Trans. Knowl. Data Eng., 2021

MKEL: Multiple Kernel Ensemble Learning via Unified Ensemble Loss for Image Classification.

Xiangjun Shen, Kou Lu, Sumet Mehta, Jianming Zhang, Weifeng Liu, Jianping Fan, Zhengjun Zha

ACM Trans. Intell. Syst. Technol., 2021

Saliency-Guided Remote Sensing Image Super-Resolution.

Baodi Liu, Lifei Zhao, Jiaoyue Li, Hengle Zhao, Weifeng Liu, Ye Li, Yanjiang Wang, Honglong Chen, Weijia Cao

Remote. Sens., 2021

Cross-Dimension Attention Guided Self-Supervised Remote Sensing Single-Image Super-Resolution.

Wenzong Jiang, Lifei Zhao, Yanjiang Wang, Weifeng Liu, Bao-Di Liu

Remote. Sens., 2021

Unified Cross-domain Classification via Geometric and Statistical Adaptations.

Weifeng Liu, Jinfeng Li, Bao-Di Liu, Weili Guan, Yicong Zhou, Changsheng Xu

Pattern Recognit., 2021

PaintNet: A shape-constrained generative framework for generating clothing from fashion model.

Junyu Lin, Xuemeng Song, Tian Gan, Yiyang Yao, Weifeng Liu, Liqiang Nie

Multim. Tools Appl., 2021

Semi-supervised classification by graph <i>p</i>-Laplacian convolutional networks.

Sichao Fu, Weifeng Liu, Kai Zhang, Yicong Zhou, Dapeng Tao

Inf. Sci., 2021

Targeted Attention Attack on Deep Learning Models in Road Sign Recognition.

Xinghao Yang, Weifeng Liu, Shengli Zhang, Wei Liu, Dacheng Tao

IEEE Internet Things J., 2021

Accurately modeling the human brain functional correlations with hypergraph Laplacian.

Jichao Ma, Yanjiang Wang, Bao-Di Liu, Weifeng Liu

Neurocomputing, 2021

Human activity recognition by manifold regularization based dynamic graph convolutional networks.

Weifeng Liu, Sichao Fu, Yicong Zhou, Zheng-Jun Zha, Liqiang Nie

Neurocomputing, 2021

Example-feature graph convolutional networks for semi-supervised classification.

Sichao Fu, Weifeng Liu, Kai Zhang, Yicong Zhou

Neurocomputing, 2021

Learn from Object Counting: Crowd Counting with Meta-learning.

Changtong Zan, Baodi Liu, Weili Guan, Kai Zhang, Weifeng Liu

IET Image Process., 2021

CNN-combined graph residual network with multilevel feature fusion for hyperspectral image classification.

Wenhui Guo, Guixun Xu, Weifeng Liu, Baodi Liu, Yanjiang Wang

IET Comput. Vis., 2021

Semantic-Preserving Adversarial Text Attacks.

Xinghao Yang, Weifeng Liu, James Bailey, Tianqing Zhu, Dacheng Tao, Wei Liu

CoRR, 2021

Answer Questions with Right Image Regions: A Visual Attention Regularization Approach.

Yibing Liu, Yangyang Guo, Jianhua Yin, Xuemeng Song, Weifeng Liu, Liqiang Nie

CoRR, 2021

From Objects to a Whole Painting.

Fei Wang, Baodi Liu, Weifeng Liu

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Adaptive Eigenmodes for Robust Object Tracking.

Mengxue Liu, Yujuan Qi, Yanjiang Wang, Baodi Liu, Weifeng Liu

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Collaborative Representation for Deep Meta Metric Learning.

Min Zhu, Weifeng Liu, Kai Zhang, Ye Li, Peng Liu, Baodi Liu

Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

BESA: BERT-based Simulated Annealing for Adversarial Text Attacks.

Xinghao Yang, Weifeng Liu, Dacheng Tao, Wei Liu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 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, Zhengtao Yu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Affine Non-Negative Collaborative Representation for Deep Metric Learning.

Min Zhu, Bao-Di Liu, Weifeng Liu, Kai Zhang, Ye Li, Xiaoping Lu

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Linked Attention-Based Dynamic Graph Convolution Module for Point Cloud Classification.

Xiaolong Lu, Baodi Liu, Weifeng Liu, Kai Zhang, Ye Li, Xiaoping Lu

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Leveraging GANs via Non-local Features.

Xuyang Peng, Weifeng Liu, Baodi Liu, Kai Zhang, Xiaoping Lu, Yicong Zhou

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Edge Loss for Remote Sensing Image Super-Resolution.

Jiaoyue Li, Weifeng Liu, Kai Zhang, Baodi Liu

Proceedings of CECNet 2021, 2021

Interference Distillation for Underwater Fish Recognition.

Jian Pang, Weifeng Liu, Baodi Liu, Dapeng Tao, Kai Zhang, Xiaoping Lu

Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search.

Xinghao Yang, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Recent Advances of Manifold-based Graph Convolutional Networks for Remote Sensing Images Recognition.

Sichao Fu, Weifeng Liu

Proceedings of the Generalization with Deep Learning: For Improvement on Sensing Capability, 2021

2020

Class specific or shared? A cascaded dictionary learning framework for image classification.

Yanjiang Wang, Shuai Shao, Rui Xu, Weifeng Liu, Bao-Di Liu

Signal Process., 2020

Domain Adaptation with Few Labeled Source Samples by Graph Regularization.

Jinfeng Li, Weifeng Liu, Yicong Zhou, Dapeng Tao, Liqiang Nie

Neural Process. Lett., 2020

HesGCN: Hessian graph convolutional networks for semi-supervised classification.

Sichao Fu, Weifeng Liu, Dapeng Tao, Yicong Zhou, Liqiang Nie

Inf. Sci., 2020

Label embedded dictionary learning for image classification.

Shuai Shao, Rui Xu, Weifeng Liu, Bao-Di Liu, Yanjiang Wang

Neurocomputing, 2020

SAHDL: Sparse Attention Hypergraph Regularized Dictionary Learning.

Shuai Shao, Rui Xu, Yanjiang Wang, Weifeng Liu, Bao-Di Liu

CoRR, 2020

Learning Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation with Few Labeled Source Samples.

Jinfeng Li, Weifeng Liu, Yicong Zhou, Jun Yu, Dapeng Tao

CoRR, 2020

Probabilistic Memory Model for Visual Images Categorization.

Linxia Xiao, Yanjiang Wang, Baodi Liu, Weifeng Liu

Comput. Informatics, 2020

Understanding the Relationship Between Human Brain Structure and Function by Predicting the Structural Connectivity From Functional Connectivity.

Yanjiang Wang, Xue Chen, Bao-Di Liu, Weifeng Liu, Richard Martin Shiffrin

IEEE Access, 2020

Local structure alignment guided domain adaptation with few source samples.

Yuying Cai, Jinfeng Li, Bao-Di Liu, Weifeng Liu, Kai Zhang, Changsheng Xu

Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020

2019

Hypergraph $p$ -Laplacian Regularization for Remotely Sensed Image Recognition.

Xueqi Ma, Weifeng Liu, Shuying Li, Dapeng Tao, Yicong Zhou

IEEE Trans. Geosci. Remote. Sens., 2019

$p$ -Laplacian Regularization for Scene Recognition.

Weifeng Liu, Xueqi Ma, Yicong Zhou, Dapeng Tao, Jun Cheng

IEEE Trans. Cybern., 2019

Hessian Regularized Distance Metric Learning for People Re-Identification.

Guanhua Feng, Weifeng Liu, Dapeng Tao, Yicong Zhou

Neural Process. Lett., 2019

Effective human action recognition by combining manifold regularization and pairwise constraints.

Xueqi Ma, Dapeng Tao, Weifeng Liu

Multim. Tools Appl., 2019

Hessian-Regularized Multitask Dictionary Learning for Remote Sensing Image Recognition.

Guanhua Feng, Weifeng Liu, Shuying Li, Dapeng Tao, Yicong Zhou

IEEE Geosci. Remote. Sens. Lett., 2019

HpLapGCN: Hypergraph <i>p</i>-Laplacian graph convolutional networks.

Sichao Fu, Weifeng Liu, Yicong Zhou, Liqiang Nie

Neurocomputing, 2019

Advances in data representation and learning for pattern analysis.

C. L. Philip Chen, Xinge You, Xinbo Gao, Tongliang Liu, Fionn Murtagh, Weifeng Liu

Neurocomputing, 2019

Two-order graph convolutional networks for semi-supervised classification.

Sichao Fu, Weifeng Liu, Shuying Li, Yicong Zhou

IET Image Process., 2019

Label Embedded Dictionary Learning for Image Classification.

Shuai Shao, Yanjiang Wang, Bao-Di Liu, Weifeng Liu

CoRR, 2019

Ensemble p-Laplacian Regularization for Scene Image Recognition.

Xueqi Ma, Weifeng Liu, Dapeng Tao, Yicong Zhou

Cogn. Comput., 2019

Principal Component Analysis on Graph-Hessian.

Yichen Pan, Yicong Zhou, Weifeng Liu, Liqiang Nie

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018

Data mining in human activity analysis.

Xinmei Tian, Weifeng Liu, Fionn Murtagh

Signal Process., 2018

Reinforcement online learning for emotion prediction by using physiological signals.

Weifeng Liu, Lianbo Zhang, Dapeng Tao, Jun Cheng

Pattern Recognit. Lett., 2018

Biological modeling of human visual system for object recognition using GLoP filters and sparse coding on multi-manifolds.

Limiao Deng, Yanjiang Wang, Bao-Di Liu, Weifeng Liu, Yujuan Qi

Mach. Vis. Appl., 2018

Multiview dimension reduction via Hessian multiset canonical correlations.

Weifeng Liu, Xinghao Yang, Dapeng Tao, Jun Cheng, Yuanyan Tang

Inf. Fusion, 2018

Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition.

Xueqi Ma, Weifeng Liu, Dapeng Tao, Yicong Zhou

CoRR, 2018

Hypergraph p-Laplacian Regularization for Remote Sensing Image Recognition.

Xueqi Ma, Weifeng Liu, Shuying Li, Yicong Zhou

CoRR, 2018

Color Transfer Pulse-Coupled Neural Networks for Underwater Robotic Visual Systems.

Kangjian He, Ruxin Wang, Dapeng Tao, Jun Cheng, Weifeng Liu

IEEE Access, 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, Weifeng Liu, Bao-Di Liu

Proceedings of the 2018 IEEE International Conference on Signal Processing, 2018

The comparison of different graph convolutional neural networks for image recognition.

Sichao Fu, Xinghao Yang, Weifeng Liu

Proceedings of the 10th International Conference on Internet Multimedia Computing and Service, 2018

2017

Multiview Cauchy Estimator Feature Embedding for Depth and Inertial Sensor-Based Human Action Recognition.

Yanan Guo, Dapeng Tao, Weifeng Liu, Jun Cheng

IEEE Trans. Syst. Man Cybern. Syst., 2017

LMAE: A large margin Auto-Encoders for classification.

Weifeng Liu, Tengzhou Ma, Qiangsheng Xie, Dapeng Tao, Jun Cheng

Signal Process., 2017

Road Detection by Using a Generalized Hough Transform.

Weifeng Liu, Zhenqing Zhang, Shuying Li, Dapeng Tao

Remote. Sens., 2017

Cauchy Estimator Discriminant Learning for RGB-D Sensor-based Scene Classification.

Dapeng Tao, Xipeng Yang, Weifeng Liu, Shuifa Sun, Yanan Guo, Ying Yu, Jianxin Pang

Multim. Tools Appl., 2017

Multiview Canonical Correlation Analysis Networks for Remote Sensing Image Recognition.

Xinghao Yang, Weifeng Liu, Dapeng Tao, Jun Cheng, Shuying Li

IEEE Geosci. Remote. Sens. Lett., 2017

Dictionary Learning-Based Hough Transform for Road Detection in Multispectral Image.

Weifeng Liu, Zhenqing Zhang, Xinghua Chen, Shuying Li, Yicong Zhou

IEEE Geosci. Remote. Sens. Lett., 2017

Support vector machine active learning by Hessian regularization.

Weifeng Liu, Lianbo Zhang, Dapeng Tao, Jun Cheng

J. Vis. Commun. Image Represent., 2017

Sparse Canonicial Correlation Analysis for Mobile Media Recognition on the Cloud.

Yanjiang Wang, Bin Zhou, Weifeng Liu, Huimin Zhang

J. Mobile Multimedia, 2017

Canonical correlation analysis networks for two-view image recognition.

Xinghao Yang, Weifeng Liu, Dapeng Tao, Jun Cheng

Inf. Sci., 2017

Diversified shared latent structure based localization for blind persons.

Yujin Wang, Dapeng Tao, Weifeng Liu

Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

Multiple Scale Canonical Correlation Analysis Networks for Two-View Object Recognition.

Xinghao Yang, Weifeng Liu

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

p-Laplacian Regularized Sparse Coding for Human Activity Recognition.

Weifeng Liu, Zheng-Jun Zha, Yanjiang Wang, Ke Lu, Dacheng Tao

IEEE Trans. Ind. Electron., 2016

Big data meets multimedia analytics.

Tat-Seng Chua, Xiangjian He, Weifeng Liu, Massimo Piccardi, Yonggang Wen, Dacheng Tao

Signal Process., 2016

Large-scale paralleled sparse principal component analysis.

Weifeng Liu, Huimin Zhang, Dapeng Tao, Yanjiang Wang, Ke Lu

Multim. Tools Appl., 2016

HSAE: A Hessian regularized sparse auto-encoders.

Weifeng Liu, Tengzhou Ma, Dapeng Tao, Jane You

Neurocomputing, 2016

Manifold regularized kernel logistic regression for web image annotation.

Weifeng Liu, Hongli Liu, Dapeng Tao, Yanjiang Wang, Ke Lu

Neurocomputing, 2016

Hessian regularization by patch alignment framework.

Weifeng Liu, Hongli Liu, Dapeng Tao

Neurocomputing, 2016

Class specific dictionary learning based kernel collaborative representation for fine-grained image classification.

Xiaojie Feng, Yanjiang Wang, Bao-Di Liu, Weifeng Liu

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Semi-supervised Hessian Eigenmap for Human Action Recognition.

Xueqi Ma, Jiaxing Pan, Yue Wang, Weifeng Liu

Proceedings of the Intelligent Visual Surveillance - 4th Chinese Conference, 2016

Local Structure Preserving Using Manifold Regularization and Pairwise Constraints for Action Recognition.

Xueqi Ma, Zhengyang Cao, Weifeng Liu

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015

Theoretical Methods in Machine Learning.

Badong Chen, Weifeng Liu, José C. Príncipe

Proceedings of the Springer Handbook of Computational Intelligence, 2015

Multiview Hessian regularized logistic regression for action recognition.

Weifeng Liu, Hongli Liu, Dapeng Tao, Yanjiang Wang, Ke Lu

Signal Process., 2015

A general framework for co-training and its applications.

Weifeng Liu, Yang Li, Dapeng Tao, Yanjiang Wang

Neurocomputing, 2015

Hessian Regularized Sparse Coding for Human Action Recognition.

Weifeng Liu, Zhen Wang, Dapeng Tao, Jun Yu

Proceedings of the MultiMedia Modeling - 21st International Conference, 2015

Sparse canonical correlation analysis for recognition.

Huimin Zhang, Weifeng Liu, Zheng-Jun Zha

Proceedings of the 7th International Conference on Internet Multimedia Computing and Service, 2015

Sparse principle motion component for one-shot gesture recognition.

Xinghao Yang, Hongli Liu, Weifeng Liu, Zheng-Jun Zha

Proceedings of the 7th International Conference on Internet Multimedia Computing and Service, 2015

2014

Multiview Hessian discriminative sparse coding for image annotation.

Weifeng Liu, Dacheng Tao, Jun Cheng, Yuan Yan Tang

Comput. Vis. Image Underst., 2014

Multi-view Face Analysis Based on Gabor Features.

Hongli Liu, Weifeng Liu, Yanjiang Wang

CoRR, 2014

Laplacian regularized active learning for image segmentation.

Lianbo Zhang, Dapeng Tao, Weifeng Liu

Proceedings of the Proceedings IEEE International Conference on Security, 2014

Laplacian-Hessian regularization for semi-supervised classification.

Hongli Liu, Weifeng Liu, Dapeng Tao, Yanjiang Wang

Proceedings of the Proceedings IEEE International Conference on Security, 2014

Co-regularization for classification.

Yang Li, Dapeng Tao, Weifeng Liu, Yanjiang Wang

Proceedings of the Proceedings IEEE International Conference on Security, 2014

Class specific subspace learning for collaborative representation.

Bao-Di Liu, Bin Shen, Yu-Xiong Wang, Weifeng Liu, Yanjiang Wang

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

2013

Editorial A Successful Change From TNN to TNNLS and a Very Successful Year.

Derong Liu, Charles Anderson, Ahmad Taher Azar, Giorgio Battistelli, Eduardo Bayro-Corrochano, Cristiano Cervellera, David A. Elizondo, Maurizio Filippone, Giorgio Gnecco, Xiaolin Hu, Tingwen Huang, Weifeng Liu, Wenlian Lu, Ana Maria Madureira, Igor Skrjanc, Thomas Villmann, Q. M. Jonathan Wu, Shengli Xie, Dong Xu

IEEE Trans. Neural Networks Learn. Syst., 2013

Hessian Regularized Support Vector Machines for Mobile Image Annotation on the Cloud.

Dapeng Tao, Lianwen Jin, Weifeng Liu, Xuelong Li

IEEE Trans. Multim., 2013

Multiview Hessian Regularization for Image Annotation.

Weifeng Liu, Dacheng Tao

IEEE Trans. Image Process., 2013

Dictionary learning based image enhancement for rarity detection

Weifeng Liu, Xiaomeng Wang, Yanjiang Wang

CoRR, 2013

Self-Explanatory Convex Sparse Representation for Image Classification.

Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Yu-Jin Zhang, Yanjiang Wang, Weifeng Liu

Proceedings of the IEEE International Conference on Systems, 2013

Discriminant Multi-component Face Analysis.

Hongli Liu, Weifeng Liu, Liping Dong, Yanjiang Wang

Proceedings of the IEEE International Conference on Systems, 2013

Object-of-interest extraction based on sparse coding.

Xiaomeng Wang, Yanjiang Wang, Weifeng Liu, Hui Li

Proceedings of the International Conference on Internet Multimedia Computing and Service, 2013

Facial expression recognition based on Hessian regularized support vector machine.

Caifeng Song, Weifeng Liu, Yanjiang Wang

Proceedings of the International Conference on Internet Multimedia Computing and Service, 2013

Detection of static salient objects based on visual attention and edge features.

Hui Li, Yanjiang Wang, Weifeng Liu, Xiaomeng Wang

Proceedings of the International Conference on Internet Multimedia Computing and Service, 2013

Bio-inspired invariant visual feature representation based on K-SVD and SURF algorithms.

Liying Jiang, Yanjiang Wang, Weifeng Liu

Proceedings of the International Conference on Internet Multimedia Computing and Service, 2013

2012

The eighth annual MLSP competition: Overview.

Ken Montanez, Weifeng Liu, Vince D. Calhoun, Catherine Huang, Kenneth E. Hild II

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Facial expression recognition based on discriminative dictionary learning.

Weifeng Liu, Caifeng Song, Yanjiang Wang

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Cellular Differentiation Algorithm for High Dimensional Numerical Function Optimization.

Yanjiang Wang, Chengna Yuan, Weifeng Liu

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Subject-Independent Facial Expression Recognition with Biologically Inspired Features.

Weifeng Liu, Caifeng Song, Yanjiang Wang

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Laplacian support vector machines for medical diagnosis.

Caifeng Song, Weifeng Liu, Yanjiang Wang

Proceedings of the International Conference on Computerized Healthcare, 2012

Facial expression recognition based on Gabor features and sparse representation.

Weifeng Liu, Caifeng Song, Yanjiang Wang, Lu Jia

Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012

2010

Fixed-budget kernel recursive least-squares.

Steven Van Vaerenbergh, Ignacio Santamaría, Weifeng Liu, José C. Príncipe

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

Extended kernel recursive least squares algorithm.

Weifeng Liu, Il Park, Yiwen Wang, José C. Príncipe

IEEE Trans. Signal Process., 2009

An Information Theoretic Approach of Designing Sparse Kernel Adaptive Filters.

Weifeng Liu, Il Park, José C. Príncipe

IEEE Trans. Neural Networks, 2009

A low complexity robust detector in impulsive noise.

Puskal P. Pokharel, Weifeng Liu, José C. Príncipe

Signal Process., 2009

Kernel least mean square algorithm with constrained growth.

Puskal P. Pokharel, Weifeng Liu, José C. Príncipe

Signal Process., 2009

The correntropy MACE filter.

Kyu-Hwa Jeong, Weifeng Liu, Seungju Han, Erion Hasanbelliu, José C. Príncipe

Pattern Recognit., 2009

A Target Detection Algorithm Based on Histogram Feature and Particle Swarm.

Weifeng Liu, Yanjiang Wang

Proceedings of the Fifth International Conference on Natural Computation, 2009

2008

The Kernel Least-Mean-Square Algorithm.

Weifeng Liu, Puskal P. Pokharel, José C. Príncipe

IEEE Trans. Signal Process., 2008

Kernel Affine Projection Algorithms.

Weifeng Liu, José C. Príncipe

EURASIP J. Adv. Signal Process., 2008

The wellposedness analysis of the kernel adaline.

Weifeng Liu, José C. Príncipe

Proceedings of the International Joint Conference on Neural Networks, 2008

2007

Correntropy: Properties and Applications in Non-Gaussian Signal Processing.

Weifeng Liu, Puskal P. Pokharel, José C. Príncipe

IEEE Trans. Signal Process., 2007

A unifying criterion for instantaneous blind source separation based on correntropy.

Ruijiang Li, Weifeng Liu, José C. Príncipe

Signal Process., 2007

Kernel LMS.

Puskal P. Pokharel, Weifeng Liu, José C. Príncipe

Proceedings of the IEEE International Conference on Acoustics, 2007

A New Information Theoretic Measure of PDF Symmetry.

Weifeng Liu, Puskal P. Pokharel, José C. Príncipe

Proceedings of the IEEE International Conference on Acoustics, 2007

2006

Correntropy: A Localized Similarity Measure.

Weifeng Liu, Puskal P. Pokharel, José C. Príncipe

Proceedings of the International Joint Conference on Neural Networks, 2006