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ORCIDWeifeng Liu 0001
刘伟锋
Person information
- unicode name: 刘伟锋
- affiliation: China University of Petroleum, Qingdao, College of Information and Control Engineering
Other persons with the same name
- Weifeng Liu — disambiguation page
- Weifeng Liu 0002
![[0000-0003-1729-7448]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1729-7448")
— China University of Petroleum, Beijing, China (and 3 more) - Weifeng Liu 0003 — Xidian University, Institute of Microelectronics, Xi'an, China
- Weifeng Liu 0004 — Hangzhou Dianzi University, School of Automation, China (and 1 more)
- Weifeng Liu 0005 — Institute of Applied Physics and Computational Mathematics, Beijing, China
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2020 – today
- 2023
[j99]Xinghao Yang, Yupeng Qi, Honglong Chen, Baodi Liu, Weifeng Liu:
Generation-based parallel particle swarm optimization for adversarial text attacks. Inf. Sci. 644: 119237 (2023)- [j98]Yang Hao, Wenzong Jiang, Weifeng Liu, Ye Li, Bao-Di Liu:
Selecting Information Fusion Generative Adversarial Network for Remote-Sensing Image Cloud Removal. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j97]Jing Tian, Xinran Guo, Weifeng Liu, Dapeng Tao, Baodi Liu:
Deformable Convolutional Network Constrained by Contrastive Learning for Underwater Image Enhancement. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j96]Tianhao Yuan, Weifeng Liu, Baodi Liu:
Double Discriminative Constraint-Based Affine Nonnegative Representation for Few-Shot Remote Sensing Scene Classification. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j95]Yuying Cai, Jinfeng Li, Baodi Liu, Weijia Cao, Honglong Chen, Weifeng Liu:
Shared Dictionary Learning Via Coupled Adaptations for Cross-Domain Classification. Neural Process. Lett. 55(2): 1869-1888 (2023) - [j94]Renjie Xu, Lei Xing, Baodi Liu, Dapeng Tao, Weijia Cao, Weifeng Liu:
Cross-Domain Few-Shot classification via class-shared and class-specific dictionaries. Pattern Recognit. 144: 109811 (2023) - [j93]Zhichen Ni, Honglong Chen, Zhe Li, Xiaomeng Wang, Na Yan, Weifeng Liu, Feng Xia:
MSCET: A Multi-Scenario Offloading Schedule for Biomedical Data Processing and Analysis in Cloud-Edge-Terminal Collaborative Vehicular Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 20(4): 2376-2386 (2023) - [j92]Shuai Shao, Lei Xing, Yanjiang Wang, Baodi Liu, Weifeng Liu, Yicong Zhou:
Attention-Based Multi-View Feature Collaboration for Decoupled Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2357-2369 (2023) - [j91]Dongchen Han, Weifeng Liu, Mingchen Zou, Baodi Liu:
Non-Contrastive Nearest Neighbor Identity-Guided Method for Unsupervised Object Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 33(6): 2713-2723 (2023) - [j90]Minghao Liu, Wenzong Jiang, Weifeng Liu, Dapeng Tao, Baodi Liu:
Dynamic Adaptive Attention-Guided Self-Supervised Single Remote-Sensing Image Denoising. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - [j89]Zhe Li, Honglong Chen, Zhichen Ni, Xiaogang Deng, Baodi Liu, Weifeng Liu:
ARPCNN: Auxiliary Review-Based Personalized Attentional CNN for Trustworthy Recommendation. IEEE Trans. Ind. Informatics 19(1): 1018-1029 (2023) - [j88]Na Zheng, Xuemeng Song, Tianyu Su, Weifeng Liu, Yan Yan, Liqiang Nie:
Egocentric Early Action Prediction via Adversarial Knowledge Distillation. ACM Trans. Multim. Comput. Commun. Appl. 19(2): 59:1-59:21 (2023) - [c59]Xinghao Yang, Weifeng Liu, Wei Liu:
Tensor Canonical Correlation Analysis Networks for Multi-view Remote Sensing Scene Recognition (Extended Abstract). ICDE 2023: 3835-3836 - [c58]Chen Li, Xinghao Yang, Baodi Liu, Weifeng Liu, Honglong Chen:
Annealing Genetic-based Preposition Substitution for Text Rubbish Example Generation. IJCAI 2023: 5122-5130 - [i24]Chiaming Hsu, Changtong Zan, Liang Ding, Longyue Wang, Xiaoting Wang, Weifeng Liu, Fu Lin, Wenbin Hu:
Prompt-Learning for Cross-Lingual Relation Extraction. CoRR abs/2304.10354 (2023) - 2022
- [j87]Jun Tang, Yanjiang Wang, Sichao Fu, Baodi Liu, Weifeng Liu:
A graph convolutional neural network model with Fisher vector encoding and channel-wise spatial-temporal aggregation for skeleton-based action recognition. IET Image Process. 16(5): 1433-1443 (2022) - [j86]Shuai Shao, Rui Xu, Zhenfang Wang, Weifeng Liu, Yanjiang Wang, Bao-Di Liu:
DLDL: Dynamic label dictionary learning via hypergraph regularization. Neurocomputing 475: 80-88 (2022) - [j85]Lei Xing, Shuai Shao, Weifeng Liu, Anxun Han, Xiangshuai Pan, Bao-Di Liu:
Learning task-specific discriminative embeddings for few-shot image classification. Neurocomputing 488: 1-13 (2022) - [j84]Xuefei Li, Baodi Liu, Kai Zhang, Honglong Chen, Weijia Cao, Weifeng Liu, Dapeng Tao:
Multi-view learning for hyperspectral image classification: An overview. Neurocomputing 500: 499-517 (2022) - [j83]Dongchen Han, Shuai Shao, Weifeng Liu, Bao-Di Liu:
Object re-identification with distribution corrected ranking list. Neurocomputing 506: 117-127 (2022) - [j82]Sichao Fu, Senlin Wang, Weifeng Liu, Baodi Liu, Bin Zhou, Xinhua You, Qinmu Peng, Xiao-Yuan Jing:
Adaptive graph convolutional collaboration networks for semi-supervised classification. Inf. Sci. 611: 262-276 (2022) - [j81]Sichao Fu, Baodi Liu, Weifeng Liu, Bin Zou, Xinhua You, Qinmu Peng, Xiao-Yuan Jing:
Adaptive multi-scale transductive information propagation for few-shot learning. Knowl. Based Syst. 249: 108979 (2022) - [j80]Wenzong Jiang, Lifei Zhao, Yanjiang Wang, Weifeng Liu, Bao-Di Liu:
U-Shaped Attention Connection Network for Remote-Sensing Image Super-Resolution. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j79]Xuefei Li, Weijia Cao, Kai Zhang, Baodi Liu, Dapeng Tao, Weifeng Liu:
Multiorder Interaction Information Embedding-Based Multiview Fusion-Aided Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j78]Xuefei Li, Baodi Liu, Kai Zhang, Weifeng Liu:
Location Soft-Aggregation-Based Band Weighting for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j77]Lei Xing, Yuteng Ma, Weijia Cao, Shuai Shao, Weifeng Liu, Baodi Liu:
Rethinking Few-Shot Remote Sensing Scene Classification: A Good Embedding Is All You Need? IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j76]Lei Xing, Shuai Shao, Yuteng Ma, Yanjiang Wang, Weifeng Liu, Baodi Liu:
Learning to Cooperate: Decision Fusion Method for Few-Shot Remote-Sensing Scene Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j75]Lei Xing, Lifei Zhao, Weijia Cao, Xinmin Ge, Weifeng Liu, Baodi Liu:
Class Shared Dictionary Learning for Few-Shot Remote Sensing Scene Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j74]Rui Xu, Baodi Liu, Xiaoping Lu, Kai Zhang, Weifeng Liu:
DMH-FSL: Dual-Modal Hypergraph for Few-Shot Learning. Neural Process. Lett. 54(2): 1317-1332 (2022) - [j73]Rui Xu, Lei Xing, Shuai Shao, Baodi Liu, Kai Zhang, Weifeng Liu:
Co-Learning for Few-Shot Learning. Neural Process. Lett. 54(4): 3339-3356 (2022) - [j72]Xiaoyin Liu, Ning Li, Jun Guo, Zhongyong Fan, Xiaoping Lu, Weifeng Liu, Baodi Liu:
Multistep-Ahead Prediction of Ocean SSTA Based on Hybrid Empirical Mode Decomposition and Gated Recurrent Unit Model. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 7525-7538 (2022) - [j71]Shuai Shao, Lei Xing, Rui Xu, Weifeng Liu, Yanjiang Wang, Bao-Di Liu:
MDFM: Multi-Decision Fusing Model for Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5151-5162 (2022) - [j70]Rui Xu, Lei Xing, Shuai Shao, Lifei Zhao, Baodi Liu, Weifeng Liu, Yicong Zhou:
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8674-8687 (2022) - [j69]Xinghao Yang, Weifeng Liu, Wei Liu:
Tensor Canonical Correlation Analysis Networks for Multi-View Remote Sensing Scene Recognition. IEEE Trans. Knowl. Data Eng. 34(6): 2948-2961 (2022) - [j68]Xueqi Ma, Weifeng Liu, Qi Tian, Yue Gao:
Learning Representation on Optimized High-Order Manifold for Visual Classification. IEEE Trans. Multim. 24: 3989-4001 (2022) - [j67]Jinfeng Li, Weifeng Liu, Yicong Zhou, Jun Yu, Dapeng Tao, Changsheng Xu:
Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation. ACM Trans. Multim. Comput. Commun. Appl. 18(3): 72:1-72:18 (2022) - [j66]Yibing Liu, Yangyang Guo, Jianhua Yin, Xuemeng Song, Weifeng Liu, Liqiang Nie, Min Zhang:
Answer Questions with Right Image Regions: A Visual Attention Regularization Approach. ACM Trans. Multim. Comput. Commun. Appl. 18(4): 93:1-93:18 (2022) - [c57]Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu, Dacheng Tao:
On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation. COLING 2022: 5029-5034 - [c56]Hengxin Feng, Weifeng Liu, Yanjiang Wang, Baodi Liu:
Enrich Features for Few-Shot Point Cloud Classification. ICASSP 2022: 2285-2289 - [c55]Zhenlong Wang, Weifeng Liu, Yanjiang Wang, Baodi Liu:
Agcyclegan: Attention-Guided Cyclegan for Single Underwater Image Restoration. ICASSP 2022: 2779-2783 - [c54]Xiangshuai Pan, Weifeng Liu, Yanjiang Wang, Xiaoping Lu, Baodi Liu:
MSL-FER: Mirrored Self-Supervised Learning for Facial Expression Recognition. ICIP 2022: 1601-1605 - [c53]Hao Wu, Xingxing Yao, Baodi Liu, Xiaoping Lu, Weifeng Liu:
Virtual Try-on via Matching Relation with Landmark. ICONIP (3) 2022: 48-60 - [c52]Qizhang Song, Baodi Liu, Weifeng Liu:
Image Super-Resolution Based on Adaptive Feature Fusion Channel Attention. ICONIP (3) 2022: 422-434 - [c51]Dongkai Liu, Jiaxing Li, Honglong Chen, Baodi Liu, Xiaoping Lu, Weifeng Liu:
EMAS: Efficient Meta Architecture Search for Few-Shot Learning. ICTAI 2022: 638-643 - [c50]Ting Pan, Xiaoming Zhao, Baodi Liu, Weifeng Liu:
Automated Drawing Psychoanalysis via House-Tree-Person Test. ICTAI 2022: 1120-1125 - [c49]Xiangshuai Pan, Qingtao Xie, Weifeng Liu, Baodi Liu:
Multi-task Facial Expression Recognition With Joint Gender Learning. SMC 2022: 210-215 - [c48]Anxun Han, Lei Xing, Weifeng Liu, Baodi Liu:
MVFF: Multi-view Feature Fusion for Few-shot Remote Sensing Image Scene Classification. SMC 2022: 2452-2458 - [c47]Qingtao Xie, Xiangshuai Pan, Weifeng Liu, Baodi Liu:
Multi-relational Semantic Distillation for Few-Shot Object Detection. SMC 2022: 2755-2761 - [c46]Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao:
Vega-MT: The JD Explore Academy Machine Translation System for WMT22. WMT 2022: 411-422 - [i23]Shuai Shao, Baodi Liu, Lei Xing, Lifei Zhao, Yanjiang Wang, Weifeng Liu, Yicong Zhou:
CSN: Component-Supervised Network for Few-Shot Classification. CoRR abs/2203.07738 (2022) - [i22]Zhichen Ni, Honglong Chen, Zhe Li, Xiaomeng Wang, Na Yan, Weifeng Liu, Feng Xia:
MSCET: A Multi-Scenario Offloading Schedule for Biomedical Data Processing and Analysis in Cloud-Edge-Terminal Collaborative Vehicular Networks. CoRR abs/2203.07999 (2022) - [i21]Renjie Xu, Xinghao Yang, Baodi Liu, Kai Zhang, Weifeng Liu:
Selecting task with optimal transport self-supervised learning for few-shot classification. CoRR abs/2204.00289 (2022) - [i20]Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu, Dacheng Tao:
Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation. CoRR abs/2204.07834 (2022) - [i19]Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu, Dacheng Tao:
On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation. CoRR abs/2209.03316 (2022) - [i18]Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao:
Vega-MT: The JD Explore Academy Translation System for WMT22. CoRR abs/2209.09444 (2022) - 2021
- [j65]Wenhui Guo, Guixun Xu, Weifeng Liu, Baodi Liu, Yanjiang Wang:
CNN-combined graph residual network with multilevel feature fusion for hyperspectral image classification. IET Comput. Vis. 15(8): 592-607 (2021) - [j64]Changtong Zan, Baodi Liu, Weili Guan, Kai Zhang, Weifeng Liu:
Learn from Object Counting: Crowd Counting with Meta-learning. IET Image Process. 15(14): 3543-3550 (2021) - [j63]Jichao Ma, Yanjiang Wang, Bao-Di Liu, Weifeng Liu:
Accurately modeling the human brain functional correlations with hypergraph Laplacian. Neurocomputing 428: 239-247 (2021) - [j62]Weifeng Liu, Sichao Fu, Yicong Zhou, Zheng-Jun Zha, Liqiang Nie:
Human activity recognition by manifold regularization based dynamic graph convolutional networks. Neurocomputing 444: 217-225 (2021) - [j61]Sichao Fu, Weifeng Liu, Kai Zhang, Yicong Zhou:
Example-feature graph convolutional networks for semi-supervised classification. Neurocomputing 461: 63-76 (2021) - [j60]Xinghao Yang, Weifeng Liu, Shengli Zhang, Wei Liu, Dacheng Tao:
Targeted Attention Attack on Deep Learning Models in Road Sign Recognition. IEEE Internet Things J. 8(6): 4980-4990 (2021) - [j59]Sichao Fu, Weifeng Liu, Kai Zhang, Yicong Zhou, Dapeng Tao:
Semi-supervised classification by graph p-Laplacian convolutional networks. Inf. Sci. 560: 92-106 (2021) - [j58]Junyu Lin, Xuemeng Song, Tian Gan, Yiyang Yao, Weifeng Liu, Liqiang Nie:
PaintNet: A shape-constrained generative framework for generating clothing from fashion model. Multim. Tools Appl. 80(11): 17183-17203 (2021) - [j57]Weifeng Liu, Jinfeng Li, Bao-Di Liu, Weili Guan, Yicong Zhou, Changsheng Xu:
Unified Cross-domain Classification via Geometric and Statistical Adaptations. Pattern Recognit. 110: 107658 (2021) - [j56]Wenzong Jiang, Lifei Zhao, Yanjiang Wang, Weifeng Liu, Bao-Di Liu:
Cross-Dimension Attention Guided Self-Supervised Remote Sensing Single-Image Super-Resolution. Remote. Sens. 13(19): 3835 (2021) - [j55]Baodi Liu, Lifei Zhao, Jiaoyue Li, Hengle Zhao, Weifeng Liu, Ye Li, Yanjiang Wang, Honglong Chen, Weijia Cao:
Saliency-Guided Remote Sensing Image Super-Resolution. Remote. Sens. 13(24): 5144 (2021) - [j54]Xiangjun Shen, Kou Lu, Sumet Mehta, Jianming Zhang, Weifeng Liu, Jianping Fan, Zhengjun Zha:
MKEL: Multiple Kernel Ensemble Learning via Unified Ensemble Loss for Image Classification. ACM Trans. Intell. Syst. Technol. 12(4): 40:1-40:21 (2021) - [j53]Xinghao Yang, Weifeng Liu, Wei Liu, Dacheng Tao:
A Survey on Canonical Correlation Analysis. IEEE Trans. Knowl. Data Eng. 33(6): 2349-2368 (2021) - [j52]Sichao Fu, Weifeng Liu, Weili Guan, Yicong Zhou, Dapeng Tao, Changsheng Xu:
Dynamic Graph Learning Convolutional Networks for Semi-supervised Classification. ACM Trans. Multim. Comput. Commun. Appl. 17(1s): 4:1-4:13 (2021) - [j51]Weili Guan, Zhaozheng Chen, Fuli Feng, Weifeng Liu, Liqiang Nie:
Urban Perception: Sensing Cities via a Deep Interactive Multi-task Learning Framework. ACM Trans. Multim. Comput. Commun. Appl. 17(1s): 13:1-13:20 (2021) - [c45]Xinghao Yang, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu:
Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search. AAAI 2021: 706-714 - [c44]Jian Pang, Weifeng Liu, Baodi Liu, Dapeng Tao, Kai Zhang, Xiaoping Lu:
Interference Distillation for Underwater Fish Recognition. ACPR (1) 2021: 62-74 - [c43]Jiaoyue Li, Weifeng Liu, Kai Zhang, Baodi Liu:
Edge Loss for Remote Sensing Image Super-Resolution. CECNet 2021: 262-267 - [c42]Xuyang Peng, Weifeng Liu, Baodi Liu, Kai Zhang, Xiaoping Lu, Yicong Zhou:
Leveraging GANs via Non-local Features. ICANN (2) 2021: 551-562 - [c41]Min Zhu, Bao-Di Liu, Weifeng Liu, Kai Zhang, Ye Li, Xiaoping Lu:
Affine Non-Negative Collaborative Representation for Deep Metric Learning. ICIP 2021: 774-778 - [c40]Xiaolong Lu, Baodi Liu, Weifeng Liu, Kai Zhang, Ye Li, Xiaoping Lu:
Linked Attention-Based Dynamic Graph Convolution Module for Point Cloud Classification. ICIP 2021: 3153-3157 - [c39]Jian Pang, Dacheng Zhang, Huafeng Li, Weifeng Liu, Zhengtao Yu:
Hazy Re-ID: An Interference Suppression Model for Domain Adaptation Person Re-Identification Under Inclement Weather Condition. ICME 2021: 1-6 - [c38]Xinghao Yang, Weifeng Liu, Dacheng Tao, Wei Liu:
BESA: BERT-based Simulated Annealing for Adversarial Text Attacks. IJCAI 2021: 3293-3299 - [c37]Min Zhu, Weifeng Liu, Kai Zhang, Ye Li, Peng Liu, Baodi Liu:
Collaborative Representation for Deep Meta Metric Learning. ICMR 2021: 506-510 - [c36]Mengxue Liu, Yujuan Qi, Yanjiang Wang, Baodi Liu, Weifeng Liu:
Adaptive Eigenmodes for Robust Object Tracking. SMC 2021: 547-551 - [c35]Fei Wang, Baodi Liu, Weifeng Liu:
From Objects to a Whole Painting. SMC 2021: 2177-2182 - [p2]Sichao Fu, Weifeng Liu:
Recent Advances of Manifold-based Graph Convolutional Networks for Remote Sensing Images Recognition. Generalization with Deep Learning 2021: 209-232 - [i17]Yibing Liu, Yangyang Guo, Jianhua Yin, Xuemeng Song, Weifeng Liu, Liqiang Nie:
Answer Questions with Right Image Regions: A Visual Attention Regularization Approach. CoRR abs/2102.01916 (2021) - [i16]Jian Pang, Dacheng Zhang, Huafeng Li, Weifeng Liu, Zhengtao Yu:
Hazy Re-ID: An Interference Suppression Model For Domain Adaptation Person Re-identification Under Inclement Weather Condition. CoRR abs/2104.11004 (2021) - [i15]Xinghao Yang, Weifeng Liu, James Bailey, Tianqing Zhu, Dacheng Tao, Wei Liu:
Semantic-Preserving Adversarial Text Attacks. CoRR abs/2108.10015 (2021) - [i14]Shuai Shao, Lei Xing, Rui Xu, Weifeng Liu, Yanjiang Wang, Bao-Di Liu:
MDFM: Multi-Decision Fusing Model for Few-Shot Learning. CoRR abs/2112.00690 (2021) - 2020
- [j50]Yanjiang Wang, Xue Chen, Bao-Di Liu, Weifeng Liu, Richard Martin Shiffrin:
Understanding the Relationship Between Human Brain Structure and Function by Predicting the Structural Connectivity From Functional Connectivity. IEEE Access 8: 209926-209938 (2020) - [j49]Linxia Xiao, Yanjiang Wang, Baodi Liu, Weifeng Liu:
Probabilistic Memory Model for Visual Images Categorization. Comput. Informatics 39(6) (2020) - [j48]Shuai Shao, Rui Xu, Weifeng Liu, Bao-Di Liu, Yanjiang Wang:
Label embedded dictionary learning for image classification. Neurocomputing 385: 122-131 (2020) - [j47]Sichao Fu, Weifeng Liu, Dapeng Tao, Yicong Zhou, Liqiang Nie:
HesGCN: Hessian graph convolutional networks for semi-supervised classification. Inf. Sci. 514: 484-498 (2020) - [j46]Jinfeng Li, Weifeng Liu, Yicong Zhou, Dapeng Tao, Liqiang Nie:
Domain Adaptation with Few Labeled Source Samples by Graph Regularization. Neural Process. Lett. 51(1): 23-39 (2020) - [j45]Yanjiang Wang, Shuai Shao, Rui Xu, Weifeng Liu, Bao-Di Liu:
Class specific or shared? A cascaded dictionary learning framework for image classification. Signal Process. 176: 107697 (2020) - [c34]Yuying Cai, Jinfeng Li, Bao-Di Liu, Weifeng Liu, Kai Zhang, Changsheng Xu:
Local structure alignment guided domain adaptation with few source samples. MMAsia 2020: 60:1-60:7 - [i13]Jinfeng Li, Weifeng Liu, Yicong Zhou, Jun Yu, Dapeng Tao:
Learning Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation with Few Labeled Source Samples. CoRR abs/2008.09359 (2020) - [i12]Xinghao Yang, Weifeng Liu, Shengli Zhang, Wei Liu, Dacheng Tao:
Targeted Attention Attack on Deep Learning Models in Road Sign Recognition. CoRR abs/2010.04331 (2020) - [i11]Shuai Shao, Rui Xu, Yanjiang Wang, Weifeng Liu, Bao-Di Liu:
SAHDL: Sparse Attention Hypergraph Regularized Dictionary Learning. CoRR abs/2010.12416 (2020)
2010 – 2019
- 2019
- [j44]Xueqi Ma, Weifeng Liu, Dapeng Tao, Yicong Zhou:
Ensemble p-Laplacian Regularization for Scene Image Recognition. Cogn. Comput. 11(6): 841-854 (2019) - [j43]Sichao Fu, Weifeng Liu, Shuying Li, Yicong Zhou:
Two-order graph convolutional networks for semi-supervised classification. IET Image Process. 13(14): 2763-2771 (2019) - [j42]C. L. Philip Chen, Xinge You, Xinbo Gao, Tongliang Liu, Fionn Murtagh, Weifeng Liu:
Advances in data representation and learning for pattern analysis. Neurocomputing 348: 1-2 (2019) - [j41]Sichao Fu, Weifeng Liu, Yicong Zhou, Liqiang Nie:
HpLapGCN: Hypergraph p-Laplacian graph convolutional networks. Neurocomputing 362: 166-174 (2019) - [j40]Guanhua Feng, Weifeng Liu, Shuying Li, Dapeng Tao, Yicong Zhou:
Hessian-Regularized Multitask Dictionary Learning for Remote Sensing Image Recognition. IEEE Geosci. Remote. Sens. Lett. 16(5): 821-825 (2019) - [j39]Xueqi Ma, Dapeng Tao, Weifeng Liu:
Effective human action recognition by combining manifold regularization and pairwise constraints. Multim. Tools Appl. 78(10): 13313-13329 (2019) - [j38]Guanhua Feng, Weifeng Liu, Dapeng Tao, Yicong Zhou:
Hessian Regularized Distance Metric Learning for People Re-Identification. Neural Process. Lett. 50(3): 2087-2100 (2019) - [j37]Weifeng Liu, Xueqi Ma, Yicong Zhou, Dapeng Tao, Jun Cheng:
$p$ -Laplacian Regularization for Scene Recognition. IEEE Trans. Cybern. 49(8): 2927-2940 (2019) - [j36]Xueqi Ma, Weifeng Liu, Shuying Li, Dapeng Tao, Yicong Zhou:
Hypergraph $p$ -Laplacian Regularization for Remotely Sensed Image Recognition. IEEE Trans. Geosci. Remote. Sens. 57(3): 1585-1595 (2019) - [c33]Yichen Pan, Yicong Zhou, Weifeng Liu, Liqiang Nie:
Principal Component Analysis on Graph-Hessian. SSCI 2019: 1494-1501 - [i10]Shuai Shao, Yanjiang Wang, Bao-Di Liu, Weifeng Liu:
Label Embedded Dictionary Learning for Image Classification. CoRR abs/1903.03087 (2019) - [i9]Weifeng Liu, Dacheng Tao:
Multiview Hessian Regularization for Image Annotation. CoRR abs/1904.10100 (2019) - 2018
- [j35]Kangjian He, Ruxin Wang, Dapeng Tao, Jun Cheng, Weifeng Liu:
Color Transfer Pulse-Coupled Neural Networks for Underwater Robotic Visual Systems. IEEE Access 6: 32850-32860 (2018) - [j34]Weifeng Liu, Xinghao Yang, Dapeng Tao, Jun Cheng, Yuanyan Tang:
Multiview dimension reduction via Hessian multiset canonical correlations. Inf. Fusion 41: 119-128 (2018) - [j33]Limiao Deng, Yanjiang Wang, Bao-Di Liu, Weifeng Liu, Yujuan Qi:
Biological modeling of human visual system for object recognition using GLoP filters and sparse coding on multi-manifolds. Mach. Vis. Appl. 29(6): 965-977 (2018) - [j32]Weifeng Liu, Lianbo Zhang, Dapeng Tao, Jun Cheng:
Reinforcement online learning for emotion prediction by using physiological signals. Pattern Recognit. Lett. 107: 123-130 (2018) - [j31]Xinmei Tian, Weifeng Liu, Fionn Murtagh:
Data mining in human activity analysis. Signal Process. 147: 247-248 (2018) - [c32]Sichao Fu, Xinghao Yang, Weifeng Liu:
The comparison of different graph convolutional neural networks for image recognition. ICIMCS 2018: 12:1-12:6 - [c31]