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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.uni-trier.de./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 — Shaanxi University of Science and Technology, China (and 2 more)
- Weifeng Liu 0005 — Institute of Applied Physics and Computational Mathematics, Beijing, China
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Journal Articles
- 2025
[j135]Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu:
Code-switching finetuning: Bridging multilingual pretrained language models for enhanced cross-lingual performance. Eng. Appl. Artif. Intell. 139: 109532 (2025)- [j134]Zhonghai Wang, Jie Jiang, Yibing Zhan, Bohao Zhou, Yanhong Li, Chong Zhang, Baosheng Yu, Liang Ding, Hua Jin, Jun Peng, Xu Lin, Weifeng Liu:
Hypnos: A domain-specific large language model for anesthesiology. Neurocomputing 624: 129389 (2025) - [j133]Luhao Sun, Bowen Han, Wenzong Jiang, Weifeng Liu, Baodi Liu, Dapeng Tao, Zhiyong Yu, Chao Li:
Multi-scale region selection network in deep features for full-field mammogram classification. Medical Image Anal. 100: 103399 (2025) - [j132]Dongchen Han, Baodi Liu, Shuai Shao, Weifeng Liu, Yicong Zhou:
Feature aggregation and connectivity for object re-identification. Pattern Recognit. 157: 110869 (2025) - [j131]Weifeng Liu, Haoran Yu, Yingjie Wang, Baodi Liu, Dapeng Tao, Honglong Chen:
IW-ViT: Independence-Driven Weighting Vision Transformer for out-of-distribution generalization. Pattern Recognit. 161: 111308 (2025) - [j130]Haoran Zhou, Yanjiang Wang, Weifeng Liu, Dapeng Tao, Wei Ma, Baodi Liu:
MSC-GAN: A Multistream Complementary Generative Adversarial Network With Grouping Learning for Multitemporal Cloud Removal. IEEE Trans. Geosci. Remote. Sens. 63: 1-17 (2025) - 2024
- [j129]Chunyu Du, Shuai Shao, Jun Tang, Xinjing Song, Weifeng Liu, Baodi Liu, Yanjiang Wang:
Non-local Graph Convolutional Network. Circuits Syst. Signal Process. 43(4): 2095-2114 (2024) - [j128]Rui Xu, Shuai Shao, Lei Xing, Yanjiang Wang, Baodi Liu, Weifeng Liu:
Ensembling Multi-View Discriminative Semantic Feature for Few-Shot Classification. Eng. Appl. Artif. Intell. 132: 107915 (2024) - [j127]Rui Xu, Shuai Shao, Lei Xing, Yan-Jiang Wang, Baodi Liu, Weifeng Liu:
Feedback-Irrelevant Mapping: An evaluation method for decoupled few-shot classification. Eng. Appl. Artif. Intell. 133: 107999 (2024) - [j126]Yupeng Qi, Xinghao Yang, Baodi Liu, Kai Zhang, Weifeng Liu:
Adaptive Gradient-based Word Saliency for adversarial text attacks. Neurocomputing 590: 127667 (2024) - [j125]Baodi Liu, Lifei Zhao, Weifeng Liu, Ye Li:
MWLN: Multilevel Wavelet Learning Network for Continuous-Scale Remote-Sensing Image Super-Resolution. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j124]Shiyuan Zhao, Yu Bai, Shuai Shao, Weifeng Liu, Xinmin Ge, Ye Li, Baodi Liu:
SELM: Self-Motivated Ensemble Learning Model for Cross-Domain Few-Shot Classification in Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j123]Yunkai Yang, Qijia Yang, Weifeng Liu, Baodi Liu:
Design of integrated interactive system for pre-diagnosis of breast cancer pathological images based on CNN and PyQt5. Multim. Syst. 30(2): 95 (2024) - [j122]Aozhe Dou, Yang Hao, Weifeng Liu, Liangliang Li, Zhenzhong Wang, Baodi Liu:
Remote sensing image cloud removal based on multi-scale spatial information perception. Multim. Syst. 30(5): 249 (2024) - [j121]Xujian Qiao, Lei Xing, Anxun Han, Weifeng Liu, Baodi Liu:
Simplified Multi-head Mechanism for Few-Shot Remote Sensing Image Classification. Neural Process. Lett. 56(1): 2 (2024) - [j120]Baodi Liu, Yan Liu, Qianqian Shao, Weifeng Liu:
Central Attention with Multi-Graphs for Image Annotation. Neural Process. Lett. 56(2): 128 (2024) - [j119]Xinyi Chang, Chunyu Du, Xinjing Song, Weifeng Liu, Yanjiang Wang:
Target Oriented Dynamic Adaption for Cross-Domain Few-Shot Learning. Neural Process. Lett. 56(3): 156 (2024) - [j118]Jian Pang, Weifeng Liu, Bingfeng Zhang, Xinghao Yang, Baodi Liu, Dapeng Tao:
MCNet: Magnitude consistency network for domain adaptive object detection under inclement environments. Pattern Recognit. 145: 109947 (2024) - [j117]Bao-Di Liu, Shuai Shao, Chunyan Zhao, Lei Xing, Weifeng Liu, Weijia Cao, Yicong Zhou:
Few-shot image classification via hybrid representation. Pattern Recognit. 155: 110640 (2024) - [j116]Bingfeng Zhang, Xuru Gao, Siyue Yu, Weifeng Liu:
Enhanced online CAM: Single-stage weakly supervised semantic segmentation via collaborative guidance. Pattern Recognit. 156: 110787 (2024) - [j115]Wen Han, Xinghao Yang, Baodi Liu, Kai Zhang, Weifeng Liu:
Weight Saliency search with Semantic Constraint for Neural Machine Translation attacks. Pattern Recognit. Lett. 184: 7-13 (2024) - [j114]Junjian Li, Honglong Chen, Zhichen Ni, Yudong Gao, Weifeng Liu, Nan Jiang:
Image-Scaling Attack on Image Signal Processing Pipelines in Deep Neural Networks-Based Outdoor Vision Applications. IEEE Trans. Consumer Electron. 70(4): 7044-7055 (2024) - [j113]Shuai Shao, Yan Wang, Bin Liu, Weifeng Liu, Yanjiang Wang, Baodi Liu:
FADS: Fourier-Augmentation Based Data-Shunting for Few-Shot Classification. IEEE Trans. Circuits Syst. Video Technol. 34(2): 839-851 (2024) - [j112]Yu Bai, Shuai Shao, Shiyuan Zhao, Weifeng Liu, Dapeng Tao, Baodi Liu:
EME: Energy-Based Multiexpert Model for Long-Tailed Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - [j111]Honglong Chen, Yudong Gao, Anqing Zhang, Peng Sun, Nan Jiang, Weifeng Liu, Xingang Wang:
Investigating the Backdoor on DNNs Based on Recolorization and Reconstruction: From a Multi-Channel Perspective. IEEE Trans. Inf. Forensics Secur. 19: 6923-6934 (2024) - [j110]Junjian Li, Honglong Chen, Peng Sun, Zhibo Wang, Zhichen Ni, Weifeng Liu:
Call White Black: Enhanced Image-Scaling Attack in Industrial Artificial Intelligence Systems. IEEE Trans. Ind. Informatics 20(4): 6222-6233 (2024) - [j109]Bowen Han, Luhao Sun, Chao Li, Zhiyong Yu, Wenzong Jiang, Weifeng Liu, Dapeng Tao, Baodi Liu:
Deep Location Soft-Embedding-Based Network With Regional Scoring for Mammogram Classification. IEEE Trans. Medical Imaging 43(9): 3137-3148 (2024) - [j108]Xiaomeng Wang, Honglong Chen, Peng Sun, Junjian Li, Anqing Zhang, Weifeng Liu, Nan Jiang:
AdvST: Generating Unrestricted Adversarial Images via Style Transfer. IEEE Trans. Multim. 26: 4846-4858 (2024) - 2023
- [j107]Rui Xu, Shuai Shao, Lei Xing, Yujun Wei, Weifeng Liu, Baodi Liu, Yanjiang Wang:
CSN: Component supervised network for few-shot classification. Eng. Appl. Artif. Intell. 124: 106640 (2023) - [j106]Tianhao Yuan, Weifeng Liu, Fei Yan, Baodi Liu:
Decision fusion for few-shot image classification. Int. J. Multim. Inf. Retr. 12(2): 31 (2023) - [j105]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) - [j104]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) - [j103]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) - [j102]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) - [j101]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) - [j100]Mengke Wang, Yan Liu, Weifeng Liu, Baodi Liu:
Feature Fusion Based Parallel Graph Convolutional Neural Network for Image Annotation. Neural Process. Lett. 55(5): 6153-6164 (2023) - [j99]Yang Hao, Wenzong Jiang, Weifeng Liu, Weijia Cao, Baodi Liu:
Dynamic Feature Attention Network for Remote Sensing Image Dehazing. Neural Process. Lett. 55(6): 8081-8094 (2023) - [j98]Yuying Cai, Baodi Liu, Xinghao Yang, Xiaoping Lu, Dapeng Tao, Weifeng Liu:
GSA4FDA: Deep Geometric and Statistic Alignment for Fewer Labeled Domain Adaptation. Neural Process. Lett. 55(8): 11333-11351 (2023) - [j97]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) - [j96]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) - [j95]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) - [j94]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) - [j93]Renjie Xu, Xinghao Yang, Xingxing Yao, Dapeng Tao, Weijia Cao, Xiaoping Lu, Weifeng Liu:
Self-Paced Hard Task-Example Mining for Few-Shot Classification. IEEE Trans. Circuits Syst. Video Technol. 33(10): 5631-5644 (2023) - [j92]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) - [j91]Baodi Liu, Lifei Zhao, Shuai Shao, Weifeng Liu, Dapeng Tao, Weijia Cao, Yicong Zhou:
RAN: Region-Aware Network for Remote Sensing Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j90]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) - [j89]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) - [j88]Xinghao Yang, Yongshun Gong, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu:
Semantic-Preserving Adversarial Text Attacks. IEEE Trans. Sustain. Comput. 8(4): 583-595 (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) - 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) - 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) - 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) - 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) - 2017
- [j30]Xinghao Yang, Weifeng Liu, Dapeng Tao, Jun Cheng:
Canonical correlation analysis networks for two-view image recognition. Inf. Sci. 385: 338-352 (2017) - [j29]Yanjiang Wang, Bin Zhou, Weifeng Liu, Huimin Zhang:
Sparse Canonicial Correlation Analysis for Mobile Media Recognition on the Cloud. J. Mobile Multimedia 12(3&4): 265-276 (2017) - [j28]Weifeng Liu, Lianbo Zhang, Dapeng Tao, Jun Cheng:
Support vector machine active learning by Hessian regularization. J. Vis. Commun. Image Represent. 49: 47-56 (2017) - [j27]Xinghao Yang, Weifeng Liu, Dapeng Tao, Jun Cheng, Shuying Li:
Multiview Canonical Correlation Analysis Networks for Remote Sensing Image Recognition. IEEE Geosci. Remote. Sens. Lett. 14(10): 1855-1859 (2017) - [j26]Weifeng Liu, Zhenqing Zhang, Xinghua Chen, Shuying Li, Yicong Zhou:
Dictionary Learning-Based Hough Transform for Road Detection in Multispectral Image. IEEE Geosci. Remote. Sens. Lett. 14(12): 2330-2334 (2017) - [j25]Dapeng Tao, Xipeng Yang, Weifeng Liu, Shuifa Sun, Yanan Guo, Ying Yu, Jianxin Pang:
Cauchy Estimator Discriminant Learning for RGB-D Sensor-based Scene Classification. Multim. Tools Appl. 76(3): 4471-4489 (2017) - [j24]Weifeng Liu, Zhenqing Zhang, Shuying Li, Dapeng Tao:
Road Detection by Using a Generalized Hough Transform. Remote. Sens. 9(6): 590 (2017) - [j23]Weifeng Liu, Tengzhou Ma, Qiangsheng Xie, Dapeng Tao, Jun Cheng:
LMAE: A large margin Auto-Encoders for classification. Signal Process. 141: 137-143 (2017) - [j22]Yanan Guo, Dapeng Tao, Weifeng Liu, Jun Cheng:
Multiview Cauchy Estimator Feature Embedding for Depth and Inertial Sensor-Based Human Action Recognition. IEEE Trans. Syst. Man Cybern. Syst. 47(4): 617-627 (2017) - 2016
- [j21]Weifeng Liu, Hongli Liu, Dapeng Tao, Yanjiang Wang, Ke Lu:
Manifold regularized kernel logistic regression for web image annotation. Neurocomputing 172: 3-8 (2016) - [j20]Weifeng Liu, Tengzhou Ma, Dapeng Tao, Jane You:
HSAE: A Hessian regularized sparse auto-encoders. Neurocomputing 187: 59-65 (2016) - [j19]Weifeng Liu, Hongli Liu, Dapeng Tao:
Hessian regularization by patch alignment framework. Neurocomputing 204: 183-188 (2016) - [j18]Weifeng Liu, Huimin Zhang, Dapeng Tao, Yanjiang Wang, Ke Lu:
Large-scale paralleled sparse principal component analysis. Multim. Tools Appl. 75(3): 1481-1493 (2016) - [j17]Tat-Seng Chua, Xiangjian He, Weifeng Liu, Massimo Piccardi, Yonggang Wen, Dacheng Tao:
Big data meets multimedia analytics. Signal Process. 124: 1-4 (2016) - [j16]Weifeng Liu, Zheng-Jun Zha, Yanjiang Wang, Ke Lu, Dacheng Tao:
p-Laplacian Regularized Sparse Coding for Human Activity Recognition. IEEE Trans. Ind. Electron. 63(8): 5120-5129 (2016) - 2015
- [j15]Weifeng Liu, Yang Li, Dapeng Tao, Yanjiang Wang:
A general framework for co-training and its applications. Neurocomputing 167: 112-121 (2015) - [j14]Weifeng Liu, Hongli Liu, Dapeng Tao, Yanjiang Wang, Ke Lu:
Multiview Hessian regularized logistic regression for action recognition. Signal Process. 110: 101-107 (2015) - 2014
- [j13]Weifeng Liu, Dacheng Tao, Jun Cheng, Yuan Yan Tang:
Multiview Hessian discriminative sparse coding for image annotation. Comput. Vis. Image Underst. 118: 50-60 (2014) - 2013
- [j12]Weifeng Liu, Dacheng Tao:
Multiview Hessian Regularization for Image Annotation. IEEE Trans. Image Process. 22(7): 2676-2687 (2013) - [j11]Dapeng Tao, Lianwen Jin, Weifeng Liu, Xuelong Li:
Hessian Regularized Support Vector Machines for Mobile Image Annotation on the Cloud. IEEE Trans. Multim. 15(4): 833-844 (2013) - [j10]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:
Editorial A Successful Change From TNN to TNNLS and a Very Successful Year. IEEE Trans. Neural Networks Learn. Syst. 24(1): 1-7 (2013) - 2009
- [j9]Kyu-Hwa Jeong, Weifeng Liu, Seungju Han, Erion Hasanbelliu, José C. Príncipe:
The correntropy MACE filter. Pattern Recognit. 42(5): 871-885 (2009) - [j8]Puskal P. Pokharel, Weifeng Liu, José C. Príncipe:
Kernel least mean square algorithm with constrained growth. Signal Process. 89(3): 257-265 (2009) - [j7]Puskal P. Pokharel, Weifeng Liu, José C. Príncipe:
A low complexity robust detector in impulsive noise. Signal Process. 89(10): 1902-1909 (2009) - [j6]Weifeng Liu, Il Park, José C. Príncipe:
An Information Theoretic Approach of Designing Sparse Kernel Adaptive Filters. IEEE Trans. Neural Networks 20(12): 1950-1961 (2009) - [j5]Weifeng Liu, Il Park, Yiwen Wang, José C. Príncipe:
Extended kernel recursive least squares algorithm. IEEE Trans. Signal Process. 57(10): 3801-3814 (2009) - 2008
- [j4]Weifeng Liu, José C. Príncipe:
Kernel Affine Projection Algorithms. EURASIP J. Adv. Signal Process. 2008 (2008) - [j3]Weifeng Liu, Puskal P. Pokharel, José C. Príncipe:
The Kernel Least-Mean-Square Algorithm. IEEE Trans. Signal Process. 56(2): 543-554 (2008) - 2007
- [j2]Ruijiang Li, Weifeng Liu, José C. Príncipe:
A unifying criterion for instantaneous blind source separation based on correntropy. Signal Process. 87(8): 1872-1881 (2007) - [j1]Weifeng Liu, Puskal P. Pokharel, José C. Príncipe:
Correntropy: Properties and Applications in Non-Gaussian Signal Processing. IEEE Trans. Signal Process. 55(11): 5286-5298 (2007)
Conference and Workshop Papers
- 2024
- [c73]Yudong Gao, Honglong Chen, Peng Sun, Junjian Li, Anqing Zhang, Zhibo Wang, Weifeng Liu:
A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives. AAAI 2024: 1851-1859 - [c72]Jin Wang, Bingfeng Zhang, Jian Pang, Honglong Chen, Weifeng Liu:
Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation. CVPR 2024: 3941-3951 - [c71]Ao Wang, Xinghao Yang, Chen Li, Baodi Liu, Weifeng Liu:
Adaptive Immune-based Sound-Shape Code Substitution for Adversarial Chinese Text Attacks. EMNLP 2024: 4553-4565 - [c70]Tianhao Yuan, Weifeng Liu, Yingjie Wang, Baodi Liu:
Discriminative Representation-Based Classifier for Few-Shot Remote Sensing Classification. PRCV (13) 2024: 445-458 - 2023
- [c69]Yan Liu, Qianqian Shao, Rui Cheng, Weifeng Liu, Baodi Liu:
Multi-graph Laplacian Feature Mapping Incorporating Tag Information for Image Annotation. AI (1) 2023: 3-14 - [c68]Yaowu Xie, Ting Pan, Baodi Liu, Honglong Chen, Weifeng Liu:
Interpretable Drawing Psychoanalysis via House-Tree-Person Test. AI (2) 2023: 221-233 - [c67]Xiaoxing Wang, Jiaxing Li, Chao Xue, Wei Liu, Weifeng Liu, Xiaokang Yang, Junchi Yan, Dacheng Tao:
Poisson Process for Bayesian Optimization. AutoML 2023: 3/1-20 - [c66]Xinghao Yang, Weifeng Liu, Wei Liu:
Tensor Canonical Correlation Analysis Networks for Multi-view Remote Sensing Scene Recognition (Extended Abstract). ICDE 2023: 3835-3836 - [c65]Yiping Chen, Shuqi Yang, Baodi Liu, Weifeng Liu:
Attribute Space Analysis for Image Editing. ICIG (2) 2023: 103-114 - [c64]Jin Wang, Bingfeng Zhang, Weifeng Liu, Baodi Liu, Siyue Yu:
Self-Compensating Learning for Few-Shot Segmentation. ICIP 2023: 1320-1324 - [c63]Yingjie Wang, Hong Chen, Weifeng Liu, Fengxiang He, Tieliang Gong, Youcheng Fu, Dacheng Tao:
Tilted Sparse Additive Models. ICML 2023: 35579-35604 - [c62]Chen Li, Xinghao Yang, Baodi Liu, Weifeng Liu, Honglong Chen:
Annealing Genetic-based Preposition Substitution for Text Rubbish Example Generation. IJCAI 2023: 5122-5130 - [c61]Chiaming Hsu, Changtong Zan, Liang Ding, Longyue Wang, Xiaoting Wang, Weifeng Liu, Fu Lin, Wenbin Hu:
Prompt-Learning for Cross-Lingual Relation Extraction. IJCNN 2023: 1-9 - [c60]Haoran Yu, Baodi Liu, Yingjie Wang, Kai Zhang, Dapeng Tao, Weifeng Liu:
A Stable Vision Transformer for Out-of-Distribution Generalization. PRCV (8) 2023: 328-339 - [c59]Bowen Han, Luhao Sun, Chao Li, Zhiyong Yu, Wenzong Jiang, Weifeng Liu, Dapeng Tao, Baodi Liu:
Deep Positional-Representation-Based Local Information Retention Networks for Mammography Classification. SMC 2023: 3600-3607 - 2022
- [c58]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 - [c57]Hengxin Feng, Weifeng Liu, Yanjiang Wang, Baodi Liu:
Enrich Features for Few-Shot Point Cloud Classification. ICASSP 2022: 2285-2289 - [c56]Zhenlong Wang, Weifeng Liu, Yanjiang Wang, Baodi Liu:
Agcyclegan: Attention-Guided Cyclegan for Single Underwater Image Restoration. ICASSP 2022: 2779-2783 - [c55]Xiangshuai Pan, Weifeng Liu, Yanjiang Wang, Xiaoping Lu, Baodi Liu:
MSL-FER: Mirrored Self-Supervised Learning for Facial Expression Recognition. ICIP 2022: 1601-1605 - [c54]Hao Wu, Xingxing Yao, Baodi Liu, Xiaoping Lu, Weifeng Liu:
Virtual Try-on via Matching Relation with Landmark. ICONIP (3) 2022: 48-60 - [c53]Qizhang Song, Baodi Liu, Weifeng Liu:
Image Super-Resolution Based on Adaptive Feature Fusion Channel Attention. ICONIP (3) 2022: 422-434 - [c52]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 - [c51]Ting Pan, Xiaoming Zhao, Baodi Liu, Weifeng Liu:
Automated Drawing Psychoanalysis via House-Tree-Person Test. ICTAI 2022: 1120-1125 - [c50]Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, Dacheng Tao:
Where Does the Performance Improvement Come From?: - A Reproducibility Concern about Image-Text Retrieval. SIGIR 2022: 2727-2737 - [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 - 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 - 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 - 2019
- [c33]Yichen Pan, Yicong Zhou, Weifeng Liu, Liqiang Nie:
Principal Component Analysis on Graph-Hessian. SSCI 2019: 1494-1501 - 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]Bin Zhou, Yanjiang Wang, Weifeng Liu, Bao-Di Liu:
Recognition of Working Condition in Sucker-Rod Pumping Wells Based on Multi-View Kernel Learning and Hessian-Regularized Logistic Regression. ICSPCC 2018: 1-5 - 2017
- [c30]Xinghao Yang, Weifeng Liu:
Multiple Scale Canonical Correlation Analysis Networks for Two-View Object Recognition. ICONIP (1) 2017: 325-334 - [c29]Yujin Wang, Dapeng Tao, Weifeng Liu:
Diversified shared latent structure based localization for blind persons. SPAC 2017: 247-251 - 2016
- [c28]Xueqi Ma, Zhengyang Cao, Weifeng Liu:
Local Structure Preserving Using Manifold Regularization and Pairwise Constraints for Action Recognition. ICDM Workshops 2016: 480-486 - [c27]Xueqi Ma, Jiaxing Pan, Yue Wang, Weifeng Liu:
Semi-supervised Hessian Eigenmap for Human Action Recognition. IVS 2016: 133-139 - [c26]Xiaojie Feng, Yanjiang Wang, Bao-Di Liu, Weifeng Liu:
Class specific dictionary learning based kernel collaborative representation for fine-grained image classification. SMC 2016: 4737-4742 - 2015
- [c25]Huimin Zhang, Weifeng Liu, Zheng-Jun Zha:
Sparse canonical correlation analysis for recognition. ICIMCS 2015: 17:1-17:4 - [c24]Xinghao Yang, Hongli Liu, Weifeng Liu, Zheng-Jun Zha:
Sparse principle motion component for one-shot gesture recognition. ICIMCS 2015: 28:1-28:4 - [c23]Weifeng Liu, Zhen Wang, Dapeng Tao, Jun Yu:
Hessian Regularized Sparse Coding for Human Action Recognition. MMM (2) 2015: 502-511 - 2014
- [c22]Bao-Di Liu, Bin Shen, Yu-Xiong Wang, Weifeng Liu, Yanjiang Wang:
Class specific subspace learning for collaborative representation. SMC 2014: 2865-2870 - [c21]Hongli Liu, Weifeng Liu, Dapeng Tao, Yanjiang Wang:
Laplacian-Hessian regularization for semi-supervised classification. SPAC 2014: 203-207 - [c20]Yang Li, Dapeng Tao, Weifeng Liu, Yanjiang Wang:
Co-regularization for classification. SPAC 2014: 218-222 - [c19]Lianbo Zhang, Dapeng Tao, Weifeng Liu:
Laplacian regularized active learning for image segmentation. SPAC 2014: 241-246 - 2013
- [c18]Liying Jiang, Yanjiang Wang, Weifeng Liu:
Bio-inspired invariant visual feature representation based on K-SVD and SURF algorithms. ICIMCS 2013: 62-65 - [c17]Hui Li, Yanjiang Wang, Weifeng Liu, Xiaomeng Wang:
Detection of static salient objects based on visual attention and edge features. ICIMCS 2013: 252-255 - [c16]Caifeng Song, Weifeng Liu, Yanjiang Wang:
Facial expression recognition based on Hessian regularized support vector machine. ICIMCS 2013: 264-267 - [c15]Xiaomeng Wang, Yanjiang Wang, Weifeng Liu, Hui Li:
Object-of-interest extraction based on sparse coding. ICIMCS 2013: 341-344 - [c14]Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Yu-Jin Zhang, Yanjiang Wang, Weifeng Liu:
Self-Explanatory Convex Sparse Representation for Image Classification. SMC 2013: 2120-2125 - [c13]Hongli Liu, Weifeng Liu, Liping Dong, Yanjiang Wang:
Discriminant Multi-component Face Analysis. SMC 2013: 3009-3013 - 2012
- [c12]Weifeng Liu, Caifeng Song, Yanjiang Wang, Lu Jia:
Facial expression recognition based on Gabor features and sparse representation. ICARCV 2012: 1402-1406 - [c11]Caifeng Song, Weifeng Liu, Yanjiang Wang:
Laplacian support vector machines for medical diagnosis. ICCH 2012: 140-144 - [c10]Weifeng Liu, Caifeng Song, Yanjiang Wang:
Subject-Independent Facial Expression Recognition with Biologically Inspired Features. ICMLA (1) 2012: 46-50 - [c9]Yanjiang Wang, Chengna Yuan, Weifeng Liu:
Cellular Differentiation Algorithm for High Dimensional Numerical Function Optimization. ICMLA (1) 2012: 276-280 - [c8]Weifeng Liu, Caifeng Song, Yanjiang Wang:
Facial expression recognition based on discriminative dictionary learning. ICPR 2012: 1839-1842 - [c7]Ken Montanez, Weifeng Liu, Vince D. Calhoun, Catherine Huang, Kenneth E. Hild II:
The eighth annual MLSP competition: Overview. MLSP 2012: 1-4 - 2010
- [c6]Steven Van Vaerenbergh, Ignacio Santamaría, Weifeng Liu, José C. Príncipe:
Fixed-budget kernel recursive least-squares. ICASSP 2010: 1882-1885 - 2009
- [c5]Weifeng Liu, Yanjiang Wang:
A Target Detection Algorithm Based on Histogram Feature and Particle Swarm. ICNC (3) 2009: 206-209 - 2008
- [c4]Weifeng Liu, José C. Príncipe:
The wellposedness analysis of the kernel adaline. IJCNN 2008: 1062-1067 - 2007
- [c3]Weifeng Liu, Puskal P. Pokharel, José C. Príncipe:
A New Information Theoretic Measure of PDF Symmetry. ICASSP (2) 2007: 529-532 - [c2]Puskal P. Pokharel, Weifeng Liu, José C. Príncipe:
Kernel LMS. ICASSP (3) 2007: 1421-1424 - 2006
- [c1]Weifeng Liu, Puskal P. Pokharel, José C. Príncipe:
Correntropy: A Localized Similarity Measure. IJCNN 2006: 4919-4924
Parts in Books or Collections
- 2021
- [p4]Sichao Fu, Weifeng Liu:
Recent Advances of Manifold-based Graph Convolutional Networks for Remote Sensing Images Recognition. Generalization with Deep Learning 2021: 209-232 - 2015
- [p3]Badong Chen, Weifeng Liu, José C. Príncipe:
Theoretical Methods in Machine Learning. Handbook of Computational Intelligence 2015: 523-543 - 2010
- [p2]Weifeng Liu, Puskal P. Pokharel, Jian-Wu Xu, Sohan Seth:
Correntropy for Random Variables: Properties and Applications in Statistical Inference. Information Theoretic Learning 2010: 385-413 - [p1]Puskal P. Pokharel, Ignacio Santamaría, Jianwu Xu, Kyu-Hwa Jeong, Weifeng Liu:
Correntropy for Random Processes: Properties and Applications in Signal Processing. Information Theoretic Learning 2010: 415-455
Informal and Other Publications
- 2024
- [i31]Xiaoxing Wang, Jiaxing Li, Chao Xue, Wei Liu, Weifeng Liu, Xiaokang Yang, Junchi Yan, Dacheng Tao:
Poisson Process for Bayesian Optimization. CoRR abs/2402.02687 (2024) - [i30]Zhonghai Wang, Jie Jiang, Yibing Zhan, Bohao Zhou, Yanhong Li, Chong Zhang, Liang Ding, Hua Jin, Jun Peng, Xu Lin, Weifeng Liu:
Towards Training A Chinese Large Language Model for Anesthesiology. CoRR abs/2403.02742 (2024) - [i29]Changtong Zan, Liang Ding, Li Shen, Yibing Zhen, Weifeng Liu, Dacheng Tao:
Building Accurate Translation-Tailored LLMs with Language Aware Instruction Tuning. CoRR abs/2403.14399 (2024) - [i28]Hanyang Chi, Jian Pang, Bingfeng Zhang, Weifeng Liu:
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation. CoRR abs/2405.00378 (2024) - [i27]Jin Wang, Bingfeng Zhang, Jian Pang, Honglong Chen, Weifeng Liu:
Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation. CoRR abs/2405.08458 (2024) - 2023
- [i26]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) - [i25]Changtong Zan, Liang Ding, Li Shen, Yibin Lei, Yibing Zhan, Weifeng Liu, Dacheng Tao:
Unlikelihood Tuning on Negative Samples Amazingly Improves Zero-Shot Translation. CoRR abs/2309.16599 (2023) - 2022
- [i24]Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, Dacheng Tao:
Where Does the Performance Improvement Come From? - A Reproducibility Concern about Image-Text Retrieval. CoRR abs/2203.03853 (2022) - [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
- [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
- [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) - 2019
- [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
- [i8]Xueqi Ma, Weifeng Liu, Shuying Li, Yicong Zhou:
Hypergraph p-Laplacian Regularization for Remote Sensing Image Recognition. CoRR abs/1806.08104 (2018) - [i7]Xueqi Ma, Weifeng Liu, Dapeng Tao, Yicong Zhou:
Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition. CoRR abs/1806.08109 (2018) - 2014
- [i6]Weifeng Liu, Hongli Liu, Dapeng Tao, Yanjiang Wang, Ke Lu:
Multiview Hessian regularized logistic regression for action recognition. CoRR abs/1403.0829 (2014) - [i5]Hongli Liu, Weifeng Liu, Yanjiang Wang:
Multi-view Face Analysis Based on Gabor Features. CoRR abs/1403.1327 (2014) - 2013
- [i4]Weifeng Liu, Xiaomeng Wang, Yanjiang Wang:
Dictionary learning based image enhancement for rarity detection. CoRR abs/1305.0871 (2013) - [i3]Weifeng Liu, Dacheng Tao, Jun Cheng, Yuan Yan Tang:
Multiview Hessian Discriminative Sparse Coding for Image Annotation. CoRR abs/1307.3811 (2013) - [i2]Weifeng Liu, Hongli Liu, Dapeng Tao, Yanjiang Wang, Ke Lu:
Manifold regularized kernel logistic regression for web image annotation. CoRR abs/1312.6180 (2013) - [i1]Weifeng Liu, Huimin Zhang, Dapeng Tao, Yanjiang Wang, Ke Lu:
Large-Scale Paralleled Sparse Principal Component Analysis. CoRR abs/1312.6182 (2013)
Coauthor Index
Baodi Liu
aka: Bao-Di Liu
aka: Bao-Di Liu
[j133] [j132] [j131] [j130] [j129] [j128] [j127] [j126] [j125] [j124] [j123] [j122] [j121] [j120] [j118] [j117] [j115] [j113] [j112] [j109] [j107] [j106] [j105] [j104] [j103] [j102] [j101] [j100] [j99] [j98] [j97] [j95] [j94] [j92] [j91] [j90] [j87] [j86] [j85] [j84] [j83] [j82] [j81] [j80] [j79] [j78] [j77] [j76] [j75] [j74] [j73] [j72] [j71] [j70] [j65] [j64] [j63] [j57] [j56] [j55] [j50] [j49] [j48] [j45] [j33] [c71] [c70] [c69] [c68] [c65] [c64] [c62] [c60] [c59] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c49] [c48] [c47] [c44] [c43] [c42] [c41] [c40] [c37] [c36] [c35] [c34] [c31] [c26] [c22] [c14] [i23] [i21] [i14] [i11] [i10]
[j133] [j131] [j130] [j118] [j112] [j109] [j103] [j98] [j97] [j93] [j92] [j91] [j84] [j79] [j67] [j59] [j52] [j47] [j46] [j44] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [j32] [j30] [j28] [j27] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j15] [j14] [j11] [c60] [c59] [c44] [c29] [c23] [c21] [c20] [c19] [i13] [i7] [i6] [i2] [i1]
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