Feiwei Qin

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 53

Top Topics

Emotion Recognition

Convolutional Network

Microscopic Images

Subspace Learning

Top Venues

J. Intell. Fuzzy Syst.

Adv. Eng. Informatics

Publications

Zhaojie Fang, Shenghao Zhu, Yifei Chen, Binfeng Zou, Fan Jia, Linwei Qiu, Chang Liu, Yiyu Huang, Xiang Feng, Feiwei Qin, Changmiao Wang, Yeru Wang, Jin Fan, Changbiao Chu, Wan-Zhen Wu, Hu Zhao
GFE-Mamba: Mamba-based AD Multi-modal Progression Assessment via Generative Feature Extraction from MCI. CoRR (2024)
Yifei Chen, Chenyan Zhang, Ben Chen, Yiyu Huang, Yifei Sun, Changmiao Wang, Xianjun Fu, Yuxing Dai, Feiwei Qin, Yong Peng, Yu Gao
Accurate Leukocyte Detection Based on Deformable-DETR and Multi-Level Feature Fusion for Aiding Diagnosis of Blood Diseases. CoRR (2024)
Shijie Liu, Kang Yan, Feiwei Qin, Changmiao Wang, Ruiquan Ge, Kai Zhang, Jie Huang, Yong Peng, Jin Cao
Infrared Image Super-Resolution via Lightweight Information Split Network. ICIC (8) (2024)
Jin Cao, Yanhui Jiang, Chang Yu, Feiwei Qin, Zekun Jiang
Rough Set improved Therapy-Based Metaverse Assisting System. CoRR (2024)
Shijie Liu, Kang Yan, Feiwei Qin, Changmiao Wang, Ruiquan Ge, Kai Zhang, Jie Huang, Yong Peng, Jin Cao
Infrared Image Super-Resolution via Lightweight Information Split Network. CoRR (2024)
Xiang Feng, Yongbo He, Yubo Wang, Chengkai Wang, Zhenzhong Kuang, Jiajun Ding, Feiwei Qin, Jun Yu, Jianping Fan
ZS-SRT: An efficient zero-shot super-resolution training method for Neural Radiance Fields. Neurocomputing 590 (2024)
Feiwei Qin, Kang Yan, Changmiao Wang, Ruiquan Ge, Yong Peng, Kai Zhang
LKFormer: large kernel transformer for infrared image super-resolution. Multim. Tools Appl. 83 (28) (2024)
Feiwei Qin, Kang Yan, Changmiao Wang, Ruiquan Ge, Yong Peng, Kai Zhang
LKFormer: Large Kernel Transformer for Infrared Image Super-Resolution. CoRR (2024)
Yifei Chen, Binfeng Zou, Zhaoxin Guo, Yiyu Huang, Yifan Huang, Feiwei Qin, Qinhai Li, Changmiao Wang
SCUNet++: Swin-UNet and CNN Bottleneck Hybrid Architecture with Multi-Fusion Dense Skip Connection for Pulmonary Embolism CT Image Segmentation. WACV (2024)
Zhaoxin Guo, Zhipeng Wang, Ruiquan Ge, Jianxun Yu, Feiwei Qin, Yuan Tian, Yuqing Peng, Yonghong Li, Changmiao Wang
PE-MVCNet: Multi-view and Cross-modal Fusion Network for Pulmonary Embolism Prediction. CoRR (2024)
Yunjie Xu, Xiang Feng, Feiwei Qin, Ruiquan Ge, Yong Peng, Changmiao Wang
VQ-NeRV: A Vector Quantized Neural Representation for Videos. CoRR (2024)
Huiliang Luo, Guojian Deng, Riqian Hu, Ruiquan Ge, Feiwei Qin, Changmiao Wang
CircMAN: Multi-channel Attention Networks Based on Feature Fusion for CircRNA-Binding Protein Site Prediction. ISBRA (1) (2024)
Yifei Chen, Chenyan Zhang, Yifan Ke, Yiyu Huang, Xuezhou Dai, Feiwei Qin, Yongquan Zhang, Xiaodong Zhang, Changmiao Wang
Semi-supervised Medical Image Segmentation Method Based on Cross-pseudo Labeling Leveraging Strong and Weak Data Augmentation Strategies. CoRR (2024)
Yifei Chen, Zhu Zhu, Shenghao Zhu, Linwei Qiu, Binfeng Zou, Fan Jia, Yunpeng Zhu, Chenyan Zhang, Zhaojie Fang, Feiwei Qin, Jin Fan, Changmiao Wang, Yu Gao, Gang Yu
SCKansformer: Fine-Grained Classification of Bone Marrow Cells via Kansformer Backbone and Hierarchical Attention Mechanisms. CoRR (2024)
Yifei Chen, Chenyan Zhang, Ben Chen, Yiyu Huang, Yifei Sun, Changmiao Wang, Xianjun Fu, Yuxing Dai, Feiwei Qin, Yong Peng, Yu Gao
Accurate leukocyte detection based on deformable-DETR and multi-level feature fusion for aiding diagnosis of blood diseases. Comput. Biol. Medicine 170 (2024)
Jinyu Wen, Feiwei Qin, Jiao Du, Meie Fang, Xinhua Wei, C. L. Philip Chen, Ping Li
MsgFusion: Medical Semantic Guided Two-Branch Network for Multimodal Brain Image Fusion. IEEE Trans. Multim. 26 (2024)
Junhao Hou, Chenqi Luo, Feiwei Qin, Yanli Shao, Xiaxuan Chen
FuS-GCN: Efficient B-rep based graph convolutional networks for 3D-CAD model classification and retrieval. Adv. Eng. Informatics 56 (2023)
Ben Chen, Feiwei Qin, Yanli Shao, Jin Cao, Yong Peng, Ruiquan Ge
Fine-grained imbalanced leukocyte classification with global-local attention transformer. J. King Saud Univ. Comput. Inf. Sci. 35 (8) (2023)
Yifei Chen, Binfeng Zou, Zhaoxin Guo, Yiyu Huang, Yifan Huang, Feiwei Qin, Qinhai Li, Changmiao Wang
SCUNet++: Assessment of Pulmonary Embolism CT Image Segmentation Leveraging Swin-UNet and CNN Bottleneck Hybrid Architecture with Multi-Fusion Dense Skip Connection. CoRR (2023)
Jin Cao, Ran Xu, Xinnan Lin, Feiwei Qin, Yong Peng, Yanli Shao
Adaptive receptive field U-shaped temporal convolutional network for vulgar action segmentation. Neural Comput. Appl. 35 (13) (2023)
Fengzhe Jin, Yong Peng, Feiwei Qin, Junhua Li, Wanzeng Kong
Graph adaptive semi-supervised discriminative subspace learning for EEG emotion recognition. J. King Saud Univ. Comput. Inf. Sci. 35 (8) (2023)
Xiang Feng, Yongbo He, Yubo Wang, Chengkai Wang, Zhenzhong Kuang, Jiajun Ding, Feiwei Qin, Jun Yu, Jianping Fan
ZS-SRT: An Efficient Zero-Shot Super-Resolution Training Method for Neural Radiance Fields. CoRR (2023)
Wenzhe Xie, Feiwei Qin, Yanli Shao
Deep Vision Network Based CT Image Detection for Aiding Lumbar Herniated Disc Diagnosis. CACML (2023)
Hao Yu, Xingqi Wang, Yanli Shao, Feiwei Qin, Bin Chen, Senlin Gong
Research on license plate location and recognition in complex environment. J. Real Time Image Process. 19 (4) (2022)
Feiwei Qin, Shi Qiu, Shuming Gao, Jing Bai
3D CAD model retrieval based on sketch and unsupervised variational autoencoder. Adv. Eng. Informatics 51 (2022)
Meie Fang, Zhuxin Jin, Feiwei Qin, Yong Peng, Chao Jiang, Zhigeng Pan
Re-transfer learning and multi-modal learning assisted early diagnosis of Alzheimer's disease. Multim. Tools Appl. 81 (20) (2022)
Yong Peng, Feiwei Qin, Wanzeng Kong, Yuan Ge, Feiping Nie, Andrzej Cichocki
GFIL: A Unified Framework for the Importance Analysis of Features, Frequency Bands, and Channels in EEG-Based Emotion Recognition. IEEE Trans. Cogn. Dev. Syst. 14 (3) (2022)
Ke Zhang, Jin Fan, Shaoli Huang, Yongliang Qiao, Xiaofeng Yu, Feiwei Qin
CEKD: Cross Ensemble Knowledge Distillation for Augmented Fine-grained Data. CoRR (2022)
Ke Zhang, Jin Fan, Shaoli Huang, Yongliang Qiao, Xiaofeng Yu, Feiwei Qin
CEKD: Cross ensemble knowledge distillation for augmented fine-grained data. Appl. Intell. 52 (14) (2022)
Haowei Jiang, Feiwei Qin, Jin Cao, Yong Peng, Yanli Shao
Recurrent Neural Network from Adder's Perspective: Carry-lookahead RNN. CoRR (2021)
Ruiquan Ge, Huihuang Cai, Xin Yuan, Feiwei Qin, Yan Huang, Pu Wang, Lei Lyu
MD-UNET: Multi-input dilated U-shape neural network for segmentation of bladder cancer. Comput. Biol. Chem. 93 (2021)
Haowei Jiang, Feiwei Qin, Jin Cao, Yong Peng, Yanli Shao
Recurrent neural network from adder's perspective: Carry-lookahead RNN. Neural Networks 144 (2021)
Zhongping Ji, Wei Feng, Xianfang Sun, Feiwei Qin, Yigang Wang, Yu-Wei Zhang, Weiyin Ma
ReliefNet: Fast Bas-relief Generation from 3D Scenes. Comput. Aided Des. 130 (2021)
Xinnan Lin, Feiwei Qin, Yong Peng, Yanli Shao
Fine-grained pornographic image recognition with multiple feature fusion transfer learning. Int. J. Mach. Learn. Cybern. 12 (1) (2021)
Yunjie Xu, Liaoying Zhao, Feiwei Qin
Dual attention-based method for occluded person re-identification. Knowl. Based Syst. 212 (2021)
Yameng An, Feiwei Qin, Baiping Chen, René Simon, Huifeng Wu
OntoPLC: Semantic Model of PLC Programs for Code Exchange and Software Reuse. IEEE Trans. Ind. Informatics 17 (3) (2021)
Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie, Jinglong Fang, Bao-Liang Lu, Andrzej Cichocki
Self-Weighted Semi-Supervised Classification for Joint EEG-Based Emotion Recognition and Affective Activation Patterns Mining. IEEE Trans. Instrum. Meas. 70 (2021)
Yikai Zhang, Yong Peng, Hongyu Bian, Yuan Ge, Feiwei Qin, Wanzeng Kong
Auto-weighted concept factorization for joint feature map and data representation learning. J. Intell. Fuzzy Syst. 41 (1) (2021)
Yong Peng, Leijie Zhang, Wanzeng Kong, Feiwei Qin, Jianhai Zhang
Joint low-rank representation and spectral regression for robust subspace learning. Knowl. Based Syst. 195 (2020)
Yong Peng, Qingxi Li, Wanzeng Kong, Feiwei Qin, Jianhai Zhang, Andrzej Cichocki
A joint optimization framework to semi-supervised RVFL and ELM networks for efficient data classification. Appl. Soft Comput. 97 (Part) (2020)
Yong Peng, Leijie Zhang, Wanzeng Kong, Feiwei Qin, Jianhai Zhang
Low rank spectral regression via matrix factorization for efficient subspace learning. J. Intell. Fuzzy Syst. 39 (3) (2020)
Yong Peng, Yanfang Long, Feiwei Qin, Wanzeng Kong, Feiping Nie, Andrzej Cichocki
Flexible Non-negative Matrix Factorization with Adaptively Learned Graph Regularization. ICASSP (2019)
Qinghao Ye, Daijian Tu, Feiwei Qin, Zizhao Wu, Yong Peng, Shuying Shen
Dual attention based fine-grained leukocyte recognition for imbalanced microscopic images. J. Intell. Fuzzy Syst. 37 (5) (2019)
Zizhao Wu, Ming Zeng, Feiwei Qin, Yigang Wang, Jirí Kosinka
Active 3-D Shape Cosegmentation With Graph Convolutional Networks. IEEE Computer Graphics and Applications 39 (2) (2019)
Feiwei Qin, Haibin Xia, Yong Peng, Zizhao Wu
Integrated Modeling, Simulation, and Visualization for Nanomaterials. Complex. 2018 (2018)
Ming Jiang, Liu Cheng, Feiwei Qin, Lian Du, Min Zhang
White Blood Cells Classification with Deep Convolutional Neural Networks. Int. J. Pattern Recognit. Artif. Intell. 32 (9) (2018)
Feiwei Qin, Nannan Gao, Yong Peng, Zizhao Wu, Shuying Shen, Artur Grudtsin
Fine-grained leukocyte classification with deep residual learning for microscopic images. Comput. Methods Programs Biomed. 162 (2018)
Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie
Corrigendum to "Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification". Complex. 2018 (2018)
Yong Peng, Rixin Tang, Wanzeng Kong, Feiwei Qin, Feiping Nie
Parallel Vector Field Regularized Non-Negative Matrix Factorization for Image Representation. ICASSP (2018)
Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie
Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification. Complex. 2018 (2018)
Zizhao Wu, Yunhui Zhang, Ming Zeng, Feiwei Qin, Yigang Wang
Joint analysis of shapes and images via deep domain adaptation. Comput. Graph. 70 (2018)
Zizhao Wu, Feiwei Qin, Shi Li, Yigang Wang
A Motion-Driven System for Performing Art. Edutainment (2018)
Ming Jiang, Liqiang Jin, Feiwei Qin, Min Zhang, Ziyang Li
Network Public Comments Sentiment Analysis Based on Multilayer Convolutional Neural Network. iThings/GreenCom/CPSCom/SmartData (2016)