Fei-wei Qin

According to our database, Fei-wei Qin authored at least 44 papers between 2014 and 2024.

Collaborative distances:

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

2024

Accurate leukocyte detection based on deformable-DETR and multi-level feature fusion for aiding diagnosis of blood diseases.

Yifei Chen, Chenyan Zhang, Ben Chen, Yiyu Huang, Yifei Sun, Changmiao Wang, Xianjun Fu, Yuxing Dai, Feiwei Qin, Yong Peng, Yu Gao

Comput. Biol. Medicine, March, 2024

MsgFusion: Medical Semantic Guided Two-Branch Network for Multimodal Brain Image Fusion.

Jinyu Wen, Feiwei Qin, Jiao Du, Meie Fang, Xinhua Wei, C. L. Philip Chen, Ping Li

IEEE Trans. Multim., 2024

VQ-NeRV: A Vector Quantized Neural Representation for Videos.

Yunjie Xu, Xiang Feng, Feiwei Qin, Ruiquan Ge, Yong Peng, Changmiao Wang

CoRR, 2024

PE-MVCNet: Multi-view and Cross-modal Fusion Network for Pulmonary Embolism Prediction.

Zhaoxin Guo, Zhipeng Wang, Ruiquan Ge, Jianxun Yu, Feiwei Qin, Yuan Tian, Yuqing Peng, Yonghong Li, Changmiao Wang

CoRR, 2024

Semi-supervised Medical Image Segmentation Method Based on Cross-pseudo Labeling Leveraging Strong and Weak Data Augmentation Strategies.

Yifei Chen, Chenyan Zhang, Yifan Ke, Yiyu Huang, Xuezhou Dai, Feiwei Qin, Yongquan Zhang, Xiaodong Zhang, Changmiao Wang

CoRR, 2024

LKFormer: Large Kernel Transformer for Infrared Image Super-Resolution.

Feiwei Qin, Kang Yan, Changmiao Wang, Ruiquan Ge, Yong Peng, Kai Zhang

CoRR, 2024

SCUNet++: Swin-UNet and CNN Bottleneck Hybrid Architecture with Multi-Fusion Dense Skip Connection for Pulmonary Embolism CT Image Segmentation.

Yifei Chen, Binfeng Zou, Zhaoxin Guo, Yiyu Huang, Yifan Huang, Feiwei Qin, Qinhai Li, Changmiao Wang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Graph adaptive semi-supervised discriminative subspace learning for EEG emotion recognition.

Fengzhe Jin, Yong Peng, Feiwei Qin, Junhua Li, Wanzeng Kong

J. King Saud Univ. Comput. Inf. Sci., September, 2023

Fine-grained imbalanced leukocyte classification with global-local attention transformer.

Ben Chen, Feiwei Qin, Yanli Shao, Jin Cao, Yong Peng, Ruiquan Ge

J. King Saud Univ. Comput. Inf. Sci., September, 2023

Adaptive receptive field U-shaped temporal convolutional network for vulgar action segmentation.

Jin Cao, Ran Xu, Xinnan Lin, Feiwei Qin, Yong Peng, Yanli Shao

Neural Comput. Appl., May, 2023

FuS-GCN: Efficient B-rep based graph convolutional networks for 3D-CAD model classification and retrieval.

Junhao Hou, Chenqi Luo, Feiwei Qin, Yanli Shao, Xiaxuan Chen

Adv. Eng. Informatics, April, 2023

ZS-SRT: An Efficient Zero-Shot Super-Resolution Training Method for Neural Radiance Fields.

Xiang Feng, Yongbo He, Yubo Wang, Chengkai Wang, Zhenzhong Kuang, Jiajun Ding, Feiwei Qin, Jun Yu, Jianping Fan

CoRR, 2023

Deep Vision Network Based CT Image Detection for Aiding Lumbar Herniated Disc Diagnosis.

Wenzhe Xie, Feiwei Qin, Yanli Shao

Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning, 2023

2022

GFIL: A Unified Framework for the Importance Analysis of Features, Frequency Bands, and Channels in EEG-Based Emotion Recognition.

Yong Peng, Feiwei Qin, Wanzeng Kong, Yuan Ge, Feiping Nie, Andrzej Cichocki

IEEE Trans. Cogn. Dev. Syst., 2022

Re-transfer learning and multi-modal learning assisted early diagnosis of Alzheimer's disease.

Meie Fang, Zhuxin Jin, Feiwei Qin, Yong Peng, Chao Jiang, Zhigeng Pan

Multim. Tools Appl., 2022

Research on license plate location and recognition in complex environment.

Hao Yu, Xingqi Wang, Yanli Shao, Feiwei Qin, Bin Chen, Senlin Gong

J. Real Time Image Process., 2022

CEKD: Cross ensemble knowledge distillation for augmented fine-grained data.

Ke Zhang, Jin Fan, Shaoli Huang, Yongliang Qiao, Xiaofeng Yu, Feiwei Qin

Appl. Intell., 2022

3D CAD model retrieval based on sketch and unsupervised variational autoencoder.

Feiwei Qin, Shi Qiu, Shuming Gao, Jing Bai

Adv. Eng. Informatics, 2022

2021

Self-Weighted Semi-Supervised Classification for Joint EEG-Based Emotion Recognition and Affective Activation Patterns Mining.

Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie, Jinglong Fang, Bao-Liang Lu, Andrzej Cichocki

IEEE Trans. Instrum. Meas., 2021

OntoPLC: Semantic Model of PLC Programs for Code Exchange and Software Reuse.

Yameng An, Feiwei Qin, Baiping Chen, René Simon, Huifeng Wu

IEEE Trans. Ind. Informatics, 2021

Recurrent neural network from adder's perspective: Carry-lookahead RNN.

Haowei Jiang, Feiwei Qin, Jin Cao, Yong Peng, Yanli Shao

Neural Networks, 2021

Fine-grained pornographic image recognition with multiple feature fusion transfer learning.

Xinnan Lin, Feiwei Qin, Yong Peng, Yanli Shao

Int. J. Mach. Learn. Cybern., 2021

Dual attention-based method for occluded person re-identification.

Yunjie Xu, Liaoying Zhao, Feiwei Qin

Knowl. Based Syst., 2021

Auto-weighted concept factorization for joint feature map and data representation learning.

Yikai Zhang, Yong Peng, Hongyu Bian, Yuan Ge, Feiwei Qin, Wanzeng Kong

J. Intell. Fuzzy Syst., 2021

MD-UNET: Multi-input dilated U-shape neural network for segmentation of bladder cancer.

Ruiquan Ge, Huihuang Cai, Xin Yuan, Feiwei Qin, Yan Huang, Pu Wang, Lei Lyu

Comput. Biol. Chem., 2021

ReliefNet: Fast Bas-relief Generation from 3D Scenes.

Zhongping Ji, Wei Feng, Xianfang Sun, Feiwei Qin, Yigang Wang, Yu-Wei Zhang, Weiyin Ma

Comput. Aided Des., 2021

2020

Joint low-rank representation and spectral regression for robust subspace learning.

Yong Peng, Leijie Zhang, Wanzeng Kong, Feiwei Qin, Jianhai Zhang

Knowl. Based Syst., 2020

Low rank spectral regression via matrix factorization for efficient subspace learning.

Yong Peng, Leijie Zhang, Wanzeng Kong, Feiwei Qin, Jianhai Zhang

J. Intell. Fuzzy Syst., 2020

A joint optimization framework to semi-supervised RVFL and ELM networks for efficient data classification.

Yong Peng, Qingxi Li, Wanzeng Kong, Feiwei Qin, Jianhai Zhang, Andrzej Cichocki

Appl. Soft Comput., 2020

2019

Dual attention based fine-grained leukocyte recognition for imbalanced microscopic images.

Qinghao Ye, Daijian Tu, Feiwei Qin, Zizhao Wu, Yong Peng, Shuying Shen

J. Intell. Fuzzy Syst., 2019

Active 3-D Shape Cosegmentation With Graph Convolutional Networks.

Zizhao Wu, Ming Zeng, Feiwei Qin, Yigang Wang, Jirí Kosinka

IEEE Computer Graphics and Applications, 2019

Flexible Non-negative Matrix Factorization with Adaptively Learned Graph Regularization.

Yong Peng, Yanfang Long, Feiwei Qin, Wanzeng Kong, Feiping Nie, Andrzej Cichocki

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

White Blood Cells Classification with Deep Convolutional Neural Networks.

Ming Jiang, Liu Cheng, Feiwei Qin, Lian Du, Min Zhang

Int. J. Pattern Recognit. Artif. Intell., 2018

Integrated Modeling, Simulation, and Visualization for Nanomaterials.

Feiwei Qin, Haibin Xia, Yong Peng, Zizhao Wu

Complex., 2018

Corrigendum to "Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification".

Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie

Complex., 2018

Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification.

Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie

Complex., 2018

Fine-grained leukocyte classification with deep residual learning for microscopic images.

Feiwei Qin, Nannan Gao, Yong Peng, Zizhao Wu, Shuying Shen, Artur Grudtsin

Comput. Methods Programs Biomed., 2018

Joint analysis of shapes and images via deep domain adaptation.

Zizhao Wu, Yunhui Zhang, Ming Zeng, Feiwei Qin, Yigang Wang

Comput. Graph., 2018

Parallel Vector Field Regularized Non-Negative Matrix Factorization for Image Representation.

Yong Peng, Rixin Tang, Wanzeng Kong, Feiwei Qin, Feiping Nie

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Motion-Driven System for Performing Art.

Zizhao Wu, Feiwei Qin, Shi Li, Yigang Wang

Proceedings of the E-Learning and Games - 12th International Conference, 2018

2016

Design pattern modeling and extraction for CAD models.

Jing Bai, Haonan Luo, Fei-wei Qin

Adv. Eng. Softw., 2016

An ontology-based semantic retrieval approach for heterogeneous 3D CAD models.

Fei-wei Qin, Shuming Gao, Xiaoling Yang, Ming Li, Jing Bai

Adv. Eng. Informatics, 2016

Network Public Comments Sentiment Analysis Based on Multilayer Convolutional Neural Network.

Ming Jiang, Liqiang Jin, Feiwei Qin, Min Zhang, Ziyang Li

Proceedings of the 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2016

2014

A deep learning approach to the classification of 3D CAD models.

Fei-wei Qin, Lu-ye Li, Shuming Gao, Xiaoling Yang, Xiang Chen

J. Zhejiang Univ. Sci. C, 2014