A deep learning approach to the classification of 3D CAD models. - Fei-wei Qin; Lu-ye Li; Shuming Gao; Xiaoling Yang; Xiang Chen 001 (J. Zhejiang Univ. Sci. C, 2014)

Network Public Comments Sentiment Analysis Based on Multilayer Convolutional Neural Network. - Ming Jiang 009; Liqiang Jin; Feiwei Qin; Min Zhang 029; Ziyang Li (iThings/GreenCom/CPSCom/SmartData, 2016)

An ontology-based semantic retrieval approach for heterogeneous 3D CAD models. - Fei-wei Qin; Shuming Gao; Xiaoling Yang; Ming Li 017; Jing Bai 004 (Adv. Eng. Informatics, 2016)

Design pattern modeling and extraction for CAD models. - Jing Bai 004; Haonan Luo; Fei-wei Qin (Adv. Eng. Softw., 2016)

A Motion-Driven System for Performing Art. - Zizhao Wu; Feiwei Qin; Shi Li 005; Yigang Wang (Edutainment, 2018)

Parallel Vector Field Regularized Non-Negative Matrix Factorization for Image Representation. - Yong Peng 001; Rixin Tang; Wanzeng Kong; Feiwei Qin; Feiping Nie 001 (ICASSP, 2018)

Joint analysis of shapes and images via deep domain adaptation. - Zizhao Wu; Yunhui Zhang; Ming Zeng 008; Feiwei Qin; Yigang Wang (Comput. Graph., 2018)

Fine-grained leukocyte classification with deep residual learning for microscopic images. - Feiwei Qin; Nannan Gao; Yong Peng 001; Zizhao Wu; Shuying Shen; Artur Grudtsin (Comput. Methods Programs Biomed., 2018)

Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification. - Yong Peng 001; Wanzeng Kong; Feiwei Qin; Feiping Nie 001 (Complex., 2018)

Corrigendum to "Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification". - Yong Peng 001; Wanzeng Kong; Feiwei Qin; Feiping Nie 001 (Complex., 2018)

Integrated Modeling, Simulation, and Visualization for Nanomaterials. - Feiwei Qin; Haibin Xia; Yong Peng 001; Zizhao Wu (Complex., 2018)

White Blood Cells Classification with Deep Convolutional Neural Networks. - Ming Jiang 009; Liu Cheng; Feiwei Qin; Lian Du; Min Zhang 029 (Int. J. Pattern Recognit. Artif. Intell., 2018)

Flexible Non-negative Matrix Factorization with Adaptively Learned Graph Regularization. - Yong Peng 001; Yanfang Long; Feiwei Qin; Wanzeng Kong; Feiping Nie 001; Andrzej Cichocki (ICASSP, 2019)

Active 3-D Shape Cosegmentation With Graph Convolutional Networks. - Zizhao Wu; Ming Zeng 008; Feiwei Qin; Yigang Wang; Jirí Kosinka (IEEE Computer Graphics and Applications, 2019)

Dual attention based fine-grained leukocyte recognition for imbalanced microscopic images. - Qinghao Ye; Daijian Tu; Feiwei Qin; Zizhao Wu; Yong Peng 001; Shuying Shen (J. Intell. Fuzzy Syst., 2019)

A joint optimization framework to semi-supervised RVFL and ELM networks for efficient data classification. - Yong Peng 001; Qingxi Li; Wanzeng Kong; Feiwei Qin; Jianhai Zhang; Andrzej Cichocki (Appl. Soft Comput., 2020)

Low rank spectral regression via matrix factorization for efficient subspace learning. - Yong Peng 001; Leijie Zhang; Wanzeng Kong; Feiwei Qin; Jianhai Zhang (J. Intell. Fuzzy Syst., 2020)

Joint low-rank representation and spectral regression for robust subspace learning. - Yong Peng 001; Leijie Zhang; Wanzeng Kong; Feiwei Qin; Jianhai Zhang (Knowl. Based Syst., 2020)

ReliefNet: Fast Bas-relief Generation from 3D Scenes. - Zhongping Ji; Wei Feng; Xianfang Sun; Feiwei Qin; Yigang Wang; Yu-Wei Zhang 014; Weiyin Ma (Comput. Aided Des., 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)

Auto-weighted concept factorization for joint feature map and data representation learning. - Yikai Zhang 005; Yong Peng 001; Hongyu Bian; Yuan Ge; Feiwei Qin; Wanzeng Kong (J. Intell. Fuzzy Syst., 2021)

Dual attention-based method for occluded person re-identification. - Yunjie Xu; Liaoying Zhao; Feiwei Qin (Knowl. Based Syst., 2021)

Fine-grained pornographic image recognition with multiple feature fusion transfer learning. - Xinnan Lin; Feiwei Qin; Yong Peng 001; Yanli Shao (Int. J. Mach. Learn. Cybern., 2021)

Recurrent neural network from adder's perspective: Carry-lookahead RNN. - Haowei Jiang; Feiwei Qin; Jin Cao; Yong Peng 001; Yanli Shao (Neural Networks, 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)

Self-Weighted Semi-Supervised Classification for Joint EEG-Based Emotion Recognition and Affective Activation Patterns Mining. - Yong Peng 001; Wanzeng Kong; Feiwei Qin; Feiping Nie 001; Jinglong Fang; Bao-Liang Lu; Andrzej Cichocki (IEEE Trans. Instrum. Meas., 2021)

3D CAD model retrieval based on sketch and unsupervised variational autoencoder. - Feiwei Qin; Shi Qiu; Shuming Gao; Jing Bai 004 (Adv. Eng. Informatics, 2022)

CEKD: Cross ensemble knowledge distillation for augmented fine-grained data. - Ke Zhang 029; Jin Fan; Shaoli Huang; Yongliang Qiao; Xiaofeng Yu; Feiwei Qin (Appl. Intell., 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)

Re-transfer learning and multi-modal learning assisted early diagnosis of Alzheimer's disease. - Meie Fang; Zhuxin Jin; Feiwei Qin; Yong Peng 001; Chao Jiang; Zhigeng Pan (Multim. Tools Appl., 2022)

GFIL: A Unified Framework for the Importance Analysis of Features, Frequency Bands, and Channels in EEG-Based Emotion Recognition. - Yong Peng 001; Feiwei Qin; Wanzeng Kong; Yuan Ge; Feiping Nie 001; Andrzej Cichocki (IEEE Trans. Cogn. Dev. Syst., 2022)

Deep Vision Network Based CT Image Detection for Aiding Lumbar Herniated Disc Diagnosis. - Wenzhe Xie; Feiwei Qin; Yanli Shao (CACML, 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, 2023)

Adaptive receptive field U-shaped temporal convolutional network for vulgar action segmentation. - Jin Cao; Ran Xu; Xinnan Lin; Feiwei Qin; Yong Peng 001; Yanli Shao (Neural Comput. Appl., 2023)

Fine-grained imbalanced leukocyte classification with global-local attention transformer. - Ben Chen; Feiwei Qin; Yanli Shao; Jin Cao; Yong Peng 001; Ruiquan Ge (J. King Saud Univ. Comput. Inf. Sci., 2023)

Graph adaptive semi-supervised discriminative subspace learning for EEG emotion recognition. - Fengzhe Jin; Yong Peng 001; Feiwei Qin; Junhua Li; Wanzeng Kong (J. King Saud Univ. Comput. Inf. Sci., 2023)

CCLNet: Causal and Contrastive Learning Framework for Enhanced Pulmonary Embolism Detection. - Zhipeng Wang; Ruiquan Ge; Jianxun Yu; Feiwei Qin; Yuan Tian; Nannan Li; Wenwen Min; Ahmed Elazab; Changmiao Wang (BIBM, 2024)

Infrared Image Super-Resolution via Lightweight Information Split Network. - Shijie Liu; Kang Yan; Feiwei Qin; Changmiao Wang; Ruiquan Ge; Kai Zhang 008; Jie Huang; Yong Peng 001; Jin Cao (ICIC (8), 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 (ISBI, 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 (ISBI, 2024)

CircMAN: Multi-channel Attention Networks Based on Feature Fusion for CircRNA-Binding Protein Site Prediction. - Huiliang Luo; Guojian Deng; Riqian Hu; Ruiquan Ge; Feiwei Qin; Changmiao Wang (ISBRA (1), 2024)

Rough Set improved Therapy-Based Metaverse Assisting System. - Jin Cao; Yanhui Jiang; Chang Yu 002; Feiwei Qin; Zekun Jiang (MetaCom, 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 (WACV, 2024)

VQ-NeRV: A Vector Quantized Neural Representation for Videos. - Yunjie Xu; Xiang Feng; Feiwei Qin; Ruiquan Ge; Yong Peng 001; Changmiao Wang (CoRR, 2024)

GFE-Mamba: Mamba-based AD Multi-modal Progression Assessment via Generative Feature Extraction from MCI. - Zhaojie Fang; Shenghao Zhu; Yifei Chen; Binfeng Zou; Fan Jia; Linwei Qiu; Chang Liu 090; Yiyu Huang; Xiang Feng; Feiwei Qin; Changmiao Wang; Yeru Wang; et al. (CoRR, 2024)

Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach. - Yifei Chen; Shenghao Zhu; Zhaojie Fang; Chang Liu 090; Binfeng Zou; Yuhe Wang; Shuo Chang; Fan Jia; Feiwei Qin; Jin Fan; Yong Peng 001; Changmiao Wang (CoRR, 2024)

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 002; Jianping Fan 001 (Neurocomputing, 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 016 (IEEE Trans. Multim., 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 005; Changmiao Wang; Xianjun Fu; Yuxing Dai; Feiwei Qin; Yong Peng 001; Yu Gao (Comput. Biol. Medicine, 2024)

LKFormer: large kernel transformer for infrared image super-resolution. - Feiwei Qin; Kang Yan; Changmiao Wang; Ruiquan Ge; Yong Peng 001; Kai Zhang 008 (Multim. Tools Appl., 2024)

Deep Transfer Regression for EEG-based Driving Fatigue Detection. - Yikai Zhang 005; Yong Peng 001; Ziyue Yang; Feiwei Qin; Wanzeng Kong (ICASSP, 2025)

Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach. - Yifei Chen; Shenghao Zhu; Zhaojie Fang; Chang Liu 090; Binfeng Zou; Linwei Qiu; Yuhe Wang; Shuo Chang; Fan Jia; Feiwei Qin; Jin Fan; Yong Peng 001; et al. (ICASSP, 2025)

XLSTM-HVED: Cross-Modal Brain Tumor Segmentation and MRI Reconstruction Method Using Vision Xlstm and Heteromodal Variational Encoder-Decoder. - Shenghao Zhu; Yifei Chen; Shuo Jiang; Weihong Chen; Chang Liu 090; Yuanhan Wang; Xu Chen; Yifan Ke; Feiwei Qin; Changmiao Wang; Zhu Zhu (ISBI, 2025)

Resolution independent person re-identification network. - Li Zhang; Yunjie Xu; Liaoying Zhao; Feiwei Qin (IET Comput. Vis., 2025)

A distribution feature extracting network with dual correlation for long sequence time-series forecasting. - Jin Fan; Zehao Wang; Feiwei Qin; Huifeng Wu; Danfeng Sun; Jia Wu 001 (Neurocomputing, 2025)

InfraFFN: A Feature Fusion Network leveraging dual-path convolution and self-attention for infrared image super-resolution. - Feiwei Qin; Zhengwei Shen; Ruiquan Ge; Kai Zhang 008; Fei Lin; Yeru Wang; Juan Manuel Górriz; Ahmed Elazab; Changmiao Wang (Knowl. Based Syst., 2025)

Path-aware multi-scale learning for heterogeneous graph neural network. - Jin Fan; Jiajun Yang; Zhangyu Gu; Huifeng Wu; Danfeng Sun; Feiwei Qin; Jia Wu 001 (Neural Networks, 2025)

VGNet: Multimodal Feature Extraction and Fusion Network for 3D CAD Model Retrieval. - Feiwei Qin; Gaoyang Zhan; Meie Fang; C. L. Philip Chen; Ping Li 016 (IEEE Trans. Multim., 2025)

SCKansformer: Fine-Grained Classification of Bone Marrow Cells via Kansformer Backbone and Hierarchical Attention Mechanisms. - Yifei Chen; Zhu Zhu; Shenghao Zhu; Linwei Qiu; Binfeng Zou; Fan Jia; Yunpeng Zhu; Chenyan Zhang; Zhaojie Fang; Feiwei Qin; Jin Fan; Changmiao Wang; et al. (IEEE J. Biomed. Health Informatics, 2025)

MMLNB: Multi-Modal Learning for Neuroblastoma Subtyping Classification Assisted with Textual Description Generation. - Huangwei Chen; Yifei Chen; Zhenyu Yan; Mingyang Ding; Chenlei Li; Zhu Zhu; Feiwei Qin (CoRR, 2025)

Towards Accurate and Interpretable Neuroblastoma Diagnosis via Contrastive Multi-scale Pathological Image Analysis. - Zhu Zhu; Shuo Jiang; Jingyuan Zheng; Yawen Li; Yifei Chen; Manli Zhao; Weizhong Gu; Feiwei Qin; Jinhu Wang; Gang Yu (CoRR, 2025)

Innovative AI techniques for photorealistic 3D clothed human reconstruction from monocular images or videos: a survey. - Shuo Yang; Xiaoling Gu; Zhenzhong Kuang; Feiwei Qin; Zizhao Wu (Vis. Comput., 2025)

Towards Practical Alzheimer's Disease Diagnosis: A Lightweight and Interpretable Spiking Neural Model. - Changwei Wu; Yifei Chen; Yuxin Du; Jinying Zong; Jie Dong; Mingxuan Liu; Yong Peng 001; Jin Fan; Feiwei Qin; Changmiao Wang (CoRR, 2025)

Bridging the Gap in Missing Modalities: Leveraging Knowledge Distillation and Style Matching for Brain Tumor Segmentation. - Shenghao Zhu; Yifei Chen; Weihong Chen; Yuanhan Wang; Chang Liu 090; Shuo Jiang; Feiwei Qin; Changmiao Wang (CoRR, 2025)

CADGCL: unsupervised retrieval of CAD models via boundary representations. - Feiwei Qin; Liangzhe Zhu; Zijian Xu 009; Meie Fang; Ping Li 016 (Vis. Comput., 2025)