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2020 – today
- 2026
[j48]Changwei Wu, Yifei Chen, Yuxin Du, Jinying Zong, Jie Dong, Mingxuan Liu
, Feiwei Qin, Yong Peng, Jin Fan, Chaomiao Wang:
Towards practical Alzheimer's Disease diagnosis: A lightweight and interpretable spiking neural model. Biomed. Signal Process. Control. 117: 109595 (2026)- [j47]Zenghui Su, Jing Bai, Xiangyu Ma, Feiwei Qin:
UVConv: A UV grid-based convolutional neural network for classification and segmentation of 3D CAD models. Comput. Aided Geom. Des. 125: 102516 (2026) - [j46]Yanbo Li, Zihan Mao, Feiwei Qin, Yong Peng, Guodao Zhang, Xugang Xi, Xiaoqin Ma, Huanhuan Yu, Yu Zhou, Zhu Zhu:
A Local-Global Fusion Vision Mamba UNet Framework for medical image segmentation. Eng. Appl. Artif. Intell. 169: 113987 (2026) - [j45]Weihao Cheng, Zekai Yu, Feiwei Qin:
Advancing Medical Safety in AI Systems: Reflections on Reverse Prompting for Subtle Misinformation Detection. J. Medical Syst. 50(1): 21 (2026) - 2025
- [j44]Shijie Liu, Chenqi Luo, Kang Yan, Feiwei Qin, Ruiquan Ge, Yong Peng, Jie Huang, Nenggan Zheng, Yongquan Zhang, Changmiao Wang:
LA-YOLO: Location Refinement and Adjacent Feature Fusion-Based Infrared Small Target Detection. CAAI Trans. Intell. Technol. 10(6): 1893-1903 (2025) - [j43]Li Zhang, Yunjie Xu, Liaoying Zhao, Feiwei Qin:
Resolution independent person re-identification network. IET Comput. Vis. 19(1) (2025) - [j42]Jin Fan, Zehao Wang, Feiwei Qin, Huifeng Wu, Danfeng Sun, Jia Wu:
A distribution feature extracting network with dual correlation for long sequence time-series forecasting. Neurocomputing 649: 130806 (2025) - [j41]Feiwei Qin, Zhengwei Shen, Ruiquan Ge, Kai Zhang, Fei Lin, Yeru Wang, Juan Manuel Górriz, Ahmed Elazab, Changmiao Wang:
InfraFFN: A Feature Fusion Network leveraging dual-path convolution and self-attention for infrared image super-resolution. Knowl. Based Syst. 310: 112960 (2025) - [j40]Jin Fan, Jiajun Yang, Zhangyu Gu, Huifeng Wu, Danfeng Sun, Feiwei Qin, Jia Wu:
Path-aware multi-scale learning for heterogeneous graph neural network. Neural Networks 191: 107743 (2025) - [j39]Yifei Chen, Zhu Zhu, Shenghao Zhu, Linwei Qiu, Binfeng Zou, Fan Jia, Yunpeng Zhu, Chenyan Zhang, Zhaojie Fang, Feiwei Qin, Jin Fan, Changmiao Wang, Gang Yu, Yu Gao:
SCKansformer: Fine-Grained Classification of Bone Marrow Cells via Kansformer Backbone and Hierarchical Attention Mechanisms. IEEE J. Biomed. Health Informatics 29(1): 558-571 (2025) - [j38]Feiwei Qin, Gaoyang Zhan, Meie Fang, C. L. Philip Chen, Ping Li:
VGNet: Multimodal Feature Extraction and Fusion Network for 3D CAD Model Retrieval. IEEE Trans. Multim. 27: 1432-1447 (2025) - [j37]Shuo Yang, Xiaoling Gu, Zhenzhong Kuang, Feiwei Qin, Zizhao Wu:
Innovative AI techniques for photorealistic 3D clothed human reconstruction from monocular images or videos: a survey. Vis. Comput. 41(6): 3973-4000 (2025) - [j36]Feiwei Qin, Liangzhe Zhu, Zijian Xu, Meie Fang, Ping Li:
CADGCL: unsupervised retrieval of CAD models via boundary representations. Vis. Comput. 41(9): 6493-6505 (2025) - [c18]Yikai Zhang, Yong Peng, Ziyue Yang, Feiwei Qin, Wanzeng Kong:
Deep Transfer Regression for EEG-based Driving Fatigue Detection. ICASSP 2025: 1-5 - [c17]Yifei Chen, Shenghao Zhu, Zhaojie Fang, Chang Liu, Binfeng Zou, Linwei Qiu, Yuhe Wang, Shuo Chang, Fan Jia, Feiwei Qin, Jin Fan, Yong Peng, Changmiao Wang:
Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach. ICASSP 2025: 1-5 - [c16]Shenghao Zhu, Yifei Chen, Shuo Jiang, Weihong Chen, Chang Liu, Yuanhan Wang, Xu Chen, Yifan Ke, Feiwei Qin, Changmiao Wang, Zhu Zhu:
XLSTM-HVED: Cross-Modal Brain Tumor Segmentation and MRI Reconstruction Method Using Vision Xlstm and Heteromodal Variational Encoder-Decoder. ISBI 2025: 1-5 - [c15]Shenghao Zhu, Yifei Chen, Weihong Chen, Yuanhan Wang, Chang Liu, Shuo Jiang, Feiwei Qin, Changmiao Wang:
Bridging the Gap in Missing Modalities: Leveraging Knowledge Distillation and Style Matching for Brain Tumor Segmentation. MICCAI (8) 2025: 95-106 - [c14]Hao Gou, Changmiao Wang, Jiahao Yang, Yaoqun Liu, Fucang Jia, Deqiang Xiao, Feiwei Qin, Huoling Luo:
Endo-GSMT: Endoscopic Monocular Scene Reconstruction with Dynamic Gaussian Splatting and Motion Tracking. MICCAI (9) 2025: 213-223 - [c13]Feiwei Qin, Shichao Lu, Junhao Hou, Changmiao Wang, Meie Fang, Ligang Liu:
Drawing2CAD: Sequence-to-Sequence Learning for CAD Generation from Vector Drawings. ACM Multimedia 2025: 10573-10582 - [i30]Huangwei Chen, Yifei Chen, Zhenyu Yan, Mingyang Ding, Chenlei Li, Zhu Zhu, Feiwei Qin:
MMLNB: Multi-Modal Learning for Neuroblastoma Subtyping Classification Assisted with Textual Description Generation. CoRR abs/2503.12927 (2025) - [i29]Zhu Zhu, Shuo Jiang, Jingyuan Zheng, Yawen Li, Yifei Chen, Manli Zhao, Weizhong Gu, Feiwei Qin, Jinhu Wang, Gang Yu:
Towards Accurate and Interpretable Neuroblastoma Diagnosis via Contrastive Multi-scale Pathological Image Analysis. CoRR abs/2504.13754 (2025) - [i28]Changwei Wu, Yifei Chen, Yuxin Du, Jinying Zong, Jie Dong, Mingxuan Liu, Yong Peng, Jin Fan, Feiwei Qin, Changmiao Wang:
Towards Practical Alzheimer's Disease Diagnosis: A Lightweight and Interpretable Spiking Neural Model. CoRR abs/2506.09695 (2025) - [i27]Shenghao Zhu, Yifei Chen, Weihong Chen, Yuanhan Wang, Chang Liu, Shuo Jiang, Feiwei Qin, Changmiao Wang:
Bridging the Gap in Missing Modalities: Leveraging Knowledge Distillation and Style Matching for Brain Tumor Segmentation. CoRR abs/2507.22626 (2025) - [i26]Feiwei Qin, Shichao Lu, Junhao Hou, Changmiao Wang, Meie Fang, Ligang Liu:
Drawing2CAD: Sequence-to-Sequence Learning for CAD Generation from Vector Drawings. CoRR abs/2508.18733 (2025) - [i25]Junhao Jia, Yifei Sun, Yunyou Liu, Cheng Yang, Changmiao Wang, Feiwei Qin, Yong Peng, Wenwen Min:
RTGMFF: Enhanced fMRI-based Brain Disorder Diagnosis via ROI-driven Text Generation and Multimodal Feature Fusion. CoRR abs/2509.03214 (2025) - [i24]Junhao Jia, Yunyou Liu, Cheng Yang, Yifei Sun, Feiwei Qin, Changmiao Wang, Yong Peng:
Brain-HGCN: A Hyperbolic Graph Convolutional Network for Brain Functional Network Analysis. CoRR abs/2509.14965 (2025) - [i23]Shenghao Zhu, Yifei Chen, Weihong Chen, Shuo Jiang, Guanyu Zhou, Yuanhan Wang, Feiwei Qin, Changmiao Wang, Qiyuan Tian:
No Modality Left Behind: Adapting to Missing Modalities via Knowledge Distillation for Brain Tumor Segmentation. CoRR abs/2509.15017 (2025) - [i22]Junhao Jia, Yunyou Liu, Yifei Sun, Huangwei Chen, Feiwei Qin, Changmiao Wang, Yong Peng:
Geodesic Prototype Matching via Diffusion Maps for Interpretable Fine-Grained Recognition. CoRR abs/2509.17050 (2025) - [i21]Yuanhan Wang, Yifei Chen, Shuo Jiang, Wenjing Yu, Mingxuan Liu, Beining Wu, Jinying Zong, Feiwei Qin, Changmiao Wang, Qiyuan Tian:
SmaRT: Style-Modulated Robust Test-Time Adaptation for Cross-Domain Brain Tumor Segmentation in MRI. CoRR abs/2509.17925 (2025) - [i20]Cheng Yang, Jiaxuan Lu, Haiyuan Wan, Junchi Yu, Feiwei Qin:
From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning. CoRR abs/2509.23768 (2025) - [i19]Shuo Jiang, Zhuwen Chen, Liaoman Xu, Yanming Zhu, Changmiao Wang, Jiong Zhang, Feiwei Qin, Yifei Chen, Zhu Zhu:
Multimodal Feature Prototype Learning for Interpretable and Discriminative Cancer Survival Prediction. CoRR abs/2510.06113 (2025) - [i18]Junjie Yang, Yuhao Yan, Gang Wu, Yuxuan Wang, Ruoyu Liang, Xinjie Jiang, Xiang Wan, Fenglei Fan, Yongquan Zhang, Feiwei Qin, Changmiao Wang:
MedGEN-Bench: Contextually entangled benchmark for open-ended multimodal medical generation. CoRR abs/2511.13135 (2025) - [i17]Wenjing Yu, Shuo Jiang, Yifei Chen, Shuo Chang, Yuanhan Wang, Beining Wu, Jie Dong, Mingxuan Liu, Shenghao Zhu, Feiwei Qin, Changmiao Wang, Qiyuan Tian:
A Large Scale Benchmark for Test Time Adaptation Methods in Medical Image Segmentation. CoRR abs/2512.02497 (2025) - [i16]Changwei Wu, Yifei Chen, Yuxin Du, Mingxuan Liu, Jinying Zong, Beining Wu, Jie Dong, Feiwei Qin, Yunkang Cao, Qiyuan Tian:
AnyAD: Unified Any-Modality Anomaly Detection in Incomplete Multi-Sequence MRI. CoRR abs/2512.21264 (2025) - 2024
- [j35]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: 107917 (2024) - [j34]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: 127714 (2024) - [j33]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): 72063-72077 (2024) - [j32]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: 944-957 (2024) - [c12]Zhipeng Wang, Ruiquan Ge, Jianxun Yu, Feiwei Qin, Yuan Tian, Nannan Li, Wenwen Min, Ahmed Elazab, Changmiao Wang:
CCLNet: Causal and Contrastive Learning Framework for Enhanced Pulmonary Embolism Detection. BIBM 2024: 2591-2596 - [c11]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: 293-304 - [c10]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. ISBI 2024: 1-5 - [c9]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. ISBI 2024: 1-5 - [c8]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: 169-181 - [c7]Jin Cao, Yanhui Jiang, Chang Yu, Feiwei Qin, Zekun Jiang:
Rough Set improved Therapy-Based Metaverse Assisting System. MetaCom 2024: 358-364 - [c6]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: 7744-7752 - [i15]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 abs/2401.00926 (2024) - [i14]Feiwei Qin, Kang Yan, Changmiao Wang, Ruiquan Ge, Yong Peng, Kai Zhang:
LKFormer: Large Kernel Transformer for Infrared Image Super-Resolution. CoRR abs/2401.11859 (2024) - [i13]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 abs/2402.11273 (2024) - [i12]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 abs/2402.17187 (2024) - [i11]Yunjie Xu, Xiang Feng, Feiwei Qin, Ruiquan Ge, Yong Peng, Changmiao Wang:
VQ-NeRV: A Vector Quantized Neural Representation for Videos. CoRR abs/2403.12401 (2024) - [i10]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 abs/2405.10561 (2024) - [i9]Jin Cao, Yanhui Jiang, Chang Yu, Feiwei Qin, Zekun Jiang:
Rough Set improved Therapy-Based Metaverse Assisting System. CoRR abs/2406.04465 (2024) - [i8]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 abs/2406.09931 (2024) - [i7]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 abs/2407.15719 (2024) - [i6]Yifei Chen, Shenghao Zhu, Zhaojie Fang, Chang Liu, Binfeng Zou, Yuhe Wang, Shuo Chang, Fan Jia, Feiwei Qin, Jin Fan, Yong Peng, Changmiao Wang:
Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach. CoRR abs/2408.16343 (2024) - [i5]Shenghao Zhu, Yifei Chen, Shuo Jiang, Weihong Chen, Chang Liu, Yuanhan Wang, Xu Chen, Yifan Ke, Feiwei Qin, Zhu Zhu, Changmiao Wang:
XLSTM-HVED: Cross-Modal Brain Tumor Segmentation and MRI Reconstruction Method Using Vision XLSTM and Heteromodal Variational Encoder-Decoder. CoRR abs/2412.07804 (2024) - 2023
- [j31]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: 102008 (2023) - [j30]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): 101648 (2023) - [j29]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): 101661 (2023) - [j28]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): 9593-9606 (2023) - [c5]Wenzhe Xie, Feiwei Qin, Yanli Shao:
Deep Vision Network Based CT Image Detection for Aiding Lumbar Herniated Disc Diagnosis. CACML 2023: 480-487 - [i4]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 abs/2312.12122 (2023) - [i3]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. CoRR abs/2312.14705 (2023) - 2022
- [j27]Feiwei Qin, Shi Qiu, Shuming Gao, Jing Bai:
3D CAD model retrieval based on sketch and unsupervised variational autoencoder. Adv. Eng. Informatics 51: 101427 (2022) - [j26]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): 16640-16650 (2022) - [j25]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): 823-837 (2022) - [j24]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): 29159-29175 (2022) - [j23]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): 935-947 (2022) - [i2]Ke Zhang, Jin Fan, Shaoli Huang, Yongliang Qiao, Xiaofeng Yu, Feiwei Qin:
CEKD: Cross Ensemble Knowledge Distillation for Augmented Fine-grained Data. CoRR abs/2203.06551 (2022) - 2021
- [j22]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: 102928 (2021) - [j21]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: 107510 (2021) - [j20]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): 69-81 (2021) - [j19]Yunjie Xu, Liaoying Zhao, Feiwei Qin:
Dual attention-based method for occluded person re-identification. Knowl. Based Syst. 212: 106554 (2021) - [j18]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): 73-86 (2021) - [j17]Haowei Jiang, Feiwei Qin, Jin Cao, Yong Peng, Yanli Shao:
Recurrent neural network from adder's perspective: Carry-lookahead RNN. Neural Networks 144: 297-306 (2021) - [j16]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): 1702-1711 (2021) - [j15]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: 1-11 (2021) - [i1]Haowei Jiang, Feiwei Qin, Jin Cao, Yong Peng, Yanli Shao:
Recurrent Neural Network from Adder's Perspective: Carry-lookahead RNN. CoRR abs/2106.12901 (2021) - 2020
- [j14]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): 106756 (2020) - [j13]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): 3401-3412 (2020) - [j12]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: 105723 (2020)
2010 – 2019
- 2019
- [j11]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): 77-88 (2019) - [j10]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): 6971-6982 (2019) - [c4]Yong Peng, Yanfang Long, Feiwei Qin, Wanzeng Kong, Feiping Nie, Andrzej Cichocki:
Flexible Non-negative Matrix Factorization with Adaptively Learned Graph Regularization. ICASSP 2019: 3107-3111 - 2018
- [j9]Zizhao Wu, Yunhui Zhang, Ming Zeng, Feiwei Qin, Yigang Wang:
Joint analysis of shapes and images via deep domain adaptation. Comput. Graph. 70: 140-147 (2018) - [j8]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: 243-252 (2018) - [j7]Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie:
Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification. Complex. 2018: 2857594:1-2857594:11 (2018) - [j6]Feiwei Qin, Haibin Xia, Yong Peng, Zizhao Wu:
Integrated Modeling, Simulation, and Visualization for Nanomaterials. Complex. 2018: 5083247:1-5083247:16 (2018) - [j5]Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie:
Corrigendum to "Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification". Complex. 2018: 6975152:1 (2018) - [j4]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): 1857006:1-1857006:19 (2018) - [c3]Zizhao Wu, Feiwei Qin, Shi Li, Yigang Wang:
A Motion-Driven System for Performing Art. Edutainment 2018: 245-248 - [c2]Yong Peng, Rixin Tang, Wanzeng Kong, Feiwei Qin, Feiping Nie:
Parallel Vector Field Regularized Non-Negative Matrix Factorization for Image Representation. ICASSP 2018: 2216-2220 - 2016
- [j3]Fei-wei Qin, Shuming Gao, Xiaoling Yang, Ming Li, Jing Bai:
An ontology-based semantic retrieval approach for heterogeneous 3D CAD models. Adv. Eng. Informatics 30(4): 751-768 (2016) - [j2]Jing Bai, Haonan Luo, Fei-wei Qin:
Design pattern modeling and extraction for CAD models. Adv. Eng. Softw. 93: 30-43 (2016) - [c1]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: 777-781 - 2014
- [j1]Fei-wei Qin, Lu-ye Li, Shuming Gao, Xiaoling Yang, Xiang Chen:
A deep learning approach to the classification of 3D CAD models. J. Zhejiang Univ. Sci. C 15(2): 91-106 (2014)
Coauthor Index
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