秦飞巍

计算机科学与技术

 

人工智能、机器学习、图形图像处理和计算机辅助设计

 

秦飞巍,博士,教授,硕士生导师,中国计算机学会会员,2014年毕业于浙江大学计算机学院CAD&CG国家重点实验室。主要研究方向为人工智能、机器学习、图形图像处理、计算机辅助设计等。

 

已在相关领域发表SCI/EI检索论文60多篇,其中Top期刊12篇,国际会议最佳论文2篇。申请发明专利18项。担任i3CDE国际会议程序委员会委员,International Journal of Computer Vision / IEEE Transactions on Automation Science and Engineering / IEEE Transactions on Industrial Informatics/ Advanced Engineering Informatics / Knowledge-Based Systems / Neural Networks / IEEE Transactions on Medical Imaging / IEEE Journal of Biomedical and Health Informatics 等国际期刊审稿人。

 

现主持国家自然科学基金面上项目1项,国防科技创新特区项目1项,浙江省自然科学基金探索项目1项。已经主持完成国家自然科学基金青年项目1项,浙江省自然科学基金青年项目1项,CAD&CG国家重点实验室开放课题1项,浙江省认知医疗工程技术研究中心开放课题1项,浙江省教育科学规划课题1项。作为主要成员参与国家自然科学基金项目5项,浙江省重点研发计划项目3项,浙江省公益技术应用研究项目1项。

 

认真教学,近五年教学业绩考核连续为A级,指导学生国家级大学生创新创业训练计划项目立项11项,浙江省新苗人才计划项目立项6项。指导生获互联网+”全国二等奖1项;挑战杯全国二等奖2项,省二等奖3项,省三等奖2项;中国大学生计算机设计大赛全国一等奖2项,全国二等奖1项,全国三等奖1项,省一等奖3项,省二等奖2项,省三等奖1项;服务外包大赛全国三等奖1项,东部区域赛二等奖1项,省三等奖1项;杭州市大学生科技创新大赛三等奖1项;浙江省互联网+医疗健康创新应用优秀案例奖1项;各类竞赛校级奖多项。

 

获评中国大学生计算机设计大赛一星优秀指导教师,省高校创业导师培育工程优秀学员,本科毕设优秀指导教师,挑战杯优秀指导教师,认识实习优秀指导教师。

 

 

联系方式:qinfeiwei@hdu.edu.cn

 

 

发表论文

[1] Jinyu Wen, Feiwei Qin, Jiao Du, Meie Fang*, Xinhua Wei, C. L. Philip Chen, Ping Li, MsgFusion: A medical semantic guided two-branch network for multimodal brain image fusion, IEEE Transactions on Multimedia, 2023.

[2] 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 Computing and Applications, 2023

[3] Feiwei Qin, Shi Qiu, Shuming Gao*, Jing Bai, 3D CAD model retrieval based on sketch and unsupervised variational autoencoder, Advanced Engineering Informatics, 2022, 51(1): 101427

[4] 白静, 姬卉*, 邵会会, 武如嵩, 秦飞巍, 基于深度集成及细节感知的细粒度三维模型分类, 计算机辅助设计与图形学学报, 2022, 34(10): 1580-1589

[5] 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, Multimedia Tools and Applications, 2022, 81: 29159-29175

[6] Ke Zhang, Jin Fan*, Shaoli Huang, Yongliang Qiao, Xiaofeng Yu, Feiwei Qin, CEKD: Cross ensemble knowledge distillation for augmented fine-grained data, Applied Intelligence, 2022, 52: 16640-16650

[7] 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 Transactions on Cognitive and Developmental Systems, 2022, 14(3): 935-947

[8] Haowei Jiang, Feiwei Qin, Jin Cao*, Yong Peng, Yanli Shao, Recurrent Neural Network from Adder's Perspective: Carry-lookahead RNN, Neural Networks, 2021, 144(12): 297-306

[9] Yunjie Xu, Liaoying Zhao, Feiwei Qin*, Dual attention-based method for occluded person re-identification, Knowledge-Based Systems, 2021, 212(1): 106554

[10] 秦飞巍*, 沈希乐, 彭勇, 邵艳利, 袁文强, 计忠平, 白静, 无人驾驶中的场景实时语义分割方法, 计算机辅助设计与图形学学报, 2021, 33(7): 1026-1037

[11] Xinnan Lin, Feiwei Qin*, Yong Peng, Yanli Shao, Fine-grained pornographic image recognition with multiple feature fusion transfer learning, International Journal of Machine Learning and Cybernetics, 2021, 12(1): 73-86

[12] Yameng An, Feiwei Qin, Baiping Chen, Rene Simon, Huifeng Wu*, OntoPLC: Semantic model of PLC programs for code exchange and software reuse, IEEE Transactions on Industrial Informatics, 2021, 17(3): 1702-1711

[13] Zhongping Ji*, Wei Feng, Xianfang Sun, Feiwei Qin, Yigang Wang, Yu-Wei Zhang, Weiyin Ma, ReliefNet: Fast bas-relief generation from 3D scenes, Computer-Aided Design, 2021, 130(1): 202928

[14] Qinghao Ye, Daijian Tu, Feiwei Qin*, Zizhao Wu, Yong Peng, Shuying Shen, Dual attention based fine-grained leukocyte recognition for imbalanced microscopic images, Journal of Intelligent & Fuzzy Systems, 2019, 37(5): 6971-6982

[15] Feiwei Qin*, Nannan Gao, Yong Peng, Zizhao Wu, Shuying Shen, Artur Grudtsin, Fine-grained leukocyte classification with deep residual learning for microscopic images, Computer Methods and Programs in Biomedicine, 2018, 162(8): 243-252

[16] Feiwei Qin, Shuming Gao*, XiaolingYang, Ming Li, Jing Bai, An ontology-based semantic retrieval approach for heterogeneous 3D CAD models, Advanced Engineering Informatics, 2016, 30(4): 751-768