师资队伍



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陈秋朴 博士/百人计划B岗

主要研究方向为计算机视觉、医学影像处理、多模态融合等。在国内外学术期刊和会议上发表了多篇计算机视觉和医学相关的论文。参与多项国家重点研发计划、国家自然科学基金、安徽省重大专项、中国科学技术大学“雄鹰基金”等项目。担任PR、EAAI、T-ASL、JBHI、CMIG、ICASSP、MICCAI、ICME等顶刊顶会审稿人。

如果你对人工智能和深度学习充满热情,欢迎加入我的课题组。表现优秀者将有机会被推荐进入中国科学技术大学中院士领衔的团队攻读硕士或博士学位。

电子邮箱:

qpuchen@mail.ustc.edu.cn 或 chenqpu@163.com

教育及工作经历:

2022.9-2025.6 中国科学技术大学 模式识别与智能系统专业 博士

2025.9-至今 河南大学 人工智能学院

研究领域:

计算机视觉、医学影像处理、多模态融合等

主要荣誉:

2024年7月,CCF A国际会议ACM MM微观行动分析挑战算法挑战赛第3名

2024年7月,CCF A国际会议ACM MM微观行动分析挑战算法挑战赛第1名

2023年11月,科大讯飞叶片病害识别算法挑战赛第1名

2023年9月,CCF B国际会议MICCAI基于3D CBCT的牙齿分割任务算法挑战赛第5名

2023年9月,“华为杯”第五届中国研究生人工智能创新大赛二等奖。

论文:

[1] Qiupu Chen, Feng He, Gang Wang, Xiao Bai, Long Cheng, and Xin Ning. Dual guidance enabled fuzzy inference for enhanced fine-grained recognition. IEEE Transactions on Fuzzy Systems, 2025, 33:418-430. (SCI, 中科院1区Top, IF: 11.9,)

[2] Qiupu Chen, Lin Jiao, Fenmei Wang, Jianming Du, Haiyun Liu, Xue Wang, and Rujing Wang. Integrating foreground–background feature distillation and contrastive feature learning for ultra-fine-grained visual classification. Pattern Recognition, 2024, 150:10339. (SCI, 中科院1区Top, IF: 7.6)

[3] Qiupu Chen, Yimou Wang, Fenmei Wang, Duolin Sun, and Qiankun Li. Decoding text from electroencephalography signals: A novel Hierarchical Gated Recurrent Unit with Masked Residual Attention Mechanism. Engineering Applications of Artificial Intelligence, 2025, 139:109615. (SCI, 中科院1区Top, IF: 8)

[4] Qiupu Chen, and Guimin Huang. A novel dual attention-based BLSTM with hybrid features in speech emotion recognition. Engineering Applications of Artificial Intelligence, 2021, 102:104277. (SCI, 中科院1区Top, IF: 8)

[5] Chen, Qiupu, Guimin Huang, and Yabing Wang. The weighted cross-modal attention mechanism with sentiment prediction auxiliary task for multimodal sentiment analysis. IEEE-ACM Transactions on Audio, Speech, and Language Processing, 2022, 30:2689-2695. (SCI, 中科院1区, IF: 5.1)

[6] Qiupu Chen, Hongkui Jiang, Lin Jiao, Zhou Li, Taosheng Xu, Xue Wang, and Rujing Wang. Fourier-Enhanced Semi-supervised Proxy Learning for Ultra-Fine-Grained Novel Class Discovery. Pattern Recognition, 2025. (SCI, 中科院1区Top, IF: 7.6)

[7] Qiankun Li, Qiupu Chen (通讯作者), Huabao Chen, Feng He, Depeng Li, and Zhigang Zeng. Progressive Large-Scale Modeling via Temporal-Spatial Focus Connector for Micro-Action Recognition. In Proceedings of the 33nd ACM International Conference on Multimedia. (EI, CCF A)

[8] Yixin Wang, Lin Lin, Zongtao Hu, Hongzhi Wang, Qiupu Chen (通讯作者). Global Habitat Analysis with Multi-graph Fusion Framework of Postoperative MRI for Predicting Radiotherapy Treatment Response in Glioma Patients. IEEE Journal of Biomedical and Health Informatics, 2025, 1-14. (SCI, 中科院1区Top, IF: 6.8)

[9] Qiupu Chen, Yimou Wang, Jun Xu, and Qiankun Li. Semi-supervised 3D Tooth Segmentation Using nn-UNet with Axial Attention and Positional Correction. Semi-supervised Tooth Segmentation: First MICCAI Challenge, SemiToothSeg 2023, Held in Conjunction with MICCAI 2023, 2023, 14623:96-109. (EI, CCF B)

更多论文请查看Google学术主页:https://scholar.google.com/citations?user=4BRFRYcAAAAJ&hl=en

科研项目:

[1] 国家重点研发计划-项目,土壤信息传感器与智能监测设备创制,2021-01-01至2024-12-21,结题,参与

[2] 安徽省重大专项,农产品质量安全纸基传感器与高通量智能化检测装备,2021-01-1至2023-12-31,结题,参与

[3] 国家自然科学基金面上项目,英语短文自动分析关键问题及方法的研究,2017-01-01至2024-12-31,结题,参与

[4] 中国科学技术大学“雄鹰基金”,Smile智慧口腔——人工智能口腔影像诊断引领者,2023-11-01至2025-05-31,结题,参与





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