个人简介：
秦安勇，男，青年百人，文峰副教授，硕士生导师。长期从事机器学习、模式识别、信号处理、图像处理和遥感图像等方向的前沿研究，近期主要涉及图神经网络、超图学习、元学习、噪声标签学习、不平衡数据分类等。现主持重庆邮电大学人才项目、重庆市教委项目、重庆市科委项目、中国博士后科学基金面上资助项目、国家自然科学基金项目、重庆市教改项目、重庆市博士后科学基金特别资助等10余项项目。目前，在国际期刊以及国内外学术会议发表SCI/EI检索论文近20余篇，其中1篇论文入选ESI高被引论文（世界前1%）。
项目
重庆市科委项目：高光谱遥感图像无标注超图神经网络分类研究，项目负责人，2025.10-2028.12；
重庆市教委项目：基于超图卷积网络的小样本高光谱图像分类研究，项目负责人，2025.07-2028.06；
中国博士后科学基金特别资助：面向无标注高光谱图像的超图神经网络分类研究，项目负责人，2024.08-2025.12；
重庆市博士后科学基金特别资助：面向无标注高光谱遥感图像的分类方法研究，项目负责人，2023.01-2023.12；
重庆市高等教育教学改革研究项目：新工科背景下双向融合人工智能和专业认知的教育数字化改革及实践，项目负责人，2023.05-2026.04；
国家重点研发子课题：基于无限维统计学习的元学习基础理论，经费负责人，2022.12-2027.11；
国家自然科学基金：面向无标注高光谱遥感图像的分类方法研究，项目负责人，2023.01-2025.12；
中国博士后科学基金面上资助项目：高光谱遥感图像小样本超图神经网络研究，项目负责人，2022.04-2024.03；
重庆市科委项目：面向高光谱图像分类的弱监督超图神经网络研究，项目负责人，2021.10-2023.12；
重庆市教委项目：基于超图神经网络的高光谱图像半监督分类研究，项目负责人，2021.07-2024.06；
重庆邮电大学教育教学改革项目：新生工程教育与专业认知结合的改革与实践，项目负责人，2021.06-2024.05；
重庆邮电大学人才项目：基于密度保持正则化的深度学习研究，项目负责人，2020.07-2024.06；
代表性论文
[20] Yang Feng, Xi Liu, Botong Zhou, Xuehua Guan, Anyong Qin*, Tiecheng Song, Yue Zhao, Xiaohua Wang, and Chenqiang Gao. Aerial video classification with Window Semantic Enhanced Video Transformers. Expert Systems with Applications (2025): 127883. (SCI 1区)
[19] Li Ailin, Anyong Qin, and Ying Huang. Enhanced facial image essence transfer via semantic guidance. Engineering Applications of Artificial Intelligence 158 (2025): 111314. (SCI 1区)
[18] Anyong Qin, Chaoqi Yuan, Qiang Li, Feng Yang, Tiecheng Song, Chenqiang Gao. Dual-Branch Residual Network for Cross-Domain Few-Shot Hyperspectral Image Classification with Refined Prototype. IEEE Geoscience and Remote Sensing Letters, 2025. (SCI 3区)
[17] Zhuolin Tan, Chenqiang Gao, Anyong Qin*, Ruixin Chen, Tiecheng Song, Feng Yang, and Deyu Meng. Towards Student Actions in Classroom Scenes: New Dataset and Baseline. IEEE Transactions on Multimedia, 2025. (SCI 1区)
[16] Anyong Qin, Bin Luo, Qiang Li, Cuiming Zou, Yu Zhao, Tiecheng Song, and Chenqiang Gao. Local Descriptors-based Rectification Network for Few-Shot Remote Sensing Scene Classification [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025. (SCI 2区)
[15] Qianru Liu, Tiecheng Song, Anyong Qin*, Yin Liu, Feng Yang, and Chenqiang Gao. HDSA-Net: Haze Density and Semantic Awareness Network for Hyperspectral Image Dehazing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025. (SCI 2区)
[14] Anyong Qin, Fuyang Chen, Qiang Li, Tiecheng Song, Yu Zhao, and Chenqiang Gao. "Few-Shot Remote Sensing Scene Classification via Subspace based on Multiscale Feature Learning." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024). (SCI 2区)
[13] Anyong Qin, Chaoqi Yuan, Qiang Li, Xiaoliu Luo, Feng Yang, Tiecheng Song, and Chenqiang Gao. "Few-Shot Learning with Prototype Rectification for Cross-Domain Hyperspectral Image Classification." IEEE Transactions on Geoscience and Remote Sensing (2024). (SCI 1区)
[12] Anyong Qin, Fuyang Chen, Qiang Li, Lingyun Tang, Feng Yang, Yue Zhao, and Chenqiang Gao. "Deep Updated Subspace Networks for Few-Shot Remote Sensing Scene Classification." IEEE Transactions on Geoscience and Remote Sensing (2024). (SCI 1区)
[11] Anyong Qin, Zhuolin Tan, Ran Wang, Yongqing Sun, Feng Yang, Yue Zhao and Chenqiang Gao. Distance Constraint-Based Generative Adversarial Networks for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-16, 2023. (SCI 1区)
[10] Anyong Qin, Zhuolin Tan, Xingli Tan, Yongji Wu, Cheng Jing, and Yuan Yan Tang. Distribution Preserving-based Deep Semi-NMF for Data Representation. Neurocomputing 524 (2023): 69-83. (SCI 2区)
[9] Yongqing Sun, Anyong Qin*, Yukihiro Bandoh, Chenqiang Gao, and Yusuke Hiwasaki. Active Learning for Hyperspectral Image Classification via Hypergraph Neural Network, IEEE International Conference on Image Processing (ICIP), 2022, pp. 2576-2580. (CCF C类会议)
[8] Zhuolin Tan, Anyong Qin*, Yongqing Sun, and Yuan Yan Tang. Distribution Preserving Deep Semi-Nonnegative Matrix Factorization. IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2021: 1081-1086. (CCF C类会议)
[7] Anyong Qin, Lina Xian, Yongliang Yang, Taiping Zhang, Yuan Yan Tang. Low-Rank Matrix Recovery from Noise via an MDL Framework-Based Atomic Norm[J]. Sensors, 2020, 20(21): 6111. (SCI 2区)
[6] Ailing Li, Anyong Qin, Zhaowei Shang, Yuan Yan Tang. Spectral-spatial sparse subspace clustering based on three-dimensional edge-preserving filtering for hyperspectral image[J]. International Journal of Pattern Recognition and Artificial Intelligence, 2019, 33(03): 1955003. (SCI 4区)
[5] Yiyang Ding, Anyong Qin, Zhaowei Shang, Jiye Qian. Spatial distribution preserving-based sparse subspace clustering for hyperspectral image[J]. International Journal of Wavelets, Multiresolution and Information Processing, 2019, 17(02): 1940010. (SCI 4区)
[4] Anyong Qin, Zhaowei Shang, Jinyu Tian, Yulong Wang, Taiping Zhang and Yuan Yan Tang, Spectral-Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification[J]. IEEE Geoscience and Remote Sensing Letters, 2019, 16(2): 241-245. (SCI 2区，ESI高被引论文)
[3] Anyong Qin, Zhaowei Shang, Jinyu Tian, Taiping Zhang, Yuan Yan Tang and Jiye Qian, Edge-Smoothing-Based Distribution Preserving Hyperspherical Embedding for Hyperspectral Image Classification[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(7): 2501-2512. (SCI 2区)
[2] Anyong Qin, Zhaowei Shang, Taiping Zhang and Yuan Yan Tang, Distribution Preserving Network Embedding[C]. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019: 3562-3566, Brighton, United Kingdom. (CCF B类会议)
[1] Anyong Qin, Zhaowei Shang, Jinyu Tian, Ailing Li, Yulong Wang and Yuan Yan Tang, Maximum correntropy criterion for convex and semi-nonnegative matrix factorization[C]. IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2017: 1856-1861, Banff, AB. (CCF C类会议)