2、2024国家自然资源部科技进步2等奖 3. 2024江苏省高等学校科学技术研究成果2等奖(自然科学奖) 4、2023中国地理信息科技进步1等奖 5、2023江苏省计算机学会青年科技奖（5A学会） 6、2023江苏省信息技术应用学会优 7、2023江苏省人工智能学会技术应用奖 8、2023江苏省信息技术应用学会科技进步1等奖 9、2023全国人工智能应用场景创新挑战赛特等奖优秀指导老师（优先推荐于中国人工智能领域最高奖-吴文俊人工智能科学技术奖） 10、2022江苏省信息技术应用学会青年科技1等奖 11、2022江苏省“333工程”“卡脖子”技术攻关人才（成果转化） 12、2022江苏省科技期刊百篇优秀论文 13、2021江苏省第六期“333高层次人才工程”第3层次 14、2021国际大数据与安全学术会议最佳论文奖 15、2018江苏省“青蓝工程”中青年学术带头人称号 16、2018江苏省“六大高峰”高层次人才 17、2018南京林业大学“杰出青年”人才培养工程 18、2018梁希林业科技3等奖 19、2013南京理工大学优秀博士学位论文 20、2010江苏省优秀硕士学位论文 21、2014华东区ACM卓越博士提名奖 22、2010全国模式识别学术会议最佳论文奖励 23、中国“互联网+”创新创业大赛国际铜奖2项 数据库原理与应用（本科生）；科研方法概论（本科生）；算法分析与设计（研究生）

职务:现任南京林业大学信息科学技术学院、人工智能学院院长, “大数据与人工智能”研究所负责人，计算机科学与技术学科主要负责人。 系科:计算机科学与技术 业巧林，男，南京林业大学教授、博士、博士生导师。现任南京林业大学信息科学技术学院、人工智能学院院长,“大数据与人工智能”研究所负责人，计算机科学与技术学科负责人 ,“全国高校黄大年式教师团队”核心成员，获批省部级人才项目4项 、校杰出青年人才工程培养对象，入选 2022和2023年度斯坦福大学全球前2%顶尖科学家榜单。 2等奖、国家自然资源部 2等奖、中国地理信息科技进步1等奖、全国人工智能应用场景创新挑战赛特等奖、江苏省高等学校科学技术研究成果2等奖(自然科学类)、江苏省计算机学会青年科技奖、江苏省人工智能学会技术应用奖、

中国林业工程建设协会高新技术成果推广专业委员会副主任委员 林业生态大数据国家创新联盟副理事长 无人机林草应用国家创新联盟副理事长 4、中国林业计算机应用分会副理事长 林草三维可视化技术应用国家创新联盟专家组副主任委员、副秘书长 6、国家林业和草原局林业遥感与 信息技术重点实验室学术委员会委员 7、物联网与人工智能应用国家科技创新联盟理事、江苏省模式识别专委会委员 8、《林业工程学报》、 《Forests》编委 IEEE TNNLS, IEEE TCSVT, IEEE TIM, IEEE TITS, IEEE TCYB, Pattern Recognition, Neurocomputing, Information Science等 1、国家标准，森林草原防火无人机巡查技术规范，第二起草单位，2024.05. 2、十四五国家重点研发子课题，典型森林类型多目标经营规划智能决策技术,主持，2022. 3、科技冬奥专项课题，森林可燃物影响因子监测与预测预报模块研发，主持, 2021. 目课题，无人机动态烟火与人员活动视频智能检测及监测监控模块开发，主持，2021. 5、国家自然科学基金面上项目，基于AIoT半球摄影的山地森林叶面积指数精准测算研究，主持，2024. 6、国家自然科学基金面上项目，面向复杂多视图图像的鲁棒判别距离度量协同学习研究，主持，2021. 7、国家自然科学基金面上项目，鲁棒判别的多视角自适应子空间学习及其在异质图像识别上的应用研究，主持，2019. 9、国家自然科学青年基金项目，面向低质量图像数据的低秩判别迁移子空间特征抽取研究，主持，2015. 10、江苏省重点研发计划现代农业课题，基于多源异构遥感影像的种植业“一张图”管理技术研究与系统开发，主持，2023. 11、国家自然科学基金面上项目，基于多源视觉信息和眼动模拟的机器人主动视觉方法研究，合作单位负责人, 2018. 12、江苏省自然科学基金项目面上项目，基于最优稀疏领域适应表征的特征抽取及在林火识别上的应用，主持，2017. 13、江苏省第六期“333工程” “卡脖子”技术攻关人才项目（成果转化）, 主持，2022. 14、南京林业大学杰出青年基金项目，支持向量机与子空间学习，主持, 2020.

Jie Yang, Zhao Zhang, Xiaobo Chen, Zhongq Liyong Fu*, and Qiaolin Ye* et al.,"Robust Multiple Flat Projections Clustering with Truncated Distance Maximization Constraints," IEEE Transactions on Cybernetics,2025, to Appear. ，Liang Xiao* Qiaolin Ye* ，Learning Cross-task Features with Mamba for Remote Sensing Image Multi-task Predictio IEEE Transactions on Geoscience and Remote Sensing ，2025，Early Access. Xiaobo Chen Yuwen Liang Qiaolin Ye* Traffic Agents Trajectory Prediction Based on Enhanced Bidirectional Recurrent Network and Adaptive Social Inter action Model, IEEE Transactions on Automation Science and Engineering, 2025, Early Access. Xiaobo Chen, Zhao Zhang, Liyong Fu, Qiaolin Ye* Learning Robust Discriminant Projections Via Double Capped Lp-Norm Distance Metrics With “Min” Constraints” ， IEEE Transactions on Neural Networks and Learning Systems , 2025, Major Revision. Kaiyuan Wang Qiaolin Ye* Composite Nonconve x Low-Rank Tensor Completion With Joint Structural Regression for Traffic Sensor Networks Data Recov IEEE Transactions on Computational Social Systems, 2024 , Early Access. 6.  Yucheng Shen, Qiaolin Ye*, et al., Synthetic Instance Segmentation from Semantic Image Segmentation Masks IEEE Transactions on Cybernetics, Under Revision. , Jie Yang, Liyong Fu, et al., “Convergence Analysis on Trace Ratio Linear Discriminant Analysis Algorithms,” IEEE Transactions on Neural Networks and Learning Systems , 2024, Early Access. , Delong Chen , Zhangqingyun Guan,  Xiaocong Zhou, Jiale Zhu, Liyong Fu, Jun Zhou, "Remoteclip: A vision language foundation model for remote sensing, IEEE Transactions on Geoscience and Remote Sensing , vol.62: 5622216, 2024. .   Xiaobo Chen, Kaiyuan Wang, Zuoyong Li, Zuoyong Li, *, “A Novel Nonconvex Low-rank Tensor Completion Approach for Traffic Sensor Data Recovery from Incomplete Measurements,” IEEE Transactions on Instrumentation & Measurement , 2023, vol.72, Article No. 2518715. 10. Lei Ma, Yuhui Zheng, Zhao Zhang, Yazhou Yao, Xijian Fan, *, Motion Stimulation for Compositional Action Recognition, IEEE Transactions on Circuits Systems and Video Technology , 2023, vol.33, no.5, pp.2061-2074. 11.  Yu Fang, Qiaolin Ye, Le Sun, Yuhui Zheng, et al., “Multi-Attention Joint Convolution Feature Representation with Lightweight Transformer for Hyperspectral Image Classification,‘’ IEEE Transactions on Geoscience and Remote Sensing , 2023, vol.61, 5513814. 12. Guangrui Zhao, , Le Sun, Zebin Wu, Chengsheng Pan, Byeungwoo Jeon, “Joint Classification of Hyperspectral and LiDAR Data Using a Hierarchical CNN and Transformer,” IEEE Transactions on Geoscience and Remote Sensing , 2023, vol.61, pp.1-16. 13.  Lei Chen, Jie Cao, Weichao Liang, Jia Wu, , “Keywords-enhanced Deep Reinforcement Learning Model for Travel Recommendation,” ACM Transactions on the Web , 2023, vol.17, no.1, pp. 5:1-5:21. 14. Zhicheng Ji, Huan Zheng, Huan Zheng, , Yang Zhao, Mingliang Xu, “Multi-Scale Interaction Network for Low-Light Stereo Image Enhancement,” IEEE Transactions on Consumer Electronics , 2023, Early Access. 15.  Xiaobo Chen, Huanjia Zhang, Feng Zhao, Yingfeng Cai, Hai Wang, , “Vehicle Trajectory Prediction Based on Intention-aware Non-autoregressive Transformer with Multi-Attention Learning for Internet of Vehicles,” IEEE Transactions on Instrumentation & Measurement , 2022, vol.71, Article No: 2513912. 16. Weihao Bo, Jie Liu, Xijian Fan, Tardi Tjahjadi, , Liyong Fu, “BASNet: Burned Area Segmentation Network for Real-time Detection of Damage Maps in Remote Sensing Images,” IEEE Transactions on Geoscience and Remote Sensing , 2022, vol.60, Article No., 5627913. 17.  He Yan, Yong Qi, , Dong-Jun Yu, “Robust Least Squares Twin Support Vector Regression with Adaptive FOA and PSO for Short-Term Traffic Flow Prediction”, IEEE Transactions on Intelligent Transportation Systems , 2022, vol.23, no.9, pp.14542-14556. 18.  Yifan Yu, Liyong Fu, Yawen Cheng, *, “Multi-view distance metric learning via independent and shared feature subspace with applications to face and forest fire recognition, and remote sensing classification,” Knowl. Based Syst. , 2022, 243: 108350. , Peng Huang, Zhao Zhang, et al., “Multi-view Learning with Robust Double-sided Twin SVM with Applications to Image Recognition,” IEEE Transactions on Cybernetics , vol.52, no.12, pp.12745-12758, 2022. 20.  Liyong Fu, Zechao Li, and *, et al., “Learning Robust Discriminant Subspace Based on Joint L2,p- and L2,s-Norm Distance Metrics,” IEEE Transactions on Neural Networks and Learning Systems , vol.33, no.1, pp.130-144, 2022. 21.  Liyong Fu, Dong Zhang, and *, “Recurrent Thrifty Attention Network for Remote Sensing Scene Recognition,” IEEE Transactions on Geoscience and Remote Sensing , vol.59, no.10, pp.8257-8268, 2021. 22. Yawen Cheng, Liyong Fu, Peng Luo, *, Fan Liu, Wei Zhu, “Multi-view generalized support vector machine via mining the inherent relationship between views with applications to face and fire smoke recognition, “ Knowledge-Based Systems , 210: 106488, 2020. 23. Yifan Yu, Liyong Fu, Yawen Cheng, *, “Multi-view distance metric learning via independent and shared feature subspace with applications to face and forest fire recognition, and remote sensing classification, “ Knowledge-Based Systems , 243: 108350, 2022. 24.  Dong Zhang, Yunlian Sun, , and Jinhui Tang, “Recursive Discriminative Subspace Learning with L1-norm Distance Constraint, “ IEEE Transactions on Cybernetics , vol.50, no.5, pp.2138-2151, 2020. 25.  Huan Zhang, Zhao Zhang, Mingbo Zhao, , et al., “Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification, “ IEEE Transactions on Neural Networks and Learning Systems , vol.31, no.11, pp.4538-4552, 2020. 26.  Linyi Zhou, Xijian Fan, Yingjie Ma, Tardi Tjahjadi, and , “Uncertainty-aware Cross-dataset Facial Expression Recognition via Regularized Conditional Alignment,“ ACM Multimedia , 2020, pp.2964-2972. , Henghao Zhao, and Liyong Fu et al., “Underlying Connections Between Algorithms for Nongreedy LDA-L1, “ IEEE Transactions on Image Processing , vol.27, no.5, pp.2557-2559, 2018. , Zechao Li, and Liyong Fu, et al., “Nonpeaked Discriminant Analysis for Data representation, “ IEEE Transactions on Neural Networks and Learning Systems , vol.30, no.12, pp.3818-3832, 2019. , Jian Yang, and Fan Liu, et al., “L1-Norm Distance Linear Discriminant Analysis Based on an Effective Iterative Algorithm, “ IEEE Transactions on Circuits Systems and Video Technology , vol.28, no.1, pp.114-129, 2018. , Henghao Zhao, and Zechao Li, et al, “L1-norm Distance Minimization Based Fast Robust Twin Support Vector k-plane clustering, “ IEEE Transactions on Neural Networks and Learning Systems , vol. 29, no.9, pp.4494-4503, 2018. and Jiajia Jing, “Comments on “Joint Global and Local Structure Discriminant Analysis”, IEEE Transactions on Information Forensics & Security , vol.11, no. 2, pp.1-3, 2016. , Jian Yang, and Tongming Yin, et al., “Can the Virtual Labels Obtained by Traditional LP Approaches Be Well Encoded in WLR?” IEEE Transactions on Neural Networks and Learning Systems , vol.27, no.7, pp.1591-1598, 2016. 授权发明专利17项、软件著作10余项。