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业巧林

   

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副院长, “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。入选江苏省青蓝工程中青年学术带头人、第六期“333高层次人才工程六大高峰高层次人才、333工程卡脖子技术攻关人才项目,以及校杰出青年人才工程培养对象。获中国地理信息科技进步1等奖、江苏省信息技术应用学会青年科技1等奖、梁希林业科技3等奖、江苏省科技期刊百篇优秀论文、华东区ACM卓越博士提名奖等奖项。主持国家自然科学基金、国家重点研发子课题、江苏省重点研发课题、科技冬奥专项课题等20余项。担任《林业工程》、国际期刊《Forests》等编委,以及多个协会/学会/联盟副主任委员、副理事长等职。联合研发了国内领先的森林防火无人机智能巡护监测系统和智慧崇礼综合预测预警与调度平台并应用于2022年北京冬奥森林防火。近年来,在包括IEEE TCYBIEEE TNNLSIEEE TIPIF>10.0期刊上发表论文100余篇。指导本科生获江苏省优秀毕业论文2等奖和中国互联网+”创新创业大赛国际铜奖2项。指导研究生获江苏省优秀硕士学位论文、国家奖学金、校长奖学金多人次。

 

研究方向

模式识别、机器学习、人工智能及其在林业上的应用。具体包括:

1、基于深度学习的遥感图像分类、小目标检测与识别

2、图像鲁棒特征提取

3、距离度量学习

4、多视图学习

5、人工智能+林业(空间结构参数反演、可燃物影响因子监测与预测预报、可疑人员检测、防火等)

 

主讲的课程

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)

 

学生培养

指导本科生获2017年江苏省优秀本科毕业论文2等奖、中国互联网+”创新创业大赛国际铜奖(2)、以及其它各类国家级学科竞赛奖励多项;指导研究生发表系列高水平论文、多名研究生获省优秀硕士论文、国家或校长奖学金等,培养了一批优秀硕士研究生至美国、国家级人才攻读博士学位。

 

主持的主要课题或项目

1十四五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.

2、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.

3、冬奥科技服务项目课题,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.

4、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.

5、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.

6、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.

7 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.

8、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.

9、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.

10、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.

11、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.

12、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.

 

获奖情况

12023 中国地理信息科技进步1等奖

22022江苏省信息技术应用学会青年科技1等奖

32022江苏省“333工程”“卡脖子”技术攻关人才(成果转化)

42022江苏省科技期刊百篇优秀论文

52021江苏省第六期“333高层次人才工程”第三层次

62021国际大数据与安全学术会议最佳论文奖

72018江苏省“青蓝工程”中青年学术带头人称号

82018江苏省“六大高峰”高层次人才

92018南京林业大学“杰出青年”人才培养工程

102018梁希林业科技3等奖

112013南京理工大学优秀博士学位论文

122010江苏省优秀硕士学位论文

132014华东区ACM卓越博士提名奖

142010全国模式识别学术会议最佳论文奖励

1520162021年校教学成果1等奖

16、中国互联网+”创新创业大赛国际铜奖2

 

发表的部分论文

1.   Qiaolin Ye, et al., Convergence Analysis on Trace Ratio Linear Discriminant Analysis Algorithms, IEEE Transactions on Neural Networks and Learning Systems, Minor Revision, 2023.

2.   Xiaobo Chen, Kaiyuan Wang, Zuoyong Li, Zuoyong Li, Qiaolin Ye*, “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.

3. Lei Ma, Yuhui Zheng, Zhao Zhang, Yazhou Yao, Xijian Fan, Qiaolin Ye*, Motion Stimulation for Compositional Action Recognition, IEEE Transactions on Circuits Systems and Video Technology, 2023, vol.33, no.5, pp.2061-2074.

4.  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.

5.  Guangrui Zhao, Qiaolin Ye, 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.

6.  Lei Chen, Jie Cao, Weichao Liang, Jia Wu, Qiaolin Ye, Keywords-enhanced Deep Reinforcement Learning Model for Travel Recommendation, ACM Transactions on the Web, 2023, vol.17, no.1, pp. 5:1-5:21.

7. Zhicheng Ji, Huan Zheng, Huan Zheng, Qiaolin Ye, Yang Zhao, Mingliang Xu, “Multi-Scale Interaction Network for Low-Light Stereo Image Enhancement,” IEEE Transactions on Consumer Electronics, 2025, Early Access.

8.  Xiaobo Chen, Huanjia Zhang, Feng Zhao, Yingfeng Cai, Hai Wang, Qiaolin Ye, “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.

9.  Weihao Bo, Jie Liu, Xijian Fan, Tardi Tjahjadi, Qiaolin Ye, 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.

10.  He Yan, Yong Qi, Qiaolin Ye, 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.

11.   Yifan Yu, Liyong Fu, Yawen Cheng, Qiaolin Ye*, “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.

12.   Qiaolin Ye, 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.

13.   Liyong Fu, Zechao Li, and Qiaolin Ye*, 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.

14.   Liyong Fu, Dong Zhang, and Qiaolin Ye*, “Recurrent Thrifty Attention Network for Remote Sensing Scene Recognition,” IEEE Transactions on Geoscience and Remote Sensing, vol.59, no.10, pp.8257-8268, 2021.

15.   Yawen Cheng, Liyong Fu, Peng Luo, Qiaolin Ye*, 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.

16.   Yifan Yu, Liyong Fu, Yawen Cheng, Qiaolin Ye*, “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.

17.   Dong Zhang, Yunlian Sun, Qiaolin Ye, and Jinhui Tang, “Recursive Discriminative Subspace Learning with L1-norm Distance Constraint, “IEEE Transactions on Cybernetics, vol.50, no.5, pp.2138-2151, 2020.

18.   Huan Zhang, Zhao Zhang, Mingbo Zhao, Qiaolin Ye, 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.

19.   Linyi Zhou, Xijian Fan, Yingjie Ma, Tardi Tjahjadi, and Qiaolin Ye, “Uncertainty-aware Cross-dataset Facial Expression Recognition via Regularized Conditional Alignment“ ACM Multimedia, 2020, pp.2964-2972.

20.   Qiaolin Ye, 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.

21.   Qiaolin Ye, 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.

22.   Qiaolin Ye, 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.

23.   Qiaolin Ye, 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.

24.   Qiaolin Ye 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.

25.   Qiaolin YeJian Yang, and Tongming Yinet 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.

 

知识产权

授权发明专利13项、软件著作10余项。

社会学术与学会兼职

1、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

2、林业生态大数据国家科技创新联盟副理事长

3、中国林业计算机应用分会副理事长

4、林草三维可视化技术应用创新联盟专家组副主任委员、副秘书长

5、全国重点实验室林木资源高效利用林业生态环境监测与预警研究组客座教授

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创新联盟理事、江苏省计算机学会大数据专委会委员、江苏省模式识别专委会委员、美国IEEE会员

8、《林业工程学报》编委

9、国际期刊《Forests》编委

10、国际SCI学术期刊IEEE TNNLS, IEEE TCSVT, IEEE TIM, IEEE TITS, IEEE TCYB, Pattern Recognition, Neurocomputing, Information Science等审稿人

 

联系方式

办公电话:025-85427470

    箱:yqlcom@njfu.edu.cn

通讯地址:江苏省南京市龙蟠路159 南京林业大学信息科学技术学院、人工智能学院(210037


 


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