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硕士报考志愿采集    更新日期：2022年4月3日
姓 名 孙权森 性 别 男
出生年月 1963年11月 籍贯 济宁
民 族 汉族 政治面貌 中国共产党党员
最后学历 研究生毕业 最后学位 工学博士
技术职称 教授 导师类别 博士生导师
导师类型 校内 兼职导师 否
行政职务 Email sunquansen@njust.edu.cn
工作单位 南京理工大学计算机科学与工程学院 邮政编码 210094
通讯地址 南京市玄武区孝陵卫200号
单位电话
个人主页
指导学科
学科专业(主) 081104|模式识别与智能系统 招生类别 博、硕士 所在学院 计算机科学与工程学院
研究方向

1. 模式识别理论与应用；2. 图像处理、分析与识别；3. 遥感信息智能处理
学科专业（辅） 081203|计算机应用技术 招生类别 博、硕士 所在学院 计算机科学与工程学院
研究方向

1.机器学习； 2.图像识别与计算机视觉； 3.遥感与医学影像分析
社会、学会及学术兼职

1.江苏省人工智能能学会副理事长；2.江苏省信息技术应用学会人工智能专委会主任；3.江苏省人工智能能学会模式识别专委会常务副主任；4.中国遥感应用协会理事；5.CCF人工智能与模式识别专委会执行委员、CCAI机器学习专委会委员、CAAI模式识别专委会委员。

 

 

发表论文

先后在国内外重要学术刊物和国际会议上发表学术论文200余篇，已被SCI收录100余篇。代表性论文如下：

 近年发表的部分SCI代表性论文(中科院一区、二区论文)：

  1. Yazhou Liu, Yuliang Chen, Pongsak Lasang, Qunsen Sun*. Covariance Attention for Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, DOI:10.1109/TPAMI.2020. 3026069.
  2. Changxin Zhou, Yazhou Liu, Quansen Sun, Pongsak Lasang. Vehicle Detection and Disparity Estimation using Blended Stereo Images. IEEE Transactions on Intelligent Vehicles, 2021. DOI: 10.1109/TIV.2020.3049008.
  3. Tao Wang, Zexuan Ji, Jian Yang, Quansen Sun*, Peng Fu. Global Manifold Learning for Interactive Image Segmentation. IEEE Transactions on Multimedia, 2021.23:3239-3249.
  4. Tao Wang, Shengzhe Qi, Jian Yang, Zexuan Ji, Quansen Sun*, Qi Ge. Interactive Image Segmentation based on Label Pair Diffusion.IEEE Transactions on Industrial Informatics, 2021,17(1):135-146.
  5. Xiaobo Shen, Guohua Dong, Yuhui Zheng, Long Lan, Ivor W. Tsang, Quan-Sen Sun. Deep Co-Image-Label Hashing for Multi-label Image Retrieval, IEEE Transactions on Multimedia, DOI: 10.1109/TMM.2021.3119868.
  6. Zhenwen Ren, Quansen Sun*. Simultaneous Global and Local Graph Structure Preserving for Multiple Kernel Clustering. IEEE Transactions on Neural Networks and Learning Systems, 2021,32(5): 1839-1851.
  7. Zhenwen Ren, Simon X Yang, Quansen Sun*, Wang Tao. Consensus Affinity Graph Learning for Multiple Kernel Clustering.IEEE Transactions on Cybernetics, 2021.51(6):3273-3284.
  8. Zhenwen Ren, Quansen Sun*, Bin Wu, Xiaoqian Zhang, Wenzhu Yan. Learning Latent Low-Rank and Sparse Embedding for Robust Image Feature Extraction. IEEE Transactions on Image Processing, 2020, 29:2094-2107.
  9. Guoqing Zhang, Huaijiang Sun, Yuhui Zheng, Guiyu Xia, Lei Feng, Quansen Sun. Optimal Discriminative Projection for Sparse Representation-based Classification via Bilevel Optimization. IEEE Transactions on Circuits and Systems for Video Technology, 2020, 30(4): 1065-1076.
  10. Tao Wang, Jian Yang, Zexuan Ji, Quansen Sun*. Probabilistic Diffusion for Interactive   Image Segmentation. IEEE Transactions on Image Processing, 2019, 28(1):330-342.
  11. Xiaobo Shen, Weiwei Liu, Ivor Tsang, Quansen Sun, Yew-Soon Ong. Multi-label Prediction via Cross-view Search. IEEE Transactions on Neural Networks and Learning Systems, 2018, 29(9):4324-4338.
  12. Xiaobo Shen, Fumin Shen, Li Liu, Yunhao Yuan, Weiwei Liu, Quansen Sun. Multi-view Discrete Hashing for Scalable Multimedia Search. ACM Transactions on Intelligent Systems and Technology, 2018, 9(5):53:1-53:21.
  13. Xiaobo Shen, Fumin Shen, Quansen Sun*, Yang Yang, Yunhao Yuan, Hengtao Shen. Semi-paired Discrete Hashing: Learning Latent Hash Codes for Semi-paired Cross-view Retrieval. IEEE Transactions on Cybernetics, 2017, 47(12):4275-4288.
  14. Guoqing Zhang, Huaijiang Sun, Fatih Porikli, Yazhou Liu, Quansen Sun. Optimal Couple Projections for Domain Adaptive Sparse Representation-based Classification. IEEE Transactions on Image Processing, 2017, 26(12):5922-5935.
  15. Bosi Yu, Yazhou Liu, Quansen Sun. A Content-Adaptively Sparse Reconstruction Method for Abnormal Events Detection with Low-Rank Property. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017, 47(4):704-716.
  16. Guoqing Zhang, Huaijiang Sun, Guiyu Xia, Quansen Sun. Multiple kernel sparse representation based orthogonal discriminative projection and its cost-sensitive extension. IEEE Transactions on Image Processing, 2016, 25(9): 4271-4285.
  17. Tao Wang, Zexuan Ji, Quansen Sun, Qiang Chen, Xiaoyuan Jing. Interactive multi label image segmentation via robust multi-layer graph constraints. IEEE Transactions on Multimedia, 2016, 18(12): 2358-2371. 
  18. Yazhou Liu, Pongsak Lasang, Mel W. Siegel, Quansen Sun. Geodesic Invariant Feature: A Local Descriptor in Depth. IEEE Transactions Image Processing, 2015, 24(1): 236-248.
  19. Yunhao Yuan, Quansen Sun. Multiset Canonical Correlations Using Globality Preserving Projections with Applications to Feature Extraction and Recognition. IEEE Transactions on Neural Networks and Learning Systems, 2014, 25(6): 1131-1146.
  20. Tao Wang, Zexuan Ji, Jian Yang, Quansen Sun*, Xiaobo Shen, Zhenwen Ren, Qi Ge. Label group diffusion for image and image pair segmentation. Pattern Recognition, 2021. DOI:10.1016/j.patcog.2020.107789.
  21. Zongyuan Ding, Tao Wang, Quansen Sun*, Qiongjie Cui, Fuhua Chen. A dualstream framework guided by adaptive Gaussian maps for interactive image segmentation. Knowledge-Based Systems, 2021, 223: 107033.
  22. Lei Chen, Fanhai Wang, Quansen Sun*. Attention-adaptive and Deformable Convolutional Modules for Dynamic Scene Deblurring. Information Sciences, 2021, 546:368-377.
  23. Tao Wang, Shengzhe Qi, Zexuan Ji, Quansen Sun*, Peng Fu, Qi Ge. Error-tolerant label prior for interactive image segmentation. Information Sciences, 2020, 538: 384-395.
  24. Dong Wei, Xiaobo Shen, Quansen Sun*, Xizhan Gao, Zhenwen Ren, Neighbor hood preserving embedding on Grassmann manifold for image-set analysis, Pattern Recognition, 2022, 122: 108335.
  25. Dong Wei, Xiaobo Shen, Quansen Sun*, Xizhan Gao, Zhenwen Ren, Adaptive graph guided concept factorization on Grassmann manifold, Information Sciences, 2021,576:725-742.
  26. Dong Wei, Xiaobo Shen, Quansen Sun*, Xizhan Gao, Wenzhu Yan. Prototype Learning and Collaborative Representation using Grassmann Manifolds for Image Set Classification. Pattern Recognition, 2020, 100:107123.
  27. Zhenwen Ren, Haoyun Lei, Quansen Sun*, Chao Yang. Simultaneous Learning Coefficient Matrix and Affinity Graph for Multiple Kernel Clustering, Information sciences, 2020,547:289-306.
  28. Wenzhu Yan, Quansen Sun*, Huaijiang Sun, Yanmeng Li, Zhenwen Ren. Semi-supervised Learning Framework Based on Statistical Analysis for Image Set Classification. Pattern Recognition, 2020, 107:107500.
  29. Wenzhu Yan, Quansen Sun*, Huaijiang Sun, Yanmeng Li. Joint Dimensionality Reduction and Metric Learning for Image Set Classification. Information Sciences, 2020, 516:109-204.
  30. Xizhan Gao, Quansen Sun*, Haitao Xu, Jianqiang Gao. Sparse and Collaborative Representation Based Kernel Pairwise Linear Regression for Image Set Classification. Expert Systems with Applications, 2020, 140:1-14.
  31. Dong Wei, Xiaobo Shen, Quansen Sun*, Xizhan Gao, Wenzhu Yan, Locality-aware group sparse coding on Grassmann manifolds for image set classification, Neurocomputing, 2020，385:197-210.
  32. Jie Kong,Quansen Sun*, Mithun Mukherjee, Jaime Lloret. Low-Rank Hypergraph Hashing for Large-Scale Remote Sensing Image Retrieval, Remote Sensing, 2020, 12(7):1164.
  33. Chao Yang, Zhenwen Ren, Quansen Sun, Mingna Wu,Maowei Yin,Yuan Sun. Joint correntropy metric weighting and block diagonal regularizer for robust multiple kernel subspace clustering, Information Sciences, 2019, 500: 48-66.
  34. Zhenwen Ren, Haoran Li, Chao Yang, Quansen Sun*. Multiple Kernel Subspace Clustering with Local Structural Graph and Low-Rank Consensus Kernel Learning, Knowledge-Based Systems, 2019,188: 105040.
  35. Zhenwen Ren, Bin Wu, Quansen Sun*, Mingna Wu. Simultaneous Learning of Reduced Prototypes and Local Metric for Image Set Classification. Expert Systems with Applications, 2019, 134:102-111.
  36. Xizhan Gao, Quansen Sun*, Haitao Xu, Dong Wei, Jianqiang Gao, Multi-model Fusion Metric Learning for Image Set Classification. Knowledge-Based Systems, 2019, 164: 253-264.
  37. Tao Wang, Zexuan Ji, Quansen Sun*, Qiang Chen, Qi Ge, Jian Yang. Diffusive Likelihood for Interactive Image Segmentation. Pattern Recognition, 2018,79:440-451.
  38. Tao Wang, Jian Yang, Quansen Sun*, Zexuan Ji, Peng Fu, Qi Ge. Global Graph Diffusion for Interactive Object Extraction. Information Sciences, 2018, 460:103-114.
  39. Xizhan Gao, Quansen Sun, Haitao Xu, Yanmeng Li. 2D-LPCCA and 2D-SPCCA: Two new canonical correlation methods for feature extraction, fusion and recognition. Neurocomputing, 2018,284:148-159.
  40. Menglan Xie,Zexuan Ji,Guoqing Zhang,Tao Wang,Quansen Sun.Mutually Exclusive- KSVD:Learning a Discriminative Dictionary for Hyperspectral Image Classification. Neurocomputing, 2018, 315: 177-189.
  41. Fu P, Li C, Cai W, Sun Q S. A spatially cohesive superpixel model for image noise level estimation. Neurocomputing, 2017,266: 420-432.
  42. Fu P, Sun X, Sun Q S. Hyperspectral image segmentation via frequency-based similarity for mixed noise estimation[J]. Remote Sensing, 2017, 9(12), 1237.
  43. Tao Wang, Quansen Sun, Zexuan Ji, Qiang Chen, Peng Fu. Multi-layer graph constraints for interactive image segmentation via game theory. Pattern Recognition, 2016, 55(C): 28-44.
  44. Hongkun Ji, Quansen Sun, Zexuan Ji, Yunhao Yuan, Guoqing Zhang. Collaborative Probabilistic Labels for Face Recognition from Single Sample per Person. Pattern Recognition, 2016, 62: 125-134.
  45. Guoqing Zhang, Huaijiang Sun, Zexuan Ji, Yunhao Yuan and Quansen Sun. Cost-sensitive dictionary learning for face recognition, Pattern Recognition, 2016, 60: 613-629.
  46. Guoqing Zhang, Huanjiang Sun, Guiyu Xia, and Quansen Sun. Kernel collaborative representation based dictionary learning and discriminative projection, Neurocomputing, 2016, 207: 300-309.
  47. Xiaobo Shen, Quansen Sun, Yunhao Yuan. Semi-paired Hashing for Cross-view Retrieval, Neurocomputing, 2016, 213: 14-23.
  48. Yazhou Liu, Pongsak Lasang, Quansen Sun, Mel Siegel. Multi-sparse Descriptor: A Scale Invariant Feature for Pedestrian Detection, Neurocomputing, 2016, 18(4): 55-65.
  49. Guoqing Zhang, Huaijiang Sun, Zexuan Ji,  Quansen Sun. Label Propagation based on Collaborative Representation for Face Recognition, Neurocomputing, 2016, 171: 1193-1204.
  50. Jixin Liu, Quansen Sun. Sparse recognition via intra-class dictionary learning using visual saliency information. Neurocomputing, 2016, 196:70-81.

 

部分国际会议代表性论文：

  1. Zhenwen Ren, Quansen Sun, Dong Wei, Multiple Kernel Clustering with Kernel k-Means Coupled Graph Tensor Learning. in Proceedings of AAAI Conference on Artificial Intelligence, 2021. CCF A类会议，人工智能顶级会议)
  2. Xiaobo Shen, Shirui Pan, Weiwei Liu, Yew-Soon Ong, Quansen Sun.Discrete Network Embedding, In proceedings of IJCAI Conference on Artificial Intelligence, 2018: 3549-3555.（CCF A类，人工智能顶级会议）
  3. Xiaobo Shen, Weiwei Liu, Ivor Tsang, Quansen Sun, Yew-Soon Ong. Compact Multi-label Prediction, in Proceedings of AAAI Conference on Artificial Intelligence, 2018.（CCF A类会议，人工智能顶级会议）
  4. Xiaobo Shen, Weiwei Liu, Ivor Tsang, Fumin Shen, QuanSen Sun, Yew-Soon Ong, Compressed K-Means for Large-Scale Clustering. In Proceedings of AAAI Conference on Artificial Intelligence, 2017: 2527-2533.（CCF A类会议, 人工智能顶会）
  5. Tao Wang, Quansen Sun, Qi Ge, Zexuan Ji, Qiang Chen, Guiyu Xia. Interactive image segmentation via pairwise likelihood learning. In proceedings of IJCAI Conference on Artificial Intelligence, 2017, 2957-2963. （CCF A类会议，人工智能顶会）
  6. Xiaobo Shen, Fumin Shen, Quansen Sun, Yunhao Yuan. Multi-view Latent Hashing for Efficient Multimedia Search. In Proceedings of ACM International Conference on Multimedia, 2015: 831-834.（CCF A类会议）

 

部分中文期刊代表性论文：

  1. 丁宗元, 孙权森*, 王涛, 王洪元. 基于融合多尺度标记信息的深度交互式图像分割.计算机研究与发展, 2021, 58(8): 1705-1717.（EI）
  2. 孔颉,孙权森*,徐晖,刘亚洲,纪则轩. 基于仿射不变离散哈希的遥感图像多目标分类, 软件学报, 2019,30(4):914-926.（EI）
  3. 王旭,陈强,孙权森*. 基于多通道空间光谱全变差的衍射光谱图像复原算法, 计算机研究与发展, 2020, 57(2): 4112-423.（EI）
  4. 周雨薇,杨平吕,陈强, 孙权森. 基于MTF和变分的全色与多光谱图像融合模型,自动化学报，2015，2：342-352. （EI）
  5. 傅鹏, 孙权森*, 纪则轩. 基于光谱-空间信息的高光谱遥感图像混合噪声评估,红外与毫米波学报，2015，34（2）：236-242.（SCI）
  6. 傅鹏, 孙权森*, 纪则轩. 结合分形理论和自适应图像块划分的遥感图像噪声估计.测绘学报, 2015, 44(11):1235-1245. (EI)
  7. 傅鹏, 孙权森*, 纪则轩. 利用自适应图像块划分的图像噪声强度估计.计算机辅助设计与图形学学报, 2015, 27(8): 1475-1482. (EI)
  8. 徐焕宇, 孙权森*,罗楠,夏德深.使用半高斯核的冲击扩散滤波图像盲复原方法.自动化学报,2014,40 (6):1166-1175. （EI）
  9. 宋艳涛,纪则轩,孙权森*. 基于图像片马尔科夫随机场的脑MR图像分割算法, 自动化学报,2014,8:1754-1763. （EI）
  10. 徐焕宇,孙权森*,李大禹,宣丽. 基于投影的稀疏表示与非局部正则化图像复原方法,电子学报,2014,7:1299-1301. （EI）
出版专著和教材

出版著作教材5部

科研创新

获得国家发明专利20余项，软件著作权3项。

指导学生情况

指导博士研究生：已毕业25人，在读7人；指导硕士研究生：已毕业60余人，在读10人。先后有2篇博士学位论文/1篇硕士学位论文获得江苏省优秀博士/硕士学位论文，2篇博士学位论文获得江苏省人工智能学会优秀博士论文。多名研究生获国家奖学金与校长奖章，1名毕业博士入选国家博士后创新人才支持计划项目，1名毕业博士按青年教授引进南理工。

我的团队

作为团队负责人，本团队有核心成员10人，其中教授5人，副教授4人，在站博士后1人。本团队研究方向隶属于模式识别与智能系统国家重点学科，多数成员是“高维信息智能感知与系统”教育部重点实验室及“江苏省社会安全图像与视频理解”重点实验室的主要成员。本团队主要研究方向包括：模式识别、机器学习、计算机视觉、空间载荷与遥感信息处理、图像处理与医学影像分析等。本团队现有博士研究生20余人，硕士研究生50余人。先后有2名博士研究生获得江苏省优秀博士学位论文，6名硕士研究生获得江苏省优秀硕士学位论文；2名博士研究生、1名硕士研究生获江苏省人工智能学会优秀博士/硕士学位论文。先后有近20名研究生获得国家奖学金，2名研究生获得校长奖章，王涛博士（导师孙权森）入选国家博士后创新人才支持计划项目。