陈思宝

供稿人:系统管理员发布时间:2021-12-14浏览次数:7605

陈思宝
性别:男出生年月:1979.8联系方式:sbchen@ahu.edu.cn;  131****5969
技术职称:教授导师类型:博士生导师/硕士生导师
招生专业名称:计算机科学与技术、计算机技术
研究方向

1. 模式识别

2. 图像处理与识别

3. 机器学习方法及应用

个人简历

陈思宝教授/博导于2006年获博士学位,2006年至2008年在科大讯飞股份有限公司从事博士后研究,2008年起任教于安徽大学。2014年1月至2015年2月在美国德克萨斯大学阿林顿校区做访问学者。现为项目申请单位的技术顾问。陈思宝教授长期从事模式识别与计算机视觉方面的研究工作,在统计模式识别、机器学习与数据挖掘等方面取得了具有一系列较高水平的研究成果。发表学术论文60 余篇,其中EI/SCI 收录50 余篇、CCF A 类/JCR一区8篇,获国际脑启发认知系统大会BICS2018最佳论文奖。主持参与各类项目10余项,包括参与国家973、863子课题项目,主持国家自然科学基金面上、青年项目以及多项省部级科研项目。申请国家发明专利8项,其中2项已授权。获安徽省计算机学会科技进步一等奖、安徽省教学成果二等奖。在交通、公共安全以及工业制造场景下的智能视觉分析具有丰富的项目研发经验。目前负责CVPR大组的产学研合作及产业化研发工作。

学术成果

主持国家级项目2项,省部级项目3项,作为核心成员(排名前三)参与国家级项目4项。发表学术论文共60余篇,近五年代表30余篇(其中国际期刊论文20余篇),SCI收录20余篇,全部EI收录。近五年代表作如下:

[1]Jia-Xin Wang, Si-Bao Chen*, Chris H.Q.Ding, Jin Tang and Bin Luo. Semi-supervised Semantic Segmentation of Remote Sensing images with Iterative Contrastive Network. IEEE Geoscience and Remote Sensing Letters, 2022, accepted. SCI, JCR二区, EI

[2] Hui-Shen Yuan, Si-Bao Chen*, Bin Luo, Hao Huang, Qiang Li. Multibranch Bounding Box Regression for Object Detection. Cognitive Computation, 2022, online. https://doi.org/10.1007/s12559-021-09983-x. SCI, JCR二区, EI

[3] Jia-Xin Wang, Si-Bao Chen*, Chris H.Q.Ding, Jin Tang and Bin Luo. RanPaste: Paste Consistency and Pseudo Label for Semisupervised Remote Sensing Image Semantic Segmentation, in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-16, 2022, Art no. 2002916, doi: 10.1109/TGRS.2021.3102026.. SCI, JCR一区, EI

[4] Si-Bao Chen, Yu-Jie Zheng, Chris H. Q. Ding, Bin Luo, SIECP: Neural Network Channel Pruning based on Sequential Interval Estimation, Neurocomputing, Volume 481, 2022, Pages 1-10.SCI, JCR二区, EI

[5] Si-Bao Chen, Qing-Song Wei, Wen-Zhong Wang, Jin Tang, Bin Luo and Zu-Yuan Wang. Remote Sensing Scene Classification via Multi-Branch Local Attention Network. IEEE Transactions on Image Processing. 2022, vol.31, 99-109. doi:10.1109/TIP.2021.3127851.  SCI, JCR一区, EI

[6] S. -B. Chen, Y. -X. Ji, J. Tang, B. Luo, W. -Q. Wang and K. Lv, DBRANet: Road Extraction by Dual-Branch Encoder and Regional Attention Decoder, in IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022, Art no. 3002905. doi: 10.1109/LGRS.2021.3074524. SCI, JCR二区, EI

[7]Si-Bao Chen, Bei-Min Dai, Jin Tang, Bin Luo, Wei-Qiang Wang and Ke Lv. A Refined Single-Stage Detector with Feature Enhancement and Alignment for Oriented Objects. Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2021, Vol.14, 8898-8908. DOI: 10.1109/JSTARS.2021.3107549.SCI, JCR二区, EI

[8] Wei Zhou, Si-Bao Chen*, Li-Xiang Xu, Bin Luo, Multi-ColorGAN: Few-shot vehicle recoloring via memory-augmented networks, Journal of Visual Communication and Image Representation, Volume 80, 2021, 103317, pp.1-10. SCI, JCR三区, EI

[9] Xiuzhi Tian, Chris H.Q. Ding, Sibao Chen*, Bin Luo, Xin Wang, Regularization graph convolutional networks with data augmentation, Neurocomputing, Volume 436, 2021, Pages 92-102. SCI, JCR二区, EI

[10]   Xudong Lv, Si-Bao Chen, Xin Wang. Adversarial Training with Gated Convolutional Neural Networks for Robust Speech Recognition. 17th International Conference on Computational Intelligence and Security (CIS), 2021, pp.113-117. EI

[11]  Jiaxin Wang, Chris H.Q.Ding, Sibao Chen*, Chenggang He, Bin Luo. Semi-Supervised Remote Sensing Image Semantic Segmentation via Consistency Regularization and Average Update of Pseudo-label. Remote Sensing, 2020, 12(21), 3603; https://doi.org/10.3390/rs12213603. SCI, JCR二区, EI

[12]   Si-Bao Chen, Xiu-Zhi Tian, Chris H.Q. Ding, Bin Luo, Yi Liu, Hao Huang, Qiang Li. Graph Convolutional Network Based on Manifold Similarity Learning. Cognitive Computation, 2020, 12, pp.1144-1153. SCI, JCR二区, EI

[13]   Lv MM., Chen SB.*, Luo B. (2020) LSAM: Local Spatial Attention Module. In: Peng Y. et al. (eds) Pattern Recognition and Computer Vision. PRCV 2020. Lecture Notes in Computer Science, vol 12307. pp 407-418.EI

[14]   Xiong SJ., Chen SB*., Ding C.H.Q., Luo B. (2020) Large-Scale Network Representation Learning Based on Improved Louvain Algorithm and Deep Autoencoder. In: Peng Y. et al. (eds) Pattern Recognition and Computer Vision. PRCV 2020. Lecture Notes in Computer Science, vol 12307. pp 446-459. EI

[15]   Ke Zhang, Wen-Li Huang, Peng-Cheng Wang, Si-Bao Chen*, LSRAGAN: GENERATING MULTIFARIOUS COLOR PHOTOGRAPHES FROM SKETCH, The 27th IEEE International Conference on Image Processing (ICIP 2020), 1636-1640. EI

[16]   Si-Bao Chen, Rui-Rui Wang, Bin Luo, Jian Zhang. Low-Rank Laplacian Similarity Learning. 2020, BICS 2019: Advances in Brain Inspired Cognitive Systems, LNCS 11691, pp.34-44. (EI)

[17]   Changai He, Sibao Chen*, Shilei Huang, Jian Zhang, Xiao Song. Using Convolutional Neural Network with BERT for Intent Determination. 2019 International Conference on Asian Language Processing, IALP 2019, pp.65-70.EI

[18]   Rui-rui Wang, Sibao Chen*, Bin Luo, Jian Zhang: Multi-view Similarity Learning of Manifold Data. The 10th International Conference on Image and Graphics (ICIG), 2019, LNCS 11901, 631-643. EI收录)

[19]   Sibao Chen, Chao Hu, Bin Luo, Chris H. Q. Ding, Shilei Huang: Pyramid Attention Dense Network for Image Super-Resolution. International Joint Conference on Neural Networks (IJCNN), 2019: N-19383, 1-8. (EI)

[20]   Sibao Chen, Feng Luo, Bin Luo, Chris H. Q. Ding, Yi Liu: Multiple Back Propagation Network and Metric Fusion for Person Re-identification. International Joint Conference on Neural Networks (IJCNN), 2019: N-19380, 1-8. (EI)

[21]   Sibao Chen, Peng-Cheng Wang, Bin Luo, Chris H. Q. Ding, Jian Zhang: SRAGAN: Generating Colour Landscape Photograph from Sketch. International Joint Conference on Neural Networks (IJCNN), 2019: N-19381, 1-8. (EI)

[22]   Si-Bao Chen, Chris H.Q. Ding, Zhi-Li Zhou, Bin Luo, Feature Selection based on Correlation Deflation. Neural Computing and Applications. 2019, 31: 6383–6392. SCI, JCR二区, EI

[23]   Si-Bao Chen, Yu-Mei Zhang, Chris H.Q. Ding, Jian Zhang, Bin Luo. Extended Adaptive Lasso for Multi-class and Multi-label Feature Selection. Knowledge-Based Systems. 2019. 173, 28-36. SCI, JCR二区, EI

[24]  Si-Bao Chen, Chris H.Q. Ding, Bin Luo. Linear regression based projections for dimensionality reduction. Information Sciences, 2018, 467: 74-86. SCI, JCR一区, EI

[25]   Si-Bao Chen, Yu-Lan Xu, Chris H.Q. Ding, Bin Luo. A Nonnegative Locally Linear KNN model for image recognition. Pattern Recognition, 2018, 83: 78-90. SCI, JCR二区, EI

[26]   Si-Bao Chen, Chong Zuo, Chris Ding, Bin Luo. Non-greedy Max-min Large Margin based on L1-norm. Pattern Recognition Letters. 2018, 108: 38-47. SCI, JCR三区, EI

[27]   Si-Bao Chen, Ying Zhang, Chris H.Q. Ding, Zhi-Li Zhou, Bin Luo, A Discriminative Multi-Class Feature Selection Method via Weighted l2,1-norm and Extended Elastic Net, Neurocomputing, 2018, 275: 1140-1149. SCI, JCR二区, EI

[28]   Si-Bao Chen, Yu-Mei Zhang, and Bin Luo. Manifold-regularized Adaptive Lasso. Int. Conf. on Brain Inspired Cognitive Systems (BICS 2018). Lecture Notes in Artificial Intelligence. 2018, Vol. 10989, pp. 545-556. EI

[29]   Si-Bao Chen, Chuan-Yong Ding, and Bin Luo. Gaussian-Staple for Robust Visual Object Real-Time Tracking. Int. Conf. on Brain Inspired Cognitive Systems (BICS 2018). Lecture Notes in Artificial Intelligence. 2018, Vol. 10989, pp. 370-381. EI

[30]   Si-Bao Chen, Wei-Ming Song, and Bin Luo. Saliency-Weighted Global-Local Fusion for Person Re-identification. Int. Conf. on Brain Inspired Cognitive Systems (BICS 2018). Lecture Notes in Artificial Intelligence. 2018, Vol. 10989, pp. 382-393.(最佳论文奖;国际脑启发认知系统大会BICS2018)(EI

[31]   Yu-Lan Xu, Sibao Chen*, and Bin Luo. A Weighted Locally Linear KNN Model for Image Recognition. CCF Chinese Conference on Computer Vision, Tianjin. 11-14, Oct. CCCV 2017, Part III, CCIS 773, pp. 567578. EI

[32]   Si-Bao Chen, Jing Wang, Cai-Yin Liu, Bin Luo. Two-Dimensional Discriminant Locality Preserving Projection Based on L1-norm Maximization. Pattern Recognition Letters. 2017. 87: 147-154. SCI, JCR三区, EI

[33]   陈思宝,苌江,罗斌. 基于非负稀疏协作模型的目标跟踪算法. 安徽大学学报(自然科学版),   2017, 41(5):17-25.

[34]   Si-Bao Chen, Yi Xin, Bin Luo. Action-Based Pedestrian Identification via Hierarchical Matching Pursuit and Order Preserving Sparse Coding. Cognitive Computation. 2016, 8(5):797–805. SCI, JCR二区, EI

[35]   Zhihong Zhang, Jianbing Xiahou, Zheng-Jian Bai, Edwin R. Hancock, Da Zhou, Sibao Chen, Liyan Chen: Discriminative Lasso. Cognitive Computation 8(5): 847-855 (2016) SCI, JCR二区, EI

[36]   陈思宝,陈道然,罗斌. 基于L1-范数的最大间距准则. 电子学报, 2016, 44(6)1383-1388. (EI)

[37]   陈思宝,徐丹洋,罗斌. 一种非负稀疏近邻表示的多标签学习算法. 电子科技大学学报, 2015, 44(6):899-904. (EI)

[38]   Si-Bao Chen, Chris H. Q. Ding, and Bin Luo. Similarity Learning of Manifold Data. IEEE Transactions on Cybernetics. 2015, 45(9):1744-1756. SCI, JCR一区, EI

[39]   陈思宝,陈道然,罗斌. 基于L1-范数的二维线性判别分析. 电子与信息学报, 2015, 37(6):1372-1377. (EI)

[40]   Si-Bao Chen, Chris H. Q. Ding, and Bin Luo. An algorithm framework of sparse minimization for positive definite quadratic forms. Neurocomputing, 2015. 151(1-3): 223-230.SCI, JCR二区, EI

[41]   Si-Bao Chen, Chris H. Q. Ding, and Bin Luo. Extended linear regression for undersampled face recognition. Journal of Visual Communication and Image Representation. 2014, 25(7): 1800–1809.SCI, JCR三区, EI

[42]   陈思宝, 赵令, 罗斌. 基于局部保持的核稀疏表示字典学习. 自动化学报, 2014, 40(10): 2295-2305.    EI

[43]   陈思宝, 赵令, 罗斌. 基于核Fisher判别字典学习的稀疏表示分类. 光电子激光, 2014, 25(10): 2000-2008.EI

[44]   陈思宝, 许立仙, 罗斌. 基于多重核的稀疏表示分类. 电子学报, 2014, 42(9): 1807-1811.EI

[45]   陈思宝, 赵令, 罗斌. 局部保持的稀疏表示字典学习. 华南理工大学学报(自然科学版). 2014, 42(1): 142-146.EI

[46]   赵海峰,鲁毓苗,陆明,陈思宝. 基于快速稀疏表示的医学图像压缩. 计算机工程. 2014, 40(4):233-236. (CSCD)

[47]   Si-Bao Chen, Chris Ding, Bin Luo, Ying Xie. Uncorrelated Lasso. Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI-13). July 14-18, 2013. pp.166-172. Bellevue, Washington, USA.(EI, CCF A类会议).


·           专利情况:

1   国家发明专利:ZL 2015 1 0128609.1,一种多PTZ相机的运动目标接力跟踪算法。发明人:陈思宝;盛虎;罗斌;王文中;周宝通;王磊;郑远见;刘启迪。已授权。

2   国家发明专利:ZL 2015 1 0128597.2,一种基于枪球联动系统的目标检测跟踪方法。发明人:王文中;盛虎;郑爱华;陈思宝;王俊;王磊;郑远见;刘启迪。已授权。

3   国家发明专利:201710562703.7,一种基于加权稀疏协作模型的目标跟踪方法。发明人:陈思宝;金维国;苌江;宋维明;罗斌。实审。

4   国家发明专利:201710948739.9,一种基于特征选择的农作物病害识别方法。发明人:陈思宝;代北敏;张颖;罗斌。实审。

5   申请(专利)号:CN2021113032119,一种对象识别内特征数据的选择方法及其应用,发明人:陈思宝,汤恒,武文斌,孙军军,罗斌。实审。

6   申请(专利)号:CN202011533529.1,一种基于卷积区域重配准的单阶段目标检测方法, 发明人:陈思宝; 吕建春; 代北敏; 张克林; 王文中; 吕强; 汤进; 王雪雁。实审。

7   申请(专利)号:CN202110261367.9,一种基于双路区域注意力编解码的图像视觉语义分割方法, 发明人:陈思宝; 吕建春; 纪宇昕; 张克林; 王文中; 吕强; 汤进; 王雪雁; 郑刚; 胡昌隆。实审。

8   申请(专利)号:CN202110455123.4,基于网络剪枝的车辆分类模型压缩方法、装置及存储介质,发明人:吕强; 陈思宝; 吕建春; 郑宇杰; 张克林; 王文中; 汤进; 王雪雁; 郑刚; 胡昌隆。实审。

获奖情况

1.  科技进步奖:基于智能视觉计算的智慧交通超载超限综合治理,安徽省计算机学会科技进步一等奖,证书编号:2022-ACF-J-R01-1,排名第一(1/6);

2.  教学成果奖:省属高校计算机学科硕士生学术创新能力提升探索与实践,省级二等奖,编号:2019jxcgj098,排名第三(3/10);

3.  最佳论文奖;国际脑启发认知系统大会BICS2018 (Saliency-Weighted Global-Local Fusion for Person Re-identification. Int. Conf. on Brain Inspired Cognitive Systems (BICS 2018). 第一作者)

在研项目

1.国家自然科学基金面上项目,项目编号:61976004,基于加权去相关稀疏约束的深度特征选择理论与方法研究,2020/01-2023/12,主持;

2.国际(地区)合作与交流重点项目,项目编号:61860206004,遥感图像地面区域变化的结构化建模与检测方法研究,2019/01-2023/12,参加;

3.国家自然科学基金面上项目,项目编号:61872005,视频时空结构深度模型研究及应用,2019/01-2019/12,参加;

4.国家重点基础研究计划(973子课题),项目编号:2015CB351700,基于人脑视觉认知机理的视觉感知计算与交互,2015/1-2019/12,参加;

5.国家自然科学基金面上项目,项目编号:61472002,基于多模态视觉模型的行为事件分析研究与应用,2015/01-2018/12,参加。

6.产学研横向课题:太阳能光伏电池EL图像缺陷识别和判定算法(2018KJH010045), 2018,二类,主持;

7.安徽省高等学校自然科学研究项目重点项目,项目编号:KJ2017A014,基于L2,1范数约束的稳健联合稀疏特征选择理论与方法研究,2017/01-2018/12,主持;

8.国家自然科学基金青年基金项目,项目编号:61202228,图像识别中区分性稀疏表示理论与方法研究,2013/01-2015/12,主持;

9.教育部高等学校博士学科点专项科研基金联合资助新教师类基金, 项目编号:20103401120005,基于区分性度量的图像子空间选择理论与方法研究, 2011/01-2013/12,主持;

10.安徽省教育厅高校省级自然科学研究重点项目,项目编号:KJ2012A004,基于区分性度量的稀疏表示理论与方法研究,2012/01-2014/12,主持。