1.主要课题
科研项目
1. 主持国家自然科学基金青年项目：基于图非负矩阵分解变分约束的遥感图像配准方法研究(No. 61702251)，2018.1.1-2020.12.31. (排名第一，1/5)
2. 主持国家自然科学基金地区项目：基于图扰动理论的SAR图像稳健配准方法研究(No. 61363049)，2014.1.1-2017.12.31. (排名第一，1/10) (2017年12月结题)
3. 主持中国博士后科学基金第八批特别资助基金项目：基于正则化方法和迭代算法的BLT重建方法研究(No. 2015T80155)，2015.01-2016.09. (排名第一，1/1) (2016年9月结题)
4. 主持中国博士后科学基金第55批面上资助基金项目：基于自适应变分正则化方法的BLT重建算法研究(No. 2014M550881)，2014.1-2015.8. (排名第一，1/1) (2015年12月结题)
5. 主持陕西省自然科学基础研究计划一般项目（面上）: 基于图规则化稀疏分解变分约束的遥感图像配准方法研究(No. 2018JM6030)，2018.1.1-2019.12.31. (排名第一，1/5) (2020年6月结题)
6. 主持江西省自然科学基金青年项目 : 基于图稀疏分解的遥感图像配准方法研究(No. 20161BAB212033)，2016. 1-2017.12. (排名第一，1/5) (2018年12月系统提交，2019年11月纸质提交并结题，结题为优)
7. 主持中国科学院自动化研究所复杂系统管理与控制国家重点实验室开放基金项目：基于图描述低维特征的医学图像配准方法研究(No. 20140101)， 2014.1-2015.12. (排名第一，1/1) (2015年11月结题)
8. 主持无损检测技术教育部重点实验室开放基金项目：基于图投影理论的点模式配准方法研究 (No. ZD201429007)，2015.1-2016.12. (排名第一，1/6) (2016年11月结题)
9. 主持江西省教育厅科学技术研究基金一般项目(No.GJJ150751)，2016. 1-2017.12. (排名第一，1/5) (2017年11月结题)
10. 主持江西省教育厅科学技术研究基金青年项目(No. GJJ14541)，2014.1-2015.12. (排名第一，1/5) (2015年11月结题)
11. 参与国家自然科学基金项目：多层次部件感知的几何形状分析及3D模型自动生成 (No. 61363048)，2014.1-2017.12. (排名第三，3/10)
12. 参与国家自然科学基金项目：基于学习的三维模型结构分析与在线检索问题研究 (No. 61562062)，2016.1-2019.12. (排名第三，3/9)
13. 参与国家自然科学基金项目：基于组合非线性反馈控制技术的高性能伺服系统研究 (No. 61663030)，2017.1-2020.12. (排名第三，3/9)
14. 参与江西省自然科学基金面上项目：复杂背景下红外小目标检测技术研究 (No. 20161BAB202037)，2016. 1-2018.12. (排名第二，2/7)
15. 参与江西省优势科技创新团队建设计划项目：全天候机场防侵入的图像检测与识别理论研究 (No. 20152BCB24004)，2015. 1-2017.12. (排名第八，8/9)
[1] Haonan Wu, Chengcai Leng, Bing Li, Anup Basu, Licheng Jiao, Autoencoder based deep semi-supervised NMF with latent orthogonal constraint for data representation. (Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence, SCI/EI)
[2] Yameng Hong, Chengcai Leng, Xinyue Zhang, Huaiping Yan, Jinye Peng, Licheng Jiao, Irene Cheng, Anup Basu, SAR image registration based on ROEWA-blocks and multiscale circle descriptor. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, DOI: 10.1109/JSTARS.2021.3119923. (SCI/EI)
[3] Haipeng Zhang, Chengcai Leng, Xiao Yan, Guorong Cai, Zhao Pei, Naigong Yu, Anup Basu, Remote sensing image registration based on local affine constraint with circle descriptor. IEEE Geoscience and Remote Sensing Letters, DOI: 10.1109/LGRS.2020.3027096. (SCI/EI)
[4] Chengcai Leng, Hai Zhang, Guorong Cai, Zhen Chen, Anup Basu, Total variation constrained non-negative matrix factorization for medical image registration. IEEE/CAA Journal of Automatica Sinica, 2021, 8(5): 1025-1037. (SCI/EI)
[5] Miao Tian, Chengcai Leng, Haonan Wu, Anup Basu, Total variation constrained graph-regularized convex non-negative matrix factorization for data representation. IEEE Signal Processing Letters, 2021, 28: 126-130. (SCI/EI)
[6] Yameng Hong, Chengcai Leng, Xinyue Zhang, Zhao Pei, Irene Cheng, Anup Basu, HOLBP: remote sensing image registration based on histogram of oriented local binary pattern descriptor. Remote Sensing, 2021, 13(12), 2328, 1-17. (SCI/EI)
[7] Chengcai Leng, Hai Zhang, Guorong Cai, Irene Cheng, Anup Basu, Graph regularized Lp smooth non-negative matrix factorization for data representation. IEEE/CAA Journal of Automatica Sinica, 2019, 6(2): 584-595. (SCI/EI)
[8] Chengcai Leng, Guorong Cai, Dongdong Yu, Zongyue Wang, Adaptive total-variation for non-negative matrix factorization on manifold. Pattern Recognition Letters, 2017, 98: 68-74. (SCI/EI)
[9] Chengcai Leng, Wei Xu, Irene Cheng, Anup Basu, Graph matching based on stochastic perturbation. IEEE Transactions on Image Processing, 2015, 24(12): 4862-4875. (SCI/EI)
[10] Chengcai Leng, Jie Tian, Mathematical method in optical molecular imaging. SCIENCE CHINA Information Sciences, 2015, 58(3): 031101(13). (SCI/EI)
[11] Chengcai Leng, Jinjun Xiao, Min Li, Haipeng Zhang, Robust adaptive principal component analysis based on intergraph matrix for medical image registration. Computational Intelligence and Neuroscience, vol. 2015, Article ID 829528, 7 pages, 2015. (SCI/EI)
[12] Chengcai Leng, Dongdong Yu, Shuang Zhang, Yu An, Yifang Hu, Reconstruction method for optical tomography based on the linearized Bregman iteration with sparse regularization. Computational and Mathematical Methods in Medicine, vol. 2015, Article ID 304191, 8 pages, 2015. (SCI)
[13] Chengcai Leng, Zhen Chen, Guorong Cai, Irene Cheng, Zhihui Xiong, Jie Tian, Anup Basu, Total variation constrained graph regularized NMF for medical image registration. 2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP 2016), Bordeaux, France, pp. 1-5, July 11-12, 2016. (EI)
[14] Chengcai Leng, Wei Xu, Irene Cheng, Zhihui Xiong, Anup Basu, Normalized Gaussian distance graph cuts for image segmentation. IEEE International Symposium on Multimedia (ISM 2015), Miami, Florida USA, pp. 523-528, December 14-16, 2015. (EI)
[15] 冷成财, 张海鹏, 张聪炫, 陈震, 于乃功. 基于尺度、方向和距离约束的改进SIFT配准方法. 纳米技术与精密工程, 2017, 15(1): 36-43.
[16] Zhao Pei, Yuanshuai Gou, Miao Ma, Min Guo, Chengcai Leng, Yuli Chen, Jun Li, Alzheimer’s disease diagnosis based on long-range dependency mechanism using convolutional neural Network. Multimedia Tools and Applications, 2021, DOI:10.1007/s11042-021-11279-z. (SCI/EI)
[17] Zhao Pei, Yawen Li, Miao Ma, Jun Li, Chengcai Leng, Xiaoqiang Zhang, Yanning Zhang, Occluded-object 3D reconstruction using camera array synthetic aperture imaging. Sensors, 2019, 19(3), 607. (SCI/EI)
[18] Guorong Cai, Songzhi Su, Chengcai Leng, Jipeng Wu, Yundong Wu, Shaozi Li, Cover patches: A general feature extraction strategy for spoofing detection. Concurrency and Computation-Practice and Experience, 2019, 31(23), 1-19. (SCI)
[19] Guorong Cai, Songzhi Su, Chengcai Leng, Yundong Wu, Feng Lu, A robust transform estimator based on residual analysis and its application on UAV aerial images. Remote Sensing, 2018, 10(2), 291. (SCI/EI)
[20] Bo Li, Chunyuan Lu, Zhijie Wen, Chengcai Leng, Xiuping Liu, Locality-constrained nonnegative robust shape interaction subspace clustering and its applications. Digital Signal Processing, 2017, 60: 113-121. (SCI/EI)
[21] Shuang Zhang, Chengcai Leng, Hongbo Liu, Kun Wang, Jie tian, Fast in vivo bioluminescence tomography using a novel pure optical imaging technique. Journal of Innovative Optical Health Sciences, 2017, 10(3): 1750003(12). (SCI/EI)
[22] Shuang Zhang, Kun Wang, Hongbo Liu, Chengcai Leng, Yuan Gao, Jie Tian, Reconstruction method for in vivo bioluminescence tomography based on the Split Bregman iterative and surrogate functions. Molecular Imaging and Biology, 2017, 19(2): 245-255. (SCI)
[23] Dongdong Yu, Feng Yang, Caiyun Yang, Chengcai Leng, Jian Cao, Yining Wang, Jie Tian, Fast rotation-free feature-based image registration using improved N-SIFT and GMM-based parallel optimization. IEEE Transactions on Biomedical Engineering, 2016, 63(8): 1653-1664. (SCI/EI)
[24] Yifang Hu, Jie Liu, Chengcai Leng, Yu An, Shuang Zhang, Kun Wang, Lp regularization for bioluminescence tomography based on the Split Bregman method. Molecular Imaging and Biology, 2016, 18(6): 830-837. (SCI)
[25] Jianhong Li, Yarong Wu, Xiaonan Luo, Chengcai Leng, Bo Li, Single image superresolution using maximizing self-similarity prior. Mathematical Problems in Engineering, vol. 2015, Article ID 312423, 10 pages, 2015. (SCI/EI)
[26] Xiaonan Wan, Dongdong Yu, Feng Yang, Caiyun yang, Chengcai Leng, Min Xu, Jie Tian, A new region descriptor for multi-modal medical image registration and region detection, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2015), pp. 2920-2923, Milano, Italy, August 25-29, 2015. (EI)
[27] 李波, 金连宝, 曹俊杰, 冷成财, 卢春园, 苏志勋. 分层信息融合的物体级显著性检测. 中国图象图形学报, 2016, 21(5): 595-604.
[28] 李波, 苏卓, 冷成财, 王胜法, 罗笑南. 基于混合梯度最小化Mumford-Shah模型的高维滤波算法. 自动化学报, 2014, 40(12): 2926-2935. (EI)
3.获奖情况
