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彭冲，男，1991年2月生，博士，副教授，硕士研究生导师，青岛大学特聘教授。研究方向为机器学习、数据挖掘、计算机视觉，已在该领域内IEEE CVPR, ICDE, TIP, TNNLS, TMM, TGRS, TCSVT, TVCG, ACM SIGKDD, TKDD, TOMM, TIST, Pattern Recognition, Knowledge-based Systems, Information Sciences等学术期刊和会议发表学术论文60余篇，先后主持国家自然科学基金青年/面上项目、山东省自然基金青年项目。获ACM Qingdao新星奖。

教育背景

2008.09至2012.07 青岛大学 统计学 学士学位

2013.01至2017.12 南伊利诺伊大学 计算机科学 博士学位

工作经历

2018.02至2020.12 青岛大学计算机科学技术学院 助理教授，青年卓越人才

2021.01至今 青岛大学计算机科学技术学院 副教授，特聘教授

研究方向

机器学习、数据挖掘、计算机视觉

科研项目

  1. 国家自然科学基金 面上项目: 基于数据全局与局部相似信息的非负矩阵分解算法研究,2023.01-2026.12,主持

  2. 国家自然科学基金 青年项目: 面向大规模二维数据的岭回归子空间聚类算法研究,2019.01-2021.12,主持

  3. 山东省自然科学基金 青年项目: 面向二维数据聚类的二维非负矩阵分解算法研究,2019.07-2022.06,主持

    部分代表性论文

  4. Chong Peng (彭冲), Yang Liu, Kehan Kang, Yongyong Chen, Xinxin Wu, Andrew Chen, Zhao Kang, Chenglizhao Chen, and Qiang Cheng, Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization, IEEE Transactions on Geoscience and Remote Sensing, 2022. (接收，CCF-B, 中科院二区, 第一作者)

  5. Chong Peng (彭冲), Jing Zhang, Yongyong Chen, Xin Xing, Chenglizhao Chen, Zhao kang, and Qiang Cheng, Preserving Bilateral View Structural Information for Subspace Clustering, Knowledge-Based Systems ,2022.(接收，CCF-C, 中科院二区, 升级版中科院一区, 第一作者)

  6. Chong Peng (彭冲), Zhilu Zhang, Chenglizhao Chen, Zhao Kang, and Qiang Cheng, Two-Dimensional Semi-Nonnegative Matrix Factorization for Clustering, Information Sciences, Vol. 590: 106-141, 2022. (CCF-B, 中科院二区, 升级版中科院一区, 第一作者)

  7. Chong Peng (彭冲), Yiqun Zhang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, and Qiang Cheng, Log-based sparse nonnegative matrix factorization for data representation, Knowledge-Based Systems, Vol. 251: 5, 2021. (CCF-C, 中科院二区, 升级版中科院一区, 第一作者)

  8. Chong Peng (彭冲), and Qiang Cheng, Discriminative Ridge Machine: A Classifier for High-Dimensional Data or Imbalanced Data, IEEE Transactions on Neural Networks and Learning Systems, Vol. 32(6): 2595-2609, 2021. (CCF-B, 中科院一区, 第一作者)

  9. Chong Peng (彭冲), Qian Zhang, Zhao Kang, Chenglizhao Chen, and Qiang Cheng, Kernel Two-Dimensional Ridge Regression for Subspace Clustering, Pattern Recognition, Vol. 113: 107749, 2021. (CCF-B, 中科院二区, 升级版中科院一区, 第一作者)

  10. Chong Peng (彭冲), Yang Liu, Zhao Kang, Yongyong Chen, Chenglizhao Chen, and Qiang Cheng, Learning Discriminative Representation for Image Classifification, Knowledge- Based Systems, Vol. 233: 107517, 2021. (CCF-C, 中科院二区, 升级版中科院一区中科院一区, 第一作者)

  11. Chenglizhao Chen, Jipeng Wei, Chong Peng (彭冲)*, and Hong Qin, Depth-Quality Aware Salient Object Detection, IEEE Transactions on Image Processing, Vol. 30: 2350-2363, 2021. (CCF-A, 中科院一区, 通讯作者)

  12. Chenglizhao Chen, Hongmeng Zhao, Chong Peng(彭冲)*, Teng Yu, Huan Yang, and Hong Qin, Full Reference Screen Content Image Quality Assessment by Fusing Multi-level Structure Similarity, ACM Transactions on Multimedia Computing Communications and Applications, Vol. 17(3): 94,pp 1-21, 2021. (CCF-B, 中科院四区, 通讯作者)

  13. Chenglizhao Chen, Chong Peng (彭冲)*, Yuming Fang, Dingwen Zhang and Hong Qin, Exploring Rich and Effificient Spatial Temporal Interactions for Real-Time Video Salient Object Detection, IEEE Transactions on Image Processing, Vol. 30: 3995-4007, 2021. (CCF-A,中科院一区, 通讯作者)

  14. Yang Liu, Qian Zhang, Yongyong Chen, Chong Peng (彭冲)*, and Qiang Cheng, Hyperspectral Image Denoising With Log-based Robust PCA, IEEE International Conference on Image Processing (ICIP), Pages: 1634-1638, 2021. (CCF-C, 通讯作者)

  15. Chenglizhao Chen, Jia Song, Chong Peng (彭冲)*, Guotao Wang, and Yuming Fang, A Novel Video Salient Object Detection Method via Semi-supervised Motion Quality Perception, IEEE Transactions on Circuits and Systems for Video Technology, 2021, Early Access. (CCF-B, 中科院二区, 升级版中科院一区, 通讯作者)

  16. Chong Peng (彭冲), Zhilu Zhang, Zhao Kang, Chenglizhao Chen, and Qiang Cheng, Nonnegative Matrix Factorization with Local Similarity Learning, Information Sciences, Vol. 562: 325-346, 2021. (CCF-B, 中科院二区, 升级版中科院一区, 第一作者)

  17. Chong Peng (彭冲), Yongyong Chen, Zhao Kang, Chenglizhao Chen, and Qiang Cheng, Robust Principal Component Analysis: A Factorization-Based Approach with Linear Complexity, Information Sciences, Vol. 513: 581-599, 2020. (CCF-B, 中科院二区, 升级版中科院一区, 第一作者)

  18. Qian Zhang, Chong Peng (彭冲)*, Feature selection embedded robust k-means, IEEE Access, 8: 166164-166175, 2020. (中科院二区, 通讯作者)

  19. Chenglizhao Chen, Jipeng Wei, Chong Peng (彭冲)*, Weizhonghong Zhang, and Hong Qin, Improved Saliency Detection in RGB-D Images Using Two-Phase Depth Estimation and Selective Deep Fusion, IEEE Transactions on Image Processing, Vol. 29: 4296-4307, 2020. (CCF-A, 中科院一区, 通讯作者)

  20. Chong Peng (彭冲), Chenglizhao Chen, Zhao Kang, Jianbo Li, and Qiang Cheng, RES-PCA: A Scalable Approach to Recovering Low-rank Matrices, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Pages: 7317-7325,2019. (CCF-A会议, 第一作者)

  21. Chenglizhao Chen, Guotao Wang, Chong Peng (彭冲)*, Xiaowei Zhang, and Hong Qin, Improved Robust Video Saliency Detection based on Long-term Spatial-temporal Information, IEEE Transactions on Image Processing, Vol. 29: 1090-1100, 2019. (CCF-A,中科院一区, 通讯作者)

  22. Guangxiao Ma, Shuai Li, Chenglizhao Chen, Chong Peng (彭冲)*, Aimin Hao, and Hong Qin, Salient Object Detection via Multiple Instance Joint Re-learning, IEEE Transactions on Multimedia, Vol. 22(2): 324-336, 2019. (CCF-B, 中科院二区, 升级版中科院一区, 通讯作者)

  23. Chenglizhao Chen, Guotao Wang, Chong Peng(彭冲)*, Structure-Aware Adaptive Diffusion for Video Saliency Detection, IEEE Access, Vol. 7: 79770-79782, 2019. (中科院三区, 通讯作者)

  24. Shuting Cai, Zhao Kang, Ming Yang, Momiao Xiong, Chong Peng(彭冲)*, and Mingqing Xiao, Image Denoising via Improved Dictionary Learning with Global Structure and Local Similarity Preservations, Symmetry, Vol. 10(5): 167, 2018. (中科院四区, 通讯作者)

  25. Chong Peng (彭冲), Zhao Kang, and Qiang Cheng, Subspace clustering via variance regularized ridge regression, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Pages: 2931–2940, 2017. (CCF-A会议, 第一作者)

  26. Chong Peng (彭冲), Zhao Kang, Huiqing Li, and Qiang Cheng, Subspace clustering using log-determinant rank approximation, ACM SIGKDD Conf. on Knowledge Discovery and Data Mining (SIGKDD), Pages: 925-934, 2016. (CCF-A会议, 第一作者)

  27. Chong Peng (彭冲), Zhao Kang, and Qiang Cheng, Integrate and Conquer: Double Sided Two-Dimensional k-Means Via Integrating of Projection and Mainfold Construction, ACM Transactions on Intelligent Systems and Technology, Vol. 9(5): 57,pp 1-25, 2018. (中科院二区, 第一作者)

  28. Chong Peng (彭冲), Zhao Kang, Yunhong Hu, Jie Cheng, and Qiang Cheng, Nonnegative matrix factorization with integrated graph and feature learning, ACM Transactions on Intelligent Systems and Technology, Vol. 8(3): 42,pp 1-29, 2017. (中科院二区, 第一作者)

  29. Chong Peng (彭冲),Jie Cheng, and Qiang Cheng, A supervised learning model for high-dimensional and large-scale data, ACM Transactions on Intelligent Systems and Technology, Vol. 8(2): 30,pp 1-23, 2017. (中科院二区, 第一作者)

  30. Chong Peng (彭冲), Zhao Kang, Yunhong Hu, Jie Cheng, and Qiang Cheng, Robust graph regularized nonnegative matrix factorization for clustering, ACM Transactions on Knowledge Discovery from Data, Vol. 11(3): 33,pp 1-30, 2017. (CCF-B, 中科院三区, 第一作者)

     

    知识产权

    1. 专利： 一种基于核二维岭回归子空间聚类的图像处理方法，专利号ZL202011369955.6

     

 

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