主要从事机器学习、计算机视觉、数据挖掘等方面的理论与应用研究。截止2019年6月，在国内外学术期刊上发表论文40余篇，其中SCI检索30余篇；主持国家自然科学基金面上项目，青年项目，博士后项目，参与科技部重点研发项目、国家自然科学基金面上项目等十余项；担任IEEE TIP， IEEE TSP等二十余个国际权威期刊的审稿工作。

招生：可在统计学和数学两个一级学科招收硕士和博士研究生。

研究兴趣：1.  机器学习；2. 图像处理。

发表文章：

1. Junmin Liu, Shuai Yuan, Xuehu Zhu, Yifan Huang, Qian Zhao, ``Nonnegative Matrix Factorization with Entropy Regularization for Hyperspectral Unmixing,'' Accepted by International Journal of Remote Sensing 2021. 
2. Yicheng Wang, Shuang Xu, Junmin Liu*, Zixiang Zhao, Chunxia Zhang, and Jiangshe Zhang “MFIF-GAN: A New Generative Adversarial
   Network for Multi-Focus Image Fusion,” Signal Processing: Image Communication, 96: 116295, August 2021.
3. Yunqiao Feng, Junmin Liu*, Kun Chen, Bo Wangy, and Zixiang Zhao. “Optimization Algorithm Unfolding Deep Networks of Detail
   Injection Model for Pansharpening,” Accepted by IEEE Geoscience and Remote Sensing Letters, 2021.
4. Junmin Liu*, Changsheng Zhou, Rongrong Fei, Chunxia Zhang, and Jiangshe Zhang, “Pansharpening via Neighbor Embedding of
   Spatial Details,” Accepted by IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021.
5. Shuang Xu, Jiangshe Zhang, Zixiang Zhao,  Kai Sun, Junmin Liu, and Chunxia Zhang,  “Deep Gradient Projection Networks for Pan-sharpening,” Accepted by CVPR, 2021.
6. Kai Sun, Jiangshe Zhang, Junmin Liu, et al. “DRCNN: Dynamic-Routing Convolutional Neural Network for Multi-View 3D Object
   Recognition,” IEEE Transactions on Image Processing, vol.30, pp. 868–877, 2020.
7. Changsheng Zhou, Jiangshe Zhang*, Junmin Liu*,  Chunxia Zhang, et al., ``Bayesian Transfer Learning for Object Detection in Optical Remote Sensing Images,'' Accepted by IEEE Transactions on Geoscience and Remote Sensing, 2020. (DOI: 10.1109/TGRS.2020.2983201; SCI; 2018 Impact Factor: 5.63)
8. Junmin Liu*, Yunqiao Feng, Changsheng Zhou, Chunxia Zhang, “PWNet: An adaptive weight network for the fusion of panchromatic
   and multispectral images,” Remote Sensing, 2020, 12: 2804; doi:10.3390/rs12172804.
9. Shuang Xu, O. Amira, Junmin Liu*, Chunxia Zhang, et al. ``HAM-MFN: Hyperspectral and Multispectral Image Multiscale Fusion Network With RAP Loss,'' Accepted by IEEE Transactions on Geoscience and Remote Sensing, 2020. (DOI: 10.1109/TGRS.2020.2964777; SCI; 2018 Impact Factor: 5.63)
10. Guang Shi, Jiangshe Zhangy, Junmin Liu*, Chunxia Zhang, Changsheng Zhou, and Shuyun Yang, “Global Context-Augmented Objection
    Detection in VHR Optical Remote Sensing Images,” Accepted by IEEE Transactions on Geoscience and Remote Sensing, 2020.
11. Xuehu Zhu, Yue Kang, Junmin Liu*, ``Estimation of the Number of Endmembers via Thresholding Ridge Ratio Criterion,''  Accepted by IEEE Transactions on Geoscience and Remote Sensing, 2020. (SCI; 2018 Impact Factor: 5.63)
12. Junmin Liu*, Jing Ma, Rongrong Fei, Huirong Li, Jiangshe Zhang, ``Enhanced back-projection as postprocessing for pansharpening,’’ Remote Sensing, 11(6): 712, 2019. (SCI; 2017 Impact Factor: 3.406)
13. Jiangshe Zhang, Junying Hu, Junmin Liu, ``Neural Network with Multiple Connection Weights,'' Pattern Recognition, 107: 10748, 2020. 
14. Zixiang Zhao, Shung Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang*, et al. ``DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion,'' Accepted by International Joint Conferences on Artificial Intelligence (IJCAI), 2020. 
15. Jiangshe Zhang, Cong Ma, Junmin Liu, Guang Shi, ``Penetrating the influence of regularizations on neural network based on information bottleneck theory,'' Neurocomputing, 393: 76-82, 2020.
16. Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang. Bayesian Fusion for Infrared and Visible Images. Signal Processing, vol. 177, art. no. 107734, Dec. 2020.
17. Rongrong Fei, Jiangshe Zhang*, Junmin Liu*, et al, "Convolutional sparse representation of injected details for pansharpening", Accepted by IEEE Geoscience and Remote Sensing Letters, 2019. (SCI; Supplementary Materials: CSRD_ADD.pdf; 2017 Impact Factor: 2.892)
18. Rongrong Fei, Jiangshe Zhang*, Junmin Liu*, et al, "Manifold regularized Sparse Representation of Injected Details for Pansharpening", Accepted by International Journal of Remote Sensing, 2019.  (SCI; 2017 Impact Factor: 1.782)
19. Bao Guo, Chunxia Zhang, Junmin Liu*, Xiaoyi Ma, ``Improving text classification with weighted word embeddings via multichannel TextCNN,'' Neurocomputing, 363: 366-374, 2019.
20. Zengjie Song, Jiangshe Zhang*, Guang Shi, Junmin Liu, ``Fast Inference Predictive Coding: A Novel Model for Constructing Deep Neural Networks,’’ IEEE Transactions on Neural Networks and Learning Systems, 30(4): 1150-1165, 2019. (SCI; 2017 年影响因子：7.982)
21.  Kai Sun, Jiangshe Zhang*, Hongwei Yong, Junmin Liu, "FPCANet: Fisher discrimination for Principal Component Analysis Network" , Knowledge-Based Systems, 166: 108-117, 2019. (SCI; 2017 年影响因子：4.396)
22. Changsheng Zhou, Jiangshe Zhang*,  Junmin Liu, ``Lp-WGAN: Accelerate and Stabilize WGAN via Normalizing Weights'',  Knowledge-Based Systems, 161: 415-424, 2018. (SCI; 2017 年影响因子：4.396)
23. Junmin Liu, et al., ``Locally linear details injection model for pansharpening,’’ IEEE Access, 5: 9728-9738, 2017. (SCI; 2017 Impact Factor: 3.557)
24. Huirong Li, Jiangshe Zhang, Guang Shi, Junmin Liu, ``Graph-based discriminative nonnegative matrix factorization with label information,’’ Neurocomputing, 266, 91-100, 2017. 
25. Jiangshe Zhang, Nannan Ji, Junmin Liu, Jiyuan Pan, Deyu Meng, “Enhancing Performance of the Backpropagation Algorithm via Sparse Response Regularization,” Neurocomputing, 153: 20-40, 2015.  (SCI; 2017 年影响因子：3.241)
26. Junmin Liu*, Shunlin Liang, ``Pansharpening Using a Guided Filter,’’ International Journal of Remote Sensing, 37(8): 1777-1800, 2016. (SCI; 2017 Impact Factor: 1.782)
27. Yee Leung, Junmin Liu, Jiangshe Zhang, “An Improved Adaptive Intensity-Hue-Sateration Method for the Fusion of Remote Sensing Images,” IEEE Geoscience and Remote Sensing Letters, 11(5): 985-989, 2014. (SCI; 2014 Impact Factor: 2.095)
28. Junmin Liu*, Jiangshe Zhang, Yuelin Gao, Chunxia Zhang, and Zhihua Li, "Enhancing Spectral Unmixing by Local Neighborhood Weights," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5(5): 1545-1552, 2012. (SCI;  2014 Impace Factor: 3.026)
29. Junmin Liu*, Jiangshe Zhang, "A New Maximum Simplex Volume Method based on Householder Transformation for Endmember Extraction", IEEE Transactions on Geoscience and Remote Sensing, 50(1): 104-118, 2012. (SCI;  2014 Impace Factor: 3.514)
30. Junmin Liu*, Jiangshe Zhang, "Analysis and Acceleration Strategy of Endmember Extraction Algorithms based on Convex Geometry," International Journal of Remote Sensing, 33(21): 6722-6748, 2012. (SCI;  2014 Impace Factor: 1.652)
31. Junmin Liu, Jiangshe Zhang*, "Spectral Unmixing via Compressive Sensing," IEEE Transactions on Geoscience and Remote Sensing, 52(11): 7099-7110, 2014. (SCI;  2014 Impace Factor: 3.514)
32. Huirong Li, Jiangshe Zhang, Guang Shi, Junmin Liu, "Graph-based discriminative nonnegative matrix factorization with label information", Neurocomputing, 266： 91-100, 2017. (SCI; 2014 Impact Factor: 2.083)
33. Huirong Li, Jiangshe Zhang, Junmin Liu, "Graph-regularized CF with local coordinate for image representation", Journal of Visual Communication and Image Representation, 49: 392-400, 2017. (SCI; 2014 Impact Factor: 2.083)
34. Huirong Li, Jiangshe Zhang, Junmin Liu, "Graph-based discriminative concept factorization for data representation", Knowledge-Based Systems, 118: 70-79, 2017.
35. Huirong Li, Jiangshe Zhang, Junmin Liu, “Class-Driven Concept Factorization for Image Representation”, Neurocomputing, 42(3): 278-292, 2016. (SCI; 2014 Impact Factor: 2.083)
36. Junmin Liu, Yijun Chen, Jiangshe Zhang, and Zongben Xu, ”Enhancing Low-Rank Subspace Clustering by Manifold Regularization,” IEEE Transactions on Image Processing, 23(9): 4022-4030, 2014. (SCI; 2014 Impact Factor: 3.625)
37. Shengcai Liu, Jiangshe Zhang, Junmin Liu*, Qingyan Yin, ``L_{1/2,1} group sparse regularization for compressive sensing,’’ Signal, Image and Video Processing, 10: 861–868, 2016. (SCI; 2014 Impact Factor: 1.430)
38. Zengjie Song, Jiangshe Zhang, Junmin Liu, "No-Reference Image Quality Assessment Using Image Saliency for JPEG Compressed Images", Journal of Imaging Science and Technology, 2016.
39. Chunxia Zhang*, Guanwei Wang, Junmin Liu, ``RandGA: injecting randomness into parallel genetic algorithm for variable selection,’’ Journal of Applied Statistics, 42(3): 630-647, 2015. (SCI; 2014 Impact Factor: 0.445)
40. Yuelin Gao, Junmin Liu, "A modified differential evolution algorithm and its application in the training of BP neural network", IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2008.