2004年和2007年分别获北京大学电子信息科学与技术系本科、硕士学位，2012年获得美国加州大学河滨分校电子工程博士学位

曾在美国加州大学圣巴巴拉分校和霍华德·休斯医学院从事研究工作。

Yinghui Tan, Min Liu*,Weixun Chen, Xueping Wang, Hanchuan Peng, Yaonan Wang,“DeepBranch: Deep Neural Networks for Branch Point Detection in Biomedical Images”,IEEE Transactions on Medical Imaging （IF 7.8), 2019.

Min Liu*, Weixun Chen, Chao Wang, Hanchuan Peng, "A Multiscale Ray-Shooting Model for Termination Detection of Tree-Like Structures in Biomedical Images", IEEE Transactions on Medical Imaging (IF 7.8), 2019.

Min Liu*, Yalan Liu, "DeepSeed Local Graph Matching for Densely Packed Cells Tracking", IEEE/ACM Transactions on Computational Biology and Bioinformatics,2019.

Wenbo Jiang, Lehui Wu, Shuihui Liu, Min Liu*, "CNN-Based Two-Stage Cell Segmentation Improves Plant Cell Tracking", Pattern Recognition Letters, 2019.

Weixun Chen, Min Liu*, “An adaptive Ray-Shooting Model”, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018. (CCF B类会议，接受率19%)

Min Liu*, Huiqiong Luo, “Improved V-Net Based Image Segmentation for 3D Neuron Reconstruction”, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018. (CCF B类会议，接受率19%)

Chao Wang, Min Liu*, “Automatic 3D Neuron Tracing Based on Detection”, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018. (CCF B类会议，接受率19%)

Min Liu, Chao Wang, “3D Neurite Branch Points Detection in Microscopy Images”, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018. (CCF B类会议，接受率19%)

Min Liu, Lehui Wu, “Cell Tracking Across Noisy Image Sequences Via Faster R-CNN”, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018. (CCF B类会议，接受率19%)

Min Liu, Yalan Liu, “A Local Graph Matching Model For Tracking of Densely Packed Cells”, IEEE International Conference on Acoustics, Speech and Signal Processing, 2018.

Min Liu, Xueping Wang “Multi-view Deep Metric Learning for Volumetric Image Recognition”, IEEE International Conference on Multimedia and Expo, 2018.

Min Liu, Yue He, Weili Qian, Yangliu Wei, and Xiaoyan Liu, “Cell Population Tracking in a Honeycomb Structure Using an IMM Filter Based 3D Local Graph Matching Model”, IEEE/ACM Transactions On Computational Biology and Bioinformatics, 2018.

Min Liu, “Taxonomy of multi-focal nematode image stacks by a CNN based image fusion approach”, Computer Methods and Programs in Biomedicine, 2018.

Zhigang Ling, Xiuxin Li, Wen Zou, Min Liu, “Joint Haze-Relevant Features Selection and Transmission Estimation Via Deep Belief Network for Efficient Single Image Dehazing”, International Conference on Pattern Recognition, 2018.

Yinghui Tan, Min Liu*, “Convolutional Neural Network Cascade Based Neuron Termination Detection in 3D Image Stacks”, IEEE International Conference on Image Processing, 2018.

Min Liu, Keran Liu, “Local Neuron Radius Estimation in Volumetric Microscopy Images”, IEEE International Conference on Image Processing, 2018.

Min Liu, Jieqin Li, “A multi-seed dynamic local graph matching model for tracking of densely packed cells across unregistered microscopy image sequences”, Machine Vision and Applications, 2018.

Weili Qian, Yangliu Wei, Xueping Wang, Min Liu*, “Convolutional Features-Based CRF Graph Matching for Tracking of Densely Packed Cells”, IEEE International Conference on Pattern Recognition, 2018.

Min Liu, Rong Gong, Weixun Chen, Hanchuan Peng, “3D neuron tip detection in volumetric microscopy images using an adaptive ray-shooting model”, Pattern Recognition, 2017.

Min Liu,Xueping Wang, Hongzhong Zhang, “Classification of multi-focal images by an information fusion based approach”, Pattern Recognition Letters, 2017.

M. Liu, Y. He, Y. Wei, “Plant Cell Tracking Using Kalman Filter Based Local Graph Matching”, Image and Vision Computing, 2017.

Min Liu, Yangliu Wei, Weili Qian, Hongzhong Zhang, "Robust Plant Cell Tracking in Noisy Image Sequences", IEEE Signal Processing Letters, 2017.

Min Liu, Xueping Wang, Keran Liu, Xiaoyan Liu, “Nematode image taxonomy using a projection based multilinear method”, Machine Vision and Applications, 2017.

M. Liu, P. Xiang, G. Liu, “Robust Plant Cell Tracking Using Local Spatial-Temporal Context”, Neurocomputing, vol. 208, no.10, pp.309-314, 2016.

Min Liu, Xueping Wang, Xiaoyan Liu, “CLASSIFICATION OF MULTI-FOCAL NEMATODE IMAGE STACKS”, IEEE International Conference on Image Processing (ICIP) 2017 (ORAL).

Min Liu, Yue He, Jieqin Li, et al, “FILTER BASED LOCAL GRAPH MATCHING FOR PLANT CELL LINEAGE ESTIMATION”, IEEE International Conference on Image Processing (ICIP) 2017 (ORAL).

Min Liu, Xueping Wang, Hongzhong Zhang, “A MULTI-DIRECTION IMAGE FUSION BASED APPROACH FOR CLASSIFICATION OF MULTI-FOCAL NEMATODE IMAGE STACKS”, IEEE International Conference on Image Processing (ICIP) 2017.

Weixun Chen, Min Liu*, Rong Gong, “DISTANCE TRANSFORM BASED TIP POINT DETECTION METHOD FOR NEURONS IN CONFOCAL MICROSCOPY IMAGES”, IEEE International Conference on Multimedia and Expo (ICME) 2017.

Y. Yang, Y. Wang, Q. M. J. Wu, X. Lin, M. Liu, “Progressive Learning Machine: A New Approach for General Hybrid System Approximation”, IEEE transactions on neural networks and learning systems, vol. 26, no. 9, pp. 1855-1874, 2015.

K. Mkrtchyan, A. Chakraborty, M. Liu, A. Roy-Chowdhury, “Automatic Image Analysis Pipeline for Studying Growth in Arabidopsis”, Video Bioinformatics, vol. 10, no.5, pp. 215-236, 2015.

M. Liu, A. Chakraborty, R. Yadav, G. Meenakshisundaram, G. V. Reddy and A. Roy-Chowdhury, "Adaptive Cell Segmentation and Tracking for Volumetric Confocal Microscopy Images of A Developing Plant Meristem", Molecular Plant,Vol.4, No.5, pp.922-931, 2011. (IF=10.8)

Min Liu, Amit K. Roy-Chowdhury and G. Venugopala Reddy, "Automated Tracking of Stem Cell Lineages of Arabidopsis Shoot Apex Using Local Graph Matching", The Plant Journal,Vol.62, pp.135-147, 2010.

A. Chakraborty, R. Yadav, M. Liu, M. Tataw, K. Mkrtychan, A. Roy-Chowdhury, G. V. Reddy, "Computational Tools for Quantitative Analysis of Cell Growth Patterns and Morphogenesis in Actively Developing Plant Stem Cell Niches", Plant Signaling Networks, 2012.
M. Liu, G. Yang, “Improved Reconstruction for Computer-Generated Hologram from Digital Image”, in: Proceedings of Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2013, pp. 1-4.
Min Liu, Hanchuan Peng, Amit K. Roy-Chowdhury and Eugene Myers,"3D Neuron Tip Detection in Volumetric Microscopy Images", IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2011.
K. Mkrtchyan, D. Singh, M. Liu, G. V. Reddy, A. Roy-Chowdhury, M. Gopi, "Efficient Cell Segmentation and Tracking of Developing Plant Meristem", IEEE International Conference on Image Processing (ICIP), 2011.