湖南大學

劉敏，男，1981年12月生。自動化系教授，博士生導師，電氣與信息工程學院副院長，機器人視覺感知與控制技術國家工程實驗室骨干，湖南省杰出青年基金獲得者。2004年和2007年分別獲北京大學信息學院本科、碩士學位，2012年獲得美國加州大學河濱分校電子工程博士學位，曾在美國加州大學圣巴巴拉分校和霍華德·休斯醫學院從事研究工作。研究領域主要有計算機視覺、模式識別和機器學習，擔任BMC Bioinformatics編委。

Min Liu is a Professor at Hunan University. He received his bachelor degree from Beijing University and PhD degree in Electrical Engineering from the University of California, Riverside in 2012. He was a research intern in HHMI Janelia Farm Research Campus and a research scientist at the University of California, Santa Barbara. His research interests include computer vision, pattern recognition and machine learning.

Email：liu_min@hnu.edu.cn

Selected Publications：

Shihui Liu, Wenbo Jiang, Lehui Wu, He Wen, Min Liu* and Yaonan Wang, "Real-time Classification of Rubber Wood Boards Using an SSR-based CNN", IEEE Transactions on Instrumentation & Measurement, 2020.

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, 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, 2019.

Min Liu*, Yalan Liu, Weili Qian and Yaonan Wang "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.

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*, Rong Gong, Weixun Chen, Hanchuan Peng, “3D neuron tip detection in volumetric microscopy images using an adaptive ray-shooting model”, Pattern Recognition, 2018.

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

Weixun Chen, Min Liu*, “An adaptive Ray-Shooting Model”, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018. (CCF B類會議，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類會議，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類會議，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類會議，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類會議，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.

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,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.

Min Liu and Amit K. Roy-Chowdhury, "Multilinear Feature Extraction and Classification of Multi-Focal Images, With Applications in Nematode Taxonomy", IEEE Computer Vision and Pattern Recognition (CVPR) 2010.

Anirban Chakraborty, Min Liu, Katya Mkrtchyan, Amit Roy-Chowhury and G. Venugopala Reddy, "Cell Volume Estimation from a Sparse Collection of Noisy Confocal Image Slices", Indian Conference on Computer Vision, Graphics and Image Processing 2010.

M. Liu, A. Roy-Chowdhury, M. Yoder and P. De Ley, "Multi-focal Nematode Image Classification Using the 3D X-Ray Transform", ICIP 2010.

Moses Tataw, Min Liu, Amit K. Roy-Chowdhury and G. Venugopala Reddy, "Pattern Analysis of Stem Cell Growth Dynamics in the Shoot Apex of Arabidopsis", ICIP 2010.

T. Jeng, B. Song, E. Staudt, M. Liu, A. Roy-Chowdhury and A. SenGupta, "Multi-Target Tracking Using Long-Term Stochastic Associations", ICIP 2010.

Min Liu, Amit K. Roy-Chowdhury and G. V. Reddy, "Robust Estimation of Stem Cell Lineages Using Local Graph Matching", CVPR, pp.194-201, 2009.

Min Liu, Amit K. Roy-Chowdhury and G. Venugopala Reddy, "Exploiting Local Structure for Tracking Plant Cells in Noisy Images", ICIP 2009.