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ORCIDGuoJun Liu
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- affiliation: Harbin Institute of Technology, China
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2020 – today
- 2023
[j14]Yang Chen
, Zhuchen Shao, Hao Bian, Zijie Fang, Yifeng Wang, Yuanhao Cai, Haoqian Wang, GuoJun Liu, Xi Li, Yongbing Zhang:
dMIL-Transformer: Multiple Instance Learning Via Integrating Morphological and Spatial Information for Lymph Node Metastasis Classification. IEEE J. Biomed. Health Informatics 27(9): 4433-4443 (2023)- 2020
- [j13]Yang Li, Yang Liu, GuoJun Liu, Maozu Guo:
Weakly supervised semantic segmentation by iterative superpixel-CRF refinement with initial clues guiding. Neurocomputing 391: 25-41 (2020)
2010 – 2019
- 2019
- [j12]Donghua Yu, GuoJun Liu, Maozu Guo, Xiaoyan Liu, Shuang Yao:
Density Peaks Clustering Based on Weighted Local Density Sequence and Nearest Neighbor Assignment. IEEE Access 7: 34301-34317 (2019) - [j11]Maozu Guo, Donghua Yu, GuoJun Liu, Xiaoyan Liu, Shuang Cheng:
Drug-target interaction data cluster analysis based on improving the density peaks clustering algorithm. Intell. Data Anal. 23(6): 1335-1353 (2019) - [j10]GuoJun Liu, Yang Liu, Maozu Guo, Peng Li, Mingyu Li:
Variational inference with Gaussian mixture model and householder flow. Neural Networks 109: 43-55 (2019) - 2018
- [j9]Donghua Yu, GuoJun Liu, Maozu Guo, Xiaoyan Liu:
An improved K-medoids algorithm based on step increasing and optimizing medoids. Expert Syst. Appl. 92: 464-473 (2018) - [j8]Yang Li, Yang Liu, GuoJun Liu, Deming Zhai, Maozu Guo:
Weakly supervised semantic segmentation based on EM algorithm with localization clues. Neurocomputing 275: 2574-2587 (2018) - [j7]Zhiyong Pan, Yang Liu, GuoJun Liu, Maozu Guo, Yang Li:
Topic network: topic model with deep learning for image classification. J. Electronic Imaging 27(03): 033009 (2018) - [j6]Zhiyong Pan, Yang Liu, GuoJun Liu, Maozu Guo, Mingyu Li:
Spatial topic pyramid model: topic model with regional spatial information. J. Electronic Imaging 27(05): 053025 (2018) - [c5]Deming Zhai, Ao Li, Yang Li, Yang Liu, GuoJun Liu, Xianming Liu, Maozu Guo:
Discrete Manifold-Regularized Collaborative Filtering for Large-Scale Recommender Systems. PCM (1) 2018: 513-523 - 2017
- [j5]Ziang Cheng, Yang Liu, GuoJun Liu:
A new primal-dual algorithm for multilabel graph-cuts problems with approximate moves. Comput. Vis. Image Underst. 165: 75-84 (2017) - 2016
- [j4]Pan Li, Yang Liu, GuoJun Liu, Maozu Guo, Zhiyong Pan:
A robust local sparse coding method for image classification with Histogram Intersection Kernel. Neurocomputing 184: 36-42 (2016) - 2015
- [j3]GuoJun Liu, Xianglong Tang, Maozu Guo, Yang Liu:
Harmonious competition learning for Gaussian mixtures. Neurocomputing 170: 228-239 (2015) - [c4]GuoJun Liu, Yang Liu, Maozu Guo, Peina Liu, Chun-yu Wang:
Non-negative Locality-Constrained Linear Coding for Image Classification. IScIDE (1) 2015: 462-471 - [c3]Zhiyong Pan, Yang Liu, GuoJun Liu, Maozu Guo, Yang Li:
Topic Network: Topic Model with Deep Learning for Image Classification. KSEM 2015: 525-534 - 2013
- [c2]GuoJun Liu, Xianglong Tang:
Harmonious Competition Learning for Gaussian Mixtures. IScIDE 2013: 385-392
2000 – 2009
- 2009
- [j2]GuoJun Liu, Xianglong Tang:
Tracking High Speed Skater by Using Multiple Model. Comput. Inf. Sci. 2(1): 126-131 (2009) - [j1]GuoJun Liu, Xianglong Tang, Heng-Da Cheng, Jianhua Huang, Jiafeng Liu:
A novel approach for tracking high speed skaters in sports using a panning camera. Pattern Recognit. 42(11): 2922-2935 (2009) - 2007
- [c1]GuoJun Liu, Xianglong Tang, Jianhua Huang, Jiafeng Liu, Da Sun:
Hierarchical Model-Based Human Motion Tracking Via Unscented Kalman Filter. ICCV 2007: 1-8
Coauthor Index
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