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ORCIDJun Tan 0001
Person information
- affiliation (PhD 2013): Sun Yat-sen University, School of Mathematics, Guangdong Province Key Laboratory of Computational Science, Guangzhou, China
Other persons with the same name
- Jun Tan — disambiguation page
- Jun Tan 0002 — Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, GA, USA
- Jun Tan 0003 — Oakland University, Department of Computer Science and Engineering, Rochester, MI, USA
- Jun Tan 0004 — Nokia of America Corporation, Standardization Research, Nokia Bell Labs, Naperville, IL, USA
- Jun Tan 0005 — University of Wisconsin-Milwaukee, Department of Electrical Engineering and Computer Science, WI, USA (and 1 more)
- Jun Tan 0006
![[0000-0002-3236-7275]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-3236-7275")
— Central South University, Changsha, Hunan, China - Jun Tan 0007 — Ocean University of China, College of Geoscience, Qingdao, China
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2020 – today
- 2024
[c22]Yanlin Deng, Jingwen Ling, Xiaqing Rao, Jun Tan, Xiaoyong Fu, Sheng Li:
An Improved Pix2Pix GAN for Medical Image Generation. ANNPR 2024: 99-110- [c21]Zizhen Ji, Rui Chen, Pinyu Qiu, Xiaoyong Fu, Sheng Li, Jun Tan:
A Diffusion Model Embedded WCSAU-Net for 3D MRI Brain Tumor Segmentation. LDTM/MMMI/ML4MHD/ML-CDS@MICCAI 2024: 124-135 - 2023
- [c20]Chunyi Wang, Hurunqi Luo, Xiaqing Rao, Wei Hu, Ning Bi, Jun Tan:
Relative Position Embedding Asymmetric Siamese Network for Offline Handwritten Mathematical Expression recognition. ICDAR (1) 2023: 117-133 - 2022
- [c19]Qiqiang Lin, Xiaonan Huang, Ning Bi, Ching Y. Suen, Jun Tan:
CCLSL: Combination of Contrastive Learning and Supervised Learning for Handwritten Mathematical Expression Recognition. ACCV (2) 2022: 577-592 - [c18]Xiaonan Huang, Ning Bi, Jun Tan:
Visual Transformer-Based Models: A Survey. ICPRAI (2) 2022: 295-305 - [c17]Shiqi Liang, Ning Bi, Jun Tan:
Scene Text Recognition: An Overview. ICPRAI (1) 2022: 323-334 - [c16]Qiqiang Lin, Chunyi Wang, Ning Bi, Ching Y. Suen, Jun Tan:
An Encoder-Decoder Approach to Offline Handwritten Mathematical Expression Recognition with Residual Attention. ICPRAI (1) 2022: 335-345 - [c15]Jinglin Wu, Shiqi Liang, Ning Bi, Jun Tan:
Attention Embedding ResNet for Pest Classification. ICPRAI (1) 2022: 591-602 - 2020
- [c14]Jiashu Huang, Jun Tan, Ning Bi:
Overview of Mathematical Expression Recognition. ICPRAI 2020: 41-54 - [c13]Fukeng He, Jun Tan, Ning Bi:
Handwritten Mathematical Expression Recognition: A Survey. ICPRAI 2020: 55-66 - [c12]Danfeng Zhang, Jun Tan:
Application of Deep Learning for Online Handwritten Mathematical Expression Recognition: A Review. ICPRAI 2020: 115-124 - [c11]Hong Lin, Jun Tan:
Application of Deep Learning in Handwritten Mathematical Expressions Recognition. ICPRAI 2020: 137-147 - [c10]Xinyi Li, Ning You, Jun Tan, Ning Bi:
Differences and Similarities Learning for Unsupervised Feature Selection. ICPRAI 2020: 276-292 - [c9]Mengyao Huo, Jun Tan:
Overview: Research Progress on Pest and Disease Identification. ICPRAI 2020: 404-415 - [c8]Peizhi Zeng, Jun Tan:
Overview of Crowd Counting. ICPRAI 2020: 500-512
2010 – 2019
- 2019
- [j6]Ning Bi, Jiahao Chen, Jun Tan:
The Handwritten Chinese Character Recognition Uses Convolutional Neural Networks with the GoogLeNet. Int. J. Pattern Recognit. Artif. Intell. 33(11): 1940016:1-1940016:12 (2019) - [j5]Ning Bi, Ching Y. Suen, Nicola Nobile, Jun Tan:
A multi-feature selection approach for gender identification of handwriting based on kernel mutual information. Pattern Recognit. Lett. 121: 123-132 (2019) - [c7]Zelin Hong, Ning You, Jun Tan, Ning Bi:
Residual BiRNN Based Seq2Seq Model with Transition Probability Matrix for Online Handwritten Mathematical Expression Recognition. ICDAR 2019: 635-640 - 2018
- [j4]Ning Bi, Jun Tan, Jian-Huang Lai, Ching Y. Suen:
High-dimensional supervised feature selection via optimized kernel mutual information. Expert Syst. Appl. 108: 81-95 (2018) - [c6]Haiqing Zhu, Ning Bi, Jun Tan, Dongjie Fan:
An Embedded Method for Feature Selection Using Kernel Parameter Descent Support Vector Machine. PRCV (3) 2018: 351-362 - [c5]Yiqing Zheng, Xiaolu Hu, Ning Bi, Jun Tan:
A Modified PSRoI Pooling with Spatial Information. PRCV (2) 2018: 440-445 - 2016
- [c4]Jun Tan, Ning Bi, Ching Y. Suen, Nicola Nobile:
Multi-feature Selection of Handwriting for Gender Identification Using Mutual Information. ICFHR 2016: 578-583 - 2014
- [j3]Jun Tan, Xianping Guo, Wei-Shi Zheng, Ming Zhong:
Case-based teaching using the Laboratory Animal System for learning C/C++ programming. Comput. Educ. 77: 39-49 (2014) - 2013
- [c3]Jun Tan, Jian-Huang Lai, Wei-Shi Zheng, Ming Zhong:
Chinese Handwritten Writer Identification based on Structure Features and Extreme Learning Machine. AFHA 2013: 21-25 - 2012
- [j2]Jun Tan, Jian-Huang Lai, Chang-Dong Wang, Wen-Xian Wang, Xiao-Xiong Zuo:
A new handwritten character segmentation method based on nonlinear clustering. Neurocomputing 89: 213-219 (2012) - [j1]Jun Tan, Xiaohua Xie, Wei-Shi Zheng, Jian-Huang Lai:
Radical Extraction Using Affine Sparse Matrix Factorization for Printed Chinese Characters Recognition. Int. J. Pattern Recognit. Artif. Intell. 26(3) (2012) - [c2]Jun Tan, Jian-Huang Lai, Wei-Shi Zheng, Ching Y. Suen:
A Novel Approach for Stroke Extraction of Off-Line Chinese Handwritten Characters Based on Optimum Paths. ICFHR 2012: 786-790 - [c1]Jun Tan, Jian-Huang Lai, Xiao-Xiong Zuo:
The dataset system of Economic Dispute handwritten (DSEDH) based on stroke shape and structure features. ICPR 2012: 661-664
Coauthor Index
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