• Biography
• Education
• News
• Publications
• Projects
• Internship
• Awards
• Links

Xiaole Zhao (赵小乐)

Institude: Southwest Jiaotong University (SWJTU) Department: School of Computing and Artificial Intelligence Address: Xipu Campus, West Park of Chengdu High-tech Zone, 611756 | Chengdu, Sichuan, P.R.China Tel: +86-15881624882 Email: zxlation@foxmail.com | zxlation@swjtu.edu.cn [Homepage][Github][CV-ZH][CV-EN][]

I worked with Dr. Tao Zhang and Dr. Xueming Zou in the Key Laboratory for NeuroInformation of Ministry of Education, and received my Ph.D degree at School of Life Science and Technology, University of Electronic Science and Technology of China (UESTC), Chengdu, China. I am now an assistant professor in the school of information science and technology of Southwest Jiaotong University (SWJTU).

My research interest mainly focuses on digital image & video processing, machine learning & deep learning. Recently, I have been working on the low-level computer vision tasks of medical images with deep learning techniques, including image restoration and reconstruction, super-resolution, and recognition.

• 2016/09 ~ 2020/06: Ph.D Student in Biomedical Engineering
  School of Life Science and Technology, University of Electronic Science and Technology of China (UESTC), Chengdu, China


• 2013/09 ~ 2016/06: M.E Degree in Software Engineering
  School of Computer Science and Technology, Southwest University of Science and Technology (SWUST), Mianyang, China


• 2009/09 ~ 2013/06: B.S. Degree in Software Engineering
  School of Computer Science and Technology, Southwest University of Science and Technology (SWUST), Mianyang, China

Journal Papers

1. Multitask-Guided Deep Clustering With Boundary Adaptation [PDF]
   Xiaobo Zhang, Tao Wang, Xiaole Zhao, Dengmin Wen, Donghai Zhai
   IEEE Transactions on Neural Networks and Learning Systems (TNNLS) (IF: 10.4), doi:10.1109/TNNLS.2023.3307126, 2022


2. Single MR Image Super-Resolution via Channel Splitting and Serial Fusion Network [PDF]
   Xiaole Zhao, Yulun Zhang, Yun Qin, Qian Wang, Tao Zhang, and Tianrui Li
   Knowledge-Based Systems (KBS) (IF: 8.8), vol.246, pp.108669, 2022


3. Wide Weighted Attention Multi-Scale Network for Accurate MR Image Super-Resolution [PDF]
   Haoqian Wang, Xiaowan Hu, Xiaole Zhao, and Yulun Zhang
   IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT) (IF: 8.4), vol.32, no.3, pp.962-975, 2021


4. Channel splitting network for single MR image super-resolution [PDF][datasets (fetch code: kn3d)]
   Xiaole Zhao, Yulun Zhang, Tao Zhang, Xueming Zou
   IEEE Transactions on Image Processing (IEEE TIP) (IF: 10.6), vol.28, no.11, pp.5649-5662, 2019


5. Accurate MR image super-resolution via lightweight lateral inhibition network [PDF][code]
   Xiaole Zhao, Xiafei Hu, Ying Liao, Tian He, Tao Zhang, Xueming Zou, Jinsha Tian
   Computer Vision and Image Understanding (CVIU) (IF: 4.5), vol.201, pp.103075, 2020


6. Single image super-resolution via blind blurring estimation and dictionary learning [PDF]
   Xiaole Zhao,Yadong Wu, Jinsha Tian, Hongying Zhang
   Neurocomputing (IF: 6.0), vol.212, pp.3-11, 2016


7. Gibbs-ringing artifact suppression with knowledge transfer from natural images to MR images [PDF]
   Xiaole Zhao, Huali Zhang, Yuliang Zhou, Wei Bian, Tao Zhang, Xueming Zou
   Multimedia Tools and Applications (MTAP) (IF: 3.6), vol.79, no.45, pp.33711-33733, 2019


8. Single Image super-resolution via blind blurring estimation and anchored space mapping [PDF]
   Xiaole Zhao, Yadong Wu, Jinsha Tian, Hongying Zhang
   Computational Visual Media (CVM) (IF:6.9) (中国科技期刊卓越行动计划入选项目), vol.21, no.1, pp.71-85, 2016


9. FC²N: Fully channel-concatenated network for single image super-resolution [PDF] [code]
   Xiaole Zhao,Ying Liao, Ye Li, Tao Zhang, Xueming Zou
   arXiv PrePrint: https://arxiv.org/abs/1907.03221, 2019

Conference Papers

1. Pseudo 3D Auto-Correlation Network for Real Image Denoising [PDF]
   Xiaowan Hu, Zhihong Liu, Ruijun Ma, Yuanhao Cai, Haoqian Wang, Xiaole Zhao, Yulun Zhang
   The IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021), Virtual Event, Jun. 19 ~ 25, 2021:16175-16184.


2. Pyramid Orthogonal Attention Network based on Dual Self-Similarity for Accurate MR Image Super-Resolution [PDF]
   Xiaowan Hu, Haoqian Wang, Yuanhao Cai, Xiaole Zhao, and Yulun Zhang
   The International Conference on Multimedia and Expo (ICME 2021), Shenzhen, China, Jul. 5 ~ 9, 2021.


3. Isotropic MRI reconstruction with 3D convolutional neural network [PDF][Abstract]
   Xiaole Zhao, Xiafei Hu, Tao Zhang, Xueming Zou
   The International Society for Magnetic Resonance in Medicine (ISMRM 2020), Sydney, Australia, 2020.


4. A lightweight lateral inhibition network for single MR image super-resolution [PDF][Poster][Spotlight]
   Xiaole Zhao, Tao Zhang, Xueming Zou
   The 2020 International Conference on Intelligence Science and Big Data Engineering (ISCIDE 2019), Nanjing, China, Oct. 18 ~ 20, 2019.


5. Multilevel Residual Learning for Single Image Super Resolution [PDF][Poster]
   Xiaole Zhao, Hangfei Liu, Tao Zhang, Wei Bian, Xueming Zou
   Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2018), Guangzhou, China, pp. 537-549, Nov. 23 ~ 26, 2018.


6. Single Image Super-Resolution via Blind Blurring Estimation and Anchored Space Mapping [PDF]
   Xiaole Zhao, Yadong Wu, Jinsha Tian, Hongying Zhang
   The 4th International Conference on Computational Visual Media (CVM 2016), Cardiff University, UK, Apr. 6 ~ 8, 2016.


7. Single Image Super-Resolution via Blind Blurring Estimation and Dictionary Learning [PDF]
   Xiaole Zhao, Yadong Wu, Jinsha Tian, Hongying Zhang
   The 1st CCF Chinese Conference on Computer Vision (CCCV 2015), Xi'an, China, pp. 22-33, Sep. 18 ~ 20, 2015.

• Research on Super-Resolution Enhanced Medical Image Diagnosis based on Generative Adversarial Model (National Natural Science Foundation of China: 62102330)


• Unsupervised Super-Resolution Reconstruction for Medical Image Diagnosis (Fundamental Research Funds for the Central Universities: 2682021CX040)


• Research on Single Image Super-Resolution based on Blind Blurring Estimation and Anchor Space Mapping (Key Project of SWUST Innovation Fund: 15ycx053)


• Research on Image Super-Resolution Reconstruction: Models and Algorithms (Key Project of Sichuan Provincial Education Department: 11ZA130)

• 2015/04 ~ 2015/09: Intel (Chengdu Site)


• 2013/05 ~ 2013/09: China Academy of Engineering Physics (Mianyang)

• Sichuan outstanding master's degree graduates, Southwest University of Science and Technology, China, 2015


• National scholarship for graduate students, Southwest University of Science and Technology, China, 2015


• National scholarship for undergraduates, Southwest University of Science and Technology, China, 2010

• Collaborators: Yulun Zhang (Northeastern University, USA)


• Collaborators: Yapeng Tian (University of Rochester, USA)