Xu, Liu (刘旭)

alt text 

Master Student,
School of Computer Science and Information Engineering,
Hefei University of Technology,
No. 485 Danxia Road,
Hefei 230601, China
E-mail: dalong.xu.liu@ieee.org, student member of the IEEE (S21' - )

About Me

Xu Liu received the B.E. degree in electronic and information engineering from Liaoning Technical University, Huludao, China, with a minor in data science and big data technology (Tencent Premier Class) from Tencent Cloud Computing (Beijing) Company Ltd, Shanghai Motong Huakai Education Technology Company Ltd., and Liaoning Technical University, Huludao, China, jointly, in 2022. He is currently pursuing the M.E. degree in information and communication engineering with the School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China. He is a reviewer of IEEE TCSVT, TII, TIM, SPL and Scientific Reports, The Visual Computer, Multimedia Systems, Machine Vision and Applications, PRCV. His research interests include deep learning and computer vision.

Research

  • Image/Video Processing

Recent Publications

  1. Xu Liu, Yang Zhao*, Kaichen Chi, Zhao Zhang, Yanxiang Chen and Wei Jia, "Towards Individual Tone Preference in Underwater Image Enhancement",

    IEEE Transactions on Geoscience and Remote Sensing, 2024, doi: 10.1109/TGRS.2024.3485030. [pdf][code]

  2. Yonghua Tang, Xu Liu*, Zhipeng Zhang, and Sen Lin, "Adaptive Underwater Image Enhancement Guided by Generalized Imaging Components",

    IEEE Signal Processing Letters, 2023, doi: 10.1109/LSP.2023.3336578. [pdf][code]

  3. Xu Liu, Sen Lin*, and Zhiyong Tao, "Learning multiscale pipeline gated fusion for underwater image enhancement",

    Multimedia Tools and Applications, 2023, doi: 10.1007/s11042-023-14687-5. [pdf]

  4. Xu Liu, Sen Lin*, Kaichen Chi, Zhiyong Tao, and Yang Zhao, "Boths: Super Lightweight Network-Enabled Underwater Image Enhancement",

    IEEE Geoscience and Remote Sensing Letters, 2022, doi: 10.1109/LGRS.2022.3230049. [pdf][code]

  5. 刘旭, 林森*, 陶志勇, "全局特征双注意力融合对抗网络的水下图像增强",

    电光与控制, 2022, doi: 10.3969/j.issn.1671-637X.2022.07.008. [pdf]

  6. 林森, 刘旭*, "门控融合对抗网络的水下图像增强",

    图学学报, 2021, doi: 10.11996/JG.j.2095-302X.2021060948. [pdf]

Note: * indicates the corresponding author.

Full list of publications in Google Scholar.

Education

M.E., Information and Communication Engineering, School of Computer Science and Information Engineering, Hefei University of Technology, 2022-

  • Main Courses: Deep Learning, Design of Neural Networks, Digital Image Processing, Pattern Recognition.

B.E., Electronic and Information Engineering, School of Electronic and Information Engineering, Liaoning Technical University, 2018-2022

  • Main Courses: Digital Signal Processing, Principle of Communication, Embedded Systems.

B.E., Data Science and Big Data Technology (Tencent Premier Class), Tencent Cloud Computing (Beijing) Company Ltd, Shanghai Motong Huakai Education Technology Company Ltd, School of Software Engineering/Artificial Intelligence, Liaoning Technical University, 2019-2022

  • Main Courses: Hadoop, Hive, Linux Systems.

First-Year Undergraduate, Safety Engineering, School of Safety Science and Engineering, Liaoning Technical University, 2018-2019

  • Main Courses: Engineering Drawing, Safety Science Theory.