Rongqun Lin

Rongqun Lin 林荣群

Mong Man-wai Building,City University of Hong Kong,
Tat Chee Avenue,Kowloon, Hong Kong, China.


[CV] [Google Scholar]



I am a PhD student at Department of Computer Science , City University of Hong Kong, and work with Prof. KWONG Tak Wu Sam and Dr. WANG, Shiqi . Before that I received B.E. degree from the College of Electrical Engineering and Automation, Fuzhou University, China, in Jul. 2014, and received M.Eng. degree under the supervision of Prof. Qionghai Dai and Prof. Yongbing Zhang from the Department of Automation, Tsinghua University, China, in Jul. 2017. From Aug. 2017 to Feb. 2018, I worked as an algorithm engineer in Saic-Anji AI Lab, SAIC Motor Corporation Limited. From Feb. 2018 to Feb. 2019, I am an algorithm engineer in Guangzhou Regentsoft Technology Col., Ltd.

My research interests broadly include deep learning, image restoration, model compression and video coding. And I am also interested in the applications with these technologies.


Research Experiences

Publications  Google Scholar

-Conference Papers

  1. Deep Video Compression for P-frame in Sub-sampled Color Spaces [PDF]
    Rongqun Lin, Pingping Zhang, Meng Wang, Shiqi Wang, Sam Kwong
    IEEE International Symposium on Circuits and Systems (ISCAS) 2022, May. 2022.

  2. Beyond Keypoint Coding: Temporal Evolution Inference with Compact Feature Representation for Talking Face Video Compression [PDF]
    Bolin Chen, Zhao Wang, Binzhe Li, Rongqun Lin, Shiqi Wang, and Yan Ye
    Data Compression Conference 2022, Mar. 2022.

  3. Towards Modality Transferable Visual Information Representation with Optimal Model Compression [PDF]
    Rongqun Lin, Linwei Zhu, Shiqi Wang, Sam Kwong
    ACM International Conference on Multimedia 2020, Oct. 2020.

  4. Deep Convolutional Neural Network for Decompressed Video Enhancement [PDF]
    Rongqun Lin, Yongbing Zhang, Haoqian Wang, Xingzheng Wang, Qionghai Dai
    Data Compression Conference (DCC), Mar. 2016.

  5. Depth Map Upsampling via Progressive Manner Based on Probability Maximization [PDF]
    Rongqun Lin, Yongbing Zhang, Haoqian Wang, Xingzheng Wang, Qionghai Dai
    Pacific Rim Conference on Multimedia(PCM), Sep. 2015.

Professional Activities

-Attend Conferences


Useful Links

Created on 2017/08/14. Last update : 2022/5/25