Qunliang Xing

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Qunliang Xing received his Ph.D. in Engineering from Beihang University in 2025, where he was advised by Professor Mai Xu. He also completed a university-level honors program during his Ph.D. studies. He previously received his BEng from Beihang University in 2019 and completed the undergraduate honors program.

His research interests include Computer Vision and Multimedia. He has published several papers in top journals and conferences such as IEEE TPAMI and CVPR, including highly cited papers recognized by the Essential Science Indicators (ESI). His publications have received over 600 citations. He has won two NTIRE championships. His open-source projects have garnered more than 800 stars. He was selected for the Tencent Rhino-bird Open-source Training Program and recognized as an OpenMMLab Active Contributor. He serves as a reviewer for CVPR, TIP, and other venues.

Outside academia, he also excels in sports, having placed second in the Beihang 100m final and led the school soccer team to two championship titles as captain.

• Ph.D. in Engineering (2019.9–2025.6)
  Advised by Changjiang Distinguished Professor Mai Xu
  School of Electronic Information Engineering, Beihang University
  Completed the Ph.D. honors program under Shen-Yuan Honors College
• B.S. in Engineering (2015.9–2019.6)
  School of Electronic Information Engineering, Beihang University
  Completed the undergraduate honors program under Shen-Yuan Honors College
• High School (2012.9–2015.6)
  Shenzhen Nanshan Foreign Language School
  Admitted to Beihang University as the top scorer in Guangdong Province, China

• Reviewer (Year of First Review)
  • IEEE TIP (2021), IEEE TMM (2021), IEEE TCSVT (2022), IEEE/CAA JAS (2022), ACM CSUR (2025)
  • ICME (2021), CVPR (2024), AAAI (2025), ICCV (2025)
• Research Intern
  • Video Quality Enhancement @ Tao Technology, Alibaba Group (2021.12–2023.12)
    🏆 Winner of the CVPR NTIRE challenge
  • Tencent Rhino-bird Open-source Training Program @ Tencent (2021.7–2021.9)
    Selected as one of the 127 participants from over 1,800 applicants
  • Video Quality Enhancement for HW.265 Codec @ 2012 Lab, Huawei (2018.12–2019.12)
• Student Works
  • Mentor of Undergraduates @ Shen-Yuan Honors College, Beihang University (2020.10–2021.10)
    Selected as an excellent mentor (Top 25%)
  • Teaching Assistant for “Introduction to Machine Learning” @ Beihang University (2020.9–2021.1)

Co-first* Corresponding‡
• Breaking the multi-enhancement bottleneck: Domain-consistent quality enhancement for compressed images
  Q. Xing, M. Xu, J. Yang, S. Li
  arXiv 2025
• Beyond RGB: Enhancing JPEG images by exploiting latent correlations in the DCT domain
  J. Yang, Q. Xing, M. Xu, M. Qiao
  arXiv 2025
• Uncover treasures in DCT: Advancing JPEG quality enhancement by exploiting latent correlations
  J. Yang*, Q. Xing*, M. Xu, M. Qiao
  ICCV 2025
• MarsSQE: Stereo quality enhancement for Martian images using bi-level cross-view attention
  M. Xu, Y. Zhu, Q. Xing‡, J. Yang, X. Zou
  arXiv 2024
• MarsQE: Semantic-informed quality enhancement for compressed Martian image
  C. Liu, M. Xu, Q. Xing, X. Zou
  arXiv 2024
• Enhancing quality of compressed images by mitigating enhancement bias towards compression domain
  Q. Xing, M. Xu, S. Li, X. Deng, M. Zheng, H. Liu, Y. Chen
  CVPR 2024
• DAQE: Enhancing the quality of compressed images by exploiting the inherent characteristic of defocus
  Q. Xing, M. Xu, X. Deng, Y. Guo
  IEEE TPAMI 2023
• Progressive training of a two-stage framework for video restoration
  Q. Xing*, M. Zheng*, M. Qiao*, M. Xu, L. Jiang, H. Liu, Y. Chen
  NTIRE with CVPR 2022
  🏆 Winning method in the NTIRE challenge
• DeepQTMT: A deep learning approach for fast QTMT-based CU partition of intra-mode VVC
  T. Li, M. Xu, R. Tang, Y. Chen, Q. Xing
  IEEE TIP 2021
• Early exit or not: Resource-efficient blind quality enhancement for compressed images
  Q. Xing, M. Xu, T. Li, Z. Guan
  ECCV 2020
• MFQE 2.0: A new approach for multi-frame quality enhancement on compressed video
  Q. Xing, Z. Guan, M. Xu, R. Yang, T. Liu, Z. Wang
  IEEE TPAMI 2019
  🏆 Top 1% highly cited paper recognized by the Essential Science Indicators (ESI)

• National Invention Patent
  • CN120070281: Quality enhancement method, device, equipment, medium and product of binocular Mars image
  • CN119963422: Image quality enhancement method, device, equipment and medium based on DCT domain
  • CN118840290: Compressed Mars image quality enhancement method and device based on semantic prior
  • CN111415311: Resource-saving image quality enhancement model
• Software Copyright
  • 2020SR0404831: Resource-efficient quality enhancement system for HEVC based on early-exit mechanism V1.0
  • 2020SR0472737: Multi-frame video quality enhancement system V2.0

• Outstanding Graduate of Beijing, 2025
  Ranked top 5% among all graduates; one of only two recipients selected from the EIE School
• Beihang Shen-Yuan Medal, 2024
  🏆 Highest student award at Beihang University; Awarded annually to 10 Ph.D. students
• China National Scholarship, 2023
• Beihang Academic Excellence Fund for Ph.D. Candidates, 2023
  Ranked 1st out of 96 in the EIE School
  Completed in 2024
• Scientific Research Role Model, Shen-Yuan Honors College, Beihang University, 2023
  Ranked 1st out of 33 in the college
• Glarun Scholarship by the 14th Research Institute, CETC, 2022
  Among four awardees from 96 students in the EIE School
• Beihang Excellent Graduate, 2019
  Top 20% in the university
• Beihang Outstanding/Merit Student, 2015/2018/2021/2022
  Top 5% in the university
• Shenzhen Merit Student, 2014
  🏆 Sole awardee in the high school

• Winner of the CVPR NTIRE challenge on Super-Resolution and Quality Enhancement of Compressed Video, 2022
• OpenMMLab Active Contributor, 2022

• Beihang Soccer Super Cup champion (as the starting center-back), 2023
• Runner-up in the 100m final at the Beihang Sports Day, 2022
• Soccer Championship at the Beihang Sports Festival (as the starting center-back), 2017

Thanks to Jon Barron for sharing the source code of his site