Curriculum Vitae

Download Curriculum Vitae (PDF) (updated: 2025.6).

Education

• The University of Sydney.
  2020 – 2024, Ph.D., Electrical & Computer Engineering.
  
• The Chinese University of Hong Kong, Shenzhen.
  2015 – 2020, B.Eng., Computer Science and Engineering.
  

Honors

• Stanford University’s list of “World’s Top 2%” scientists (2024)
• Faculty of Engineering Career Advancement Award, The University of Sydney (2023)
• WAIC Yunfan Award, Rising Star Award (15 winners under the age of 30 worldwide, 2023)
• Huawei Camera, Academic Rising Star Award, Second Prize (2022)
• SenseTime Scholarship (Top 29 students selected from across China, 2019)
• SenseTime Research Intern Star (2018)
• SenseTime Outstanding Research Intern (2018)

Research Experience

• 2024.8 – 2025.5. Shenzhen University of Advanced Technology
  Research Assistant Professor.
• 2022.3 – 2024.7. Shanghai AI Laboratory
  Researcher. Mentor: Prof. Chao Dong.
• 2021.4 – 2022.9. Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS)
  Research Assistant. Mentor: Prof. Junhua Zhao.
• 2020.8 – 2022.4. SenseTime Research.
  Research Intern. Mentor: Dr. Jimmy S. Ren.
• 2020.3 – 2020.8. Platform and Content Group (PCG), Tencent. Applied Research Center
  Research Intern. Mentor: Dr. Ying Shan, Dr. Yu Li.
• 2019.11 – 2022.4. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. X-pixel Group
  Research Assistant. Advisor: Prof. Chao Dong.
• 2019.4 – 2019.11. The Chinese University of Hong Kong. Multimedia Laboratory
  Research Assistant. Advisor: Prof. Bolei Zhou.
• 2017.11 – 2019.4. SenseTime Research.
  Research Intern. Mentor: Prof. Chao Dong, Prof. Liang Lin and Dr. Jimmy S. Ren.
• 2017.6 – 2017.8. Shanghai Jiao Tong University.
  Research Assistant. Advisor: Prof. Xiaolin Wu.

Services

Area Chair:

• International Conference on Machine Learning (ICML), 2025
• Neural Information Processing Systems (NeurIPS), 2025
• ACM Multimedia Conference (ACM MM), 2025

Conference Reviewer:

• Neural Information Processing Systems (NeurIPS), 2020, 2021, 2022, 2023, 2024
• International Conference on Learning Representations (ICLR), 2021, 2022, 2023, 2024
• Conference on Computer Vision and Pattern Recognition (CVPR), 2021, 2022, 2023, 2024
• International Conference on Machine Learning (ICML), 2021, 2022, 2023, 2024
• International Conference on Computer Vision (ICCV), 2021, 2023
• European Conference on Computer Vision (ECCV), 2020, 2022, 2024
• Association for the Advancement of Artificial Intelligence (AAAI), 2022, 2023
• Winter Conference on Applications of Computer Vision (WACV), 2022

Journal Reviewer:

• Nature Communication
• IEEE, Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
• IEEE, Transactions on Image Processing (TIP)
• IEEE, Transactions on Multimedia (TMM)
• IEEE, Transactions on Circuits and Systems for Video Technology (TCSVT)
• IEEE, Transactions on Cybernetics (TCYB)
• IEEE, Transactions on Industrial Informatics (TII)
• IEEE, Transactions on Biometrics, Behavior, and Identity Science (TBIOM)
• IEEE, Journal of Selected Topics in Signal Processing (JSTSP)
• ACM, Transactions on Multimedia Computing, Communications and Applications (TOMM)
• Springer, International Journal of Computer Vision (IJCV)
• Springer, The Visual Computer (TVCJ)
• Elsevier, Computer Vision and Image Understanding (CVIU)
• Public Library of Science, PLOS One
• ReScience C

Events

Workshops:

• Co-organizer - New Trends in Image Restoration and Enhancement workshop (NTIRE), CVPR 2021 CVPR 2022

Talks

• Toward “Intelligent” Low-level Vision.
  Invited Talk at Huawei Noah’S Ark Lab, 2024.2
• Understanding Generalization Problem in Low-level Vision.
  Invited Talk at Huawei, 2023.4
  Invited Talk at Shanghai AI Lab, 2023.7
• Rethinking Alignment in Video Super-Resolution Transformers.
  Invited Talk at Shanghai AI Lab, 2022.9 bilibili (CN)
• General Low-Level Vision: Evaluation and Interpretability.
  Invited Talk at Long Feng Science Forum from CUHK-Shenzhen, 2022.8
  Invited Talk at Huawei, Shanghai, 2022.8
• NTIRE 2022 Challenge on Perceptual Image Quality Assessment.
  Talk at CVPR 2022, NTIRE Workshop. 2022.6.
• Interpreting Super-Resolution Networks
  Invited Talk at Student Forum on Frontiers of AI (SFFAI), Shenzhen, 2021.9. bilibili (CN) Slides
• Evaluating and Interpreting Super-Resolution Networks.
  Invited Talk at Huawei 2012 Lab, Shenzhen, 2021.6
  Invited Talk at Kuai Shou, 2022.6
• NTIRE 2021 Challenge on Perceptual Image Quality Assessment.
  Talk at CVPR 2021, NTIRE Workshop. 2021.6. YouTube
• Image Processing Applications: Challenges and Opportunities.
  Invited talk at Tsinghua Shenzhen International Graduate School, 2021.5. Slides
• Interpreting Super-Resolution Networks with Local Attribution Maps.
  Invited talk at Extreme Mart, Shenzhen, 2021.3. bilibili (CN)
  Invited talk at CSIG-Guangdong Province CVPR 2021 Online Academic Report, 2021.5. bilibili (CN)
  Invited talk at Tsinghua AI TIME Online Academic Report, 2021.7. bilibili (CN)
  
• Two-phase Hair Image Synthesis by Self-Enhancing Generative Model.
  Talk at Pacific Graphics 2019. Korea University, Seoul, Korea, 2019.
• Suppressing Model Overfitting for Image Super-Resolution Networks.
  Talk at CVPR 2019, NTIRE Workshop. Long Beach, California, USA, 2019.
• New Trends On Single Image Super-Resolution.
  Invited talk at CUHK(SZ). Shenzhen, Guangdong, China, 2019.
• ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks.
  Talk at ECCV 2018, PIRM Workshop. TUM, Munich, Germany, 2018.

Teaching

ELEC5304: Intelligent Visual Signal Understanding

• Time: Semester 1, 2024
• Role: Lecturer

TechX Academy Bootcamp

• Time: Summer 2021
• Role: Instructor
• Description: Designed and taught a 10-day course on “Introduction to Data Science”
• Course Content:
  • Big picture of Data Science
  • Linear Models: Linear Regression, Logistic Regression, Generalized Linear Models, Softmax Regression
  • Neural Networks, Convolutional Neural Networks
  • Other Classification Methods: Decision Tree, Random Forest, Boosting Methods, Support Vector Machines
  • Unsupervised Learning: K-means, Manifold Learning, Principal Component Analysis
  • Introduction to Natural Language Processing