I am a postdoctoral researcher with the Department of Computer Science, City University of Hong Kong.

I obtained my Ph.D. degree (June 2022) in Computer Science from City University of Hong Kong supervised by Dr. Shiqi Wang (王诗淇). I obtained my M.S. degree in Intelligent Information Processing, Xidian University under the supervision of Prof. Cheolkon Jung (Korea), in 2018, and B.S. degree in Electronic information science and technology, Hefei University of Technology, June 2015.

My research interest includes image/video quality assessment and information forensics and security.

🔥 News

  • One paper accepted by ICCV2023. Fu-Zhao Ou, Baoliang Chen, Chongyi Li, Shiqi Wang, and Sam Kwong, “Troubleshooting Ethnic Quality Bias with Curriculum Domain Adaptation for Face Image Quality Assessment”. [code]
  • One paper accepted by TMM2023. Yu Tian, Baoliang Chen, Shiqi Wang, and Sam Kwong, “Towards Thousands to One Reference: Can We Trust the Reference Image for Quality Assessment?” [code]

    📝 Publications (*: Co-first authors)

  • Baoliang Chen*, Lingyu Zhu*, Hanwei Zhu, Wen Yang, Linqi Song, and Shiqi Wang, “Gap-closing Matters: Perceptual Quality Evaluation and Optimization of Low-Light Image Enhancement”, IEEE Transactions on Multimedia, vol. 26, pp. 3430-3443, 2023. [code]
  • Hanwei Zhu, Baoliang Chen, Lingyu Zhu, and Shiqi Wang, “Learning spatiotemporal interactions for user-generated video quality assessment”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 33, no. 3, pp. 1031–1042, 2022. [paper] [code]
  • Zhaopeng Feng, Keyang Zhang, Shuyue Jia, Baoliang Chen, and Shiqi Wang, “Learning from Mixed Datasets: A Monotonic Image Quality Assessment Model,” Electronics Letters, vol. 59, no. 3, p. e12698, 2023. [paper] [code]
  • Baoliang Chen, Lingyu Zhu, Chenqi Kong, Hanwei Zhu, Shiqi Wang, and Zhu Li, “No-reference image quality assessment by hallucinating pristine features,” IEEE Transactions on Image Process, vol. 31, pp. 6139-6151, 2022. [paper] [code]
  • Xingran Liao, Baoliang Chen, Hanwei Zhu, Shiqi Wang, Mingliang Zhou, and Sam Kwong, “DeepWSD: Projecting degradations in perceptual space to Wasserstein distance in deep feature space,” ACM Multimedia (ACM MM 2022). [paper] [code]
  • Shuvue Jia, Baoliang Chen, Dingquan Li, and Shiqi Wang, “No-reference image quality assessment via non-local dependency modeling,” IEEE International Workshop on Multimedia Signal Processing (MMSP 2022). [paper] [code]
  • Chenqi Kong, Baoliang Chen, Haoliang Li, Shiqi Wang, Anderson Rocha, and Sam Kwong, “Detect and locate: Exposing face manipulation by semantic- and noise-Level telltales,” IEEE Transactions on Information Forensics and Security, vol. 17, pp. 1741-1756, 2022. [paper] [code]
  • Baoliang Chen, Lingyu Zhu, Guo Li, Fangbo Lu, Hongfei Fan, and Shiqi Wang, “Learning generalized spatial-temporal deep feature representation for no-reference video quality assessment,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, pp. 1903-1916, 2022. [paper] [code]
  • Pingping Zhang, Meng Wang, Baoliang Chen, Rongqun Lin, Xu Wang, Shiqi Wang, and Sam Kwong, “Learning-based Compression for Noisy Images in the Wild,” IEEE Transactions on Circuits and Systems for Video Technology, 2022. [paper]
  • Lingyu Zhu, Wenhan Yang, Baoliang Chen, Fangbo Lu, and Shiqi Wang, “Enlightening low-light images with dynamic guidance for context enrichment,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 8, pp. 5068–5079, 2022. [paper] [code]
  • Baoliang Chen, Wenhan Yang, and Shiqi Wang, “Generalized face antispoofing by learning to fuse features from high-and low-frequency domains,” IEEE MultiMedia, vol. 28, no. 1, pp. 56–64, 2021. [paper]
  • Guo Li, Baoliang Chen, Lingyu Zhu, Qinwen He, Hongfei Fan, and Shiqi Wang, “PUGCQ: A large scale dataset for quality assessment of professional user-generated content,” ACM International Conference on Multimedia (ACM MM 2021). [paper] [code]
  • Chenqi Kong, Baoliang Chen, Shurun Wang, Haoliang Li, Peilin Chen, and Shiqi Wang, “Appearance matters, so does audio: Revealing the hidden face via cross-modality transfer,” IEEE Transactions on Circuits and Systems for Video Technology, vo. 32. no. 1, pp. 423-436, 2021. [paper]
  • Baoliang Chen, Wenhan Yang, Haoliang Li, Shiqi Wang, and Sam Kwong, “Camera invariant feature learning for generalized face anti-spoofing,” IEEE Transactions on Information Forensics and Security, vol. 16, pp. 2477–2492, 2021. [paper]
  • Baoliang Chen, Haoliang Li, Hongfei Fan, and Shiqi Wang, “No-reference screen content image quality assessment with unsupervised domain adaptation,” IEEE Transactions on Image Processing, vol. 30, pp. 5463–5476, 2021. [paper] [code]
  • Baoliang Chen, Cheolkon Jung, and Zhendong Zhang, “Variational fusion of time-of-flight and stereo data for depth estimation using edge-selective joint filtering,” IEEE Transactions on Multimedia, vol. 20, pp. 2882-2890, 2021. [paper]
  • Baoliang Chen, Wenhan Yang, and Shiqi Wang, “Face anti-spoofing by fusing high and low frequency features for advanced generalization capability,” IEEE Conference on Multimedia Information Processing and Retrieval (MIPR 2020). [paper]
  • Baoliang Chen and Cheolkon Jung, “Single depth image superresolution using convolutional neural networks,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018). [paper]
  • Baoliang Chen and Cheolkon Jung, “Patch-based stereo matching using 3D convolutional neural networks,” IEEE International Conference on Image Processing (ICIP 2018). [paper]
  • Baoliang Chen, Cheolkon Jung, and Zhendong Zhang, “Variational fusion of time-of-flight and stereo data using edge selective joint filtering,” IEEE International Conference on Image Processing (ICIP 2017). [paper]

📖 Educations

  • 2019.07 - 2022.06, Department of Computer Science, City University of Hong Kong (CityU).
  • 2015.09 - 2018.06, School of Electronic Engineering, University of Xidian (XDU).
  • 2011.09 - 2015.06, School of Computer and Information, Hefei University of Technology (HFUT).

🎖 Honors and Awards

  • 芒果TV - VQA算法大赛 Top 10
  • 2021.07 Outstanding Academic Performance Award (CityU)
  • 2021.07 Research Tuition Scholarship (CityU)
  • 2018.06 Best Graduation Thesis (XDU)
  • 2017.09 Outstanding Graduate Student (XDU)
  • 2015.06 Outstanding Graduation Thesis (HFUT)