Dr. Xiangjie Sui
Assistant Professor Master Supervisor
Email: xjsui@cityu.edu.mo
Tel: (853)8590 2344
Office address: Room S502, Stanley Ho Building, City University of Macau (Taipa)
Personal Homepage
https://xiangjiesui.github.io/
Educational qualifications
2024 Service Computing and Application Doctor of Philosophy, Jiangxi University of Finance and Economics, Supervisor: Professor Fang Yuming, Jiangxi, China
2021 Master of Computer Science and Technology, Jiangxi University of Finance and Economics, Supervisor: Professor Fang Yuming, Jiangxi, China
2018 Bachelor of Computer Science and Technology, Jiangxi University of Finance and Economics, Jiangxi, China
Research Visits
May 2023 - Jun 2024 Visiting Ph.D. Student, City University of Hong Kong, Advisor: Prof. Shiqi Wang
Incumbent
Assistant Professor, Faculty of Data Science, City University of Macau
Previously Taught Courses
BCS002 Linear Algebra
BCS011 Introduction to Operating Systems
BIT005 Database Systems
Research direction
Image Quality Assessment: Exploring automated methods for objectively assessing the visual quality of real/generated images.
Visual Saliency Detection: Simulating human attention mechanisms to predict the most attractive regions in images/videos.
Large Visual-Language Model Robustness: Investigating ways to enhance the stability and reliability of multimodal large models under perturbations.
Deepfake Image Detection: Developing algorithms to identify and distinguish generated/manipulating fake facial images.
Research and publishing
Refereed Conference Articles
- X. Sui, S. Wang, and Y. Fang, “A Survey on Objective Quality Assessment of Omnidirectional Images,” in Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2024.
- X. Sui, Y. Fang, H. Zhu, S. Wang, and Z. Wang, “ScanDMM: A Deep Markov Model of Scanpath Prediction for 360-Degree Images,” in IEEE Computer Vision and Pattern Recognition Conference (CVPR), 2023, pp. 6989–6999. (CCF-A)
- Y. Fang, X. Sui, and J. Wang, “A Spatial-Temporal Weighted Method for Asymmetrically Distorted Stereo Video Quality Assessment,” in IEEE International Symposium on Circuits and Systems (ISCAS), 2019, pp. 1–5. (CCF-C)
- Y. Fang, Y. Yao, X. Sui, and K. Ma, “Subjective Quality Assessment of User-Generated 360-Degree Videos,” in IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2023, pp. 723–724. (CCF-A)
- G. Li, X. Sui, J. Yan, and Y. Fang, “Benchmarking 360-Degree Saliency Models by General-Purpose Metrics,” in IEEE International Workshop on Multimedia Signal Processing (MMSP), 2022, pp. 1–6. (CCF-C)
Refereed Journal Articles
- X. Sui*, H. Zhu*, X. Liu, Y. Fang, S. Wang, and Z. Wang, “Perceptual quality assessment of 360° images based on generative scanpath representation,” IEEE Transactions on Image Processing (TIP), vol. 34, pp. 4485–4499, 2025. (CCF-A, JCR Q1, IF=13.7)
- X. Sui, K. Ma, Y. Yao, and Y. Fang, “Perceptual Quality Assessment of Omnidirectional Images as Moving Camera Videos,” IEEE Transactions on Visualization and Computer Graphics (TVCG), vol. 28, no. 8, pp. 3022–3034, 2022. (CCF-A, JCR Q1, IF=6.5)
- H. Zhu*, X. Sui*, B. Chen, X. Liu, P. Chen, Y. Fang, K. Ma, and S. Wang, “2AFC Prompting of Large Multimodal Models for Image Quality Assessment,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 34, no. 12, pp. 12873–12878, 2024. (CCF-B, JCR Q1, IF=11.1)
- X. Sui, M. Ding, J. Yan, Y. Fang, Y. Zuo, and Z. Tan, “Objective Quality Assessment of Synthesized Images by Local Variation Measurement,” Signal Processing: Image Communication (SPIC), vol. 92, p. 116096, 2021. (CCF-C, JCR Q2, IF=2.7)
- Y. Fang, X. Sui, J. Wang, J. Yan, J. Lei, and P. Le Callet, “Perceptual Quality Assessment for Asymmetrically Distorted Stereoscopic Video by Temporal Binocular Rivalry,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 31, no. 8, pp. 3010–3024, 2021. (CCF-B, JCR Q1, IF=11.1)
- Y. Fang, X. Sui, J. Yan, Y. Zuo, J. Wang, and Z. Li, “Asymmetrically Distorted 3D Video Quality Assessment: From the Motion Variation to Perceived Quality,” Signal Processing (SP), vol. 183, p. 108031, 2021. (CCF-C, JCR Q2, IF=3.6)
- Y. Fang, Z. Li, J. Yan, X. Sui, and H. Liu, “Study of Spatio-Temporal Modeling in Video Quality Assessment,” IEEE Transactions on Image Processing (TIP), vol. 32, pp. 2693–2702, 2023. (CCF-A, JCR Q1, IF=13.7)
- W. Wen, M. Li, Y. Yao, X. Sui, Y. Zhang, L. Lan, Y. Fang, and K. Ma, “Perceptual Quality Assessment of Virtual Reality Videos in the Wild,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 34, no. 9, pp. 8368-8381, 2024. (CCF-B, JCR Q1, IF=11.1)
- 方玉明, 眭相杰, 鄢杰斌, 刘学林, 黄丽萍. 无参考图像质量评价研究进展. 中国图象图形学报, 26(2): 265-286, 2021. (CCF-B)
- 鄢杰斌, 方玉明, 刘学林, 姚怡茹, 眭相杰. 视频质量评价研究综述. 计算机学报, 40(10): 2196-2224, 2023. (CCF-A)
Professional Affiliations
IEEE Member
CAA Member