Zhihua Wang

Zhihua Wang

Associate Professor at the School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University.

Welcome to the Vision, Imaging, Perception & Security Laboratory (VIPS). We conduct research at the intersection of visual perception, computational imaging, and multimedia security. VIPS aims to advance next-generation multimedia perception and build secure, reliable AI systems.

๐Ÿง  Research Interests

  • Computational Modeling of the Human Visual Perception
  • Perceptual Multimedia Signal Processing and Quality Assessment
  • Multimedia Quality-of-Experience
  • Camera Processing Pipeline Design and Optimization

๐Ÿง‘โ€๐ŸŽ“ Admissions

โญโญโญ Our team recruit several postdocs to work on image/video quality assessment, image restoration and enhancement, multimedia scurity, 1โ€“2 PhD students and 1โ€“2 Masterโ€™s students each year, and I also welcome motivated bachelor students to join the group in any format. If you are interested in joining VIPS, please feel free to reach out via email.

๐Ÿ”ฅ News

  • 2026.02: ย One paper was accepted by Pattern Recognition about low-light image enhancement. Congratulations to Qinghua.
  • 2026.02: ย One paper was accepted by CVPR about video quality assessment. Congratulations to Jian Zou.
  • 2026.02: ย One paper was accepted by IEEE TIP about latent fingerprint quality assessment. Congratulations to Chao Huang.
  • 2026.01: ย Two papers were accepted by Pattern Recognition. Congratulations to Runhao Zeng.

๐Ÿ“ Publications

2026

  • Latent Fingerprint Quality Assessment for Criminal Investigations: A Benchmark Dataset and Method
    Chao Huang, Jingxuan Zhang, Ye Zhang, Hao Wu, Peibei Cao, Zhihua Wang, Yang Yu, Xiaochun Cao
    IEEE Transaction on Image Processing (TIP), 2026.
    ๐Ÿ“„ Paper ๏ฝœ ๐Ÿ’ป Code

  • Test-time adaptive vision-language alignment for zero-shot group activity recognition
    Runhao Zeng, Yirui Wang, Wenfu Peng, Xionglin Zhu, Ronghao Zhang, Zhihua Wang
    Pattern Recognition (PR), 2026.
    ๐Ÿ“„ Paper ๏ฝœ ๐Ÿ’ป Code

2025

  • Sample-efficient human evaluation of large language models via maximum discrepancy competition
    Kehua Feng, Keyan Ding, Kede Ma, Zhihua Wang, Qiang Zhang, Huajun Chen
    Association for Computational Linguistics (ACL), 2025.
    ๐Ÿ“„ Paper ๏ฝœ ๐Ÿ’ป Code

  • Harnessing multi-modal large language models for measuring and interpreting color differences
    Zhihua Wang, Yu Long, Qiuping Jiang, Chao Huang, Xiaochun Cao
    IEEE Transactions on Image Processing (TIP), 2025.
    ๐Ÿ“„ Paper ๏ฝœ ๐Ÿ’ป Code

  • Deep underwater image quality assessment with explicit degradation awareness embedding
    Qiuping Jiang, Yuese Gu, Zongwei Wu, Chongyi Li, Huan Xiong, Feng Shao, Zhihua Wang
    IEEE Transactions on Image Processing (TIP), 2025.
    ๐Ÿ“„ Paper ๏ฝœ ๐Ÿ’ป Code

  • Multi-dimensional perceptual quality assessment for magnetic resonance images
    Quankeng Huang, Yuqi Tang, Hao Li, Yang Yu, Zhihua Wang, Linfang Xiao, Wenchao Jiang, Keyan Ding
    Health Information Science and Systems (HISS), 2025.

  • InvJND: Just Noticeable Difference Estimation via Deep Invertible Network
    Qiuping Jiang, Feiyang Liu, Ziqi Wang, Zhihua Wang, Shiqi Wang, Feng Shao, Guangtao Zhai, Weisi Lin
    International Journal of Computer Vision (IJCV), 2025.
    ๐Ÿ“„ Paper ๏ฝœ ๐Ÿ’ป Code

  • PyUIE: A Coarse-to-fine Deep Pyramid Network for Underwater Image Enhancement
    Wenchao Jiang, Yingqing Tan, Yang Yu, Zhihua Wang, Qiuping Jiang
    IEEE Transactions on Multimedia (TMM), 2025.
    ๐Ÿ“„ Paper ๏ฝœ ๐Ÿ’ป Code

  • Towards scalable and efficient full-reference omnidirectional image quality assessment
    Jiebin Yan, Zhiyong Liu, Zhihua Wang, Yuming Fang, Hantao Liu
    IEEE Signal Processing Letters (SPL), 2025.
    ๐Ÿ“„ Paper ๏ฝœ ๐Ÿ’ป Code

  • ICAA-Mamba: Vision Mamba for Image Color Aesthetics Assessment
    Qinghao Xie, Wenchao Jiang, Zhihua Wang, Qiuping Jiang
    IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025.
    ๐Ÿ“„ Paper ๏ฝœ ๐Ÿ’ป Code

  • Enhancing Low-Light Images: A Synthetic Data Perspective on Practical and Generalizable Solutions
    Yu Long, Qinghua Lin, Zhihua Wang, Kai Zhang, Jianguo Zhang, Yuming Fang
    Association for the Advancement of Artificial Intelligence (AAAI), 2025.
    ๐Ÿ“„ Paper ๏ฝœ ๐Ÿ’ป Code

  • Multi-view Evidential Learning-based Medical Image Segmentation
    Chao Huang, Yushu Shi, Waikeung Wong, Chengliang Liu, Wei Wang, Zhihua Wang, Jie Wen
    Association for the Advancement of Artificial Intelligence (AAAI), 2025.
    ๐Ÿ“„ Paper ๏ฝœ ๐Ÿ’ป Code

  • Multi-Dimensional Quality Assessment for UGC Videos via Modular Multi-Modal Vision-Language Models
    Weixia Zhang, Bingkun Zheng, Junlin Chen, Zhihua Wang
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2025.
    ๐Ÿ“„ Paper ๏ฝœ ๐Ÿ’ป Code

  • Evaluating perceptual color preferences in smartphone photography: dataset and challenges
    Zhihua Wang, Weixia Zhang, Wei Zhou, Xiaohong Liu, Guangtao Zhai, Patrick Le Callet
    ACM Multimedia (ACM MM), 2025.
    ๐Ÿ“„ Paper ๏ฝœ ๐Ÿ’ป Code

  • VQualA 2025 Document Image Quality Assessment Challenge
    Fan Huang et al., including Zhihua Wang
    International Conference on Computer Vision (ICCV) Workshop, 2025.

  • Vquala 2025 challenge on image super-resolution generated content quality assessment
    Yixiao Li et al., including Zhihua Wang
    International Conference on Computer Vision (ICCV) Workshop, 2025.

  • Deep opinion-unaware blind image quality assessment by learning and adapting from multiple annotators
    Zhihua Wang, Xuelin Liu, Jiebin Yan, Jie Wen, Wei Wang, Chao Huang
    International Joint Conference on Artificial Intelligence (IJCAI), 2025.
    ๐Ÿ“„ Paper ๏ฝœ ๐Ÿ’ป Code

2024

  • CD-iNet: Deep invertible network for perceptual image color difference measurement
    Zhihua Wang, Keshuo Xu, Keyan Ding, Qiuping Jiang, Yifan Zuo, Zhangkai Ni, Yuming Fang
    International Journal of Computer Vision (IJCV), 2024.
    ๐Ÿ“„ Paper ๏ฝœ ๐Ÿ’ป Code

  • Dataset and Metric for Quality Assessment of HDR Tone Mapping
    Qiuping Jiang, Xiwen Li, Xinyi Wang, Zhihua Wang, Guangtao Zhai
    IEEE Transactions on Multimedia (TMM), 2024.
    ๐Ÿ“„ Paper ๏ฝœ ๐Ÿ’ป Code

  • Towards Dimension-Enriched Underwater Image Quality Assessment
    Qiuping Jiang, Yi Xiao, Li Ouyang, Jingchun Zhou, Zhihua Wang
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024.
    ๐Ÿ“„ Paper ๏ฝœ ๐Ÿ’ป Code

  • Retouched Face Image Quality Assessment Based on Differential Perception and Textual Prompt
    Tianwei Zhou, Songbai Tan, Shishun Tan, Chang Tang, Zhihua Wang, Guanghui Yue
    IEEE Transactions on Broadcasting (TBC), 2024.
    ๐Ÿ“„ Paper ๏ฝœ ๐Ÿ’ป Code

  • Real-time FPGA-based closed-loop deep brain stimulation platform
    Gajendra Kumar et al., including Zhihua Wang
    CNS Neuroscience & Therapeutics, 2024.

  • M2Trans: Multi-Modal Regularized Coarse-to-Fine Transformer for Ultrasound Image Super-Resolution
    Zhangkai Ni et al., including Zhihua Wang
    IEEE Journal Of Biomedical & Health Informatics (JBHI), 2024.
    ๐Ÿ“„ Paper ๏ฝœ ๐Ÿ’ป Code

  • A Lesion-Fusion Neural Network for Multi-View Diabetic Retinopathy Grading
    Xiaoling Luo et al., including Zhihua Wang
    IEEE Journal Of Biomedical & Health Informatics (JBHI), 2024.
    ๐Ÿ“„ Paper ๏ฝœ ๐Ÿ’ป Code

  • Rethinking and conceptualizing just noticeable difference estimation by residual learning
    Qiuping Jiang et al., including Zhihua Wang
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024.
    ๐Ÿ“„ Paper ๏ฝœ ๐Ÿ’ป Code

  • THQA: A Perceptual Quality Assessment Database for Talking Heads
    Yingjie Zhou et al., including Zhihua Wang
    IEEE International Conference on Image Processing (ICIP), 2024.
    ๐Ÿ“„ Paper ๏ฝœ ๐Ÿ’ป Code

  • Multimodal Representation Distribution Learning for Medical Image Segmentation
    Chao Huang, Weichao Cai, Qiuping Jiang, Zhihua Wang
    International Joint Conference on Artificial Intelligence (IJCAI), 2024.
    ๐Ÿ“„ Paper ๏ฝœ ๐Ÿ’ป Code

  • Multiscale Sliced Wasserstein Distances as Perceptual Color Difference Measures
    Jiaqi He, Zhihua Wang, Leon Wang, Tsein-I Liu, Yuming Fang, Qilin Sun, Kede Ma
    European Conference on Computer Vision (ECCV), 2024.
    ๐Ÿ“„ Paper ๏ฝœ ๐Ÿ’ป Code

2023

  • Toward a blind image quality evaluator in the wild by learning beyond human opinion scores
    Zhihua Wang, Zhiri Tang, Jianguo Zhang, Yuming Fang
    Pattern Recognition (PR), 2023.
    ๐Ÿ“„ Paper ๏ฝœ ๐Ÿ’ป Code

  • Deep blind image quality assessment powered by online hard example mining
    Zhihua Wang, Qiuping Jiang, Shanshan Zhao, Wensen Feng, Weisi Lin
    IEEE Transactions on Multimedia (TMM), 2023.
    ๐Ÿ“„ Paper ๏ฝœ ๐Ÿ’ป Code

  • Perception-driven Deep Underwater Image Enhancement without Paired Supervision
    Qiuping Jiang, Yaozu Kang, Zhihua Wang, Wenqi Ren, Chongyi Li
    IEEE Transactions on Multimedia (TMM), 2023.
    ๐Ÿ“„ Paper ๏ฝœ ๐Ÿ’ป Code

  • Adaptive Structure and Texture Similarity Metric for Image Quality Assessment and Optimization
    Keyan Ding, Rijin Zhong, Zhihua Wang, Yang Yu, Yuming Fang
    IEEE Transactions on Multimedia (TMM), 2023.
    ๐Ÿ“„ Paper ๏ฝœ ๐Ÿ’ป Code

  • Measuring perceptual color differences of smartphone photographs
    Zhihua Wang, Keshuo Xu, Yang Yang, Jianlei Dong, Shuhang Gu, Lihao Xu, Yuming Fang, Kede Ma
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
    ๐Ÿ“„ Paper ๏ฝœ ๐Ÿ’ป Code

2022

  • A database of visual color differences of modern smartphone photography
    Keshuo Xu, Zhihua Wang, Yang Yang, Jianlei Dong, Lihao Xu, Yuming Fang, Kede Ma
    International Conference on Image Processing (ICIP), 2022.
    ๐Ÿ“„ Paper ๏ฝœ ๐Ÿ’ป Code

2021

  • Active fine-tuning from gMAD examples improves blind image quality assessment
    Zhihua Wang, Kede Ma
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
    ๐Ÿ“„ Paper

  • Troubleshooting blind image quality models in the wild
    Zhihua Wang, Haotao Wang, Tianlong Chen, Zhangyang Wang, and Kede Ma
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
    ๐Ÿ“„ Paper

2019

  • Towards a hybrid BCI gaming paradigm based on motor imagery and SSVEP
    Zhihua Wang,Yang Yu, Ming Xu, Yadong Liu, Erwei Yin, Zongtan Zhou
    International Journal of Humanโ€“Computer Interaction, 2019.
    ๐Ÿ“„ Paper

๐ŸŽ– Honors and Awards

  • 2025.10 ๅ›ฝๅฎถ็บง้’ๅนดไบบๆ‰.
  • 2023.01 ๆทฑๅœณๅธ‚้นๅŸŽ็‰น่˜ๅฒ—ไฝCๅฒ—.

๐Ÿ“– Educations

  • 2018.09 - 2022.06, Ph.D., City University of Hong Kong, Kowloon, Hong Kong.
  • 2014.09 - 2016.12, Master of Engineering, National University of Defense Technology, Changsha, China.
  • 2010.09 - 2014.07, Bachelor of Engineering, China University of Science and Technology, Xuzhou, China

๐Ÿ‘ฅ Team Members