个人简介
王光成，副教授，硕士生导师。2022年获武汉大学国家多媒体软件工程技术研究中心博士学位。主要研究方向为图像质量评价及修复、环境监测，在IEEE/ACM Transactions等期刊上发表SCI论文20余篇，2篇曾入选ESI高被引论文，Google scholar引用2000余次。获IEEE汇刊T-BIOM最佳论文奖、IEEE ISPACS最佳论文奖，以及中国自动化学会科技进步奖二等奖。主持国家自然科学青年基金项目、南通市自然科学基金青年项目与省重点实验室开放基金，参研国家自然科学基金重点项目2项、面上项目2项和产学研项目1项。担任20余本SCI著名期刊审稿人。联系邮箱：wangguangcheng0428@163.com。
研究领域
图像视频质量评价与修复、大气污染物监测
获奖情况
2025年获IEEE汇刊T-BIOM最佳论文奖
2023年获中国自动化学会科技进步二等奖
2023年获IEEE国际信息、通信和网络会议（ICICN）最佳Poster奖
2022年获IEEE智能信号处理和通信系统全球专题会议（ISPACS）最佳论文奖
2021年获CSIG FAT-AI 2021开放场景口罩人脸识别挑战赛高校团队冠军
2020年获武汉大学研究生学术创新奖
科研项目
国家自然科学基金委员会, 青年科学基金项目, 62401296, 面向人机协作救援的六自由度全景视频质量评价与修复方法研究, 2025-01-01 至 2027-12-31, 30万元, 在研, 主持
南通市科技局，青年科学基金项目，JC2023005，自动驾驶场景下视角合成质量评价方法研究，2023-09-01至2026-08-31，20万元，在研，主持
国家自然科学基金委员会, 重点项目, 62431014, 低空信道智能建模与预测推理, 2025-01-01 至2029-12-31, 225万元, 在研, 参与
学术论文
1.图像/视频质量评价及增强
[1] Ruolin Du, Han Wang, Wenjie Liu, Guangcheng Wang, Kui Jiang, Hanseok Ko, Image dehazing via RGB-FIR multimodal fusion and collaborative learning, Pattern Recognition, vol. 171, pp. 11206, 2026. (中科院一区, CCF B类, IF=7.6)
[2] Kui Jiang, Mengru Yang, Yi Xiao, Jianbo Wu, Guangcheng Wang and Xiaocheng Feng, Rep-Mamba: Re-Parameterization in Vision Mamba for Lightweight Remote Sensing Image Super-Resolution, IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-12, 2025. (中科院一区, CCF B类, IF=8.6)
[3] Hui Wang, Zhongzhou Zhang, Ziyuan Yang, Guangcheng Wang and Yi Zhang, PPD-IQA: A Bottom-Up and Top-Down Combined Approach for Blind Image Quality Assessment via Prototype-Prompted Disentangling, IEEE Transactions on Emerging Topics in Computational Intelligence, doi: 10.1109/TETCI.2025.3574579. (中科院二区, CAAI B类, IF=6.5)
[4] Guangcheng Wang, Kui Jiang, Ke Gu, Hongyan Liu, Hantao Liu and Wenjun Zhang, Coarse- and Fine-Grained Fusion Hierarchical Network for Hole Filling in View Synthesis, IEEE Transactions on Image Processing, vol. 33, pp. 322-337, 2024. (中科院一区, CCF A类, IF=13.7)
[5] Guangcheng Wang, Baojin Huang, Ke Gu, Yuchen Liu, Hongyan Liu, Quan Shi, Guangtao Zhai and Wenjun Zhang, No-Reference Multi-Level Video Quality Assessment Metric for 3D-Synthesized Videos, IEEE Transactions on Broadcasting, vol. 70, no. 2, pp. 584-596, 2024. (中科院二区, IF=4.8)
[6] Jifan Yang, Zhongyuan Wang, Guangcheng Wang, Baojin Huang, Yuhong Yang and Weiping Tu, Auxiliary Information Guided Self-attention for Image Quality Assessment, ACM Transactions on Multimedia Computing, Communications and Applications, vol. 20, no. 4, pp. 1-23, 2024. (中科院三区, CCF B类, IF=6.0)
[7] Hancheng Zhu, Zhiwen Shao, Yong Zhou, Guangcheng Wang, Pengfei Chen and Leida Li, Personalized Image Aesthetics Assessment with Attribute-guided Fine-grained Feature Representation, Proceedings of the 31st ACM International Conference on Multimedia, 2023, pp. 6794-6802. (CCF A类)
[8] Hui Wang, Guangcheng Wang, Wenjun Xia, Ziyuan Yang, Hui Yu, Leyuan Fang and Yi Zhang, Blind Image Quality Assessment via Deep Response Feature Decomposition and Aggregation, IEEE Journal of Selected Topics in Signal Processing, vol. 17, no. 6, pp. 1165-1177, 2023. (中科院一区, CCF B类, IF=13.7)
[9] Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Guangcheng Wang, Zhen Han, Junjun Jiang and Zixiang Xiong, Multi-Scale Hybrid Fusion Network for Single Image Deraining, IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 7, pp. 3594-3608, 2023. (中科院一区, CCF B类, IF=8.9)
[10] Guangcheng Wang, Zhongyuan Wang, Ke Gu, Kui Jiang and Zheng He, Reference-Free DIBR-Synthesized Video Quality Metric in Spatial and Temporal Domains, IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 3, pp. 1119-1132, 2022. (中科院一区, CCF B类, IF=11.1)
[11] Guangcheng Wang, Zhongyuan Wang, Ke Gu, Leida Li, Zhifang Xia, and Lifang Wu, Blind Quality Metric of DIBR-Synthesized Images in the Discrete Wavelet Transform Domain, IEEE Transactions on Image Processing, vol. 29, pp. 1802-1814, 2020. (中科院一区, CCF A类, IF=13.7)
[12] Kui Jiang, Zhongyuan Wang, Peng Yi, Guangcheng Wang, Tao Lu and Junjun Jiang, Edge-Enhanced GAN for Remote Sensing Image Superresolution, IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 8, pp. 5799-5812, 2019. (中科院一区, CCF B类, IF=8.6)
2.人脸图像分析与理解
[1] Baojin Huang, Guangcheng Wang, Kui Jiang and Zhongyuan Wang, DALFace: Dynamic Association Learning for Face Recognition, IEEE Transactions on Multimedia, vol. 27, pp. 7432-7443. (中科院一区, CCF B类, IF=9.7)
[2] Baojin Huang, JiaqiMa, Guangcheng Wang and Hui Wang, HDL: Hybrid and Dynamic Learning for Fake Face Recognition, IEEE Transactions on Artificial Intelligence, vol. 6, no. 8, pp. 2073-2082, 2025. (CAAI B类)
[3] Zhongyuan Wang, Baojin Huang, Guangcheng Wang, Peng Yi and Kui Jiang, Masked Face Recognition Dataset and Application, IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 5, no. 2, pp. 298-304, 2023. (中科院二区, CAAI B类, IF=5.0)
[4] Baojin Huang, Zhongyuan Wang, Guangcheng Wang, Kui Jiang, Zhen Han, Tao Lu and Chao Liang, PLFace: Progressive learning for face recognition with mask bias, Pattern Recognition, vol. 135, pp. 109142, 2023. (中科院一区, CCF B类, IF=7.6)
[5] Baojin Huang, Zhongyuan Wang, Guangcheng Wang, Zhen Han and Kui Jiang, Local eyebrow feature attention network for masked face recognition, ACM Transactions on Multimedia Computing, Communications and Applications, vol. 19, no. 3, pp. 1-19, 2023. (中科院三区, CCF B类, IF=6.0)
[6] Guangcheng Wang, Zhongyuan Wang, Baojin Huang, Kui Jiang, Zheng He, Hancheng Zhu, Jinsheng Xiao and Xin Tian, Two-stage unsupervised facial image quality measurement, Information Sciences, vol. 611, pp. 432-445, 2022. (中科院一区, CCF B类, IF=8.1)
[7] Guangcheng Wang, Zhongyuan Wang, Kui Jiang, Baojin Huang, Zheng He, Ruimin Hu, Silicone mask face anti-spoofing detection based on visual saliency and facial motion, Neurocomputing, vol. 458, pp. 416-427, 2021. (中科院二区, CCF C类, IF=6.5)
[8] Kui Jiang, Zhongyuan Wang, Peng Yi, Guangcheng Wang, Ke Gu and Junjun Jiang, ATMFN: Adaptive-Threshold-Based Multi-Model Fusion Network for Compressed Face Hallucination, IEEE Transactions on Multimedia, vol. 22, no. 10, pp. 2734-2747, 2020. (中科院一区, CCF B类, IF=9.7)
3.空气质量监测
[1] Guangcheng Wang, Quan Shi, Han Wang, Ke Gu, Mengting Wei, Lai-Kuan Wong and Mingxing Wang, Vision-Based PM2.5 Concentration Estimation with Natural Scene Statistical Analysis, IEEE Transactions on Artificial Intelligence, vol. 5, no. 6, pp. 2805-2815, 2024. (CAAI B类)
[2] Guangcheng Wang, Quan Shi, Han Wang, Kezheng Sun, Yuxuan Lu and Kexin Di, Multi-modal image feature fusion-based PM2.5 concentration estimation, Atmospheric Pollution Research, vol. 13, no. 3, pp. 101345, 2022. (中科院三区, IF=3.5)
[3] Kezheng Sun, Lijuan Tang, JianSheng Qian, Guangcheng Wang and Cairong Lou, A deep learning-based pm2.5 concentration estimator, Displays, vol. 69, pp. 102072, 2021. (中科院二区, IF=3.4)