岳广辉，特聘研究员，长聘副教授，医学信息工程系主任，硕士生导师、博士生导师、博士后合作导师。2019年6月在天津大学获博士学位，2017-2019年于新加坡南洋理工大学计算机科学与工程学院Lin Weisi教授（IEEE/IET Fellow）课题组从事学术研究工作。2019年7月进入深圳大学从事教学科研工作。岳博士主要开展医学人工智能、图像处理、计算机辅助诊断、图像/视频质量评价及优化、机器学习及其应用等领域的研究。截止目前，发表期刊/会议论文100余篇（含第一/通讯SCI论文60余篇），申请并授权国家发明专利20余项，部分成果获天津市科学技术进步奖一等奖。主持国家自然科学基金面上项目、青年项目、广东省基础与应用基础基金面上项目、深圳市优秀科技创新人才培养项目、深圳市医学研究专项资金（人才提升型项目）等纵向课题10余项。担任中国生物医学工程学会数字医疗及医疗信息化分会委员、中国自动化学会青年工作委员、广东省医学会人工智能分会学术委员、医学图像计算青年研讨会委员、深圳市生物医学工程学会微创外科专委会副主任委员。担任IEEE TIP/TMI/TMM/TCSVT/ TNNLS/TII/TCYB/TIE/TIM/TASE/TNSRE等三十余个期刊的审稿人。主授课程为《机器学习》、《人工智能与Python》、《高等数学（医）》、《人工智能的临床应用实践》及《医学图像处理与应用》，教学评测平均值在全校前20%。

1.图像、视频质量评价及优化

2.医学图像分割

3.医学图像分类

1. 国家自然科学基金面上项目，主持

2. 广东省自然科学基金青年提升项目，主持

3. 深圳市医学研究专项资金（人才提升型-青年项目），主持

课题组聚焦于计算机辅助诊断、医学信息处理等前沿领域，以图像处理、深度学习技术为手段解决相关科学难题，实验室软硬件齐全，拥有多台高性能深度学习图形工作站及服务器，可满足深度学习相关的研究工作。课题组与国内外多个名校的科研团队以及国内知名企业、医院构建了长期合作关系，全力支持学生开展研究工作，可推荐成果优秀、性格良好者交流学习。本人会积极与学生互动、给予一线科研指导，课题组氛围融洽，成员来自五湖四海，精诚协作、积极向上，已经连续四年获得研究生国家奖学金（5人次），部分硕士生毕业后入职华为（连续三届）、科大讯飞等企业从事研发工作、本科生前往中山大学继续深造。本课题组长期招募博士后、研究生（含博士生、硕士生）、本科生，重点招收拥有学术追求、计划从事算法研发和科研岗的学生(有继续读博深造计划的优先考虑)，期待热爱人工智能及医学图像处理方向（最好掌握基本的编程、图像处理和机器学习知识），努力踏实勤奋的你加入实验室。感兴趣者请把简历发送至yueguanghui@szu.edu.cn。

一、图像/视频质量评价及优化

1.Guanghui Yue, Lixin Zhang, et al., SGNet: Style-Guided Network with Temporal Compensation for Unpaired Low-Light Colonoscopy Video Enhancement, IEEE Transactions on Image Processing, 2026, 35: 234-246. (Top期刊, 中科院1区)

2.Guanghui Yue, Wentao Li, et al., Text-Guided Semantic Alignment Network with Spatial-Frequency Interaction for Infrared-Visible Image Fusion under Extreme Illumination, IEEE Transactions on Image Processing, 2025, 34: 7943-7958. (Top期刊, 中科院1区)

3.Guanghui Yue, Lixin Zhang, et al., Subjective and Objective Quality Assessment of Colonoscopy Videos, IEEE Transactions on Medical Imaging, 2025, 44(2): 841-854. (ESI高被引, Top期刊, 中科院1区)

4.Guanghui Yue, Shaoping Zhang, et al., Pyramid Network with Quality-Aware Contrastive Loss for Retinal Image Quality Assessment, IEEE Transactions on Medical Imaging, 2025, 44(3): 1416-1431. (Top期刊, 中科院1区)

5.Guanghui Yue, Chunping Hou, et al., Combining local and global measures for DIBR-synthesized image quality evaluation, IEEE Transactions on Image Processing, 2019, 28(4): 2075-2088. (Top期刊, 中科院1区)

6.Guanghui Yue, Jie Gao, et al., Deep Pyramid Network for Low-Light Endoscopic Image Enhancement, IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34 (5): 3834 - 3845. (Top期刊, 中科院1区)

7.Guanghui Yue, Di Cheng, et al., Semi-Supervised Authentically Distorted Image Quality Assessment with Consistency-Preserving Dual-Branch Convolutional Neural Network, IEEE Transactions on Multimedia, 2023, 25: 6499 - 6511. (Top期刊, 中科院1区)

8.Guanghui Yue, Di Cheng, et al., Perceptual Quality Assessment of Enhanced Colonoscopy Images: A Benchmark Dataset and an Objective Method, IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33(10): 5549 - 5561. (Top期刊, 中科院1区)

9.Jia Liu, Yu Luo, Guanghui Yue(岳广辉)*, etc., Self-Supervised Unfolding Network with Shared Reflectance Learning for Low-Light Image Enhancement, IEEE Transactions on Image Processing, 2026, 35: 800-815. (通讯，Top期刊, 中科院1区)

10.Yu Luo, Xuanrong Chen, Jie Ling, Chao Huang, Wei Zhou, and Guanghui Yue*, Unsupervised Low-Light Image Enhancement with Self-Paced Learning, IEEE Transactions on Multimedia, 2025, 27: 1808-1820. (通讯，Top期刊, 中科院1区)


       二、医学图像分割

1.Guanghui Yue, Shangjie Wu, et al., Benchmarking Laryngeal Neoplasm Segmentation: A Multicenter Dataset and an Effective Method, IEEE Transactions on Image Processing, 2025, 34: 7362-7377. (Top期刊, 中科院1区)

2.Guanghui Yue, Shangjie Wu, et al., Boundary-Guided Feature-Aligned Network for Colorectal Polyp Segmentation, IEEE Transactions on Circuits and Systems for Video Technology, 2025, 35 (7): 6993-7004. (Top期刊, 中科院1区)

3.Guanghui Yue, Shangjie Wu, et al., Progressive Region-to-Boundary Exploration Network for Camouflaged Object Detection, IEEE Transactions on Multimedia, 2025, 27: 236 - 248. (Top期刊, 中科院1区)

4.Guanghui Yue, Houlu Xiao, et al., Dual-Constraint Coarse-to-Fine Network for Camouflaged Object Detection, IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34 (5): 3286 - 3298. (Top期刊, 中科院1区)

5.Guanghui Yue, Guibin Zhuo, et al., Boundary Uncertainty Aware Network for Automated Polyp Segmentation, Neural Networks, 2024, 170: 390-404. (Top期刊, 中科院1区)

6.Guanghui Yue, Shangjie Wu, et al., Adaptive Context Aggregation Network with Prediction-aware Decoding for Multimodal Brain Tumor Segmentation, IEEE Transactions on Instrumentation and Measurement, 2024, 73: 1 - 11. (Top期刊, 中科院2区)

7.Guanghui Yue, Siying Li, et al., Attention-Guided Pyramid Context Network for Polyp Segmentation in Colonoscopy Images, IEEE Transactions on Instrumentation and Measurement, 2023, 72: 1-13. (Top期刊, 中科院2区)

8.Guanghui Yue, Houlu Xiao, et al., Progressive Feature Enhancement Network for Automated Colorectal Polyp Segmentation, IEEE Transactions on Automation Science and Engineering, 2025, 22: 5792 - 5803. (中科院2区)

9.Guanghui Yue, Guibin Zhuo, et al., Adaptive Cross-Feature Fusion Network with Inconsistency Guidance for Multi-Modal Brain Tumor Segmentation, IEEE Journal of Biomedical and Health Informatics, 2025, 29(5): 3148 - 3158. (Top期刊, 中科院2区)

10.Guanghui Yue, Wanwan Han, et al., Boundary Constraint Network with Cross Layer Feature Integration for Polyp Segmentation, IEEE Journal of Biomedical and Health Informatics, 2022, 26(8): 4090 - 4099. (Top期刊, 中科院1区)

三、医学图像分类

1.Guanghui Yue, Peishan Wei, et al., Toward Multicenter Skin Lesion Classification Using Deep Neural Network with Adaptively Weighted Balance Loss, IEEE Transactions on Medical Imaging, 2023, 42(1): 119-131. (Top期刊, 中科院1区)

2.Guanghui Yue, Peishan Wei, et al., Automated Endoscopic Image Classification via Deep Neural Network with Class Imbalance Loss, IEEE Transactions on Instrumentation and Measurement, 2023, 72: 1-11. (ESI高被引, Top期刊, 中科院2区)

3.Guanghui Yue, Yuan Li, et al., Attention-Driven Cascaded Network for Diabetic Retinopathy Grading from Fundus Images, Biomedical Signal Processing and Control, 2023, 80: 104370. (中科院2区)

4.Guanghui Yue #, Peishan Wei#, et al., Specificity-aware Federated Learning with Dynamic Feature Fusion Network for Imbalanced Medical Image Classification, IEEE Journal of Biomedical and Health Informatics, 2024, 28(11): 6373 - 6383. (共同一作，Top期刊, 中科院2区)

5.Peishan Wei, Tianwei Zhou, Weide Liu, Jie Du, Tianfu Wang, and Guanghui Yue*, FedPDN: Personalized Federated Learning with Inter-class Similarity Constraint for Medical Image Classification through Parameter Decoupling, IEEE Transactions on Instrumentation and Measurement, 2025,74: 1-13. (通讯，中科院2区)

6.Bin Jiang, Yuchen Shang, Guanghui Yue*, et al., Long-Tailed Federated Learning in Internet of Medical Things Based on Ensemble Distillation and Imbalanced Calibration, IEEE Transactions on Consumer Electronics, 2025, 71 (2): 4604 - 4615. (通讯，中科院2区)

7.Bin Jiang, Zhongyan Liu, Guanghui Yue*, Xuerong Cui, Yongxin Liu, and Huihui Helen Wang, Privacy Safeguarding for Human-Computer Interaction Based on Adaptive Federated Learning with Actor-Critic Selection, IEEE Transactions on Consumer Electronics, 2025, 71 (2): 6744 - 6756. (通讯，中科院2区)

8.Bin Jiang*, Lixin Cai, Guanghui Yue*, Fei Luo, Shibao Li, and Jian Wang, Energy-Efficient Wireless Resource Allocation for Heterogeneous Federated Multitask Networks Based on Evolutionary Learning, IEEE Transactions on Industrial Informatics, 2025, 21 (5): 4094 - 4104. (共同通讯，Top期刊, 中科院1区)