杨宝瑶 Yang Baoyao 副教授

所属学院：    计算机学院

导师类别：    硕士生导师

科研方向：   机器学习、智慧医疗

联系方式：   ybaoyao@gdut.edu.cn

硕士招生学院：   计算机学院

Beyond Machine Learning (BYML) 团队介绍

https://www.byml-group.com

个人介绍：广东工业大学青年百人高层次引进人才，于2014年获得华南理工大学学士学位、2018年获得香港浸会大学博士学位。主持国家自然科学基金面上项目、青年科学基金项目及多项省部级科研课题，获2023年度广东省科技进步二等奖；近年来在IEEE TIP、TIFS、TNNLS等国际顶级期刊和AAAI、ACMMM、MICCAI等权威会议上发表论文40余篇，授权国家发明专利11项。IEEE、ACM、CSIG会员，担任ECAI、AAAI等多个国际会议章程/程序主席，TPAMI、TIP、TNNLS等人工智能顶级期刊审稿人。注重产学研结合，指导学生多次在国家级竞赛中获奖，并培养多名优秀本科生进入知名高校深造。

【教育背景】

2014-08 至 2018-08, 香港浸会大学, 计算机科学, 博士

2010-09 至 2014-06, 华南理工大学, 计算机科学与技术, 学士

【工作经历】

2021-01至今, 广东工业大学, 计算机学院计算机科学与技术系, 副教授

2019-05 至 2019-07, 日本东京大学, 机械智能实验室, 访问学者

2018-09 至 2021-01, 香港浸会大学, 理学院计算机科学系, 博士后研究员

【代表性论文】

期刊论文

[1] Baoyao Yang, Hao-wei Yeh, Tatsuya Harada, and Pong C. Yuen*, "Model-induced Generalization Error Bound for Information-theoretic Representation Learning in Source-data-free Unsupervised Domain Adaptation," IEEE Transactions on Image Processing (TIP), 2022. (中科院SCI分区：1区；IF：11.041；CCF-A期刊)

[2] Baoyao Yang and Pong C. Yuen*, "Revealing Task-relevant Model Memorization for Source-Protected Unsupervised Domain Adaptation," IEEE Transactions on Information Forensics and Security (TIFS), 2022. (中科院SCI分区：1区；IF：7.23；CCF-A期刊)

[3] Baoyao Yang*, Dongzhe Li, Chong Yin, Fei Lyu and Xiaochen He, "Multi-modal Brain Tumor Segmentation via Multi-category Interaction and Graph Co-reasoning," IEEE Transactions on Multimedia (TMM), 2025. (中科院SCI分区：1区；IF：9.7；CCF-B期刊)

[4] Baoyao Yang*, PC Yuen, Yiqun Zhang, An Zeng, "Allosteric Feature Collaboration for Model-Heterogeneous Federated Learning," IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024. (中科院SCI分区：1区；IF：14.255；CCF-B期刊)

[5] Dan Pan, An Zeng*, Baoyao Yang*, Gangyong Lai, Bing Hu, Xiaowei Song, Tianzi Jiang, "Deep Learning for Brain MRI Confirms Patterned Pathological Progression in Alzheimer's Disease," Advanced Science, 2023. (中科院SCI分区：1区；IF: 17.521)

[6] Baoyao Yang, Mang Ye, Qingxiong Tan and Pong C. Yuen*, "Cross-domain Missingness-aware Time Series Adaptation with Similarity Distillation in Medical Applications," IEEE Transactions on Cybernetics (TCYB), 2022. (中科院SCI分区：1区；IF：19.118；CCF-B期刊)

[7] Baoyao Yang and Pong C. Yuen*, "Learning Adaptive Geometry for Unsupervised Domain Adaptation," Pattern Recognition (PR), 2021. (中科院SCI分区：1区；IF：8.518；CCF-B期刊)

[8] Baoyao Yang, Andy J. Ma and Pong C. Yuen*, "Learning Domain-Shared Group-Sparse Representation for Unsupervised Domain Adaptation," Pattern Recognition (PR), 2018. (中科院SCI分区：1区；IF：8.518；CCF-B期刊)

[9] Baoyao Yang, Andy J. Ma and Pong C. Yuen*, "Body Parts Synthesis for Cross-Quality Pose Estimation." IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2019. (中科院SCI分区：1区；IF：5.859；CCF-B期刊)

[10] Jiangchao Wang, Baoyao Yang*, Siqi Liu, Xiaoqi Zheng, Wenbin Yao* and Junxiang Chen, "CAM-interacted Vision GNN for Multi-label Medical Images," IEEE Journal of Biomedical and Health Informatics (JBHI), 2025. (中科院SCI分区：1区；IF：6.670；CCF-C期刊)

[11] Jianxuan Huang, Baoyao Yang*, Kejing Yin, Jingwen Xu, "DNA-T: Deformable Neighborhood Attention Transformer for Irregular Medical Time Series," IEEE Journal of Biomedical and Health Informatics (JBHI), 2024. (中科院SCI分区：1区；IF：6.670；CCF-C期刊)

会议论文

[1] Xianrun Xu, Baoyao Yang*, Wanyun Li, Jingsong Lin, Yufei Xu, "Simple but Effective: Sub-Volume Contrastive Learning for Class-Imbalanced Semi-Supervised 3D Medical Image Segmentation," the 33rd ACM International Conference on Multimedia (ACM MM), 2025. (CCF-A会议)

[2] Baoyao Yang and Pong C. Yuen*, "Cross-Domain Visual Representations via Unsupervised Graph Alignment," the 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019. (CCF-A会议)

[3] Baoyao Yang, Andy J. Ma and Pong C. Yuen*, "Domain-shared Group-sparse Dictionary Learning for Unsupervised Domain Adaptation," the 32nd AAAI Conference on Artificial Intelligence (AAAI), 2018. (CCF-A会议)

[4] Baoyao Yang, Junxiang Chen, Wenbin Yao, "Unlocking the Potential of mLLMs: Enhancing Video-Text Retrieval through Caption Supplementation and Conical Embedding Optimization," the 28th European Conference on Artificial Intelligence (ECAI), 2025. (CCF-B会议, Oral Presentation)

[5] Zhixiang Fang, Baoyao Yang*, Weide Zhan, Yanchao Tang, Yiqun Zhang, "FairFed++: Closing the Fairness Gap in Federated Learning through Self-Evolving Clustered Optimization," the 28th European Conference on Artificial Intelligence (ECAI), 2025. (CCF-B会议, Oral Presentation)

[6] Kexin Xie, Baoyao Yang*, Wanyun Li, and Fei Lyu, "Uncertainty Reactivation: Dynamic Contrastive Correction for Semi-Supervised Medical Image Segmentation," IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. (CCF-B会议)

[7] Xiaoqi Zheng, Baoyao Yang*, Xiuwen Fang, Xiuwen Fang, Mang Ye, "Image-assisted Label Connective Completion for Vessel Segmentation with Insufficient Annotations,"  IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025. (CCF-B会议)

[8] Yanhao Huang, Baoyao Yang*, Junxiang Chen, Wenbin Yao, Dixin Chen, "Unifying Spatio-Temporal Contexts for Advanced Text-Video Retrieval", IEEE International Conference on Multimedia and Expo (ICME), 2025. (CCF-B会议)

[9] Xiaochen He, Baoyao Yang*, Fei Lyu, "MMS: Morphology-mixup Stylized Data Generation for Single Domain Generalization in Medical Image Segmentation," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024. (CCF-B会议, Oral Presentation)

[10] Dongzhe Li, Baoyao Yang*, Weide Zhan, Xiaochen He, "Multi-category Graph Reasoning for Multi-modal Brain Tumor Segmentation," Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024. (CCF-B会议)

[11] Yuebin Xie, Xiaochen He, Baoyao Yang*, Fei Lyu, Siqi Liu, "CAM-Guided translation for unpaired weakly-supervised medical image segmentation," IEEE International Conference on Multimedia and Expo (ICME), 2024. (CCF-B会议)

[12] Fei Lyu, Baoyao Yang, Andy J. Ma and Pong C. Yuen*, "A Segmentation-Assisted Model for Universal Lesion Detection with Partial Labels," International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI), 2021. (CCF-B会议)

[13] Yi Li, Baoyao Yang, Dan Pan, An  Zeng, Yang Yang, "Early diagnosis of Alzheimer's disease based on multimodal hypergraph attention network", International Conference on Multimedia and Expo (ICME), 2023. (CCF-B会议)

【科研项目】

l 国家自然科学基金,面上项目,62472105, 弹性医学联邦学习与攻击防御关键技术研究，2025-01 至 2028-12,50万元, 在研, 主持

l 国家自然科学基金,青年科学基金项目,62102098,基于多模态时间序列表征学习的肝癌早期风险预测算法研究,2022-01 至 2024-12,30万元, 在研, 主持

l 国家重点研发计划，工业软件专项，2023YFB3308700，产业聚集区域业务资源服务工业软件平台,2023-12-01 至 2026-11-31, 3500万（50万），在研，子课题负责人

l 广东省自然科学基金委,广东省基础与应用基础研究基金面上项目，非侵入式冠状动脉病变的智能定位与评估关键技术研究, 2024A1515010186,2024-01 至 2026-12,15万,在研，主持

l 广东省自然科学基金委,广东省基础与应用基础研究基金面上项目，多模态医学大模型设计与医学影像自动标注技术研究, 2025A1515011385, 2025-01至2027-12,10万，主持

l 广东省自然科学基金委,粤港澳应用数学中心青年启动项目，基于可解释性DNN的影像辅助归因技术探索直肠癌病程发展规律, 2025-07至2027-06,5万，主持

l 广东省自然科学基金委,广东省基础与应用基础研究基金区域联合基金项目, 2022A1515140096, 多源异构热处理数据智能联网及其保护的关键技术研究, 2022-10 至 2025-09, 30 万元,在研,校内主持

l 广州市科技局,广州市基础与应用基础研究项目,202201010266,肝活检图像的多类病变细胞弱监督自动检测算法研究,2022-04 至 2024-03,5 万元,已结题,主持

l 广东工业大学,交叉学科培育项目,面向工业物联网的数据保护与协同学习关键技术研究,2022-07 至 2024-07, 5 万元,已结题,主持

l 广东省科技厅，重点领域研发计划“绿色生物制造”重点专项, 合成生物基因数据库的建立与查询工具的研发，2024B1111140001，2024-01 至 2026-12, 1000 万元,在研,参与

l 国家自然科学基金,面上项目, 62572131，辅助发现阿尔茨海默症大脑神经退化模式的深度学习模型及可解释性研究，2026-01 至 2029-12,50万元, 在研, 参与

l 广东省自然科学基金委,广东省基础与应用基础研究面上项目, 2022A1515011592,基于复杂异构特征医学数据挖掘的脓毒症智能预测方法研究, 2022-01 至 2024-12,10 万元,在研,参与

【奖项】

l 2023年度广东省科技进步二等奖, 复杂场景医学影像智能分类分割关键技术与应用（个人排名：4）

l 2023年第十八届“挑战杯”全国大学生课外学术科技作品竞赛“揭榜挂帅”专项赛，国家级一等奖（指导老师）

【发明专利】

1) 杨宝瑶,黄彦浩,陈涤新，一种基于时空信息聚合的视频特征提取模型训练方法、系统及特征提取方法，2025-09-09,中国, ZL202510359255.5

2) 杨宝瑶,麻亚利,詹伟德,唐彦超,卢泽坚，一种联邦学习场景下的检测噪声标注的方法及系统，2025-09-05,中国, ZL202510375049.3

3) 甘孟坤;潘丹;曾安;杨宝瑶;张逸群，一种主动脉弓再缩窄的预后方法及系统，2025-04-01,中国, ZL202210655677.3

4) 杨宝瑶; 陈俊祥; 黄彦浩; 姚文彬，一种基于多模态大模型的视频-文本检索方法, 2025-06-13,中国, ZL202411271756.X

5) 杨宝瑶；郑晓琦，一种噪声标注的血管图像分割方法及系, 2025-02-11, 中国, ZL 202311792631.7

6) Dan Pan, An Zeng, Baoyao Yang, Method for extracting neuroimaging biomarker based on interpretable ensemble 3dcnn, US Patent App. 18/450,338, 2024.

7) 詹伟德; 杨宝瑶; 方志祥; 李东哲; 胡子逸; 吴恺盈; 一种基于多级智联的数据异构性联邦学习方法及存储介质, 2024-06-21,中国, ZL 202410159303.1

8) 潘丹; 曾安; 杨宝瑶; 基于可解释集成 3DCNN 的神经影像学生物标志物的提取方法, 2022-11-22,中国, ZL202210987102.5

9) 曾安; 谢锐伟; 潘丹; 杨宝瑶; 张逸群; 一种心脏图像分割方法及系统, 2022-04-22, 中国,ZL202210030012.3

10) 潘丹; 罗琳; 曾安; 廖清青; 杨宝瑶; 张逸群; 一种基于多头两级注意力的三维点云语义分割方法, 2022-11-04, 中国, ZL202210709918.8

【本科生培养】

Ø 穆跃鑫 -- 19级机器人学院本科生，研究方向为机器学习与数据挖掘。申请国家发明专利1项，获优秀毕业设计，被保送至重庆大学；

Ø 何晓琛 -- 20级软件工程（卓越班），研究方向为医学图像处理与单域泛化，发表CCF-B类会议ICASSP2024发表论文一篇；

Ø 王敬超 -- 21级人工智能专业，研究方向为机器学习与数据挖掘。研究方向为深度学习与数据挖掘，以第一作者在CCF-A类会议SIGKDD 2024和ACMMM 2024各发表论文一篇，JBHI论文一篇，荣获科技创新奖学金，被保送至北京大学计算机科学与技术专业（博士）；

Ø 詹伟德 -- 21级别计算机科学与技术（伏羲班），研究方向为联邦学习。授权国家发明专利1项，实审2项，获省级赛事奖项2项目，参与发表CCF-B类会议MICCAI 2024论文一篇。连续两年获得校一等奖学金，国家优秀学生奖学金。被保送至复旦大学电子信息专业（博士）；

Ø 李东哲 -- 21级别计算机科学与技术（伏羲班），研究方向为医学图像分割技术，发表TMM（CCF-B）论文一篇,医学信息处理顶会MICCAI 2024（CCF-B）论文一篇，IJCAI-HBAI发表论文一篇；

Ø 方志祥 -- 21级别计算机科学与技术，研究方向为联邦学习公平性问题，发表ECAI 2025（CCF-B）论文一篇；

【教学活动】

本科生课程：机器学习与人工智能，机器学习

研究生课程：模式识别

【更多发表论文附录】

[1] Zhengrong Chen, Qinghua Zhu*, An Zeng, Yuzhu Ji, Baoyao Yang, Dan Pan, " Action Decomposition-based Actor-Critic for Supply Chain Optimization", IEEE International Conference on Multimedia and Expo (ICME), 2025. (CCF-B会议)

[2] Weide Zhan, Baoyao Yang*, "FedCD: A Hybrid Federated Learning Framework for Adaptive Training under Data Heterogeneity", Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2025 (CCF-C会议， Oral Presentation)

[3] Yali Ma, Baoyao Yang*, Yanchao Tang, Weide Zhan, Wenyin Yang, "Harnessing Feature Distribution Consistency for Federated Learning with Noisy," IEEE International Conference on Image Processing (ICIP), 2025. (CCF-C会议， Oral Presentation)

[4] ZhiQi Liu, QingHua Zhu*, An Zeng, YuZhu Ji, BaoYao Yang, "Multi-Agent Reinforcement Learning Algorithm Using Dynamic OW-QMIX in Complex Supply Chain Scenarios," IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC), 2025.

[5] Yuehui Fan, Baoyao Yang*, Meng Shen, Fei Lyu, "Domain Dilation for Single Domain Generalization," IEEE International Conference on Image Processing (ICIP), 2024. (CCF-C会议，Oral Presentation)

[6] Dongzhe Li, Baoyao Yang*, Yuebin Xie, Weide Zhan and Jingsong Lin, "Multi-category Brain Tumor Segmentation via Multi-scale and Cross-category Relation Modeling," HBAI2024: JJCAI Workshop on Human Brain and Artificial Intelligence, 2024. (Oral Presentation)

[7] Hao-wei Yeh, Baoyao Yang, Pong C. Yuen and Tatsuya Harada*, "SoFA: Source-data-free Feature Alignment for Unsupervised Domain Adaptation," the IEEE Winter Conference on Applications of Computer Vision (WACV), 2021.

[8] Dan Pan; Genqiang Luo, An Zeng*; Chao Zou, Haolin Liang, Jianbin Wang, Tong Zhang, Baoyao Yang, "Adaptive 3DCNN-Based Interpretable Ensemble Model for Early Diagnosis of Alzheimer's Disease", IEEE Transactions on Computational Social Systems, 2022. (期刊论文，中科院SCI分区：1区；IF：4.747)

[9] Qingxiong Tan, Mang Ye, Baoyao Yang and Pong C. Yuen*, "DATA-GRU: Dual-Attention Time-Aware Gated Recurrent Unit for Irregular Multivariate Time Series," the 34th AAAI Conference on Artificial Intelligence (AAAI), 2020. (CCF-A会议)

[10] Qingxiong Tan, Mang Ye, Andy Jinhua Ma, Baoyao Yang, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong and Pong C Yuen*, "Explainable Uncertainty-Aware Convolutional Recurrent Neural Network for Irregular Medical Time Series," the IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020. (中科院SCI分区：1区；IF：14.255；CCF-B期刊)

[11] Dan Wang, Chu Han, Zhen Zhang, Tiantian Zhai, Huan Lin, Baoyao Yang, et al., "FedDUS: Lung tumor segmentation on CT images through federated semi-supervised with dynamic update strategy," Computer Methods and Programs in Biomedicine, 2024. (中科院SCI分区：2区；IF：4.8)

[12] Qingxiong Tan, Andy Jinhua Ma, Mang Ye, Baoyao Yang, Huiqi Deng, Vincent Wai-Sun Wong, Yee-Kit Tse, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, Jessica Yuet-Ling Ching, Francis Ka-Leung Chan, and Pong C Yuen*, "UA-CRNN: Uncertainty-Aware Convolutional Recurrent Neural Network for Mortality Risk Prediction," the 28th ACM International Conference on Information and Knowledge Management (CIKM), 2019. (CCF-B会议)

[13] Siqi Liu, Baoyao Yang and Pong C. Yuen*, Guoying Zhao, "A 3D Mask Face Anti-Spoofing Database with Real World Variations," Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016.

[14] Yang Yu, Baoyao Yang and Pong C. Yuen*, "Torso Orientation: A New Clue for Occlusion-Aware Human Pose Estimation," the 24th European Signal Processing Conference (EUSIPCO), 2016.

[15] Grace Lai-Hung Wong*, Qingxiong Tan, Yee-Kit Tse, Baoyao Yang, Terry Cheuk-Fung Yip, Chong Yin, Vicki Wing Ki Hui, et al., "Machine Learning Models to Predict Hepatocellular Carcinoma in Patients with Chronic Viral Hepatitis – A Territory-wide Study from Hospital Authority Data Collaboration Lab (HADCL) in 2000-2017," Hepatology, 2020, 72:07030-5774. (中科院SCI分区：1区；IF：14.679)

[16] Grace Lai-Hung Wong*, Vicki Wing Ki Hui, Qingxiong Tan, Jingwen Xu, Hye Won, Terry Cheuk-Fung Yip, Baoyao Yang, Yee-Kit Tse, Chong Yin, Fei Lyu, "Novel machine learning models outperform risk scores in predicting hepatocellular carcinoma in patients with chronic viral hepatitis," JHEP Reports, 2022. (中科院SCI分区：1区；IF：8.3)

[17] Li Ma, Zhenghao Yu, Wenyin Yang, Sipei Wu, Meifang Xie, Baoyao Yang, Chunrong Lai, A Data-Free Backdoor Attack Approach in Self-supervised Models, International Conference on Ubiquitous Security, 2025, 16-29.

[18] Li Ma, Zhaoxiong Bu, Wenyin Yang, Jihui Li, Zhongrong Zeng, Baoyao Yang, An Optimized Intrusion Detection Scheme for Industrial Control Systems in IIOT, International Symposium on Artificial Intelligence and Intelligent Manufacturing (AIIM), 2024.

[19] 曾安,赖刚勇,杨宝瑶*.多级优选的阿尔茨海默症早期诊断方法[J].计算机应用与软件.2023.

[20] 梁浩霖,潘丹,曾安,杨宝瑶 Xiaowei Song.个性化动态集成的阿尔茨海默症辅助诊断模型[J/OL].计算机工程与应用.2023.

[21] 曾安,赖峻浩,杨宝瑶*,潘丹.基于多尺度卷积和注意力机制的病理图像分割网络[J]. 广东工业大学学报. 2024

[22] 曾安,林先扬,赵靖亮,潘丹,杨宝瑶,刘鑫. 基于强化学习的B型主动脉夹层定位方法[J].生物医学工程学杂志2024