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
团队介绍：https://cs.gdut.edu.cn/info/2724/3884.htm
【教育背景】
（1） 2014-08 至 2018-08, 香港浸会大学, 计算机科学, 博士
（2） 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】
l 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
l 2019-05 至 2019-07, 日本东京大学, 机械智能实验室, 访问学者
l 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
【主要论文】
[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, 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, 2022. (中科院SCI分区：1区；IF：7.231；CCF-A期刊)
[3] 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)
[4] 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)
[5] 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)
[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, 2022. (中科院SCI分区：1区；IF：19.118；CCF-B期刊)
[7] 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)
[8] 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)
[9] 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)
[10] 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)
[11] 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)
[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)
[14] 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.
[15] 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)
[16] 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)
[17] 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)
[18] 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)
[19] 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)
[20] 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.
[21] 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.
[22] 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)
[23] 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)
[24] 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。
[25] 梁浩霖,潘丹, 曾安,杨宝瑶.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.
【科研项目】
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），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,2024-01 至 2026-12,15万，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,在研,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,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 2025-12,10 万元,在研,参与
【发明专利】
1) 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
2) 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
3) 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- 1 1-04, 中国, ZL202210709918.8
【教学活动】
本科生课程：机器学习与人工智能，机器学习，智能移动应用开发
研究生课程：模式识别
