杨宝瑶YangBaoyao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】

l2021-01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

l2019-05至2019-07,日本东京大学,机械智能实验室,访问学者

l2018-09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-inducedGeneralization 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 Yangand Pong C. Yuen*, "Revealing Task-relevant Model Memorizationfor 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 FeatureCollaboration 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 StylizedData 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 Yangand 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 Yangand 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, TianziJiang,"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 Yangand 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 Yangand 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 Yangand 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