Projects per year
Personal profile
Personal profile
Rui Yang received his Ph.D. degree and B.Eng degree from National University of Singapore (NUS). His research interests are in Industrial AI and Brain-Computer Interface (BCI).
Dr. Yang is named a Highly Ranked Scholar (top 0.05%) in Transfer Learning by ScholarGPS, ranking 8th globally over the past five years, and is the Director of Centre for Intelligent Control and Optimization (XJTLU-AUO Collaborative Research Centre). Dr. Yang serves as Associate Editor for esteemed international SCI/ESCI indexed journals, including IEEE Transactions on Instrumentation and Measurement (IF=7.0), Neurocomputing (IF=6.7), Cognitive Computation (IF=7.4) and International Journal of Network Dynamics and Intelligence (IF=15.3).
Dr. Yang is recruiting PhD, MRes/MSc, and UG Students in directions:
- Artificial Intelligence in Brain-Computer Interface
- Intelligent Optimization of Engineering System
- Human-Machine Interaction in Robot/Virtual Reality
Students working with me usually can publish paper as the first author in top journals (such as IEEE TII, IEEE TCYB, IEEE TITS, IEEE TMC, IEEE TNSRE, IEEE TAI, IEEE TIM, IEEE TVCG, IEEE TCDS, IEEE TETCI, IEEE TOG, IEEE/CAA JAS, Neurocomp, CEP) and top conferences (such as IEEE VR, UIST, ISMAR, IJCNN).
For students who are interested in doing projects related to the above directions, please feel free to send me an email: R.Yang@xjtlu.edu.cn
杨瑞,新加坡国立大学博士,现任西交利物浦大学智能工程学院高级副教授、博士生导师、智能控制与优化校级研究中心主任、苏州市人工智能创新应用实验室副主任。入选2025年ScholarGPS全球顶尖学者榜单,在迁移学习方向被评为近5年全球前0.05%顶尖学者,位列全球第8名。长期致力于工业智能和脑机接口方向研究,已主持完成国家自然科学基金、山东省优秀中青年科学家科研奖励基金项目、苏州市重点产业技术创新项目等10余项,累计主持科研经费超过600万元。已获山东省自动化学会科学技术奖自然科学一等奖、西交利物浦大学科研卓越奖等,入选江苏省双创计划海外高层次人才引进计划、江苏高校青蓝工程优秀青年骨干教师培养对象。在IEEE TII、TITS、TCYB、TMC、TNSRE、TETCI、TIM、TVCG、TOG、TCDS、TAI、IEEE/CAA JAS等国内外期刊及学术会议发表论文190余篇,其中SCI收录80余篇,IEEE汇刊30余篇,谷歌学术引用超4000次,H-index 28,1篇论文入选ESI热点论文(前0.1%),5篇论文入选ESI高被引论文(前1%);获得国家授权发明专利10项;出版英文专著1部(CRC Press);担任四个国际期刊副主编:IEEE TIM(影响因子7.0)、Neurocomputing(影响因子6.7)、Cognitive Computation(影响因子7.4)、IJNDI(影响因子15.3),中国人因工效学智能交互与体验专委会委员、脑机接口产业联盟专家委员库成员。
在已毕业博士生中,继续在大学从事科研工作的有:
1. 张源远:26年入选欧盟“玛丽·居里学者”人才计划
2. 陈绍志:26年入职中国人民解放军海军航空大学青岛校区担任讲师
3. 薛义豪:26年入职广州大学机械与电气工程学院担任讲师
4. 汪柳:25年入职东华大学机械工程学院担任讲师
5. 万子桐:25年入职滁州学院计算机与信息工程学院担任讲师
6. 陈霄汉:24年入职塞浦路斯大学在Marios M. Polycarpou院士团队担任博士后研究员
在已毕业硕士生中,在境内境外大学继续读博深造的有:
1. 李骏:26年被北京协和医学院录取读博
2. 崔纪平:26年被华东师范大学录取读博
3. 历福民:25年被复旦大学录取读博
4. 尤俊贤:25年获英国格拉斯哥大学奖学金资助读博
5. 展一帆:25年获西交利物浦大学奖学金资助读博
6. 陈致格:24年获香港理工大学奖学金资助读博
7. 刘子奇:24年获美国得克萨斯大学达拉斯分校奖学金资助读博
8. 蒋梓涵:24年被同济大学录取读博
9. 倪少轩:24年被东北大学录取读博
10. 朱隆昇:24年被中国人民公安大学录取读博
11. 陈继政:24年被南方科技大学录取读博
12. 覃诚轩:23年获西交利物浦大学奖学金资助读博
13. 魏铭南:22年获香港科技大学(广州)奖学金资助读博
14. 杨政霓:22年获西交利物浦大学奖学金资助读博
15. 王旭颖:21年被中南大学录取读博
16. 崔杰:20年获香港科技大学(广州)奖学金资助读博
Research interests
Industrial AI and Brain-Computer Interface (BCI)
Experience
Associate Professor, Xi’an Jiaotong-Liverpool University, China
Associate Professor, Shandong University of Science and Technology, China
Teaching Assistant, National University of Singapore, Singapore
Software Engineer, Accenture, Singapore
Teaching
INT202 Complexity of Algorithms
INT301 Bio-Computation
Awards and honours
2024, 2nd-Class Award in Artificial Intelligence Natural Science Award, Suzhou Artificial Intelligence Association
2024, Research Excellence Award, Xi'an Jiaotong-Liverpool University
2024, 1st-Class Award in Natural Science Award, Shandong Automation Association
2021, Provincial Talent Programme Qinglan Project, Jiangsu
2020, Provincial Innovation Entrepreneurship Talent, Jiangsu
2015, Key Member of Taishan Scholar Project, Shandong
2008-2022, National University of Singapore Research Scholarship, Singapore
2004-2008, Ministry of Education Scholarship, Singapore
Related documents
Education/Academic qualification
PhD, National University of Singapore, Singapore
B.Eng, National University of Singapore, Singapore
Research areas
- Transfer Learning & Domain Adaptation
- Intelligent Control
- Brain-Computer Interface
- Human Machine Interaction
Person Types
- Staff
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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SDG 7 Affordable and Clean Energy
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SDG 9 Industry, Innovation, and Infrastructure
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Collaborations and top research areas from the last five years
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Research on Multimodal Knowledge Transfer Methods for Cross-Domain Heterogeneous Brain-Computer Interfaces
Yang, R. (PI)
1/06/26 → 31/05/28
Project: Governmental Research Project
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Mind's Wing: Innovating Brain-Drone Interaction Paradigms with Digital Twin
Huang, M. (PI), Yang, R. (CoPI) & Zhang, Q. (CoPI)
1/03/26 → 28/02/27
Project: Internal Research Project
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Cross-Domain Fault Diagnosis Based on Machine Learning
Yang, R. (PI)
1/01/26 → 31/12/28
Project: Internal Research Project
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Research on adaptive alignment and robust optimization algorithm for brain-computer-environment multimodal collaborative monitoring
Yang, R. (PI) & Huang, M. (CoI)
31/05/25 → 30/11/26
Project: Governmental Research Project
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Optimizing human-robot interaction in a brain-computer interface based walking assist robot system
Huang, M. (PI), Yang, R. (Team member), Wan, Z. (Team member), Wang, L. (Team member), Sun, W. (Team member), Zheng, Y. (Team member) & Lu, A. (Team member)
1/01/24 → 31/12/26
Project: Internal Research Project
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CoWS: Self-Supervised Representation Pre-Training for Cross-Machine Fault Diagnosis
Chen, X., Yang, R., Xue, Y. & Wang, Z., 2026, (Accepted/In press) In: IEEE Transactions on Emerging Topics in Computational Intelligence.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
DC-Diff: A Diffusion-Based Network for Panchromatic Sharpening With Cross-Domain Feature Guidance
Shi, B., Xing, J., Jiang, Z. & Yang, R., 2026, In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 19, p. 688-701 14 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Deep learning in auditory attention decoding: A systematic review
Yang, J., Huang, M. & Yang, R., 12 Mar 2026, In: Systems Science and Control Engineering. 14, 1, 2640250.Research output: Contribution to journal › Review article › peer-review
Open Access -
Enhancing Material Characterization: Multifidelity Deep Neural Network for Stress-Strain Curve Prediction From Small Punch Test Data
Yang, Z., Yang, R., Han, W., Kang, W., Chen, X., Dong, R., Zhang, J., Tong, C. & Kong, J., 2026, In: IEEE Transactions on Instrumentation and Measurement. 75, 6002214.Research output: Contribution to journal › Article › peer-review
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Enhancing Material Characterization: Multi-Fidelity Deep Neural Network for Stress-Strain Curve Prediction from Small Punch Test Data
Yang, Z., Yang, R., Han, W., Kang, W., Chen, X. & Dong, R., Mar 2026, In: IEEE Transactions on Instrumentation and Measurement.Research output: Contribution to journal › Article › peer-review
Activities
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Multimodal Integration of Motor Imagery BCI with Adaptive VR Environments for Assistive Robotics
Yang, R. (Supervisor)
Jun 2025 → Aug 2025Activity: Supervision › Completed SURF Project
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Deep Transfer Learning-based Fault Diagnosis in High-Speed Train
Yang, R. (Supervisor)
Jun 2025 → Aug 2025Activity: Supervision › Completed SURF Project
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Towards a user-centric virtual reality system with brain-computer interface and adaptive interaction mechanisms
Huang, M. (Supervisor), Yang, R. (Co-supervisor), Yue, Y. (Co-supervisor) & Yang, C. (Co-supervisor)
1 Mar 2025Activity: Supervision › PhD Supervision
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Optimizing Human-Robot Interaction in a Brain-Computer Interface based Walking Assist Robot System
Huang, M. (Supervisor), Yang, R. (Co-supervisor), Yue, Y. (Co-supervisor) & Yang, C. (Co-supervisor)
1 Jan 2025Activity: Supervision › PhD Supervision
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Fault Diagnosis Based on Incomplete Multi-Modal Learning
Yang, R. (Supervisor), Wen, H. (Co-supervisor) & Yang, C. (Co-supervisor)
Jan 2025Activity: Supervision › PhD Supervision