I am currently a Ph.D. student in the Translational AI Research Lab at King’s College London (KCL), advised by Dr. Yunpeng Li and Prof. Yulan He.
Before joining KCL, I was a Research Assistant at the Institute for AI Industry Research (AIR), Tsinghua University, where I worked with Prof. Zaiqing Nie and Dr. Haibao Yu on autonomous driving perception, planning, and simulation. I obtained my Master’s degree from the Department of Automation, Tsinghua University under the supervision of Prof. Biqing Huang, focusing on computer vision for industrial defect inspection. I received my Bachelor’s degree (with Honours) from Shenyuan Honors College, Beihang University. These experiences built a strong foundation in multimodal perception and machine learning systems, which now support my current research on medical AI for dental diagnosis.
I have published multiple papers in leading AI conferences and journals, with total 
Current Research Focus: multimodal learning, computer vision, and medical AI, with a focus on dental and healthcare applications.
Advancing Dental Diagnosis through Multimodal AI!
📝 Publications
StyleDrive: Towards Driving-Style Aware Benchmarking of End-to-End Autonomous Driving
Ruiyang Hao, Bowen Jing, Haibao Yu, Zaiqing Nie
The 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026). Project, Video, Ref,
- Novel large-scale real-world personalized driving dataset
- High-quality multi-stage annotation pipeline
- First standardized benchmark for personalized E2EAD
- Significant gains in human-like behavior via personalization
DriveE2E: Closed-Loop Benchmark for End-to-End Autonomous Driving through Real-to-Simulation
Haibao Yu*, Wenxian Yang*, Ruiyang Hao*, Chuanye Wang*, Jiaru Zhong*, Ping Luo, Zaiqing Nie (* means equal contributions)
arXiv: 2509.23922, Under Review. Project, Ref,
- Infra-view-enhanced real2sim framework for realistic closed-loop evaluation.
- 15 high-fidelity digital twins & 800 infra-sensor diverse scenarios.
- Comprehensive closed-loop benchmark with expert dataset for SOTA evaluation and IL training.
Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition
Ruiyang Hao, Haibao Yu, Jiaru Zhong, Chuanye Wang, Jiahao Wang, Yiming Kan, Wenxian Yang, Siqi Fan, Huilin Yin, Jianing Qiu, Yao Mu, Jiankai Sun, Li Chen, Walter Zimmer, Dandan Zhang, Shanghang Zhang, Mac Schwager, Ping Luo, Zaiqing Nie
International Conference on Computer Vision Workshop (ICCVW 2025), 2025, 1828–1839. Project, Video, Ref,
- First V2X challenge combining sequential perception & E2E planning.
- Demonstrated SOTA advances in V2X cooperative perception & E2E planning.
- Key insights on V2X fusion, robust planning, & future V2X system design.
RCooper: A Real-world Large-scale Dataset for Roadside Cooperative Perception
Ruiyang Hao, Siqi Fan, Yingru Dai, Zhenlin Zhang, Chenxi Li, Yuntian Wang, Haibao Yu, Wenxian Yang, Jirui Yuan, Zaiqing Nie
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), 2024, 22347-22357. Project, Video, Ref,
- 1st real-world large-scale dataset for roadside cooperative perception.
- 50k images & 30k point clouds with 3D annotations across 10 semantic classes.
- Benchmarks on 3D detection & tracking with SOTA results, proving effectiveness of cooperation.
Efficient surface defect detection using self-supervised learning strategy and segmentation network
Ronge Xu*, Ruiyang Hao*, Biqing Huang (* means equal contributions)
Advanced Engineering Informatics, 2022, 52: 101566. Ref
- Lightweight defect detection for efficient and accurate industrial inspection.
- Attention & multi-task strategy to enhance defect focus and edge segmentation.
- Self-supervised learning with homographic enhancement and synthetic datasets to reduce annotation cost and improve generalization.
A steel surface defect inspection approach towards smart industrial monitoring
Ruiyang Hao, Bingyu Lu, Ying Cheng, Xiu Li, Biqing Huang
Journal of Intelligent Manufacturing, 2021, 32(7): 1833-1843. Ref
- DIN: steel defect inspection network balancing efficiency and performance.
- Deformable convolution backbone for adaptive feature extraction on diverse defect shapes.
- Balanced feature pyramid fusion for accurate multi-size defect inspection.
Ruiyang Hao, Ying Cheng, Yongping Zhang, Fei Tao
Computers & Industrial Engineering, 2021, 156: 107237. Ref
- Classified hypernetwork & MS-SDR to model diversities in supply-demand.
- MS-SDO optimization to enhance platform stability and utility.
- Knowledge-guided NSGAII algorithm for effective optimization, providing insights for platform management.
-
A Domain Incremental Learning Framework for PCB Continuous Defect Detection, Ze Yan, Ruiyang Hao, Biqing Huang, Lin Zhu, Hui Pan. IEEE Transactions on Instrumentation and Measurement, 2025, 74: 5016613. Ref
-
Incremental Template Neighborhood Matching for 3D anomaly detection, Jiaxun Wang, Xiang Wang, Ruiyang Hao, Haonan Yin, Biqing Huang, Xiao Xu, Jingxian Liu. Neurocomputing, 2024, 581: 127483. Ref
-
Metal surface defect detection method based on improved cascade r-cnn, Yani Wang, Xiang Wang, Ruiyang Hao, Bingyu Lu, Biqing Huang. Journal of Computing and Information Science in Engineering, 2024, 24(4): 041002. Ref
🎖 Honors and Awards
- Oct 2025–Sep 2028, Newland Pedley Studentship, King’s College London.
- Oct 2025, Research Excellence Scholarship, University College London (declined due to enrollment constraints), top 40 Worldwide.
- Dec 2018, National Scholarship, the Top Scholarship in China, top 1%.
- Oct 2022, First-class Excellence Scholarship, Tsinghua University, top 2.5%.
- Oct 2021, First-class Excellence Scholarship, Tsinghua University, top 2.5%.
- Jun 2020, Outstanding Graduate with Honours, Beihang University, top 5%.
- Apr 2019, Meritorious Prize of Interdisciplinary Contest in Modeling, COMAP, top 8%.
- Apr 2018, Meritorious Prize of Interdisciplinary Contest in Modeling, COMAP, top 8%.
📖 Education
- Oct 2025–now, PhD, King’s College London, London, UK.
- Sep 2020–Jun 2023, Master, with 4.00/4.00 GPA (Rank: 1/155), Tsinghua University, Beijing, China.
- Sep 2016–Jun 2020, Bachelor (with Honours), with 3.83/4.00 GPA (Rank: 1/51), Beihang University, Beijing, China.
💻 Internships and RAs
- Jul 2025–Oct 2025, Tuojing Intelligence, Internship: Simulation and Generation in Autonomous Driving.
- Jul 2023–Jul 2025, Tsinghua University, Research Assistant: Perception, Planning and Simulation in Autonomous Driving.
- Jun 2022–Oct 2022, SenseTime Research, Internship: Perception in Unmanned Aerial Vehicle.
💼 Services
- Since 2024, Conference Reviewer for CVPR, NeurIPS, AAAI, ECCV, ICLR, etc.
- Since 2023, Journal Reviewer for Advanced Engineering Informatics, Journal of Industrial Information Integration, Journal of Real-Time Image Processing, The Visual Computer, Signal, Image and Video Processing, etc.
- Jun 2025, Area Chair, CVPR 2025 Workshop on Multi-Agent Embodied Intelligent Systems.
- Oct 2024, Program Committee Member, ECCV 2024 Workshop on Coop-Intelligence.
💬 Talks and Oral Presentations
- Jan 2026, StyleDrive: Towards Personalized End-to-end Autonomous Driving, Annual AAAI Conference on Artificial Intelligence, Singapore.
- Dec 2025, Tooth Bone Loss Estimation Based on 3D CBCT Data, Bellairs Workshop on Machine Learning and Statistical Signal Processing for Data on Graphs, Saint James Parish, Barbados.
- Nov 2025, Real2Sim in Autonomous Driving Systems, Invited Internal Talk, Department of Civil, Environmental and Geomatic Engineering, University College London, London, UK.
- Oct 2025, End-to-End V2X Cooperative Autonomous Driving Challenges, ICCV Workshop on Foundation Models for V2X-Based Cooperative Autonomous Driving, Honolulu, Hawaii, USA.