Cai Xuan | Engineering and Technology | Research Excellence Award

Mr. Cai Xuan | Engineering and Technology | Research Excellence Award

Beihang University | China

Cai Xuan is a doctoral researcher in transportation engineering with a strong background in mechanical engineering and a research focus on autonomous driving safety, intelligent testing, and AI-driven decision making. He is currently pursuing a PhD at Beihang University after completing his master’s and bachelor’s degrees in Mechanical Engineering at Hunan University. His research experience spans adversarial reinforcement learning, large language model–based scenario generation, energy management for hybrid vehicles, and safety-critical testing frameworks for autonomous vehicles. He has served as lead or co-author on multiple peer-reviewed publications in high-impact journals and top-tier conferences, including IEEE Transactions on Intelligent Vehicles, Energy, Automotive Innovation, and IEEE Intelligent Vehicles Symposium. His scholarly output has resulted in 7 published papers, an h-index of 3, and over 16citations, reflecting growing academic influence in intelligent transportation systems. His work has demonstrated significant improvements in robustness, vulnerability discovery, and real-time performance of autonomous and electrified vehicle systems. He is the recipient of multiple academic scholarships and competitive research awards at both undergraduate and graduate levels. Overall, his research contributes practical and theoretical advances toward safer, more reliable, and intelligent mobility systems.

Citation Metrics (scopus)

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Featured Publications


Koma: Knowledge-driven Multi-agent Framework for Autonomous Driving with Large Language Models
K. Jiang, X. Cai, Z. Cui, A. Li, Y. Ren, H. Yu, H. Yang, D. Fu, L. Wen, P. Cai.
IEEE Transactions on Intelligent Vehicles, 2024.


Adversarial Stress Test for Autonomous Vehicle via Series Reinforcement Learning Tasks with Reward Shaping
X. Cai, X. Bai, Z. Cui, P. Hang, H. Yu, Y. Ren.
IEEE Transactions on Intelligent Vehicles, 2024. (Citations: 15)


Text2Scenario: Text-driven Scenario Generation for Autonomous Driving Test
X. Cai, X. Bai, Z. Cui, D. Xie, D. Fu, H. Yu, Y. Ren.
Automotive Innovation, 2026, 1–26. (Citations: 14)

Biomimetic Multi-UAV Swarm Exploration with U2U Communications Under Resource Constraints
Y. Huang, H. Wang, X. Bai, X. Cai, H. Yu, Y. Ren.
IEEE Transactions on Vehicular Technology, 2025. (Citations: 5)

Liu Ying | Mechanical Engineering | Research Excellence Award

Dr. Liu Ying | Mechanical Engineering | Research Excellence Award

East China Jiaotong University | China

Ying Liu is a dedicated researcher and Lecturer specializing in vehicle engineering with a strong academic trajectory and growing research impact, reflected in an h-index of 2, 4 published documents, and 14 citations across indexed platforms. She earned a combined Master’s and PhD degree in Mechanical Engineering from Shanghai University, followed by a Bachelor’s degree in Mechanical Design, Manufacturing and Automation from Changchun Institute of Technology. Her professional career includes serving as a Lecturer at East China Jiaotong University, where she contributes to teaching, mentoring, and interdisciplinary research. Her work focuses on target optimization, image detection, reinforcement learning, computer vision, intelligent control, and smart vehicle technologies. She has completed five research projects, contributed to two national-level and multiple provincial and horizontal projects, and actively engages in consultancy with ten industry-linked initiatives. She has authored seven SCI-indexed papers, produced twenty-five patents, and participated in major scientific collaborations including a project funded with 5 million yuan. As a recipient of Jiangxi’s Early-Career Young Talents Program, she continues to advance innovation in intelligent vehicle systems. She remains committed to impactful research, advancing engineering applications, and contributing to societal and technological development.

Profile : Scopus

Featured Publications

Liu, Y., & [Co-author(s) if any]. (2025). Continuous path tracking of robots based on positioning error compensation with iterative learning control. IEEE Transactions on Instrumentation and Measurement.