研资局高级研究学者计划 | 教资会及研资局奖项

Biography
(只提供英文版)

Professor in Department of Information Engineering at The Chinese University of Hong Kong
Research focuses on creating scalable, efficient AI-powered systems for resource-constrained devices, driving transformative advancements in healthcare, autonomous driving, and beyond
SRFS project — aims to make major technical advancements, ranging from multi-modal perception fusion to an efficient, robust infrastructure-vehicle interaction mechanism. Leveraging the project team’s pioneering work in infrastructure-assisted autonomous driving, and using real-world testing and collaboration with industry partners to explore technology transfer pathways, this project is expected to significantly advance the state of the art in collaborative fusion and vehicle-infrastructure interaction for next-generation autonomous driving systems.
Awards and Honours:
- RGC Senior Research Fellow (2025)
- ACM Fellow (2024)
- IEEE Fellow (2020)
- Research Excellence, Outstanding Fellow, Faculty of Engineering, CUHK (2024)
- Best Paper Awards (ICNP 2010, IPSN 2013, MobiSys, 2023, IPSN 2024)

Project Title
(只提供英文版)

Multi-modal Perception Fusion and Interaction for Infrastructure-assisted Driving Systems

赞词

邢国良教授获此奖项，以表彰他在嵌入式人工智能系统与自动驾驶领域卓著的贡献。邢教授的前瞻性研究致力于将尖端 AI 与真实世界部署紧密结合，尤其聚焦于基础设施辅助的自动驾驶与医疗健康。透过兼具理论严谨与实用性的跨学科研究，他推动了多模态感知与车—基础设施协同框架，为下一代安全高效的自动驾驶解决方案奠定了关键基础。

邢教授的创新使各类资源受限的装置—如传感器、个人穿戴式设备与车辆—具备先进的 AI 能力。过去十年，他主导的研究项目整合 LiDAR、事件相机、雷达，以及基础模型（Foundation Models），以提升感知、语义理解，并强化基础设施与车辆之间的自适应通讯。他的贡献备受肯定，包括当选为 ACM 与 IEEE 两大全球最大计算与电机工程专业学会的会士、于国际顶尖会议获得六项最佳论文奖、荣获美国国家科学基金会CAREER 奖，以及中大研究卓越奖。

其获资助的 SRFS 项目「基础设施辅助驾驶系统的多模态感知融合与交互机制」提出创新的车—边—云架构，以实现无缝多传感器融合与实时推理。该系统将在中大的道路侧基础设施平台上进行大规模实验验证，并与产业伙伴合作，确保其实际应用性与商业化潜力。