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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

讚詞

邢國良教授獲此獎項,以表彰他在嵌入式人工智能系統與自動駕駛領域卓著的貢獻。邢教授的前瞻性研究致力於將尖端 AI 與真實世界部署緊密結合,尤其聚焦於基礎設施輔助的自動駕駛與醫療健康。透過兼具理論嚴謹與實用性的跨學科研究,他推動了多模態感知與車—基礎設施協同框架,為下一代安全高效的自動駕駛解決方案奠定了關鍵基礎。

 

邢教授的創新使各類資源受限的裝置—如感測器、個人穿戴式設備與車輛—具備先進的 AI 能力。過去十年,他主導的研究項目整合 LiDAR、事件相機、雷達,以及基礎模型(Foundation Models),以提升感知、語義理解,並強化基礎設施與車輛之間的自適應通訊。他的貢獻備受肯定,包括當選為 ACM 與 IEEE 兩大全球最大計算與電機工程專業學會的會士、於國際頂尖會議獲得六項最佳論文獎、榮獲美國國家科學基金會CAREER 獎,以及中大研究卓越獎。

 

其獲資助的 SRFS 項目「基礎設施輔助駕駛系統的多模態感知融合與交互機制」提出創新的車—邊—雲架構,以實現無縫多感測器融合與即時推理。該系統將在中大的道路側基礎設施平臺上進行大規模實驗驗證,並與產業夥伴合作,確保其實際應用性與商業化潛力。

 

 

 

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