Runxi Huang

Runxi Huang

2nd year PhD student at HKUST

Intorduction

I am a 2nd year PhD student in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology, supervised by Prof. Xiaomin Ouyang at the MINSys Lab.

Research interests: Efficient Edge AI Systems, Mobile Computing, Multimodal Learning, Mobile GUI Agent

Education

  • Sept. 2024 - present: Ph.D. in Computer Science and Engineering, School of Engineering, Hong Kong University of Science and Technology (HKUST)
  • Sept. 2023 - July 2024: M.Sc. in Computer Control and Automation, School of Electrical and Electronic Engineering, Nanyang Technological University (NTU)
  • Sept. 2018 - July 2023: B.Eng. in Software Engineering, School of Software Engineering, Beihang University (BUAA)

Publications

  • MMEdge: Accelerating On-device Multimodal Inference via Pipelined Sensing and Encoding [paper] [code]
    Runxi Huang, Mingxuan Yu, Mingyu Tsoi, Xiaomin Ouyang
    To appear in Proceedings of the ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems (SenSys), 2026.

  • PipeMLLM: Accelerating On-device Multimodal LLM Inference via Speculative Sensing and Encoding [paper]
    Runxi Huang, Xiaomin Ouyang
    In Proceedings of the 2nd International Workshop on Edge and Mobile Foundation Models (EdgeFM ’25), co-located with MobiCom, Hong Kong, China, November 4–8, 2025.

  • Poster: MMEdge: Real-time Multimodal Inference via Cross-Modal Speculative Sensing and Encoding [paper]
    Runxi Huang, Xiaomin Ouyang
    In Proceedings of the 26th ACM International Workshop on Mobile Computing Systems and Applications (HotMobile ’25), La Quinta, California, USA, February 26–27, 2025.

Award

  • Best Presentation Award in Summer 2025 MINSys Lab Workshop
  • Mathematical Contest In Modeling (MCM/ICM) Certificate of Achievement Successful Participant
  • 3rd Prize of the 31st “Feng Ru Cup” Competition of Academic and Technological Works
  • 3rd Prize of the 29th “Feng Ru Cup” Competition of Innovation

Teaching

  • COMP2211 Exploring Artificial Intelligence: Teaching Assistant
  • COMP2011 Programming with C++: Teaching Assistant

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