I am currently a postdoctoral researcher, starting in December 2024. I completed my Ph.D. in 2024 from the Department of Computing at The Hong Kong Polytechnic University (HK PolyU). Before that, I graduated with a B.Eng in Computer Science and Technology from the Southern University of Science and Technology (SUSTech) in 2019. My research interests focus on the performance, enhancing privacy protection, and improving energy efficiency of Edge Computing Systems, on applications in Video Analytics Systems and Large Language Model Inference.

📝 Publications

Conference Papers

• ECCAI'25

  Workshop

  ECSAM: An Edge-cloud Video Analytics Architecture for the Segment Anything Model
  Rui Lu, S. Shi, and D. Wang
  Proc. of ACM ECCAI Workshop of The 21th CoNEXT 2025, Hong Kong, Dec. 2025

  [Paper]
• HotCarbon'25

  Workshop

  A Thermal-aware Workload Scheduler for High-performance LLM Inference in Cooling-regulated Datacenters
  Rui Lu and D. Wang
  Proc. of the 4th Workshop on Sustainable Computer Systems, Cambridge, MA, US, July 2025

  [Paper]
• AAAI'25

  ORAL

  VVRec: Reconstruction Attacks on DL-based Volumetric Video Upstreaming via Latent Diffusion Model with Gamma Distribution
  Rui Lu, B. Zhang, and D. Wang
  Proc. of the 39th Annual AAAI Conference on Artificial Intelligence, PHL, PA, US, Feb. 2025

  [Paper] [Slides] [Video] [Poster]
• MM'23

  Pagoda: Privacy Protection for Volumetric Video Streaming through Poisson Diffusion Model
  Rui Lu, L. Wei, S. Zhu, C. Hu, D. Wang
  Proc. of the 31st ACM International Conference on Multimedia, Ottawa, Canada, Oct. 2023

  [Paper] [Slides]
• SEC'22

  Preva: Protecting Inference Privacy through Policy-based Video-frame Transformation
  Rui Lu, S. Shi, D. Wang, C. Hu, and B. Zhang
  Proc. of the 7th IEEE/ACM Symposium on Edge Computing, Seattle, WA, US, Dec. 2022

  [Paper] [Slides]
• SEC'22

  Gemini: a Real-time Video Analytics System with Dual Computing Resource Control
  Rui Lu, C. Hu, D. Wang, and J. Zhang
  Proc. of the 7th IEEE/ACM Symposium on Edge Computing, Seattle, WA, US, Dec. 2022

  [Paper] [Slides]

Journals

• TMC'25

  LVMScissor: Split and Schedule Large Vision Model Inference on Mobile Edges via Salp Swarm Algorithm
  Y. Liu, Rui Lu *, D. Wang
  IEEE Transactions on Mobile Computing, vol. 24, no. 8, pp. 7538-7553, May 2025

  [Paper]
• TC'23

  An Edge-side Real-time Video Analytics System with Dual Computing Resource Control
  C. Hu, Rui Lu, Q. Sang, H. Liang, D. Wang, D. Cheng, J. Zhang, Q. Li, and J. Peng
  IEEE Transactions on Computers, vol. 72, no. 12, pp. 3399-3415, Dec. 2023

  [Paper]
• IEEE Network

  FEVA: A FEderated Video Analytics Architecture for Networked Smart Cameras
  C. Hu, Rui Lu, and D. Wang
  IEEE Network, special issue on Interplay Between Machine Learning and Networking Systems, vol. 35, no. 6, pp. 163-170, Nov./Dec. 2021

  [Paper]

Patents

• ZL202210087349.8

  An accelerator based on multi-image FPGAs, an acceleration implement method, a terminal device and a computer-readable storage medium
• ZL20172049378.0

  A new type of 3D printer nozzle structure and 3D printer
• ZL201721384825.3

  A new type of soil environment monitoring system

📖 Education

• Sept. 2020 - Nov. 2024, Ph.D., Department of Computing, The Hong Kong Polytechnic University, Hong Kong.
• Sept. 2015 - Jun. 2019, Bachelor of Engineering, Department of Computer Science and Technology, Southern University of Science and Technology, Shenzhen, China.

🏔️ Mountaineering and Trekking

Mount Siguniang II Peak (5276m)

四川阿坝藏族羌族自治州小金县四姑娘山-二峰

June 2024 @Sichuan, China

Annapurna Base Camp Trek (4130m)

尼泊尔阿纳普尔纳大本营路线(ABC)

Nov. 2024 @Nepal

Mount Fuji Kengamine (3776m)

日本山梨县富士山吉田线-剑锋

July 2025 @Mt. Fuji Yoshida Trail, Japan