Wenqiang Deng

Ph.D. Student at Shenzhen University

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Shenzhen University

Shenzhen, China

I am a Ph.D. student at Shenzhen University.

Before joining Shenzhen University, I received my M.Eng. in Computer Technology from Changsha University of Science and Technology, where my research focused on edge computing, Service Function Chain (SFC) deployment, and VNF deployment and migration. I later worked as a full-time lecturer at the Guangzhou College of Applied Science and Technology.

My current research interests include embodied AI, intelligent robotics, Vision-Language-Action (VLA) models, Spiking Neural Networks (SNNs), FPGA acceleration, and real-time systems.

You can find more details about my academic background and experience in my CV.

Research Interests

Embodied AI · Intelligent Robotics · Vision-Language-Action Models · Spiking Neural Networks · FPGA · Real-Time Systems

selected publications

  1. Computer Networks
    Collaborative Filtering-based Fast Delay-aware Algorithm for Joint VNF Deployment and Migration in Edge Networks
    Zhuofan Liao, Wenqiang Deng, Shiming He, and 1 more author
    Computer Networks, 2024
  2. IEEE ISPA
    SimV: A Self-extension Similarity Viterbi Algorithm for Service Function Chain Deployment for Multi-access Edge Computing
    Wenqiang Deng
    In 2024 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), 2024