Shuhong Dai

microsoft.png

Master's Student at

North China Electric Power University.

Research Assistant at

AI Lab, CRRC Academy.


daishuhong02@gmail.com

I am a master’s student in the School of Control and Computer Engineering at North China Electric Power University, pursuing my master’s degree in Computer Science. I received my bachelor’s degree in Electrical Engineering in 2023 and my research on fuzzy control was awarded the title of Excellent Graduation Thesis.

Prior to this, I was interested in embedded real-time operating systems and efficient switch-mode power supply control. I have won several competition awards, for example, the four-switch buck-boost circuit I designed won 1st Prize in the 2020 electronic design competition sponsored by Huawei. In 2022, the multi-vehicle system I developed earned the highest honor, the “TI Cup,” in the electronic design competition sponsored by Texas Instruments.

Currently, I am conducting research under the supervision of Prof. Long Cheng in the Distributed Systems Group he leads. My research focuses on the optimization of computing and decision-making in intelligent transportation systems. Additionally, I have also carried out some work in quantum computing.

news

Nov 27, 2024 🎉🎉🎉 I’m thrilled to announce the release of TexHelper, a Python library designed to optimize and beautify TeX code. TexHelper makes managing your \(\LaTeX\)-based projects easier and more elegant. The project is open-source and available on GitHub. Check it out! 🤩
Jul 05, 2024 A paper on vehicle-road cooperation was accepted by IEEE IoT Journal.
Jun 14, 2024 Participated in Microsoft AI Day Beijing.
Jan 02, 2024 A paper on energy-efficient computing was accepted by Computer Communications.
Dec 28, 2023 A paper on data compression was accepted by IEEE IoT Journal.

latest posts

selected publications

  1. MARP.png
    MARP: A Cooperative Multi-Agent DRL System for Connected Autonomous Vehicle Platooning
    Shuhong Dai, Shike Li, Haichuan Tang, Xin Ning, Fang Fang, Yunxiao Fu, Qingle Wang, and Long Cheng
    IEEE Internet of Things Journal, 2024
  2. nv-dram.png
    Approximate Data Mapping in Refresh-Free DRAM for Energy-Efficient Computing in Modern Mobile Systems
    Sen Li, Hui Jin, Yingke Gao, Ying Wang, Shuhong Dai, Yongjun Xu, and Long Cheng
    Computer Communications, 2024
  3. DataCompression.png
    Deep Reinforcement Learning for Efficient IoT Data Compression in Smart Railroad Management
    Xuan Chen, Qixuan Yu, Shuhong Dai, Pengfei Sun, Haichuan Tang, and Long Cheng
    IEEE Internet of Things Journal, 2023