About

Hi, I’m Shengliang Deng. I’m a Ph.D. student at The University of Hong Kong, advised by Prof. Heming Cui. I received my B.Eng. degree from The University of Science and Technology of China.

I enjoy tackling challenges and difficulties. My academic journey began with a focus on robotic systems and networking. However, as time passed, I came to realize that the major roadblocks of contemporary robotics arise from algorithms and engineering practices, instead of scheduling, networking, etc. Therefore, I paused my Ph.D. study during 2023 to gain a deeper understanding of real-world problems, through industry internships in Momenta and TuSimple, and had a wonderful engineering journey.

With a strong engineering background and a passion for learning new things, in early 2024, I was privileged to start collaborating with esteemed researchers from Galbot and BAAI on building generalizable vision-language-action models (VLAs). Our goal is to develop generalizable skills and embodied models to facilitate embodied AGI.

Publications

• ROG: A High Performance and Robust Distributed Training System for Robotic IoT (paper | code)

  Xiuxian Guan, Zekai Sun, Shengliang Deng, Xusheng Chen, Shixiong Zhao*, Zongyuan Zhang, Tianyang Duan, Yuexuan Wang, Chenshu Wu, Yong Cui, Libo Zhang, Yanjun Wu, Rui Wang, Heming Cui

  International Symposium on Microarchitecture (MICRO), 2022

• COORP: Satisfying Low-Latency and High-Throughput Requirements of Wireless Network for Coordinated Robotic Learning (paper | code)

  Shengliang Deng, Xiuxian Guan, Zekai Sun, Shixiong Zhao, Tianxiang Shen, Xusheng Chen, Tianyang Duan, Yuexuan Wang, Jia Pan, Yanjun Wu, Libo Zhang, Heming Cui*

  IEEE Internet of Things Journal, 2022