Qinpei Luo's Homepage

Email: qpluo@ucsd.edu

Tel: +1 858-405-9771

3180 Voigt Dr, 2301

La Jolla, CA, USA, 92092

Hello! My name is Qinpei Luo (In Chinese: 罗钦培). I am a second year PhD student in the department of Electrical and Computer Engineering in the University of California, San Diego. I am now advised by Dr. Xinyu Zhang from University of California, San Diego. My major interest lies in mobile computing and wireless networks, especially the implementation of machine learning on these topics.

Previously, I earned my Bachelor’s degree in Electronics Information Engineering from School of Electronics Engineering and Computer Science, Peking University, where I am honored to be advised by Dr. Boya Di from School of Electronics, Peking University.

I also had the previlegde to work closely with Dr. Lili Qiu from University of Texas, Austin and Microsoft Research Asia.

news

Mar 2, 2026	Our work “IoTGen: Towards LLM-diriven IoT Hardware Generation” is accepted by The 24th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys 2026).
Sep 26, 2025	I had a wonderful internship at Mircorsoft Research Asia in Shanghai this summer!
Dec 5, 2024	Our work Horus: Enhancing Safe Corners via Integrated Sensing and Communication Enabled by Reconfigurable Intelligent Surface is published in ACM MobiCom ‘24: Proceedings of the 30th Annual International Conference on Mobile Computing and Networking.
Jan 15, 2024	Our work Meta-Critic Reinforcement Learning for Intelligent Omnidirectional Surface Assisted Multi-User Communications is accepted to Transactions on Wireless Communications.
Nov 2, 2023	Our article about 3GPP standardization on extended reality has been released on GetMobile as the cover article.
Aug 26, 2023	Our demo Meta2Locate: Meta Surface Enabled Indoor Localization in Dynamic Environments is accepted to Mobihoc 2023.
Aug 17, 2023	This homepage is built up!

selected publications

2024

Meta-Critic Reinforcement Learning for Intelligent Omnidirectional Surface Assisted Multi-User Communications

Qinpei Luo, Zhu Han, and Boya Di

IEEE Transactions on Wireless Communications, 2024

PDF
Horus: Enhancing Safe Corners via Integrated Sensing and Communication Enabled by Reconfigurable Intelligent Surface

Qinpei Luo, Jiahao Gao, and Boya Di

In Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

Abs PDF Slides

As a key feature that has the potential to enable many advanced applications, the integration of sensing functionality is considered essential in the 6G network, which motivates the design of integrated sensing and communication (ISAC) systems. However, traditional ISAC systems based on non-overlapped resource allocation face the challenge of poor energy and spectral efficiency. In this paper, we implement an ISAC system named Horus based on reconfigurable intelligent surfaces, which provides an energy-efficient solution to sense objects in a wide range of blind areas. With a carefully designed ISAC protocol, Horus can transmit sensing information to the receiver with high spectral efficiency. We have verified the ability of the proposed system in two case studies of multi-modal sensing and around-corner radar early warning, respectively. Our demonstration video can be found in [11].

2023

An Overview of 3GPP Standardization for Extended Reality (XR) in 5G and Beyond

Qinpei Luo, Hongliang Zhang, Minrui Xu, and 5 more authors

GetMobile: Mobile Comp. and Comm., Nov 2023

Abs PDF

In recent years, aiming to enhance and extend user experiences beyond the real world, Extended Reality (XR) has emerged to become a new paradigm that enables a plethora of applications [1], e.g., online gaming, online conferencing, social media, etc. XR refers to the human-machine interactions that combine real and virtual environments with the support of computing/communications technologies and wearable devices. The XR content is generated by providers or other users, including audio, video and other metadata. In general, the generated XR content is transmitted to XR devices and rendered into XR scenes (i.e., to generate an image from a 2D or 3D model by means of a computer program), where users can experience a hybrid experience of the real and virtual worlds.