Students

I have been lucky to work with the following students at Peking University.

• Yinyuan Zhang, Ph.D. student: multimodal LLMs
• Zhiyang Chen, Ph.D. student: efficient NPU-optimized LLM inference

Join Our Research Team!

We welcome motivated students to join us in advancing AI, edge computing, and hardware research. If you are passionate about technology and innovation, let’s grow together!

• How to Apply: Along with your CV, please briefly introduce your academic background, research interests, and future plans in your email.
• Who We’re Looking For: Students with backgrounds in AI, computer architecture, compilers, or systems are all welcome. We especially encourage those interested in edge heterogeneous computing and satellite hardware.
• Skills & Interests: If you are interested in C/C++/Python, Verilog/Chisel, or large language models (LLMs)—whether experienced or just curious—feel free to reach out!
• Opportunities: We support applications for Master’s and PhD studies, recommendation-based admissions, and undergraduate research internships.

Why Join Us?

• Cutting-edge Research: Get hands-on experience with frontier LLM algorithms and hardware/system design, from theory to real-world implementation.
• Friendly Team: Work in an open and collaborative environment—grow together and enjoy the journey.
• Strong Support: Backed by Prof. Shangguang Wang’s team, with ample resources and technical expertise. Students are encouraged and supported to attend major academic conferences in China and abroad.
• Excellent Connections: The PI received a PhD from Peking University and has close ties to top teams at PKU and BUPT. Outstanding students may receive recommendations for further study or strong reference letters.

We look forward to hearing from you!