About Me

I’m a fifth-year Ph.D. Candidate from School of Microelectronics, Fudan University, Shanghai, P.R.C. My work primarily focuses on topics such as the optimization of inference systems for large language models and hardware-software co-design for these models. During the early stages of my doctoral studies, my research centered on hardware-software co-design and accelerator design for privacy-preserving computing.

I am very fortunate to be advised by Prof. Fan Yang of CAD Lab from School of Microelectronics, Fudan University. Before that, I received my bachelor’s degree from Wuhan University, Hubei, P.R.C. in 2022. You can visit my Google Scholar homepage.

I am currently an AI Infrastructure Summer Camp intern with the Baige (百舸) Team at Baidu, where I focus on optimizing LLM inference systems for low latency and high throughput on NVIDIA GPGPU platforms. Previously, I interned with the AI ​​chip design team at ByteDance and participated in Tencent’s Project Up (青云计划) as an intern specializing in AI hardware acceleration solutions. My work centers on optimizing inference systems for LLMs and developing inference frameworks and engines. I am currently seeking employment opportunities with a start date in the fall of 2027.