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 was an AI infrastructure summer camp intern with the Baige AI Team at Baidu-ACG, where I focused on optimizing LLM inference systems for low latency and high throughput on NVIDIA GPGPU platforms. More previously, I interned with the AI ​​ASIC design team at ByteDance-PicoHeart and was a Project Up (青云计划) intern at Tencent-TEG specialized 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.