About Me

I am a first-year Ph.D. student at Global College, Shanghai Jiao Tong University, working in Prof. Xinfei Guo's iCAS laboratory. My research focuses on architecture-oriented abstractions for AI inference, including accelerator compiler abstractions, memory-technology abstractions, and operator-level optimization and evaluation. I am particularly interested in how compilers and abstractions can expose hardware capabilities to AI inference workloads in a systematic and efficient way.

Research Interests

• Accelerator compiler abstractions for AI inference
• Memory-technology abstractions (LPDDR)
• Operator-level optimization and evaluation for DNN workloads
• Co-design of hardware and compiler for AI accelerators

Education