Hi! Welcome to my personal website. I am currently a freshman at the University of Hong Kong.

My academic interests lie at the intersection of hardware architecture, digital system design, and machine learning systems. In recent years, I have explored areas such as RISC-V-based CPU design, FPGA system prototyping, low-bit quantized neural network accelerators, and hardware-aware machine learning optimization.

For my future exploration, I am particularly interested in AI/ML system co-design, including how emerging hardware can shape the next generation of ML algorithms, and how system-level optimization can unlock efficiency for real-world AI workloads. I am also currently studying robotics learning / and AI for security. Fields like operating systems, compilers, and ML-specific hardware accelerators are also on my roadmap.

I am always open to conversations, collaboration opportunities, and creative projects —

feel free to reach out if you share similar passions!

The University of Hong Kong

The University of Hong Kong Entrance Scholarship

Carnegie Mellon University

Completed two undergraduate courses (15-122 and 21-127). QPA: 4.0/4.0

Beijing 101 High School

AP & International Baccalaureate Diploma Programme

The University of Hong Kong

Hardware-Accelerated 1-Bit Quantization Using PyRTL for Efficient Neural Network Design

Designed a 1-bit MAC unit for a Systolic Array with PyRTL, reducing area requirements and critical path length.

Yishengyizhen Program by Chinese Academy of Sciences

Explored computer architecture and systems. Designed circuits with Verilog/Vivado for RV32 instructions and built a simplified RV32I emulator in C.

A Comprehensive Analysis of AI Research Topics Using LDA and LDAvis: Insights from arXiv Data

Project under Talent Program, China Association for Science and Technology. Applied LDA and LDAvis to analyze trendings in AI researches using arXiv data.