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Yufan Du

PhD Student

UCLA

Biography

I am a first year PhD student at UCLA, majoring in Computer Science. I’m advised by Prof. Jason Cong in VAST lab.

Before I joined UCLA, I worked with Prof. Yibo Lin at PKU on differentiable physical design optimization and AI4EDA research. I also did an internship at UT Austin Prof. David Pan’s group, where I focused on improving the gate sizing design.

Interests

Hardware-software Co-design
Differentiable optimization
GPU accelaration
Electronic design automation (EDA)
ML-specific compiler design

Education

BSc in Applied Physics, 2021 - 2025
Peking University
BSc in Computer Science, 2021 - 2025
Peking University
PhD in Computer Science, 2025 - Present
University of California, Los Angeles

Skills

Experience

CEO

GenCoin

January 2021 – Present California

Responsibilities include:

Analysing
Modelling
Deploying

Professor of Semiconductor Physics

University X

January 2016 – December 2020 California

Taught electronic engineering and researched semiconductor physics.

Accomplishments

Neural Networks and Deep Learning

Coursera Jan 2021

See certificate

Blockchain Fundamentals

edX Jan 2021

Formulated informed blockchain models, hypotheses, and use cases.

See certificate

Object-Oriented Programming in R

DataCamp Jul 2020 – Dec 2020

See certificate

Projects

Compiler from SysY to RISC-V

A complider that enables the compiling from SysY (a simplified version of C) to RISC-V.

AI-Assisted Schedule Manager

We developed a cross-platform scheduling application integrated with AI, featuring NLP for user-friendly schedule management, further achieving a substantial improvement in user experience by enabling eﬀicient management and reminders through conversational interfaces.

FPGA-Based Snake Game

We deployed a computer vision algorithm and the classic snake game on a resource-limited FPGA platform, optimizing resource usage. We Introduced a 3D human-computer interface to improve player engagement and provided valuable insights for IoT edge device development.