Zhu Yufan

I'm

About

I am Zhu Yufan, a final-year Computer Science student at the National University of Singapore, with a focus on Artificial Intelligence. My experience spans machine learning, software engineering, and AI-generated content, and I am passionate about using technology to solve real-world problems.

Birthday: 03 Feb 2001
Phone No.: +65 98408400

City: Singapore, SG
Email: e0773591@u.nus.edu

Interests

Software Development

Machine Learning

Computer Vision

Natural Language Processing

Database

Visualization

Algorithms

Image Processing

Education

Ph.D. in Computer Science

Aug 2025 - May 2029

Research focus: Privacy-Preserving Machine Learning

Scholarships and Awards

NUS Research Scholarship

B.comp in Computer Science

Aug 2021 - Present

Scholarships and Awards

NUS Science & Technology Merit Scholarship
Honor List of Student Tutors

Eunoia Junior College

Feb 2019 - Nov 2020

Scholarships and Awards

MOE School-based Scholarship (SM1 Scholarship)
Dean's List for Academic Excellence

Research Publication

A Personalized Learning Tool for Physics Undergraduate Students Built On a Large Language Model for Symbolic Regression

In Proceedings of the 2024 IEEE Conference on Artificial Intelligence (CAI 2024)

Yufan Zhu, Zi-Yu Khoo, Jonathan Sze Choong Low, Stephane Bressan.

Interleaved practice enhances the memory and problem-solving ability of students in undergraduate courses. We introduce a personalized learning tool built on a Large Language Model (LLM) that can provide immediate and personalized attention to students as they complete homework containing problems interleaved from undergraduate physics courses. Our tool leverages the dimensional analysis method, enhancing students’ qualitative thinking and problem-solving skills for complex phenomena. Our approach combines LLMs for symbolic regression with dimensional analysis via prompt engineering and offers students a unique perspective to comprehend relationships between physics variables. This fosters a broader and more versatile understanding of physics and mathematical principles and complements a conventional undergraduate physics education that relies on interpreting and applying established equations within specific contexts. We test our personalized learning tool on the equations from Feynman’s lectures on physics. Our tool can correctly identify relationships between physics variables for most equations, underscoring its value as a complementary personalized learning tool for undergraduate physics students.

Experience

Student Researcher, National University of Singapore & A*STAR

May 2023 - Present

Conducted research on Symbolic Regression with LLMs under Professor Stephane Bressan and Dr. Khoo Zi-Yu under Undergraduate Research Opportunity Programme (UROP). Achieved an A+ grade for the research project.
Developing a Fully Homomorphic Encryption (FHE) Model for Evaluating LLMs on MAMBA Architecture for the Final Year Project (FYP), supervised by Professor Xiao Xiaokui and Dr. Jin Chao from A*STAR.

Teaching Assistant, National University of Singapore

August 2022 - Present

Conducted weekly tutorials and labs for CS1101S (Programming Methodology), CS2100 (Computer Organization), CS2106 (Introduction to Operating Systems), and CS4248 (Natural Language Processing).
Graded assignments and provided detailed feedback to students.
Held consultations to assist students with course material and assignments.
Mentored students in their cousre research projects.
Structured exam questions and conducted exam invigilation.

Machine Learning Research Engineer Intern, A*STAR

May 2024 - August 2024

Conducted quality assurance (QA) testing and performed compatibility checks for machine learning models on homomorphically encrypted data.
Led model training and evaluation to ensure secure and efficient performance in encrypted environments.
Applied software testing techniques, API testing, and implemented data security best practices in machine learning workflows.

Research Assistant, National University of Singapore

May 2024 - August 2024

Contributed to a paper on Artificial Intelligence Generated Content in Marketing.
Collaborated with PhD student Bruce Yang on research activities.
Supervised by Professors Li Xiaofan and Qiao Dandan under CP2107 Independent Introduction to CS Research (Odyssey).

Artificial Intelligence Engineer Intern, KiWiAR Technology

Jan 2024 - May 2024

Led a team of three to develop a pipeline for automatic poster generation using Stable Diffusion and LLM.
Implemented backend API development and designed microservices for scalable deployment.
Applied object recognition techniques and managed the project to ensure timely delivery.

Research Assistant, Nanyang Technological University & A*STAR

July 2024 - Jan 2025

Participated in developing a Quantum Enhanced Machine Learning research project.
Collaborated with Professor Gu Mile of NTU and Dr. Jayne Thompson of A*STAR.
Worked on cutting-edge machine learning techniques for quantum computing.

Student Tutor, Raffles Institution Boarding School

November 2022 - Present

Organized events and provided academic and living support to boarders.
Assisted in upgrading the boarding school management system.
Mentored students in their academic and personal development.

Basketball Player, NUS Prince George's Park House Basketball Team

August 2021 - May 2022

Played as Power Forward/Center (PF/C) in the NUS Inter-house Basketball League, contributing to both offensive and defensive plays.
Collaborated with teammates to develop and execute game strategies, enhancing team cohesion and performance on the court.