Dunjie Lu

Email: ludj1219@gmail.com | Tel: (+86) 159-1450-2226

Research Interest

Natural Language Understanding (NLU), Natural Language Generation (NLG), Large Language Models, Prompt-based Learning, Retrieval Augmented Generation (RAG), Graph Neural Networks (GNN), Federated Learning

Education Background

Sun Yat-sen University (SYSU), China
BS in Computer Science | Overall GPA: 4.23/5.0 | Grade Ranking: 3/291 (Top 1%) | Major Ranking: 1/220 (Top 1%)

Core Courses

• Multivariable Calculus
• Linear Algebra
• Discrete Mathematics
• Probability and Statistics
• Algebra Structures
• Mathematical Logics
• Mathematical Modeling
• Optimization Theory
• Data Structures and Algorithms
• Computer Organization
• Operating Systems
• Machine Learning and Data Mining
• Artificial Intelligence
• Computer Graphics
• Digital Image Processing
• Computer Networks
• Database Systems

Awards and Honors

• National Scholarship (Top 1.5%) - 12/2022
• 1st Prize | Sun Yat-sen University Outstanding Student Scholarship (Top 3%) - 09/2022
• 1st Prize | China Undergraduate Mathematical Contest - 12/2023
• 2nd Prize | Sun Yat-sen University Outstanding Student Scholarship (Top 10%) - 09/2023
• 3rd Prize | 2023 SYSU Collegian Programming Competition (SYSUCPC) - 09/2023
• 3rd Prize | China Contemporary Undergraduate Mathematical Contest in Modeling - 12/2022

Skills

Programming Languages: C/C++, Java, Python, C#, SQL, MATLAB, R, HTML, CSS, Swift

Libraries: NumPy, SciPy, Pandas, PyTorch, Scikit-Learn, TensorFlow, Matplotlib, Selenium, OpenCV, OpenGL

Frameworks: JUnit, React.js, Node.js, Express.js, jQuery, React Native, Flask, Docker, Spring, Spring Boot

Software: MS Office, Neo4j, 3D Slicer, LaTex, Visual Studio, PyCharm, Eclipse, GitHub, Photoshop, Linux

Teaching Experiences

Teaching Assistant at SYSU (2022 – 2023)

Assisted in the delivery of Data Structures and Algorithms course to 80+ undergraduate students; held office hours, graded assignments, and managed logistic items to improve the students’ learning experience.

Developed comprehensive teaching plan and curriculum syllabus with course instructors; practiced an array of course design techniques to enhance teaching effectiveness.

Research Experiences

Development of a Lightweight Browser Plug-in for Blockchain Real-time Monitoring and Anti-fraud Protection
Team Leader | Collegiate Innovation and Entrepreneurship Training Program (11/2023 - Present)

• Designed, implemented, and tested a lightweight browser plug-in for monitoring blockchain transactions and offering protection from fraud activities.
• Enabled the detection of Ponzi scheme on Ethereum by compiling smart contracts to opcodes, followed by training a neural network model to drive user classification and fraud detection.
• Enabled phishing scam detection on Ethereum via definition and construction of transaction pattern graphs and transformation of the phishing scam detection into a graph classification task.

Course Projects

Various projects in Computer Graphics, Artificial Intelligence, Optimization Theory, and Mathematical Modeling.

Extracurricular Experiences

Team Leader | Mathematical Contest in Modeling (MCM) - 02/2024

Established a set of mathematical models to quantitatively characterize the dynamics of momentum in tennis games.