Zhanwei Zhang
B.Eng. in Computer Science and Engineering
Southern University of Science and Technology (SUSTech)
Biography
I’m on an exciting journey at Southern University of Science and Technology (SUSTech), diving deep into Computer Science and Engineering.
I’ve got a passion for mixing up Software Engineering with Artificial Intelligence.
Presently, I am serving as a Visiting Researcher at Wuhan University.
Interests
- Software Engineering
- Software Testing
- Artificial Intelligence
- Machine Learning
Education
B.Eng. in Computer Science and Engineering, 2021 till now
SUSTech
Skills
Tools
Languages & Frameworks
Experience
B.Eng. in Computer Science and Engineering
Major in Computer Science and Engineering at SUSTech, guided by
Professor Yepang Liu.
Visiting Researcher
Participate in a research project on software logging. This research was conducted under the guidance of Professor Weiyi Shang and Professor Jinfu Chen.
Projects
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Developed a simple compiler (still has 15,000 lines) that translates C language files into Intermediate Representation (IR) and MIPS32 assembly. The compiler supports essential features such as I/O operations, control flow and function calls. It includes comprehensive lexical, syntax, and semantic analysis, along with informative error messages.
LLM-Based JSON Parser Fuzzing for Bug Discovery and Behavioral Analysis
Use opensource LLMs such as Llama2-7B/13B to generate test cases.
13 JSON Parsers and over 100 types of cases have been tested. Over 26 behavioral diversities have been found.
13 JSON Parsers and over 100 types of cases have been tested. Over 26 behavioral diversities have been found.
The solver uses a memetic algorithm and hybrid metaheuristic approach to produce high-quality solutions efficiently. The solver achieved optimal solutions in small and medium-sized instances within 180 seconds and produced comparable results for larger instances with up to 255 vertices and 347 routes.
The system lets players choose actions for their customizable characters, track HP, and engage in real-time multiplayer matches using miniSTM32 boards with accurate data transmission.
Reversed Reversi through Python with Strong AI
Implemented Monte Carlo & FAST Alpha Beta Pruning algorithm by leveraging bitwise operations.
Analyze 10 TB data (1 billion records) using statistical and machine learning methods.
The manuscript has been submitted to Environmental Science & Technology on April 16, 2024.
The manuscript has been submitted to Environmental Science & Technology on April 16, 2024.
Developed visually appealing interface through the graphical framework Swing.
Contact
- zhangzw@mail.sustech.edu.cn
- No. 1088 Xueyuan Avenue, Shenzhen 518055