Jing GONG (龚敬)

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An undergraduate at the School of Software Engineering, Sun Yat-sen University.

GitHub Profile

Gitee Profile

About me

I am currently a research intern at the University of Notre Dame, supervised by Prof. Xiangliang Zhang. As an undergraduate, I am majoring in Software Engineering at Sun Yat-sen University, expecting to graduate in June 2025 under the guidance of Prof. Yanlin Wang. From January to May 2023, I was an exchange student at the Chinese University of Hong Kong.

My research interests include software engineering, human-computer interaction, large language models, machine learning, and programming languages, particularly in automated software engineering.

I am actively seeking a PhD position. If my research interests align with yours, please feel free to reach out to me at gongj39@mail2.sysu.edu.cn.

GPA: 3.9/4.0, 4.1/5.0

Awards

  1. Mathematical Contest in Modeling (MCM), Meritorious Winner (Top6%, 2024)
  2. Kingdomcares Scholarship (Top 6, 2024)
  3. Sun Yat-sen University Outstanding Student Scholarship (2022-2023 academic year), First Class (Top 5%)
  4. Sun Yat-sen University Outstanding Student Scholarship (2021-2022 academic year), Third Class (Top 30%)
  5. Sun Yat-sen University Programming Design Novice Competition, Second Prize.

Publications

Research Experience

LLMs for Bayesian Optimization (ongoing)

Description: My work focused on the integration and automated tuning of diverse tools, analyzing and validating modifications through various parameter adjustments and sampling methods to optimize performance across different datasets. I am currently developing and implementing self-evolving modifications in tool algorithms to enhance their adaptability and efficiency in parameter optimization.

Gradient-Free Federated Learning Methods Based on Evolutionary Computation

Description: During my undergraduate studies, I had the opportunity to work with Associate Professor Xiaoyu He as part of the National Undergraduate Training Program for Innovation and Entrepreneurship. Our research primarily focused on developing gradient-free federated learning methods using evolutionary computation. This innovative approach aimed to enhance the efficiency and effectiveness of federated learning, making it a viable option for various practical applications.

Code Search Optimization Techniques Based on Large Model Query Optimization and Code Optimization

Description: This is an undergraduate student innovation training project under the guidance of Assistant Professor Wang Yanlin. This project will conduct in-depth analysis, rewriting, and expansion of user queries to generate higher quality code search queries. The research focus of this project includes strategies for optimizing query statements, such as using Embedding techniques to handle ambiguity and uncertainty in query statements, using large models to process semantically similar but different negations, handling semantically opposite negations, processing semantically synonymous affirmations, correcting erroneous query statements, and supplementing vague query statements. In addition, the project also focuses on code optimization, such as identifying and correcting errors in code, improving the clarity and readability of custom API names, and generating and optimizing function descriptions (Docstrings).

Coursework Project

SSE_MARKET

Description: SSE_MARKET is a communication platform specifically designed for teachers and students at the School of Software Engineering (SSE) at Sun Yat-sen University (SYSU). This platform aims to facilitate seamless interaction and the exchange of information within the academic community.

As the team leader of this project, I have overseen the development and implementation of the platform, ensuring that it meets the needs of SSE.

CLUB_HUB

Description: CLUB_HUB is a platform dedicated to managing student clubs and facilitating club recruitment at Sun Yat-sen University (SYSU). The platform serves as a comprehensive resource for students interested in joining clubs and for club leaders seeking new members. As the team leader of this project, I am responsible for coordinating the development of the platform and ensuring that it effectively meets the needs of SYSU.

TitleGPT

Description: This tool combines ChatGPT with a custom-built feedforward neural network to create highly engaging headlines. It blends ChatGPT’s advanced language capabilities with targeted neural network algorithms, providing a succinct and effective solution for generating attention-grabbing titles in the digital content space.

Network Hotspot Detection and Prediction System

Description: This project includes data crawling, cleaning, organization, basic analysis, and event graph construction, with hotspot prediction capabilities to aid in decision-making for public opinion regulation. Built using Python Django and Vue, the system integrates large language models, machine learning, and graph databases to aggregate and refine dispersed online data into structured, actionable insights.

Selected Core Courses in SE and PL

Language Proficiency

Contact Me

Email: gongj39@mail2.sysu.edu.cn

What’s more…

Highlighted Works from My Blog

  1. Managing Test Files with create_files and delete_files Bash Scripts
  2. How to successfully Compile lab1_example_solution1?
  3. How to connect VSCode to Ubuntu
  4. Bitcoin Consensus Mechanism
  5. mandatory and optional problems

To explore more insightful blog posts, I encourage you to visit my blogs for content created after October 24, 2023, or check out my homepage on CSDN for blogs written prior to October 23, 2023.

Work Experience

Awards/Honors