Master Student @ HITSZ
Research Areas: Large Language Models, Security, Federated Learning
Harbin Institute of Technology, Shenzhen
May 2000
HITSZ, University Town, Shenzhen
Including internships from both undergraduate and master’s periods.
2022.6-2022.8 Backend RD Intern
Participated in building a data platform, including debugging and deploying visual models, as well as developing related services.
Kinda Broad
Research on privacy and security of large language models, covering privacy leakage and protection in distributed learning frameworks, data retention and extraction in large models, and jailbreak studies of large models.
Research on federated learning, including federated graph learning, applications of federated learning in the medical field, and secure multi-party federated learning frameworks.
Native Android app developer with experience in Java/Kotlin, a preference for MVVM architecture, and Jetpack Components. Previously interned as an Android developer at BD.
Experienced in backend development with Golang, Node.js, and Java, with stronger familiarity in Node.js and Go, and experience using MySQL and Redis.
In sophomore year, I developed a trading card game similar to Slay the Spire using C++ and the Cocos2d-x engine.
Enjoy working on UI and video design, including demo videos for projects like the HITSZ Assistant and CloudLight.
Finished during my undergraduate study
Awards Since Undergraduate Studies.
Total Project Users.
Software Copyright.
Github stars
2023-2024 First-class (Top 10%)
2024-2025 First-class (Top 10%)
2023 HITSZ
Outstanding Graduate of the 2023 Class, Harbin Institute of Technology, Shenzhen.
2019-2020 Awarded by the School of Economics and Management, Harbin Institute of Technology (Shenzhen)
2019 HITSZ Freshman Year Annual Project Award.
The HITSZ Assistant project, which I was responsible for, excelled in completion, technical complexity, and user scale, earning the First-Class Annual Project Award.
2020 CAAI Innovation and Entrepreneurship Competition National First-Class Award.
Leveraging the HITSZ Assistant campus community platform and its vast user base, combined with AI technology, we implemented features such as sensitive information filtering and public opinion monitoring.
2020-2021 First-Class (Top 5%)
2019-2020 Second-Class (Top 10%)
2018-2019 Second-Class (Top 10%)
2020-2021 First-Class
2019-2020 Second-Class
2018-2019 Second-Class