Jinhua Du
Ph.D. in Computer Science and Technology, Tsinghua University | KEG Lab, Class of 2022
Advisor: Jie Tang
Research focuses on Machine Learning, Big Data, and Natural Language Processing (Large Language Models)
Research Interests
- Meta-Learning and Transfer Learning for Large Models: Investigating methods for transferring and adapting learning strategies across different tasks and domains
- Adaptive and Interpretable AI Systems: Exploring how to build intelligent systems that flexibly adapt to environmental changes and are more transparent and interpretable to human users
Honors & Life
- National Scholarship recipient, Outstanding Undergraduate Graduates of Beijing
- Fitness enthusiast, trained under the Secretary-General of Beijing University Students Bodybuilding Association; 14 years of running experience; enjoys various sports; 5th place in Tsinghua University Bodybuilding Competition
Representative Work
Basic Information
| Item | Content |
|---|---|
| GPA | 3.95 / 4.00 |
| Overall Rank | 1 / 329 |
| Date of Birth | 2000.04.01 |
Links
| Item | Content |
|---|---|
| dujh22@mails.tsinghua.edu.cn | |
| GitHub | github.com/dujh22 |
| Scholar | Google Scholar, Baidu Scholar, Aminer |
| Databases | ACL, DBLP, ORCID, IEEE, Semantic Scholar |
| Blog | CSDN |
Skills
| Category | Details |
|---|---|
| LLM | Proficient in the full pipeline of large model technologies including pre-training and post-training (fine-tuning, alignment) |
| AI | Research experience in AI numerical computing, robotics and autonomous driving, big data, natural language processing and large models; participated in product development for healthcare, public security, art, gaming, and sports domains |
| Programming | Proficient in Python, C/C++; familiar with Java, Lua, Go and other languages; experienced in numerical analysis and computation with MATLAB |
| English | CET-4 (580), CET-6 (525), IELTS (7.0) |
| Teaching | Certified Teaching Assistant at Tsinghua University; served as teaching assistant for graduate courses |