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Hi there! My name is Junyu Luo (罗钧宇), and I am currently a Ph.D. student in Computer Science at Peking University, advised by Prof. Ming Zhang. I previously completed my M.S. studying at AIIC in Peking University, and received my B.S. with Rank 1/257 from Beihang University (BUAA).
Research Interests
My research focuses on developing efficient and adaptive machine learning models. Key areas include:
- Large Language Models: Exploring data-efficient post-training methods, adaptive architectures.
- Multi-modal Learning: Working on tasks like Multi-modal Retrieval, 3D visual grounding.
- Adaptive Learning: Investigating domain adaptation techniques for graphs and efficient adaptive retrieval methods.
- Efficient ML Systems: Developing methods for sparse learning and system optimization.
You can find a list of my publications on my Google Scholar profile.
Academic Service
I actively contribute to the academic community by serving as a reviewer for conferences and journals such as ICML, NeurIPS, ACL ARR, KDD, CVPR, AAAI, TPAMI, TIP, etc.
Honors & Awards
- 2020 Shenyuan Medal (Highest honor in BUAA, 10/3900)
- 2021 Outstanding Graduates of Beijing
- 2020&19&18 National scholarship
- 2024 National scholarship for Graduate Students
- 2019 SHIE medal (4/700)
