Research Interests
- Data-centric AI for foundation models:
improving data quality for training large language and multimodal models.
- Reliable AI-generated annotation:
detecting errors in AI-generated annotations.
- Human–AI data curation:
combining automatic model annotation with expert supervision.
Publications
(* equal contribution)
[ICML 2026]
Detecting Errors in AI-Generated Annotations:
When and Why Semantic Neighbors Help
Na Di, Ling Li, Zhe Tang, Hao Cheng,
Jinlong Pang, Jiaheng Wei, Zhaowei Zhu
[ICML 2025]
Token Cleaning: Fine-Grained Data Selection
for LLM Supervised Fine-Tuning
Jinlong Pang*, Na Di*, Zhaowei Zhu,
Jiaheng Wei, Hao Cheng, Chen Qian, Yang Liu
[ICLR 2026]
Task-Aware Data Selection via Proxy-Label Enhanced
Distribution Matching for LLM Finetuning
Hao Cheng, Rui Zhang, Ling Li, Na Di,
Jiaheng Wei, Zhaowei Zhu, Bo Han
Education
- The Hong Kong University of Science and Technology (Guangzhou)
Ph.D. in Data Science and Analytics · 2025 – present
- Northeastern University (Silicon Valley, USA)
M.S. in Information Systems
- Fudan University
M.S. in Finance
- University of Electronic Science and Technology of China
B.S. in Finance; B.S. in Electronic Information Engineering
