NeurIPS 2023: Published 'FedFed: Feature distillation against data heterogeneity in federated learning'
NeurIPS 2025: Two papers accepted — 'FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning' and 'IR3D: Benchmarking VLM on Spatial Understanding'
ICLR 2024: Co-first author of 'Robust Training of Federated Models with Extremely Label Deficiency'
arXiv 2025: Co-first author preprint 'LearnAlign: Reasoning Data Selection for Reinforcement Learning in Large Language Models Based on Improved Gradient Alignment'
Outstanding Master Thesis Award from Beihang University (2024)