‘Towards Robust and Controllable Text-to-Motion via Masked Autoregressive Diffusion’, ACM Multimedia 2025: proposes a masked autoregressive diffusion approach for controllable text-to-motion generation with arbitrary key-frame inputs
‘A Survey on Data Synthesis and Augmentation for Large Language Models’, ArXiv 2024: reviews data generation techniques across the LLM lifecycle including pre-training, fine-tuning, and alignment
‘SkeletonX: Data-Efficient Skeleton-based Action Recognition via Cross-sample Feature Aggregation’, IEEE TMM 2025: introduces a lightweight, plug-and-play framework for data-efficient skeleton-based action recognition
‘SkeletonMix: A Mixup-Based Data Augmentation Framework for Skeleton-Based Action Recognition’, IEEE ICASSP 2025: proposes a mixup-based augmentation method to reduce training sample requirements for GCN-based models
Reviewer for IEEE Transactions on Circuits and Systems for Video Technology