PhD student, Nanjing University of Science and Technology
3 papers at NeurIPS 2025
We introduce MMOral, the first large-scale multimodal instruction dataset and benchmark tailored for panoramic X-ray interpretation. MMOral-Bench is a comprehensive evaluation suite covering five key diagnostic dimensions in dentistry.
We present a dataset of 210,000 triplets (content, style, stylized images) and an end - to - end stylization framework tailored for it, ensuring efficient style transfer.
FedMGP introduces a multi-group text-visual prompt paradigm for federated learning that effectively balances personalization and generalization , achieving state-of-the-art performance with minimal communication parameters.
