Research Interests
Foundation models and their applications, AI Safety.
Machine learning / Deep learning / Artificial intelligence: general-purpose, self-supervised, continual learning, graph representation learning, lightweight, perception & semantics, and data-centric approaches
Computer vision: transformer-based CV, classification, backbone architecture, detection, high-quality generation, I2I translation, etc.
Natural language processing: large-scale LM, embedding, semantic representation, Q&A, dialog modeling, NLU, etc.
Audio signal modeling: large-scale ASR, speech-to-text, spoken language understanding, text-to-speech, speech style transfer, speech enhancement, musical signal modeling, etc.