Optimal transport-driven machine learning: Neural solvers of OT problems, OT-based graph learning, OT-based generative modeling.

Generative large model design, compression and fusion: LLM adaptation and fusion, non-real neural network and geometric learning, new attention mechanism design.

AI4Math and AI4Science: AI-assisted Math proof, drug design, material analysis and design, single-cell multi-omics analysis.