Huadai Liu

Huadai Liu 刘华岱

I work on multimodal foundation models that perceive, reason and generate.

My research spans three parts of a multimodal foundation model: audio language models that generate speech, sound and music; multimodal LLMs that reason over video, audio and text; and post-training with reinforcement learning, on-policy distillation and chain-of-thought. Underneath them, I study the latent representations that diffusion and flow-based generators learn from, and samplers that make generation fast enough to serve.

Portrait of Huadai Liu

Research

Four connected directions, from the models themselves down to the representations and samplers beneath them.

    Recent

      Earlier news

        Research highlights

        Four papers in depth, each with its key figure and a sample, then three in brief.

        Publications

        Selected papers. * equal contribution. The full list is on Google Scholar.

        Impact

        Open-source systems that other people build on. GitHub counts refresh when the page loads.

        Recognition and service

        Recognition

          Service

            Contact

            For research questions, collaboration or anything about the papers above, email me.

            Google Scholar GitHub DBLP CV (PDF)