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Research Interests

  1. Scientific Multimodal Foundation Models with Critical Thinking: Build a new multimodal scientific LLM to understand formulas, tables, figures, and charts; Design model can dynamically extract and integrate new multimodal knowledge elements without additional training
  2. Few-Shot Scientific Knowledge Aquisition: Investigate methods for extracting knowledge from scientific corpora with limited annotation
  3. Planning and Reasoning in Scientific Domain: Utilize both structured and unstructured knowledge as well as logic rules among knowledge elements to produce trustworthy and explainable results
  4. Scientific Research Agents with Physical World Interactions: Train a new human-in-the-loop reinforcement learning framework with human, experimental, and literature feedback, which can leverage small datasets in closed-loop discovery platforms; Develop a human-in-the-loop self-driving laboratory that can complete the scientific research lifecycle through interactions with the physical world, such as a robotic laboratory

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School/Program Introduction