FancyAI Lab

Building dependable AI for perception, language, and collaborative decision making.

FancyAI Lab studies how visual understanding, natural language processing, large language models, and multi-agent systems can work together to solve complex real-world problems.

Meet the Team Recent Publications

Focus

Computer vision, language intelligence, multi-agent collaboration, and large models.

We build reliable AI systems for scientific discovery, embodied decision making, and real-world deployment.

Campus building and outdoor academic environment

Campus View Open spaces that encourage interdisciplinary exchange.

Collaborative research discussion setting

Research Culture Weekly discussions connect ideas across vision, language, and agents.

Lab Community Students and collaborators grow together through ambitious projects.

Research Areas

Core directions currently pursued in FancyAI Lab.

Computer Vision

Research on perception, visual representation learning, scene understanding, and generative vision models.

nlp

Natural Language Processing

Research on language understanding, generation, grounding, and multimodal interaction.

multi-agent

Multi-Agent Systems

Research on cooperation, planning, communication, and decentralized intelligence across agents.

llm

Large Language Models

Research on foundation models, alignment, efficient adaptation, and scientific use of large models.

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cv nlp multi-agent llm