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Research Alignment

The group works on crowd intelligence, embodied intelligence, spatial computing, ubiquitous computing, and domain-specific large language models. Prospective students are encouraged to review our selected publications, research projects, and team before contacting us.



Ph.D. Students

Research experience and growth potential are central to doctoral recruitment. Strong candidates normally have experience with frontier research, a clear understanding of at least one research problem, evidence of academic writing or publication, the ability to present research clearly, and a concrete interest in the group's work.



Master's Students

Strong undergraduate performance and independent thinking are important. Applicants should have a solid mathematical foundation, practical programming experience in languages such as Python, MATLAB, Java, C, or C++, and enough English proficiency to read research literature. We also value initiative, resilience, clear reasoning, and effective communication.

Training Model



Undergraduate Interns

Each undergraduate intern works with a senior mentor and joins project experiments and group discussions. Students who identify a research interest may take responsibility for a focused project, form a small team, participate in competitions, and develop a high-quality undergraduate thesis.



Research Showcase



Research group recruitment poster