RESEARCH · INTERACTIVE AI
Chengqian Ma马承乾
Towards Interactive World Models.
I'm a PhD student at Peking University, with a research focus on interactive world models. Toward this goal, I work on world models and dialogue models to enable AI systems to model dynamic environments and interact naturally with people.
Omni LLM
Interactive AI
Full-Duplex
World Model
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Google Scholar 
GitHub 
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01 / RESEARCH VISION
Research, connected.
TOWARDS
Interactive
Interactive
World Models
World dynamics
and
Human interaction
03 / OPEN SOURCE
Projects.
Resources for the
research community.
A RESEARCH RESOURCE
Multimodal Model Zoo
A structured, searchable collection of 114+ multimodal large language models. Explore architectures, tasks, benchmarks, papers, and code across autoregressive, diffusion, and hybrid approaches.
From vision–language and audio–language models to autonomous driving and 3D scene understanding.
04 / THE JOURNEY
Experience.
Research & education.
Peking University
PhD student
Seed, ByteDance
Research Intern
Contributed to foundation models for spoken dialogue.
LightSpeed, Tencent
Research Intern
Developed C3 and Motion-Omni during an industry research internship to support AI teammates and spoken-dialogue assistants in the game Peacekeeper Elite.
05 / RECOGNITION
Honors &
awards.
Academic honors
- 2025
Outstanding Graduate
Xiamen University
- 2021–25
Merit Student × 4
Xiamen University
- 2024
Golden Kapok Medal
Xiamen University · 1 out of 1000
Competitions
- 2024
Huawei ICT Competition
1st place, China Area Top 0.1%
- 2023
COMAP's MCM & ICM
Meritorious Winner Top 5%
- 2023
China Collegiate Programming Contest
CCPC Regional · Silver Medal