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Chaojun Ni — most-cited papers & profile · AI for Code
← authors
·
overview
Chaojun Ni
12
papers ·
0
citations ·
0
h-index
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Most-cited papers
GigaBrain-0.5M*: a VLA That Learns From World Model-Based Reinforcement Learning
2026
ViVa: A Video-Generative Value Model for Robot Reinforcement Learning
2026
VAG: Dual-Stream Video-Action Generation for Embodied Data Synthesis
2026
GigaBrain-0.5M*: a VLA That Learns From World Model-Based Reinforcement Learning
2026
GigaWorld-0: World Models as Data Engine to Empower Embodied AI
2025
GigaBrain-0: A World Model-Powered Vision-Language-Action Model
2025
MimicDreamer: Aligning Human and Robot Demonstrations for Scalable VLA Training
2025
EMMA: Generalizing Real-World Robot Manipulation via Generative Visual Transfer
2025
EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling
2025
Swiftvla: Unlocking Spatiotemporal Dynamics For Lightweight VLA Models At Minimal Overhead
2025
Top co-authors
Angyuan Ma
· 2
Boyuan Wang
· 2
Gigaworld Team
· 2
Guan Huang
· 2
Guo Li
· 2
Guosheng Zhao
· 2
Hengtao Li
· 2
Jiwen Lu
· 2
Qiuping Deng
· 2
Xiaofeng Wang
· 2
Xiaoyu Tian
· 2
Xinyu Zhou
· 2
Topics
Manipulation
Control
Sim-to-Real
Human-Robot Interaction
Vision-Language Models
Perception
Embodied & Agents
Benchmarks
Video-Language