About Me
Welcome! I’m Yuanqi Yao (姚元淇, CC Yao), a graduate student at Harbin Institute of Technology (HIT), where I also completed my B.Eng. degree in Computer Science, advised by Prof.Junjun Jiang. Currently, I am interning at the Shanghai AI Laboratory, supervised by Dr.Dong Wang and Prof.Xuelong Li.
My research focuses on Embodied AI, particularly VLA and robotic foundation models. Welcome to discuss and collaborate!
News
- 2025.03: One paper is accepted by CVPR 2025!
- 2025.01: Our paper SpatialVLA released on arXiv (Project Page)!
- 2024.09: One paper is accepted by NeurIPS 2024!
- 2024.07: We placed 2nd in ECCV 2024 AIM Depth Upsampling Challenge!
- 2024.07: One paper is accepted by ECCV 2024!
Internships
- 2023.11 - Now, Embodied AI Intern, Shanghai AI Laboratory
- 2023.08 - 2023.11, Computer Vision Intern, Baidu VIS
- 2023.06 - 2023.08, Computer Vision Research Intern, Lenovo Research
- 2022.06 - 2022.10, Autonomous Driving Perception Intern, NIO
Honors and Awards
- 2nd place at ECCV 2024 AIM, Depth Upsampling Challenge (ECCV 2024 Workshop)
- 1st place at ICCV 2023 The ROAD++ Challenge, Agent Detection Track (ICCV 2023 Workshop)
- 2nd place at ICCV 2023 The ROAD++ Challenge, Road event detection Track (ICCV 2023 Workshop)
- 3rd place at ICRA 2023 The RoboDepth Challenge (ICRA 2023 Workshop)
- 1st Scholarship for Postgraduate Students. 2023-2024.
- The People’s Scholarship in China. 2018-2020.
- National Second Prize (Top 1%), National University IoT Design Competition, Huawei Cup. 2019.
Publications
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SpatialVLA Exploring Spatial Representations for Visual-Language-Action Models
Delin Qu*, Haoming Song*, Qizhi Chen*, Yuanqi Yao, Xinyi Ye, Jiayuan Gu, Bin Zhao, Dong Wang, Xuelong Li.
Under Review, 2025
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Think Small, Act Big: Primitive Prompt Learning for Lifelong Robot Manipulation
Yuanqi Yao, Siao Liu, Haoming Song, Yan Ding, Bin Zhao, Zhigang Wang, Dong Wang, Xuelong Li.
CVPR 2025
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Improving Domain Generalization in Self-Supervised Monocular Depth Estimation via Stabilized Adversarial Training
Yuanqi Yao, Gang Wu, Kui Jiang, Siao Liu, Jian Kuai, Xianming Liu, Junjun Jiang.
ECCV 2024
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Enhance Image-Based Rendering with Unsupervised Source-View Geometric Constrain
Youyu Chen, Junjun Jiang, Yuanqi Yao, Kui Jiang, Wenbo Zhao, Xianming Liu.
Under Review, 2024
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MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models
Tianle Gu, Zeyang Zhou, Kexin Huang, Dandan Liang, Yixu Wang, Haiquan Zhao, Yuanqi Yao, Xingge Qiao, Keqing Wang, Yujiu Yang, Yan Teng, Yu Qiao, Yingchun Wang.
NeurIPS 2024