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Hi! I am a master's student in Artificial Intelligence at Tsinghua University, advised by Prof. Yansong Tang and Prof. Jiwen Lu at THU-IVG Lab. I received my B.S. degree in Artificial Intelligence from Beijing Normal University in 2024. Before that, I worked as an intern at BNU-IVC Lab under the supervision of Prof. Yongzhen Huang and Prof. Saihui Hou, conducting research on gait recognition. My research interests include Embodied AI and human-robot interaction. |
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(*Equal contribution, #Corresponding author) |
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JD Joy Future Academy (core contributor) arXiv, 2026 [Tech Report] [Project Page] A simulation data transformation toolchain, Robot ⇌ Simulation ⇌ Human, built upon the embodied data pyramid. |
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JD Joy Future Academy (core contributor) arXiv, 2026 [Tech Report] [Project Page] A vision-language-action (VLA) embodied foundation model tailored for generalizable robotic manipulation. |
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Ao Li*, Yonggen Ling*, Yiyang Lin, Yuji Wang, Yong Deng, Yansong Tang European Conference on Computer Vision (ECCV), 2026 [Paper] [Code] We propose TAIHRI, the first vision-language model (VLM) tailored for close-range HRI perception, capable of understanding users' motion commands and directing the robot's attention to the most task-relevant keypoints. |
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Yixuan Zhu*, Shilin Ma*, Haolin Wang, Ao Li, Yanzhe Jing, Yansong Tang#, Lei Chen, Jiwen Lu, Jie Zhou The Fourteenth International Conference on Learning Representations (ICLR), 2026 [Paper] [Code] [Project Page] We introduce VARestorer, a one-step VAR distillation framework for real-world image super-resolution that mitigates error accumulation. |
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Ao Li, Jinpeng Liu, Yixuan Zhu, Yansong Tang IEEE International Conference on Computer Vision (ICCV), 2025 [arXiv] [Code] We propose ScoreHOI, a framework for human-object interaction reconstruction via score-guided diffusion to enhance the physical plausibility. |
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Yixuan Zhu, Haolin Wang, Ao Li, Wenliang Zhao, Yansong Tang, Jingxuan Niu, Lei Chen, Jie Zhou, Jiwen Lu The Thirteenth International Conference on Learning Representations (ICLR), 2025 [Paper] We propose InstaRevive, a straightforward yet powerful image enhancement framework that employs score-based diffusion distillation to leverage strong generative capabilities and reduce the number of sampling steps. |
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Yixuan Zhu*, Ao Li*, Yansong Tang#, Wenliang Zhao, Jie Zhou, Jiwen Lu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 [arXiv] [Code] [Project Page] We propose a new method to exploit diffusion priors for human mesh recovery (HMR) in occlusion and crowded scenarios. |
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Yixuan Zhu, Wenliang Zhao, Ao Li, Yansong Tang#, Jie Zhou, Jiwen Lu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 Oral Presentation [arXiv] [Code] We propose a unified framework for various efficient image enhancement tasks with generative diffusion priors. |
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