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Shuyao Shang I'm a second-year Ph.D. student at the NLPR, Institute of Automation, Chinese Academy of Sciences (CASIA) in Beijing, supervised by Prof. Tieniu Tan and Prof. Zhaoxiang Zhang. My research interests span End-to-end autonomous driving, Reinforcement learning, and World models. I am committed to developing intelligent agents that can autonomously evolve intelligence in open-world exploration, and "Pursuing the Nature of Intelligence" .
$$\text{Knowledge}=\int_{0}^{t}\text{Intelligence}\,\mathrm{d}t$$
$$\text{Intelligence}=\frac{\mathrm{d}}{\mathrm{d}t}\text{Knowledge}.$$
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Publications |
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DriveDPO: Policy Learning via Safety DPO for End-to-End Autonomous Driving
Shuyao Shang, Yuntao Chen, Yuqi Wang, Yingyan Li, Zhaoxiang Zhang† NeurIPS, 2025 A Safety-DPO policy learning framework that unifies policy distillation and trajectory-level safety preference alignment. |
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ResDiff: Combining CNN and Diffusion Model for Image Super-Resolution
Shuyao Shang, Zhengyang Shan, Guangxing Liu, Lunqian Wang, Xinghua Wang, Zekai Zhang, Jinglin Zhang† AAAI, 2024 A hybrid approach that guides diffusion in the residual space relative to a CNN prediction to improve high-frequency detail. |
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Faster and Lighter Meteorological Satellite Image Classification by a Lightweight Channel-Dilation-Concatenation Net
Shuyao Shang, Jinglin Zhang, Xing Wang†, Xinghua Wang, Yuanjun Li, Yuanjiang Li IEEE J-STARS, 2023 A Channel-Dilation-Concatenation network structure to reduce parameters and inference time while retaining accuracy. |
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CTMU-net: An Improved U-Net for Semantic Segmentation of Remote-Sensing Images with Combined Attention Mechanisms
Yuanjun Li, Zhiyu Zhu, Yuanjiang Li, Jinglin Zhang, Xi Li, Shuyao Shang, Dewen Zhu† IEEE J-STARS, 2023 Enhances U-Net for remote-sensing segmentation via combined attention. |
Education
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Awards & Achievements
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© Shuyao Shang |