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Changyin Sun

As seen in: Nature, Wiley Online Library, arXiv
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Articles

Embodied cognition-driven interpretable trajectory prediction of autonomous systems

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By Xiao Wang, Quancheng Du, Qiong Wu, Xiaofeng Jia, Liang Lin, Changyin Sun, Fei-Yue Wang, Ljubo Vlacic
| Nature Verified
Abstract For autonomous systems to operate safely and reliably in dense traffic, they must perform trajectory prediction with human-like, interpretable reasoning. Prevailing data-driven “black-box” models fundamentally lack this capability.
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ImagineNav++: Prompting Vision-Language Models as Embodied Navigator through Scene Imagination

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By Xinxin Zhao, Wenzhe Cai, Changyin Sun
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Optimal Proactive Eavesdropping Scheme Based on Stackelberg Game Framework Against State‐Secrecy Encoding: A Deep Reinforcement Learning Approach

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By Kecheng Liu, Tiejun Wu, Ya Zhang, Changyin Sun
| Wiley Online Library Verified
Conflicts of Interest The authors declare no conflicts of interest. References 1, , and , “Adaptive Secure Transmission Based on Collaborative Communication in Smart Grids,” IEEE Transactions on Smart Grid 14, no. 1 (2022): 823–832. 2 and , “Relentless False Data Injection Attacks Against Kalman-Filter-Based Detection in Smart Grid,” IEEE Transactions on Control of Network Systems 9, no. 3 (2022): 1238–1250.
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