陈典威 ☕️
陈典威

Ph.D. Candidate

University of Maryland, College Park

About Me

Chien Shiung Wu is a professor of artificial intelligence at the Stanford AI Lab. Her research interests include distributed robotics, mobile computing and programmable matter. She leads the Robotic Neurobiology group, which develops self-reconfiguring robots, systems of self-organizing robots, and mobile sensor networks.

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Interests
  • Artificial Intelligence
  • Autonomous Driving
  • Smart Transportation
Education

  • PhD Civil and Environmental Engineering

    University of Maryland, College Park

  • MS Electrical & Computer Engineering

    The Ohio State University

  • BEng Ocean Engineering and Technology

    Zhejiang University

📚 My Research

Use this area to speak to your mission. I’m a research scientist in the Moonshot team at DeepMind. I blog about machine learning, deep learning, and moonshots.

I apply a range of qualitative and quantitative methods to comprehensively investigate the role of science and technology in the economy.

Please reach out to collaborate 😃

Featured Publications
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Recent Publications
Dianwei Chen, Zifan Zhang, Yuchen Liu, Xianfeng Terry Yang (2025). INSIGHT: Enhancing Autonomous Driving Safety through Vision-Language Models on Context-Aware Hazard Detection and Edge Case Evaluation. arXiv e-prints.
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Dianwei Chen, Yaobang Gong, Xianfeng Yang (2024). Deep Reinforcement Learning for Advanced Longitudinal Control and Collision Avoidance in High-Risk Driving Scenarios. arXiv preprint arXiv:2404.19087.
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Dianwei Chen (2023). Adversarial Pedestrian Modeling based on Deep Reinforcement Learning Method by Using Collision Momentum.
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Dianwei Chen, Ekim Yurtsever, Keith a Redmill, Ümit Özgüner (2023). Using collision momentum in deep reinforcement learning based adversarial pedestrian modeling. 2023 IEEE Intelligent Vehicles Symposium (IV).
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陈典威 (2019). An example preprint / working paper.
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