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  1. sg.linkedin.com › in › qingyi-chen-2212a3252Qingyi Chen - Assistant Manager Learning Development - LinkedIn

    Assistant Manager Learning Development at Singapore Airlines · Experience: Singapore Airlines · Location: 228211. View Qingyi Chen’s profile on LinkedIn, a professional community of 1 billion...

    • Singapore Airlines
    • Singapore, Singapore

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    • Qingyi CHEN | Guangzhou University, Guangzhou | School of Geography and ...
    • European Girls’ Mathematical Olympiad: Qingyi Chen
    • Qingyi Chen - Architectural Designer - KPF | LinkedIn
    • people – Situated Language and Embodied Dialogue (SLED) Research Group
    • People — UM Ford Center for Autonomous Vehicles (FCAV)

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  3. ieeexplore.ieee.org › author › 37089535946Qingyi Chen | IEEE Xplore Author Details

    Qingyi Chen | IEEE Xplore Author Details. Affiliation. University of Michigan. Publication Topics.

  4. www.researchgate.net › profile › Qingyi-Chen-5Qingyi CHEN | National University of Singapore, Singapore | NUS...

    Contact. Connect with experts in your field. Join ResearchGate to contact this researcher and connect with your scientific community. Join for free. Log in. About. Network. About. Current...

  5. sg.linkedin.com › in › qingyi-chen-bb89a02a1Qingyi Chen - Singapore, Singapore | Professional Profile |...

    View Qingyi Chen’s professional profile on LinkedIn. LinkedIn is the world’s largest business network, helping professionals like Qingyi Chen discover inside connections to recommended job...

  6. www.linkedin.com › in › qingyi-chen-62b5a251Qingyi Chen - Architectural Designer - KPF | LinkedIn

    Architectural Designer at KPF · Experience: KPF · Education: Southern California Institute of Architecture · Location: New York · 500+ connections on LinkedIn.

    • 500+
    • 1.3K
    • KPF
    • New York, New York, United States

  7. www.researchgate.net › profile › Qingyi-ChenQingyi CHEN | Research profile

    Qingyi CHEN | Contact Qingyi CHEN | ResearchGate, the professional network for scientists.

  8. roahmlab.github.io › RDFReachability-based Trajectory Design with Neural Implicit Safety...

    This is particularly challenging if the robot must also operate in real-time to quickly adjust to changes in its environment. This paper addresses these challenges by proposing Reachability-based Signed Distance Functions (RDFs) as a neural implicit representation for robot safety.