C.W. Yang @chunwei_mark
My research interests are smart mobility, autonomous driving, and logistics. Joined March 2022-
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Join us at @NASEMTRB #ARTS23 from July 9-13. We look forward to speaking at the Forum on AI in Automated Mobility, and following the conference discussion on AV safety, V&V, policy, and more. Find us at our booth to learn more about our software solutions. #TRBautomated
1.Simulation is critical for safe self-driving. Can we turn a scenario described in text into realistic traffic simulation? Our work combines scene-level diffusion models and GPT4 to achieve it! @davrempe @Yuxiao_Chen_ @iamborisi @yulong_c @danfei_xu @drmapavone @baishakhir
It is such a great pleasure to meet with old and new friends at the Sustainable Urban Mobility Workshop organized by Google Research. I presented recent work on probabilistic modeling of spatiotemporal data and its applications in Bayesian optimization. youtu.be/XGXUDINIPD8?t=…
Check out the Dean of Engineering at HKUST Prof. Hong K. Lo's sharing of his vision in shaping engineering and university education. 📺Watch playback at HOY TV hoy.tv/episodes/%E8%8… (Cantonese only) @hkust @hkustengineering
BIG, BIG NEWS. 🤖🚘 We’re doubling the size of our territory in Metro Phoenix, launching another pickup and dropoff location at Phoenix Sky Harbor, and serving riders in Scottsdale. Read the latest about Waymo One, including updates in San Francisco: blog.waymo.com/2023/05/waymo-…
Simulating long-tail traffic scenarios is critical to AV testing. How can we use ML to create realistic and controllable traffic simulation? Our #ICRA2023 paper combines diffusion models and differentiable signal temporal logic to do exactly this!
We are excited to announce the release of Traffic Behavior Simulation (TBSIM) developed by the Nvidia Autonomous Vehicle research group (nvr-avg.github.io), which is our software infrastructure for closed-loop simulation with data-driven traffic agents. (1/7)
This is what a @cruise fully driverless car—powered by state-of-the-art machine learning—is capable of. No human behind the wheel at all.

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