Justin (Zhaocong) Yuan
ML Research @ Qualcomm | ex-Nvidia | ex-Apple | MASc UofT
I obtained my MASc degree in RL and Robotics from University of Toronto, advised by Angela Schoellig at Dynamic Systems Lab (DSL), also part of Vector Institute and UofT Robotics Institute. Previously, I received my BASc degree in Engineering Science from UofT. I was also an intern in Nvidia Toronto AI lab advised by Sanja Fidler, Apple Siri team based in Seattle, and Data-Driven Decision Making Lab advised by Scott Sanner. My prior works largely focus on safe RL, transfer learning, and Sim-to-Real tasks.
I currently work at Qualcomm to develop multi-modal Transformer models for mobile/on-device applications, exploring various topics such as model distillation, quantization, and parameter efficient finetuning for LLMs or other foundation models.
In my leisure time, I play fingerstyle guitar and badminton .
news
Sep 25, 2024 | Paper “Stepping Forward on the Last Mile” accepted to NeurIPS 2024. [link] |
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Feb 21, 2023 | Join Qualcomm as a Machine Learning Research Engineer on the Embedded AI (eAI) Team. |
Oct 23, 2022 | IROS 2022 presentation of our safe-control-gym paper. |
latest posts
Oct 16, 2024 | Vector Quantization - A Quick Dive |
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