Yue Wang
I am an Assistant Professor at USC CS (2023 Fall-), and a part-time Research Scientist at NVIDIA Research (2022 Fall-) working with Prof. Marco Pavone. I graduated from MIT EECS in 2022, advised by Prof. Justin Solomon at Geometric Data Processing Group. I was also fortunate to collaborate with Prof. Michael Bronstein and Prof. Phillip Isola. Previously, I was a master student at University of California, San Diego. Prior to that, I received my BEng in Computer Science from Zhejiang University. I’ve received the Nvidia Fellowship (2020-2021) and the MIT EECS William A. Martin Master’s Thesis Award (2021).
I am looking to hire multiple PhDs/visiting students. In particular, we welcome students from marginalized groups. We firmly support Viterbi school’s DEI initiative to contribute to diversity. For PhD applicants, please mention my name in your application. Interested candidates for visiting positions can fill this form and I will respond as soon as I find a good fit.
My research lies in the intersection of computer vision, computer graphics, and robotics. My goal is to use machine learning to enable robotic intelligence with minimal human supervision. I study how to design 3D learning systems which leverage geometry, appearance, motion, and any other cues that are naturally available in sensory inputs. I am also broadly interested in fundamental deep learning tools and eclectic applications on top of these systems.
Topics I currently focus on include:
- Neural scene representations for autonomous driving and robotics: EmerNeRF, LiNeRF, FreeNeRF
- LLMs as agents for continuous decision making: GPT-Driver, Agent-Driver
- Science of deep learning: DVT
Past topics:
- Geometric deep learning: DGCNN, DCP, PRNet, Object DGCNN, PointGrow
- 3D perception for robotics and autonomous driving: PillarOD, Object DGCNN, DETR3D, HDMapNet
- 2D/3D self-supervised learning and few-shot learning: FeatureDecor, RFS, STAR, RepLearnPoint, GeoMAE
PhD students:
- Emily Jia (co-advised with Yajie Zhao)
- Jiageng Mao
- Jiawei Yang
- Junjie Ye
- Cameron Smith (incoming)
MS students:
Undergrads:
- James Qian
- Dylan Sun
DGCNN received the Frontiers of Science Award (a.k.a Best Paper Award at ICBS), one of the only four awardees in the Graphics and Geometric Computing area in the past 5 years.
news
Feb 1, 2024 | Three papers accepted to CVPR 2024! |
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Nov 1, 2023 | We received an unrestricted gift funding from Google Research to support our research on “Towards Novel Geometric Rrepresentations for Robot Intelligence”. Thanks Google! |
Oct 1, 2023 | We organized “Neural fields for robotics and autonomous driving” at ICCV2023. |
Aug 15, 2023 | I joined USC CS as an Assistant Professor starting Fall 2023! |
Feb 27, 2023 | Four papers (few-shot neural rendering, representation learning for point clouds, end-to-end prediction for AV, and map learning) accepted to CVPR 2023! |