Yue Wang
I am an Assistant Professor at USC CS (2023 Fall-), leading the Geometry, Vision, and Learning Lab. I graduated from MIT EECS in 2022, advised by Prof. Justin Solomon at the 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 am looking to hire multiple PhDs/visiting students. For PhD applicants, please mention my name in your application. Interested candidates for internship positions can refer to this job post 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:
- Simulation. Constructing photorealistic simulations that replicate rare environments and enabling foundation model learning from synthetic or hybrid data sources.
- Perception. Leveraging geometric, semantic, and motional cues to develop data-efficient algorithms for robust scene perception and understanding in both simulated and real-world settings.
- Decision Making. Integrating knowledge from foundation models (such as LLMs) into intelligent agents for humanoids and robotic manipulation in novel and unknown environments.
PhD students:
- Emily Jia (co-advised with Yajie Zhao)
- Jiageng Mao (Qualcomm Fellow)
- Jiawei Yang (Nvidia Fellow, Annenberg Fellow, Qualcomm Fellow)
- Junjie Ye (Qualcomm Fellow, Capital One Fellow)
- Cameron Smith (Qualcomm Fellow)
- Siheng Zhao
- Yiqi Zhao (co-advised with Jyo Deshmukh and Lars Lindemann)
- Kyle Hatch (co-advised with Daniel Seita)
- Toan Nguyen (co-advised with Daniel Seita)
- Yihe Tang
- Junying Wang (co-advised with Ulrich Neumann)
- Quankai Gao (co-advised with Ulrich Neumann)
MS students:
- Jonathan Zamora
- Ting-Hsuan Chen
- Hongyi Jing
- Rong Xue
Undergrads:
- Dylan Sun
- Kaidi Kang
- Zhenyu Zhao
- William Liu
Alumni:
- James Qian (Next stop: transferred to Stanford)
- Ziyu Chen (Next stop: PhD at Stanford with Jiajun Wu and Fei-Fei Li)
- Scott Gao (Next stop: PhD with Jernej Barbic)
- Mingtong Zhang (Next stop: PhD at Princeton with Dhruv Shah)
- Haozhe Lou
- Wei Zhou (Next stop: PhD at UPenn with Jiatao Gu and Antonio Loquercio)
- Yuxuan Kuang (Next stop: PhD at CMU)
Selected Award:
- Toyota Research Young Faculty Researcher
- Powell Faculty Research Award
- ICBS Best Paper Award
- Nvidia Fellowship
- MIT William A. Martin Master’s Thesis Award
news
| Aug 15, 2025 | Three papers accepted to ICCV 2025. UH1 is accepted to Humanoids 2025. RoLA is accepted to CoRL 2025. |
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| Apr 15, 2025 | RoboVerse is accepted to RSS 2025. Deformable Beta Splatting is accepted to SIGGRAPH 2025. |
| Feb 11, 2025 | PhysBench is selected as an oral presentation (1.8%). OmniRe and LoRA3D are selected as spotlight presentations (5.1%). Congratulations to Wei, Jiageng, Ziyu, and Ziqi. |
| Jan 28, 2025 | Two papers accepted to ICRA 2025! Congratulations to Jiageng and Junjie. |
| Jan 22, 2025 | Eight papers accepted to ICLR 2025! Congratulations to all my students and collaborators. |