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.

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 to enhance autonomous decision-making capabilities in novel and unknown environments.

PhD students:

Emily Jia (co-advised with Yajie Zhao)
Jiageng Mao (Qualcomm Fellow)
Jiawei Yang (Nvidia Fellow, Annenberg Fellow)
Junjie Ye (Qualcomm Fellow, Capital One Fellow)
Cameron Smith
Siheng Zhao

MS students:

Undergrads:

Dylan Sun

Visitors:

Ziyu Chen

Alumni:

James Qian (Next stop: Stanford)

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

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.
Oct 1, 2024	Serve as Area Chairs for 3DV 2025, ICLR 2025, CVPR 2025, and a Presentation Chair for RSS 2025.
Sep 25, 2024	Three papers (including one spotlight) accepted to NeurIPS 2024.

selected publications

ICLR Oral

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Wei Chow*, Jiageng Mao*, Boyi Li, Daniel Seita, Vitor Campagnolo Guizilini, and Yue Wang

In International Conference on Learning Representations 2025

Bib PDF

@inproceedings{chow2025,
  title = {PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding},
  author = {Chow*, Wei and Mao*, Jiageng and Li, Boyi and Seita, Daniel and Guizilini, Vitor Campagnolo and Wang, Yue},
  year = {2025},
  booktitle = {International Conference on Learning Representations},
}

ICLR Spotlight

OmniRe: Omni Urban Scene Reconstruction

Ziyu Chen, Jiawei Yang, Jiahui Huang, Riccardo Lutio, Janick Martinez Esturo, Boris Ivanovic, Or Litany, Zan Gojcic, Sanja Fidler, Marco Pavone, Li Song, and Yue Wang

In International Conference on Learning Representations 2025

Bib PDF Code Website

@inproceedings{chen2025,
  title = {OmniRe: Omni Urban Scene Reconstruction},
  author = {Chen, Ziyu and Yang, Jiawei and Huang, Jiahui and de Lutio, Riccardo and Esturo, Janick Martinez and Ivanovic, Boris and Litany, Or and Gojcic, Zan and Fidler, Sanja and Pavone, Marco and Song, Li and Wang, Yue},
  year = {2025},
  booktitle = {International Conference on Learning Representations},
}

ICLR Spotlight

LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation models

Ziqi Lu, Heng Yang, Danfei Xu, Boyi Li, Boris Ivanovic, Marco Pavone, and Yue Wang

In International Conference on Learning Representations 2025

Bib PDF

@inproceedings{lu2025,
  title = {LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation models},
  author = {Lu, Ziqi and Yang, Heng and Xu, Danfei and Li, Boyi and Ivanovic, Boris and Pavone, Marco and Wang, Yue},
  year = {2025},
  booktitle = {International Conference on Learning Representations},
}

ICLR

STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor Scenes

Jiawei Yang, Jiahui Huang, Yuxiao Chen, Yan Wang, Boyi Li, Yurong You, Apoorva Sharma, Maximilian Igl, Peter Karkus, Danfei Xu, Boris Ivanovic, Yue Wang*, and Marco Pavone*

In International Conference on Learning Representations 2025

Bib PDF Website

@inproceedings{yang2025,
  title = {STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor Scenes},
  author = {Yang, Jiawei and Huang, Jiahui and Chen, Yuxiao and Wang, Yan and Li, Boyi and You, Yurong and Sharma, Apoorva and Igl, Maximilian and Karkus, Peter and Xu, Danfei and Ivanovic, Boris and Wang*, Yue and Pavone*, Marco},
  year = {2025},
  booktitle = {International Conference on Learning Representations},
}

CORL Oral

RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation

Yuxuan Kuang, Junjie Ye, Haoran Geng, Jiageng Mao, Congyue Deng, Leonidas Guibas, He Wang, and Yue Wang

In The Conference on Robot Learning 2024

Bib PDF Code Website

@inproceedings{kuang2024,
  title = {RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation},
  author = {Kuang, Yuxuan and Ye, Junjie and Geng, Haoran and Mao, Jiageng and Deng, Congyue and Guibas, Leonidas and Wang, He and Wang, Yue},
  year = {2024},
  booktitle = {The Conference on Robot Learning},
}

COLM

A Language Agent for Autonomous Driving

Jiageng Mao*, Junjie Ye*, Yuxi Qian, Marco Pavone, and Yue Wang

In Conference on Language Modeling 2024

Bib PDF Website

@inproceedings{mao2024agent,
  title = {A Language Agent for Autonomous Driving},
  author = {Mao*, Jiageng and Ye*, Junjie and Qian, Yuxi and Pavone, Marco and Wang, Yue},
  year = {2024},
  booktitle = {Conference on Language Modeling},
}

ECCV Oral

Denoising Vision Transformers

Jiawei Yang*, Katie Z Luo*, Jiefeng Li, Congyue Deng, Leo Guibas, Kilian Q Weinberger, Yonglong Tian, and Yue Wang

In The European Conference on Computer Vision 2024

Bib PDF Website

@inproceedings{yang2024dvt,
  title = {Denoising Vision Transformers},
  author = {Yang*, Jiawei and Luo*, Katie Z and Li, Jiefeng and Deng, Congyue and Guibas, Leo and Weinberger, Kilian Q and Tian, Yonglong and Wang, Yue},
  year = {2024},
  booktitle = {The European Conference on Computer Vision},
}

ICLR

EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision

Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, Seung Wook Kim, Boyi Li, Tong Che, Danfei Xu, Sanja Fidler, Marco Pavone, and Yue Wang

In International Conference on Learning Representations 2024

Bib PDF Code Website

@inproceedings{yang2023emernerf,
  title = {EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision},
  author = {Yang, Jiawei and Ivanovic, Boris and Litany, Or and Weng, Xinshuo and Kim, Seung Wook and Li, Boyi and Che, Tong and Xu, Danfei and Fidler, Sanja and Pavone, Marco and Wang, Yue},
  year = {2024},
  booktitle = {International Conference on Learning Representations},
}