Yue Wang
I am an Assistant Professor at USC CS (2023 Fall-), leading the Physical Superintelligence Lab. I graduated from MIT EECS in 2022, advised by Prof. Justin Solomon at the Geometric Data Processing Group. Previously, I was a master’s student at the University of California, San Diego. Prior to that, I received my BEng in Computer Science from Zhejiang University.
Hiring: I am looking to hire multiple PhDs/visiting students who are highly motivated and excited about robotics. 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.
Our goal is to solve the data problem first, then solve robotics. We work on generative data engines for robotics, humanoids, and dexterous manipulation.
PhD students:
- Emily Jia (co-advised with Yajie Zhao)
- Jiageng Mao (Qualcomm Fellow, Nvidia Fellow)
- Jiawei Yang (Nvidia Fellow, Annenberg Fellow, Qualcomm Fellow)
- Junjie Ye (Qualcomm Fellow, Capital One Fellow)
- Cameron Smith (Qualcomm Fellow)
- Siheng Zhao (Amazon ML Fellow)
- 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
- Songlin Wei
- Junying Wang (co-advised with Ulrich Neumann)
- Quankai Gao (co-advised with Ulrich Neumann)
- Letao Chen (co-advised with Oded Stein)
- Dylan Rowe (co-advised with Oded Stein)
MS students:
- Ting-Hsuan Chen
- Hongyi Jing
- Rong Xue
- Henghui Bao
- Peilin Cai
- Sicheng He
- Alex Romanus
- Weiduo Yuan
Undergrads:
- Dylan Sun
- Kaidi Kang
- Zhenyu Zhao
- William Liu
- Rodrigo Andrade
Alumni:
- James Qian (Undergrad → transferred to Stanford)
- Ziyu Chen (MS → PhD at Stanford with Jiajun Wu and Fei-Fei Li)
- Scott Gao (MS → PhD with Jernej Barbic)
- Mingtong Zhang (MS → PhD at Princeton with Dhruv Shah)
- Haozhe Lou (MS → PhD at Tsinghua)
- Wei Zhou (Undergrad → PhD at UPenn with Jiatao Gu and Antonio Loquercio)
- Yuxuan Kuang (Undergrad → PhD at CMU)
- Timing Yang (MS → PhD at JHU with Alan Yuille)
Selected Awards:
- Best Open-Source Award, IROS 2025 RoboGen Workshop
- Best Paper Award, IROS 2025 RGMCW Workshop
- Toyota Research Young Faculty Fellowship, 2024
- Powell Faculty Research Award, 2024
- Best Paper Award, Inaugural ICBS, 2023
- Nvidia Fellowship, 2020
- MIT William A. Martin Master’s Thesis Award, 2021
news
| Jan 20, 2026 | Four papers accepted to ICLR 2026 and four papers accepted to ICRA 2026! Congratulations to all my students and collaborators. |
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| Sep 25, 2025 | Two papers accepted to NeurIPS 2025. ManipBench is accepted to CoRL 2025. |
| Aug 15, 2025 | Three papers accepted to ICCV 2025. UH1 is accepted to Humanoids 2025. RoLA is accepted to CoRL 2025. |
| 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. |
| Oct 1, 2024 | Serve as Area Chairs for 3DV 2025, ICLR 2025, CVPR 2025, and a Presentation Chair for RSS 2025. |