yuzhou AT cs.ucla.edu
Yu (Bryan) Zhou
I am a Computer Science Ph.D. student at UCLA, co-advised by Nanyun Peng and Kai-Wei Chang. I work on Multimodality (Vision + Language) and Embodied Learning.
I'm also a research scientist intern at Meta FAIR Perception -> MSL (Meta Superintelligence Labs). Prior to my PhD, I was a visiting researcher at Stanford SVL, working with Jiajun Wu and Fei-Fei Li.
News
- [11/2025] I will give a Natural Language Seminar talk at the Information Sciences Institute (ISI), USC on Nov. 13th.
- [08/2025] I will present at the Salesforce AI Research Future Forum at Salesforce Tower, SF on Aug. 14th.
- [06/2025] Glad to co-organize the Workshop on Foundation Models + Embodied Agents at CVPR 2025.
- [12/2024] Our work Embodied Agent Interface won Best Paper Award 🏆 at SoCal NLP 2024.
Publications (selected)
- Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making
Manling Li*, Shiyu Zhao*, Qineng Wang*, Kangrui Wang*, Yu Zhou* (equal contribution), Sanjana Srivastava, Cem Gokmen, Tony Lee, Li Erran Li, Ruohan Zhang, Weiyu Liu, Percy Liang, Li Fei-Fei, Jiayuan Mao, Jiajun Wu
NeurIPS 2024. Oral (Top 0.4%)
SoCal NLP 2024. Best Paper Award 🏆
- Contrastive Visual Data Augmentation
Yu Zhou*, Bingxuan Li*, Mohan Tang*, Xiaomeng Jin, Te-Lin Wu, Kuan-Hao Huang, Heng Ji, Kai-Wei Chang, Nanyun Peng
ICML 2025.
- Localizing Active Objects from Egocentric Vision with Symbolic World Knowledge
Te-Lin Wu*, Yu Zhou* (equal contribution), Nanyun Peng
EMNLP 2023. Oral Presentation
- Non-Sequential Graph Script Induction via Multimedia Grounding
Yu Zhou, Sha Li, Manling Li, Xudong Lin, Shih-Fu Chang, Mohit Bansal, Heng Ji
ACL 2023.
Services
- Conference Reviewer: NeurIPS, ICLR, CVPR, ACL, EMNLP, NAACL
- Conference Volunteer: ACL 2023