My name is Zhuoran Yu and I am a third-year CS Ph.D student at UW-Madison advised by Prof. Yong Jae Lee. Previously, I obtained my Masters in Computer Science from Georgia Institute of Technology where I worked with Prof. Zsolt Kira. I am generally interested in data-centric approaches to improve computer vision models and multimodal LLMs. I am also interested in curating datasets in specific ways to unveil the "mystery" of multimodal LLM.

• How Multimodal LLMs Solve Image Tasks: A Lens on Visual Grounding, Task Reasoning, and Answer Decoding
  Zhuoran Yu, Yong Jae Lee
  Conference on Language Modeling (COLM), 2025
  [arxiv]
  

• LASER: Lip Landmark Assisted Speaker Detection for Robustness
  Le Thien Phuc Nguyen*, Zhuoran Yu*, Yong Jae Lee (* equal contribution)
  IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2026
  [arxiv] [code]
  

• CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems
  Aniket Rege, Zinnia Nie, Mahesh Ramesh, Unmesh Raskar, Zhuoran Yu, Aditya Kusupati*, Yong Jae Lee*, and Ramya Korlakai Vinayak* (* equal advising)
  IEEE/CVF International Conference on Computer Vision (ICCV), 2025
  [arxiv] [code]
  

• Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images
  Zhuoran Yu, Chenchen Zhu, Sean Culatana, Raghuraman Krishnamoorthi, Fanyi Xiao*, Yong Jae Lee* (* equal advising)
  Transactions on Machine Learning Research (TMLR), 2025 (Featured Certificate)
  [arxiv] [openreview]
  

• Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation
  Zhuoran Yu*, Manchen Wang*, Yanbei Chen, Paolo Favaro, Davide Modolo
  IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
  [arxiv]
  

• InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning
  Zhuoran Yu, Yin Li, Yong Jae Lee
  International Conference on Learning Representations (ICLR), 2023
  [arxiv] [code]
  

• Group R-CNN for Weakly Semi-supervised Object Detection with Points
  Shilong Zhang*, Zhuoran Yu*, Liyang Liu*, Xinjiang Wang, Aojun Zhou, Kai Chen (* equal contribution)
  Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
  [arxiv] [code]
  

• Scale-Equalizing Pyramid Convolution for Object Detection
  Xinjiang Wang*, Shilong Zhang*, Zhuoran Yu, Litong Feng, Wayne Zhang (* equal contribution)
  Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
  [arxiv] [code]
  

• Research Scientist Intern, IBM Watson Lab (May 2025 - August 2025)

• Research Scientist Intern, Meta FAIR (May 2024 - August 2024)

• Research Scientist Intern, Meta CORE AI (May 2023 - August 2024)

• Applied Scientist Intern, AWS Rekognition (May 2022 - August 2022)

• Research Intern, SenseTime (May 2019 - December 2019)

• Teaching Assistant: CS 354 Intro to Computer Systems (September 2021 - December 2021)

• Teaching Assistant: CS 7643 Deep Learning (January 2020 - April 2021)

• Teaching Assistant: CS 7641 Machine Learning (January 2019 - April 2019)

• First-year Scholarship, UW-Madison (2021)

• Arthur Beaumont Memorial Scholarship, University of Waterloo (2018)