Xindi(Cindy) Wu
My research focuses on data for efficient multimodal ml, with a particular interest in dataset distillation and generation.
I am happy to collaborate and answer questions about my research, feel free to send me an email. I especially encourage students from underrepresented groups to reach out.
Email / 
Google Scholar / 
LinkedIn / 
GitHub  / 
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News
07/2024: Gave a talk on Compositional Generation Evaluation ( Slides) at Google Research.
02/2024: Led a discussion on Scaling Law in the PLI Vision-Language Reading Group ( Slides).
02/2024: I am TAing for COS 429 Computer Vision in Spring 2024.
01/2024: Passed my general exam (quals)! ( Video | Slides | Reading List). Huge thanks to my committee members Olga Russakovsky, Szymon Rusinkiewicz and Adji Bousso Dieng for their support and feedback!
09/2023: I am TAing for COS 597O Advanced Topics in Computer Science: Deep Generative Models, with focus on Methods, Applications & Societal Considerations in Fall 2023.
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05/2023: Started my internship at Meta Reality Lab in Redmond, WA on multimodal generative models.
08/2022: Started my PhD journey at Princeton University! 💪
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Publications & Preprints
NeurIPS Datasets & Benchmarks 2024, ECCV Knowledge in Generative Models Workshop (Spotlight)
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WACV 2025
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TMLR 2024, ECCV Dataset Distillation Workshop (Best Paper)
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CVPR 2023
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KDD 2022
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CVPR 2022
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CVPR 2020 (Oral)
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CVPR Workshop, 2020
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BIBM 2019 (Oral)
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Computational Biology, Codon Publications, Brisbane, Australia, 2019
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ICIP 2019
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DSP 2018
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Education
Princeton University, USA
Ph.D. in Computer Science • Aug. 2022 to Now
Advisor: Prof. Olga Russakovsky
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Carnegie Mellon University, USA
M.S. in Computer Vision • Sept. 2020 to Dec. 2021
Advisor: Prof. Deva Ramanan
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Xi'an Jiaotong University, China
B.Sc. in Computer Science • Sep. 2016 to July 2020
Advisor: Prof. Jinjun Wang, Prof. Pengju Ren
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National University of Singapore, Singapore
Summer session • Human Computer Interaction •July 2017 to Aug. 2017
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Experiences
Meta Reality Labs, Meta.
Research Scientist Intern • May. 2023 to Aug. 2023
Mentor: Dr. Shane Moon, Dr. Uriel Singer
Dr. Luna Dong,
Dr. Zhaojiang Lin,
Dr. Paul Crook,
Dr. Andrea Madotto
Dr. Ethan Xu
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Perception ML Team, Snap Inc.
Machine Learning Engineer • Feb. 2022 to July 2022
Research Intern • May. 2021 to Aug. 2021
Mentor: Dr. Alireza Zareian and Dr. Chen Wang
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CMU Argo AI Center for Autonomous Vehicle Research, ArgoAI
Capstone Project • Feb. 2021 to Dec 2021
Advisors: Prof. Deva Ramanan. Mentor: Dr. Aljoša Ošep
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Megvii (Face ++) Research, Megvii
Computer Vision Research Intern • June 2020 to Sept. 2020
Mentor: Banghuai Li
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Computational Biology Department, Carnegie Mellon University, USA
Research Intern • March 2019 to Feb. 2020
Advisor: Prof. Min Xu
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Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, China
Research Intern • Dec. 2017 to Feb. 2019
Advisors: Prof. Pengju Ren and Prof. Jinjun Wang
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Teaching
TA: COS 597O Advanced Topics in Computer Science: Deep Generative Models: Methods, Applications & Societal Considerations.
Fall 2023, Princeton, with instructor: Adji Bousso Dieng.
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Professional Activities & Outreach
Reviewer: CVPR 24'/23'/22', ICLR 25'/24', ICCV 23', ECCV 24'/22', Neurips 23', ICRA 24', BMVC 20', IJCAI 20', workshop: ICLR ME-FoMo 23', Neurips Interpolate 22'.
Committee Member: Diversity, Equity and Inclusion Committee at Robotics Institute, CMU.
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