George Z. Wei (魏治鸿)

I'm a 2nd year MSR at Carnegie Mellon University advised by Prof. László Jeni working on 3D/4D reconstruction and multimodal benchmarking.

Previously, I was a Research Scientist/Engineer Intern at Adobe Research mentored by Krishna Mullia, where I worked on high-resolution and HDR Gaussian Splatting.

Before that, I was an AI Resident at Meta in FAIR advised by Dr. Satwik Kottur. There I worked on egocentric video-language modeling and long egocentric video understanding.

I completed my undergrad at UMass Amherst in Computer Science and Statistics. There, I worked on the Alexa Prize Taskbot Challenge under the supervision of Prof. Hamed Zamani on In-Task question answering. Also, I was advised by Prof. Mohit Iyyer and Prof. Ina Fiterau on my Honor Thesis examining vision-language pretrained models. During the Summer of 2021, I was fortunate enough to attend REU CAAR working under Prof. John Dickerson and Prof. Tom Goldstein on facial detection/recognition bias and robustness.

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Email: gzw [at] andrew [dot] cmu [dot] edu

News

  • Aug 2025: Wrapped up my internship at Adobe Research! Learned a lot about 3D graphics and research engineering.
  • May 2025: I started my internship at Adobe Research in San Francisco.
  • Aug 2024: I started my MSR at CMU!
  • Jul 2024: I wrapped my AI Residency at Meta! I've learned a lot in my 2 years!
  • Mar 2023: My AI Residency at Meta got extended!
  • Nov 2022: Attending NeurIPS 2022 to present "Robustness Disparities in Face Detection"!
  • Aug 2022: I was invited to review for DSTC 11!
  • Jun 2022: I was invited to review for the NeurIPS Datasets & Benchmark Track!
  • May 2022: I graduated from UMass Amherst!
  • Dec 2021: I defended my Honors Thesis!
  • Sep 2021: I started working on the Alexa Prize Taskbot Challenge.
  • May 2021: I'll be attending REU CAAR virtually.

Selected Publications

MAVERIX: Multimodal Audio-Visual Evaluation Reasoning IndeX

Liuyue Xie*, George Z. Wei*, Avik Kuthiala*, Ce Zheng, Ananya Bal, Mosam Dabhi, Liting Wen, Taru Rustagi, Ethan Lai, Sushil Khyalia, Rohan Choudhury, Morteza Ziyadi, Xu Zhang, Hao Yang, László A. Jeni.

arXiv. 2025.

[Paper]

Robustness Disparities in Face Detection

Samuel Dooley, George Z. Wei, Tom Goldstein, John Dickerson.

Advances in Neural Information Processing Systems. 2022.

[Paper][Website][GitHub]

Comparing Human and Machine Bias in Face Recognition

Samuel Dooley*, Ryan Downing*, George Z. Wei*, Nathan Shankar, Bradon Thymes, Gudrun Thorkelsdottir, Tiye Kurtz-Miott, Rachel Mattson, Olufemi Obiwumi, Valeriia Cherepanova, Micah Goldblum, John P. Dickerson, Tom Goldstein.

arXiv. 2021.

[Paper]

Last Updated: August 25, 2025

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