Ziqi Wen

Carnegie Mellon University, School of Computer Science (SCS)

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5000 Forbes Ave, Pittsburgh, PA, 15213

I’m currently a graduate student in Carnegie Mellon University (CMU), pursing the Master of Computational Data Science (MCDS) degree of the Language Technologies Institute (LTI) in the School of Computer Science (SCS). Currently I’m doing research under supervision of Prof.Tai Sing Lee . Before attened CMU, I have received me bachelor’s degree in Computer Science and Technology from Zhejiang University (ZJU) in China, supervised by Prof.Zhaopeng Cui. I was also minor in psychology during undergraduate studying.

My current research primarily concentrates on the inherent biases towards shape and texture in different computer vision models. It has been shown that human vision exhibits a profound bias towards shapes, utilizing geons and compositional reasoning to excel in generalizing across vastly distinct domains. Drawing inspiration from the complex functioning of the visual cortex in processing image information, our objective is to construct a deep learning model that can effectively comprehend the global shape within images. The culmination of this endeavor aims to yield a model that can exhibit increased robustness and demonstrates superior generalization capacity.

Refer to my resume for more detail.

news

Apr 7, 2024 🎉 Exciting News! 🎉 I am thrilled to announce that I will be starting my journey towards a Ph.D. in Computer Science at the University of California, Santa Barbara (UCSB) this coming fall.
Sep 21, 2023 🎉 Exciting News! 🎉 We’re thrilled to announce that our paper, Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity, has been accepted for an Oral Presentation at NeurIPS2023!
Jun 30, 2022 Graduated with Bachelor of Engineering in Computer Science and Technology as outstanding graduates of Zhejiang University(ZJU)
Mar 3, 2022 Be accepted to the Master of Computational Data Science (MCDS) program of the Language Technologies Institute in the School of Computer Science at Carnegie Mellon University.

selected publications

2024

  1. sparse_activation.png
    Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity
    Tianqin Li, Ziqi Wen, Yangfan Li, and 1 more author
    Advances in Neural Information Processing Systems (Oral), 2024
  2. DiST.png
    Does resistance to style-transfer equal Global Shape Bias? Measuring network sensitivity to global shape configuration
    Ziqi Wen, Tianqin Li, Zhi Jing, and 1 more author
    ICLR 2024 Workshop on Representational Alignment, 2024