Ziqi Wen

University of California, Santa Barbara (UCSB), Computer Science Department

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3806 Psychology East

I’m currently a first year Computer Science PhD Student at University of California, Santa Barbara (UCSB), advised by Professor Miguel Eckstein in Vision and Image Understanding Lab (VIU).

My current research interests lie in the interdisciplinary field of computer vision and cognitive psychology. Specifically, does the model behave similarly or differently compared with humans across different visual cognitive tasks? And what causes the similarities or differences? Can we refine the model with the inspiration from Neuronscience and cognitive psychology? Can have a better model of human visual process with deep neural network?

Before attending UCSB, I earned my master degree Master of Computational Data Science (MCDS) degree of the Language Technologies Institute (LTI) in the School of Computer Science (SCS) at Carnegie Mellon University (CMU). advised by 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.

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