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Yiwen Guo is an independent research scientist. He used to work at ByteDance AI Lab and Intel Labs . He receieved his PhD degree from the Department of Electronic Engineering, Tsinghua University in 2016, and the Bachelor's degree from Wuhan University.
Articles 1–20. Research Scientist - Cited by 4,206 - Machine Learning - Deep Learning - Image Processing.
Yiwen Guo received the BE degree from Wuhan University, in 2011, and the PhD degree from Tsinghua University, in 2016. He is a research scientist with ByteDance AI Lab, Beijing. Prior to this, he was a staff research scientist with Intel Labs China.
Aug 1, 2016 · View Yiwen Guo’s profile on LinkedIn, a professional community of 1 billion members. Researcher at ByteDance · All about machine learning, computer vision, and security.<br>Current...
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Jul 15, 2024 · Zixian Guo, Yuxiang Wei, Ming Liu, Zhilong Ji, Jinfeng Bai, Yiwen Guo, Wangmeng Zuo: Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation. EMNLP (Findings) 2023 : 5356-5368
Oct 17, 2020 · Paper. Code. Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation. 1 code implementation • 26 Dec 2023 • Zixian Guo , Yuxiang Wei , Ming Liu , Zhilong Ji , Jinfeng Bai , Yiwen Guo , WangMeng Zuo.
Dec 7, 2020 · Yiwen Guo, Qizhang Li, Hao Chen. The vulnerability of deep neural networks (DNNs) to adversarial examples has drawn great attention from the community. In this paper, we study the transferability of such examples, which lays the foundation of many black-box attacks on DNNs.
