Hanxun Yu's Homepage
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Hanxun Yu (于瀚勋)
Master Student (M0). Zhejiang University (ZJU), China. Email: hanxun.yu@zju.edu.cn hanxun_yu@whu.edu.cn Wechat: hanxunyu828 Curriculum Vitae |
Biography
Hello! I am a master student in Zhejiang University majoring in Artifical Intelligence supervised by Prof. Jianke Zhu .
I have obtained B.E. with hornors from the school of Computer Science in Wuhan University supervised by Prof. Zheng Wang .
Here is my Curriculum Vitae.
I used to be a summer research intern in-person at McGill University and
Mila - Quebec AI Institute in Montreal, Canada, under the supervision of Prof. Xujie Si.
Prior to that, I was a remote visit student at KAIST, Korea, supervised by Prof. Chang D. Yoo.
My research interests mainly lie at the intersection of computer vision and machine learning, specifically on attacking object detection model by using kinds of adversarial examples.
I am always open to new topics!
News
- [07/2023] One paper is accepted by ACM MM'23.
- [12/2022] Receive National Scholarship in 2022.
- [06/2022] Submit one paper to IEEE Transactions on Multimedia(TMM).
- [01/2022] Join iURP, KAIST, Remote Visit Student, supervsied by Prof. Chang D. Yoo.
- [12/2021] Accepted to the Mitacs(in Canada) Globalink Research Internship 2022 program, supervised by Prof. Xujie Si. Looking forward to the summer in Montreal!
Research Interests
Machine Learning
Adversarial Example
Autonomuous Driving
Education
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Wuhan University (WHU)
Wuhan, China
Sep. 2019 - Jun. 2023
B.Eng, Computer Science and Technology, School of Computer Science.
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Nanyang Technological University (NTU)
Singapore
Jan. 2022 - Mar. 2022
Artificial Intelligence Internship Programme about Computer Vision and Data Science
Grade: The final winning team (as a leader) [Commendation Letter]
Publications
*: Co-first authors-
Moiré Backdoor Attack (MBA): A Novel Trigger for Pedestrian Detectors in the Physical World
Proceedings of the 31st ACM International Conference on Multimedia (ACM MM), 2023
Hui Wei*, Hanxun Yu*, Kewei Zhang, Zhixiang Wang, Jianke Zhu, Zheng Wang
Download [PDF]
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Aesthetic Yet Customizable Adversarial Patches Towards Physical Attacks
IEEE Transactions on Multimedia(TMM), under review.
Hui Wei, Hanxun Yu, Zhixiang Wang, Shin'ichi Satoh, Hao Tang, Zheng Wang
Download [PDF]
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Physical Adversarial Attack meets Computer Vision: A Decade Survey
Hui Wei, Hao Tang, Xuemei Jia, Hanxun Yu, Zhubo Li, Zhixiang Wang, Shin'ichi Satoh, Zheng Wang
Download [PDF]
Experience
Research Experience
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Mila - Quebec AI Institute,
McGill University
Montreal, Canada
Jun. 2022 - Oct. 2022
Research Intern
Advisor: Xujie Si
Topic: Unsupervised Learning Methods for Program Repair Tasks Automatically.
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AI&Multimedia Lab, Wuhan University
Wuhan, China
Sep. 2021 - Current
Research Intern
Advisor: Zheng Wang
Topic: Generating Stylized Adversarial Patches towards Physical Attacks
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Artificial Intelligence & Machine Learning Lab,
KAIST
Daejeon, Korea
Dec. 2021 - Feb. 2022
Remote Visit Student [Certificate]
Advisor: Chang D. Yoo
Topic: Study of Uncertainty in Bayesian Neural Network Prediction.
Professional Experience
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YouTu Lab, Tencent Company
[CNweb]
Shenzhen, China
Jul. 2020 - Sep. 2020
Algorithm Engineering Intern
Awards & Honors
2022. National Scholarship Top 0.2% Nationwide, China
2020,2021,2022. First-Class Scholarship of Excellent Undergraduate Student in Wuhan University (Top 5%)
2022. Mitacs-CSC Globalink Research Internship Scholarship
2022. First Prize in Chinese Undergraduate Computer Design Contest
2022. Provincial Silver Award of 'Internet+' Innovation and Entrepreneurship Competition
2022. Provincial Silver Award of The ”Challenge Cup”
Services
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Invited Conference Reviewer:
ACM MM 2023
Hobbies
Animals, Music, Basketball, Hot food