Yaxin Li(李雅欣)
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Yaxin Li is a graduate student of Department of Computer Science and
Engineering at Michigan State University. Her advisor is
Dr. Jiliang Tang, who devotes great effort on
the field of Data Mining and Machine Learning. Before came to MSU, she had completed her BS (2019) in Department of Automation at Tsinghua University. Email: liyaxin1 at msu dot edu Office: Engineering Building 3308 |
Github Tool
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DeepRobust: Our opensource tool for adversarial attack and defense in image and graph.
News
02/22 Begin to look for a machine learning engineering job position starts from late 2022 or early 2023.
08/21 Find the website of our KDD tutorial here:https://sites.google.com/view/kdd21-tutorial-adv-robust/
08/21 Our survey Trustworthy AI: A Computational Perspective is released.
05/21 Our paper Elastic Graph Neural Networks got accepted in ICML21.
05/21 Our paper To be Robust or to be Fair: Towards Fairness in Adversarial Training got accepted in ICML21.
12/20 Our paper Yet Meta Learning Can Adapt Fast, it Can Also Break Easily is accepted by SDM21.
10/20 Our demo a Platform for Adversarial Attacks and Defenses is accepted by AAAI21.
09/20 Serve as a PC member in AAAI20.
08/20 We are honored to give a tutorial about adversarial attack and defense. Find the website of our KDD tutorial here:Intro&Video
08/20 Received KDD Student Travel Award and severed as volunteer.
07/20 Serve as a volunteer in ICML20. Certification.
06/20 Serve as a PC member in ICONIP20.
05/20 Our tutorial “Adversarial Attacks and Defenses: Frontiers, Advances and Practice” is accepted by KDD20. Looking forward to your attendance!
05/20 Preprint:DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses
04/20 Find our pytorch library for attack and defense in github: https://github.com/DSE-MSU/DeepRobust
03/20 Preprint:Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study
08/19 Join DSE Lab.