主页:
http://qszhang.com/
Quanshi Zhang
Associate Professor
国家级海外高层次人才引进计划 ACM China新星奖
John Hopcroft Center for Computer Science, School of electronic information and electrical engineering,
Shanghai Jiao Tong University
招生 Prospective Ph.D., Master, and undergraduate students: I
am looking for highly motivated students to work together on the
interpretability of neural networks, deep learning theory, and other
frontier topics in machine learning and computer vision. Please read “写给学生” and send me your CV and transcripts.
写给学生链接:
http://qszhang.com/index.php/tostudents/
张老师邮箱:
zqs1022@sjtu.edu.cn
张老师知乎:
https://www.zhihu.com/people/quanshi.zhang/posts
张老师CV:
http://qszhang.com/files/CV.pdf
张老师Research Interests:
My
research mainly focuses on explainable AI, including XAI theories,
designing interpretable neural networks, and explaining the
representation power (e.g., the adversarial robustness and
generalization power) of neural networks. In particular, I aim to build
up a theoretic system based on game-theoretic interactions, which
provides a new perspective to theoretically connect symbolic concepts
encoded by a DNN with the DNN’s generalization power and robustness. I
also use the game-theoretic interaction to prove the common mechanism
shared by many recent heuristic deep-learning methods.
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