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上海交通大学张拳石招硕士/博士/博后-深度学习理论/可解释性等方向

轻松参会 • 3 周前 • 36 次点击  

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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