Yiting Chen
sjtucyt@sjtu.edu.cn
Shanghai, China
I am a fourth-year Ph.D. candidate in Computer Science at Shanghai Jiao Tong University. I am very fortunate to be advised by Prof. Junchi Yan. Prior to that, I received my bachelor degree in Computer Science and Engineering at Shanghai Jiao Tong University.
My research interests lie in exploring the underlying mechanisms of deep learning to uncover the fundamental principles that govern model behavior. I am particularly focused on promoting the efficiency of deep neural networks by developing innovative methodologies that enhance interpretability and reduce computational costs. Through a phenomenon-driven approach, I aim to bridge the gap between theoretical insights and practical applications, ultimately contributing to the advancement of robust and efficient AI systems.
I welcome discussions with fellow researchers, practitioners, and anyone interested in deep learning and AI. Please feel free to reach out if you would like to exchange ideas.
news
Sep 26, 2024 | Two papers are accepted by NeurIPS 2024! |
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May 02, 2024 | One paper is accepted by ICML2024! |
Jan 16, 2024 | One paper is accepted by ICLR2024! |
Jan 23, 2023 | Two papers are accepted by ICLR2023! |
Sep 15, 2022 | One paper is accepted by NeurIPS2022 (spotlight)! |
selected publications
- Rethinking and Improving Robustness of Convolutional Neural Networks: a Shapley Value-based Approach in Frequency DomainIn Advances in Neural Information Processing Systems (NeurIPS), 2022
- Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category TheoryIn International Conference on Learning Representations (ICLR), 2024