View on GitHub


Yiting Chen

About Me

Currently, I am an Phd student in Department of Computer Science and Engineering at SJTU advised by Professor Junchi Yan.

Selected Publications

Yiting Chen, Zhanpeng Zhou, Junchi Yan. Going Beyong Neural Network Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory. The Twelfth International Conference on Learning Representations (ICLR 2024)

Yiting Chen, Qibing Ren, Junchi Yan. Rethinking and Improving Robustness of Convolutional Neural Networks: a Shapley Value-based Approach in Frequency Domain. Advances in Neural Information Processing Systems(NeurIPS 2022 spotlight)

Qibing Ren, Yiting Chen, Yichuan Mo, Qitian Wu, Junchi Yan. DICE: Domain-attack Invariant Causal Learning for Improved Data Privacy Protection and Adversarial Robustness. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining(KDD 2022)

Qitian Wu, Yiting Chen, Chenxiao Yang, Junchi Yan. Energy-based Out-of-Distribution Detection for Graph Neural Networks. The Eleventh International Conference on Learning Representations (ICLR 2023)

Runzhong Wang, Li Shen, Yiting Chen, Xiaokang Yang, Dacheng Tao, Junchi Yan. Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case. The Eleventh International Conference on Learning Representations (ICLR 2023)