Yiting Chen

Orcid: 0000-0001-7837-7076

Affiliations:
  • Shanghai Jiao Tong University, China


According to our database1, Yiting Chen authored at least 12 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Graph Out-of-Distribution Detection Goes Neighborhood Shaping.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Energy-based Out-of-Distribution Detection for Graph Neural Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Rethinking and Improving Robustness of Convolutional Neural Networks: a Shapley Value-based Approach in Frequency Domain.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DICE: Domain-attack Invariant Causal Learning for Improved Data Privacy Protection and Adversarial Robustness.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms.
CoRR, 2021

Game-theoretic Understanding of Adversarially Learned Features.
CoRR, 2021

Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Game-Theoretic Interactions of Different Orders.
CoRR, 2020

Rotation-Equivariant Neural Networks for Privacy Protection.
CoRR, 2020

Deep Quaternion Features for Privacy Protection.
CoRR, 2020


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