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ORCIDYiting Chen 0003
Person information
- affiliation: Shanghai Jiao Tong University, China
Other persons with the same name
- Yi-Ting Chen (aka: Yiting Chen, Yi Ting Chen) — disambiguation page
- Yiting Chen 0004
![[0009-0003-6386-2740]](https://dblp.org/img/orcid-mark.12x12.png "0009-0003-6386-2740")
— Johns Hopkins University, USA - Yiting Chen 0008 — Boston University, Department of Electrical and Computer Engineering, MA, USA (and 1 more)
- Yiting Chen 0009 — National University of Defense Technology, Science and Technology Laboratory on Information Systems Engineering, Changsha, China
- Yiting Chen 0010 (aka: Yi Ting Chen 0010) — Harbin Institute of Technology Shenzhen (HITSZ), Shenzhen, China
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2020 – today
- 2024
[c7]Yiting Chen, Zhanpeng Zhou, Junchi Yan:
Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory. ICLR 2024- [c6]Tianyi Bao, Qitian Wu, Zetian Jiang, Yiting Chen, Jiawei Sun, Junchi Yan:
Graph Out-of-Distribution Detection Goes Neighborhood Shaping. ICML 2024 - 2023
- [c5]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. ICLR 2023 - [c4]Qitian Wu, Yiting Chen, Chenxiao Yang, Junchi Yan:
Energy-based Out-of-Distribution Detection for Graph Neural Networks. ICLR 2023 - [i7]Qitian Wu, Yiting Chen, Chenxiao Yang, Junchi Yan:
Energy-based Out-of-Distribution Detection for Graph Neural Networks. CoRR abs/2302.02914 (2023) - [i6]Yiting Chen, Zhanpeng Zhou, Junchi Yan:
Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory. CoRR abs/2310.06756 (2023) - 2022
- [c3]Qibing Ren, Yiting Chen, Yichuan Mo, Qitian Wu, Junchi Yan:
DICE: Domain-attack Invariant Causal Learning for Improved Data Privacy Protection and Adversarial Robustness. KDD 2022: 1483-1492 - [c2]Yiting Chen, Qibing Ren, Junchi Yan:
Rethinking and Improving Robustness of Convolutional Neural Networks: a Shapley Value-based Approach in Frequency Domain. NeurIPS 2022 - 2021
- [c1]Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Yiting Chen, Xu Cheng, Xin Wang, Meng Zhou, Jie Shi, Quanshi Zhang:
Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness. NeurIPS 2021: 3797-3810 - [i5]Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Xu Cheng, Xin Wang, Yiting Chen, Jie Shi, Quanshi Zhang:
Game-theoretic Understanding of Adversarially Learned Features. CoRR abs/2103.07364 (2021) - [i4]Nanyang Ye, Kaican Li, Lanqing Hong, Haoyue Bai, Yiting Chen, Fengwei Zhou, Zhenguo Li:
OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms. CoRR abs/2106.03721 (2021) - 2020
- [i3]Hao Zhang, Yiting Chen, Liyao Xiang, Haotian Ma, Jie Shi, Quanshi Zhang:
Deep Quaternion Features for Privacy Protection. CoRR abs/2003.08365 (2020) - [i2]Hao Zhang, Yiting Chen, Haotian Ma, Xu Cheng, Qihan Ren, Liyao Xiang, Jie Shi, Quanshi Zhang:
Rotation-Equivariant Neural Networks for Privacy Protection. CoRR abs/2006.13016 (2020) - [i1]Hao Zhang, Xu Cheng, Yiting Chen, Quanshi Zhang:
Game-Theoretic Interactions of Different Orders. CoRR abs/2010.14978 (2020)
Coauthor Index
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