Yiting Chen - RankMe

18 papers A* 10Journal 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Interpretable Rotation-Equivariant Multiary-Valued Network for Attribute Obfuscation. IEEE Trans. Pattern Anal. Mach. Intell. Quanshi Zhang, Hao Zhang, Yiting Chen, Qihan Ren, Jie Ren, Xu Cheng, Liyao Xiang
2025	A*	`conf`	Regularizing Energy among Training Samples for Out-of-Distribution Generalization. ICLR Yiting Chen, Qitian Wu, Junchi Yan
2024	A*	`conf`	Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory. ICLR Yiting Chen, Zhanpeng Zhou, Junchi Yan
2024	A*	`conf`	Graph Out-of-Distribution Detection Goes Neighborhood Shaping. ICML Tianyi Bao, Qitian Wu, Zetian Jiang, Yiting Chen, Jiawei Sun, Junchi Yan
2024	A*	`conf`	Unveiling The Matthew Effect Across Channels: Assessing Layer Width Sufficiency via Weight Norm Variance. NeurIPS Yiting Chen, Jiazi Bu, Junchi Yan
2024	A*	`conf`	What Rotary Position Embedding Can Tell Us: Identifying Query and Key Weights Corresponding to Basic Syntactic or High-level Semantic Information. NeurIPS Yiting Chen, Junchi Yan
2023	A*	`conf`	Energy-based Out-of-Distribution Detection for Graph Neural Networks. ICLR Qitian Wu, Yiting Chen, Chenxiao Yang, Junchi Yan
2023	J	`jnl`	Energy-based Out-of-Distribution Detection for Graph Neural Networks. CoRR Qitian Wu, Yiting Chen, Chenxiao Yang, Junchi Yan
2023	J	`jnl`	Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory. CoRR Yiting Chen, Zhanpeng Zhou, Junchi Yan
2023	A*	`conf`	Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case. ICLR Runzhong Wang, Li Shen, Yiting Chen, Xiaokang Yang, Dacheng Tao, Junchi Yan
2022	A*	`conf`	DICE: Domain-attack Invariant Causal Learning for Improved Data Privacy Protection and Adversarial Robustness. KDD Qibing Ren, Yiting Chen, Yichuan Mo, Qitian Wu, Junchi Yan
2022	A*	`conf`	Rethinking and Improving Robustness of Convolutional Neural Networks: a Shapley Value-based Approach in Frequency Domain. NeurIPS Yiting Chen, Qibing Ren, Junchi Yan
2021	J	`jnl`	Game-theoretic Understanding of Adversarially Learned Features. CoRR Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Xu Cheng, Xin Wang, Yiting Chen, Jie Shi, Quanshi Zhang
2021	J	`jnl`	OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms. CoRR Nanyang Ye, Kaican Li, Lanqing Hong, Haoyue Bai, Yiting Chen, Fengwei Zhou, Zhenguo Li
2021	A*	`conf`	Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness. NeurIPS Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Yiting Chen, Xu Cheng, Xin Wang, Meng Zhou, Jie Shi, Quanshi Zhang
2020	J	`jnl`	Deep Quaternion Features for Privacy Protection. CoRR Hao Zhang, Yiting Chen, Liyao Xiang, Haotian Ma, Jie Shi, Quanshi Zhang
2020	J	`jnl`	Game-Theoretic Interactions of Different Orders. CoRR Hao Zhang, Xu Cheng, Yiting Chen, Quanshi Zhang
2020	J	`jnl`	Rotation-Equivariant Neural Networks for Privacy Protection. CoRR Hao Zhang, Yiting Chen, Haotian Ma, Xu Cheng, Qihan Ren, Liyao Xiang, Jie Shi, Quanshi Zhang