Jie Ren - RankMe

27 papers A* 9Journal 17Unranked 1

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`	Monitoring Primitive Interactions During the Training of DNNs. AAAI Jie Ren, Xinhao Zheng, Jiyu Liu, Andrew Lizarraga, Ying Nian Wu, Liang Lin, Quanshi Zhang
2024	—	`conf`	Identifying Semantic Induction Heads to Understand In-Context Learning. ACL (Findings) Jie Ren, Qipeng Guo, Hang Yan, Dongrui Liu, Quanshi Zhang, Xipeng Qiu, Dahua Lin
2024	J	`jnl`	Identifying Semantic Induction Heads to Understand In-Context Learning. CoRR Jie Ren, Qipeng Guo, Hang Yan, Dongrui Liu, Xipeng Qiu, Dahua Lin
2024	J	`jnl`	Interpretability of Neural Networks Based on Game-theoretic Interactions. Mach. Intell. Res. Huilin Zhou, Jie Ren, Huiqi Deng, Xu Cheng, Jinpeng Zhang, Quanshi Zhang
2023	A*	`conf`	Can We Faithfully Represent Absence States to Compute Shapley Values on a DNN? ICLR Jie Ren, Zhanpeng Zhou, Qirui Chen, Quanshi Zhang
2023	A*	`conf`	Defining and Quantifying the Emergence of Sparse Concepts in DNNs. CVPR Jie Ren, Mingjie Li, Qirui Chen, Huiqi Deng, Quanshi Zhang
2022	J	`jnl`	Proving Common Mechanisms Shared by Twelve Methods of Boosting Adversarial Transferability. CoRR Quanshi Zhang, Xin Wang, Jie Ren, Xu Cheng, Shuyun Lin, Yisen Wang, Xiangming Zhu
2022	A*	`conf`	Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs. ICML Jie Ren, Mingjie Li, Meng Zhou, Shih-Han Chan, Quanshi Zhang
2022	J	`jnl`	Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs. CoRR Jie Ren, Mingjie Li, Meng Zhou, Shih-Han Chan, Quanshi Zhang
2022	J	`jnl`	Why Adversarial Training of ReLU Networks Is Difficult? CoRR Xu Cheng, Hao Zhang, Yue Xin, Wen Shen, Jie Ren, Quanshi Zhang
2021	J	`jnl`	A Game-Theoretic Taxonomy of Visual Concepts in DNNs. CoRR Xu Cheng, Chuntung Chu, Yi Zheng, Jie Ren, Quanshi Zhang
2021	A*	`conf`	A Unified Approach to Interpreting and Boosting Adversarial Transferability. ICLR Xin Wang, Jie Ren, Shuyun Lin, Xiangming Zhu, Yisen Wang, Quanshi Zhang
2021	J	`jnl`	Discovering and Explaining the Representation Bottleneck of DNNs. CoRR Huiqi Deng, Qihan Ren, Xu Chen, Hao Zhang, Jie Ren, Quanshi Zhang
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	A*	`conf`	Interpreting and Disentangling Feature Components of Various Complexity from DNNs. ICML Jie Ren, Mingjie Li, Zexu Liu, Quanshi Zhang
2021	J	`jnl`	Learning Baseline Values for Shapley Values. CoRR Jie Ren, Zhanpeng Zhou, Qirui Chen, Quanshi Zhang
2021	J	`jnl`	Mining Interpretable AOG Representations From Convolutional Networks via Active Question Answering. IEEE Trans. Pattern Anal. Mach. Intell. Quanshi Zhang, Jie Ren, Ge Huang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu
2021	J	`jnl`	Proceedings of ICML 2021 Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI. CoRR Quanshi Zhang, Tian Han, Lixin Fan, Zhanxing Zhu, Hang Su, Ying Nian Wu, Jie Ren, Hao Zhang
2021	J	`jnl`	Towards Axiomatic, Hierarchical, and Symbolic Explanation for Deep Models. CoRR Jie Ren, Mingjie Li, Qirui Chen, Huiqi Deng, Quanshi Zhang
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
2021	J	`jnl`	Trap of Feature Diversity in the Learning of MLPs. CoRR Dongrui Liu, Shaobo Wang, Jie Ren, Kangrui Wang, Sheng Yin, Quanshi Zhang
2020	J	`jnl`	A Unified Approach to Interpreting and Boosting Adversarial Transferability. CoRR Xin Wang, Jie Ren, Shuyun Lin, Xiangming Zhu, Yisen Wang, Quanshi Zhang
2020	A*	`conf`	Interpretable Complex-Valued Neural Networks for Privacy Protection. ICLR Liyao Xiang, Hao Zhang, Haotian Ma, Yifan Zhang, Jie Ren, Quanshi Zhang
2020	J	`jnl`	Interpreting and Disentangling Feature Components of Various Complexity from DNNs. CoRR Jie Ren, Mingjie Li, Zexu Liu, Quanshi Zhang
2019	A*	`conf`	Explaining Neural Networks Semantically and Quantitatively. ICCV Runjin Chen, Hao Chen, Ge Huang, Jie Ren, Quanshi Zhang
2018	J	`jnl`	Explaining Neural Networks Semantically and Quantitatively. CoRR Runjin Chen, Hao Chen, Ge Huang, Jie Ren, Quanshi Zhang