Xu Cheng

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 18

Top Topics

Privacy Protection

Pure Nash Equilibrium

Rational Agents

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Huilin Zhou, Jie Ren, Huiqi Deng, Xu Cheng, Jinpeng Zhang, Quanshi Zhang
Interpretability of Neural Networks Based on Game-theoretic Interactions. Mach. Intell. Res. 21 (4) (2024)
Xu Cheng, Hao Zhang, Yue Xin, Wen Shen, Quanshi Zhang
Clarifying the Behavior and the Difficulty of Adversarial Training. AAAI (2024)
Dongrui Liu, Huiqi Deng, Xu Cheng, Qihan Ren, Kangrui Wang, Quanshi Zhang
Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities. NeurIPS (2023)
Quanshi Zhang, Xu Cheng, Yilan Chen, Zhefan Rao
Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Quanshi Zhang, Xu Cheng, Yilan Chen, Zhefan Rao
Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification. CoRR (2022)
Quanshi Zhang, Xin Wang, Jie Ren, Xu Cheng, Shuyun Lin, Yisen Wang, Xiangming Zhu
Proving Common Mechanisms Shared by Twelve Methods of Boosting Adversarial Transferability. CoRR (2022)
Xu Cheng, Hao Zhang, Yue Xin, Wen Shen, Jie Ren, Quanshi Zhang
Why Adversarial Training of ReLU Networks Is Difficult? CoRR (2022)
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)
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 (2021)
Xu Cheng, Xin Wang, Haotian Xue, Zhengyang Liang, Quanshi Zhang
A Hypothesis for the Aesthetic Appreciation in Neural Networks. CoRR (2021)
Xu Cheng, Chuntung Chu, Yi Zheng, Jie Ren, Quanshi Zhang
A Game-Theoretic Taxonomy of Visual Concepts in DNNs. CoRR (2021)
Die Zhang, Hao Zhang, Huilin Zhou, Xiaoyi Bao, Da Huo, Ruizhao Chen, Xu Cheng, Mengyue Wu, Quanshi Zhang
Building Interpretable Interaction Trees for Deep NLP Models. AAAI (2021)
Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Yiting Chen, Xu Cheng, Xin Wang, Meng Zhou, Jie Shi, Quanshi Zhang
A Unified Game-Theoretic Interpretation of Adversarial Robustness. CoRR (2021)
Die Zhang, Huilin Zhou, Xiaoyi Bao, Da Huo, Ruizhao Chen, Xu Cheng, Hao Zhang, Mengyue Wu, Quanshi Zhang
Interpreting Hierarchical Linguistic Interactions in DNNs. CoRR (2020)
Hao Zhang, Yiting Chen, Haotian Ma, Xu Cheng, Qihan Ren, Liyao Xiang, Jie Shi, Quanshi Zhang
Rotation-Equivariant Neural Networks for Privacy Protection. CoRR (2020)
Xu Cheng, Zhefan Rao, Yilan Chen, Quanshi Zhang
Explaining Knowledge Distillation by Quantifying the Knowledge. CoRR (2020)
Xu Cheng, Zhefan Rao, Yilan Chen, Quanshi Zhang
Explaining Knowledge Distillation by Quantifying the Knowledge. CVPR (2020)
Hao Zhang, Xu Cheng, Yiting Chen, Quanshi Zhang
Game-Theoretic Interactions of Different Orders. CoRR (2020)