Xu Cheng

According to our database, Xu Cheng authored at least 17 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Interpretability of Neural Networks Based on Game-theoretic Interactions.

Huilin Zhou, Jie Ren, Huiqi Deng, Xu Cheng, Jinpeng Zhang, Quanshi Zhang

Mach. Intell. Res., August, 2024

Layerwise Change of Knowledge in Neural Networks.

Xu Cheng, Lei Cheng, Zhaoran Peng, Yang Xu, Tian Han, Quanshi Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Clarifying the Behavior and the Difficulty of Adversarial Training.

Xu Cheng, Hao Zhang, Yue Xin, Wen Shen, Quanshi Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification.

Quanshi Zhang, Xu Cheng, Yilan Chen, Zhefan Rao

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Network Transplanting for the Functionally Modular Architecture.

Quanshi Zhang, Xu Cheng, Xin Wang, Yu Yang, Yingnian Wu

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities.

Dongrui Liu, Huiqi Deng, Xu Cheng, Qihan Ren, Kangrui Wang, Quanshi Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Proving Common Mechanisms Shared by Twelve Methods of Boosting Adversarial Transferability.

Quanshi Zhang, Xin Wang, Jie Ren, Xu Cheng, Shuyun Lin, Yisen Wang, Xiangming Zhu

CoRR, 2022

Why Adversarial Training of ReLU Networks Is Difficult?

Xu Cheng, Hao Zhang, Yue Xin, Wen Shen, Jie Ren, Quanshi Zhang

CoRR, 2022

2021

A Hypothesis for the Aesthetic Appreciation in Neural Networks.

Xu Cheng, Xin Wang, Haotian Xue, Zhengyang Liang, Quanshi Zhang

CoRR, 2021

A Game-Theoretic Taxonomy of Visual Concepts in DNNs.

Xu Cheng, Chuntung Chu, Yi Zheng, Jie Ren, Quanshi Zhang

CoRR, 2021

Game-theoretic Understanding of Adversarially Learned Features.

Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Xu Cheng, Xin Wang, Yiting Chen, Jie Shi, Quanshi Zhang

CoRR, 2021

Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness.

Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Yiting Chen, Xu Cheng, Xin Wang, Meng Zhou, Jie Shi, Quanshi Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Building Interpretable Interaction Trees for Deep NLP Models.

Die Zhang, Hao Zhang, Huilin Zhou, Xiaoyi Bao, Da Huo, Ruizhao Chen, Xu Cheng, Mengyue Wu, Quanshi Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Game-Theoretic Interactions of Different Orders.

Hao Zhang, Xu Cheng, Yiting Chen, Quanshi Zhang

CoRR, 2020

Interpreting Hierarchical Linguistic Interactions in DNNs.

Die Zhang, Huilin Zhou, Xiaoyi Bao, Da Huo, Ruizhao Chen, Xu Cheng, Hao Zhang, Mengyue Wu, Quanshi Zhang

CoRR, 2020

Rotation-Equivariant Neural Networks for Privacy Protection.

Hao Zhang, Yiting Chen, Haotian Ma, Xu Cheng, Qihan Ren, Liyao Xiang, Jie Shi, Quanshi Zhang

CoRR, 2020

Explaining Knowledge Distillation by Quantifying the Knowledge.

Xu Cheng, Zhefan Rao, Yilan Chen, Quanshi Zhang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020