Hao Zhang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 23

Top Topics

Privacy Protection

American Football

Multivariate Normal

Pure Nash Equilibrium

Top Venues

Publications

Huilin Zhou, Hao Zhang, Huiqi Deng, Dongrui Liu, Wen Shen, Shih-Han Chan, Quanshi Zhang
Explaining Generalization Power of a DNN Using Interactive Concepts. AAAI (2024)
Xu Cheng, Hao Zhang, Yue Xin, Wen Shen, Quanshi Zhang
Clarifying the Behavior and the Difficulty of Adversarial Training. AAAI (2024)
Huilin Zhou, Hao Zhang, Huiqi Deng, Dongrui Liu, Wen Shen, Shih-Han Chan, Quanshi Zhang
Concept-Level Explanation for the Generalization of a DNN. CoRR (2023)
Huilin Zhou, Huijie Tang, Mingjie Li, Hao Zhang, Zhenyu Liu, Quanshi Zhang
Explaining How a Neural Network Play the Go Game and Let People Learn. CoRR (2023)
Huiqi Deng, Qihan Ren, Hao Zhang, Quanshi Zhang
Discovering and Explaining the Representation Bottleneck of DNNS. ICLR (2022)
Xu Cheng, Hao Zhang, Yue Xin, Wen Shen, Jie Ren, Quanshi Zhang
Why Adversarial Training of ReLU Networks Is Difficult? CoRR (2022)
Haotian Ma, Hao Zhang, Fan Zhou, Yinqing Zhang, Quanshi Zhang
Quantification and Analysis of Layer-wise and Pixel-wise Information Discarding. ICML (2022)
Hao Zhang, Sen Li, Yinchao Ma, Mingjie Li, Yichen Xie, Quanshi Zhang
Interpreting and Boosting Dropout from a Game-Theoretic View. ICLR (2021)
Quanshi Zhang, Tian Han, Lixin Fan, Zhanxing Zhu, Hang Su, Ying Nian Wu, Jie Ren, Hao Zhang
Proceedings of ICML 2021 Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI. CoRR (2021)
Huiqi Deng, Qihan Ren, Xu Chen, Hao Zhang, Jie Ren, Quanshi Zhang
Discovering and Explaining the Representation Bottleneck of DNNs. CoRR (2021)
Hao Zhang, Yichen Xie, Longjie Zheng, Die Zhang, Quanshi Zhang
Interpreting Multivariate Shapley Interactions in DNNs. AAAI (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)
Xin Wang, Shuyun Lin, Hao Zhang, Yufei Zhu, Quanshi Zhang
Interpreting Attributions and Interactions of Adversarial Attacks. ICCV (2021)
Hao Zhang, Yiting Chen, Liyao Xiang, Haotian Ma, Jie Shi, Quanshi Zhang
Deep Quaternion Features for Privacy Protection. CoRR (2020)
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)
Hao Zhang, Sen Li, Yinchao Ma, Mingjie Li, Yichen Xie, Quanshi Zhang
Interpreting and Boosting Dropout from a Game-Theoretic View. CoRR (2020)
Hao Zhang, Yichen Xie, Longjie Zheng, Die Zhang, Quanshi Zhang
Interpreting Multivariate Interactions in DNNs. CoRR (2020)
Liyao Xiang, Hao Zhang, Haotian Ma, Yifan Zhang, Jie Ren, Quanshi Zhang
Interpretable Complex-Valued Neural Networks for Privacy Protection. ICLR (2020)
Hao Zhang, Xu Cheng, Yiting Chen, Quanshi Zhang
Game-Theoretic Interactions of Different Orders. CoRR (2020)
Hao Zhang, Jiayi Chen, Haotian Xue, Quanshi Zhang
Towards a Unified Evaluation of Explanation Methods without Ground Truth. CoRR (2019)
Liyao Xiang, Haotian Ma, Hao Zhang, Yifan Zhang, Quanshi Zhang
Complex-Valued Neural Networks for Privacy Protection. CoRR (2019)
Quanshi Zhang, Ying Nian Wu, Hao Zhang, Song-Chun Zhu
Mining deep And-Or object structures via cost-sensitive question-answer-based active annotations. Comput. Vis. Image Underst. (2018)