Hao Zhang

Affiliations:

Shanghai Jiao Tong University, Key Lab of Artificial Intelligence, Shanghai, China
Chongqing University of Posts and Telecommunications, China

According to our database¹, Hao Zhang authored at least 22 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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Links

On csauthors.net:

Bibliography

2024

Explaining Generalization Power of a DNN Using Interactive Concepts.

[BibT_eX]

[DOI]

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

Clarifying the Behavior and the Difficulty of Adversarial Training.

[BibT_eX]

[DOI]

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

2023

Explaining How a Neural Network Play the Go Game and Let People Learn.

[BibT_eX]

[DOI]

CoRR, 2023

Concept-Level Explanation for the Generalization of a DNN.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Why Adversarial Training of ReLU Networks Is Difficult?

[BibT_eX]

[DOI]

CoRR, 2022

Quantification and Analysis of Layer-wise and Pixel-wise Information Discarding.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Discovering and Explaining the Representation Bottleneck of DNNS.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Discovering and Explaining the Representation Bottleneck of DNNs.

[BibT_eX]

[DOI]

CoRR, 2021

Proceedings of ICML 2021 Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI.

[BibT_eX]

[DOI]

CoRR, 2021

Interpreting and Boosting Dropout from a Game-Theoretic View.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Interpreting Attributions and Interactions of Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Building Interpretable Interaction Trees for Deep NLP Models.

[BibT_eX]

[DOI]

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

Interpreting Multivariate Shapley Interactions in DNNs.

[BibT_eX]

[DOI]

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

2020

Game-Theoretic Interactions of Different Orders.

[BibT_eX]

[DOI]

CoRR, 2020

Interpreting Multivariate Interactions in DNNs.

[BibT_eX]

[DOI]

CoRR, 2020

Interpreting Hierarchical Linguistic Interactions in DNNs.

[BibT_eX]

[DOI]

CoRR, 2020

Rotation-Equivariant Neural Networks for Privacy Protection.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Quaternion Features for Privacy Protection.

[BibT_eX]

[DOI]

CoRR, 2020

Interpretable Complex-Valued Neural Networks for Privacy Protection.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Towards a Unified Evaluation of Explanation Methods without Ground Truth.

[BibT_eX]

[DOI]

CoRR, 2019

Complex-Valued Neural Networks for Privacy Protection.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Mining deep And-Or object structures via cost-sensitive question-answer-based active annotations.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2018

Hao Zhang

Timeline

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