Hao Zhang

Orcid: 0009-0007-1175-5918

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 33 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

ClearSR: Latent Low-Resolution Image Embeddings Help Diffusion-Based Real-World Super Resolution Models See Clearer.

[BibT_eX]

[DOI]

CoRR, 2024

ConsisSR: Delving Deep into Consistency in Diffusion-based Image Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2024

High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity.

[BibT_eX]

[DOI]

CoRR, 2024

Scalable Visual State Space Model with Fractal Scanning.

[BibT_eX]

[DOI]

CoRR, 2024

Crafter: Facial Feature Crafting against Inversion-based Identity Theft on Deep Models.

[BibT_eX]

[DOI]

Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

Non-uniform Timestep Sampling: Towards Faster Diffusion Model Training.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Chain of Visual Perception: Harnessing Multimodal Large Language Models for Zero-shot Camouflaged Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Improving Adversarial Energy-Based Model via Diffusion Process.

[BibT_eX]

[DOI]

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

Beta-Tuned Timestep Diffusion Model.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

SAFNet: Selective Alignment Fusion Network for Efficient HDR Imaging.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 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

Generalization and Hallucination of Large Vision-Language Models through a Camouflaged Lens.

[BibT_eX]

[DOI]

CoRR, 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

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