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 55 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

SEMat: Semantic Enhanced Natural Image Interactive Matting.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., April, 2026

C<sup>2</sup>FG: Control Classifier-Free Guidance via Score Discrepancy Analysis.

[BibT_eX]

[DOI]

CoRR, March, 2026

Bidirectional Beta-Tuned Diffusion Model.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., January, 2026

Diffusion for automatic matting.

[BibT_eX]

[DOI]

Neurocomputing, 2026

Bidirectional Noise Injection: Enhancing Diffusion Models via Coordinated Input-Output Perturbation.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Interpretable Rotation-Equivariant Multiary-Valued Network for Attribute Obfuscation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2025

MagicTryOn: Harnessing Diffusion Transformer for Garment-Preserving Video Virtual Try-on.

[BibT_eX]

[DOI]

CoRR, May, 2025

DepthMaster: Taming Diffusion Models for Monocular Depth Estimation.

[BibT_eX]

[DOI]

CoRR, January, 2025

Learning Adaptive Lighting via Channel-Aware Guidance.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Multi-Task Dense Predictions via Unleashing the Power of Diffusion.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SDMATTE: Grafting Diffusion Models for Interactive Matting.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Boosting Vision State Space Model with Fractal Scanning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Learning Adaptive Lighting via Channel-Aware Guidance.

[BibT_eX]

[DOI]

CoRR, 2024

CPA: Camera-pose-awareness Diffusion Transformer for Video Generation.

[BibT_eX]

[DOI]

CoRR, 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

Towards Natural Image Matting in the Wild via Real-Scenario Prior.

[BibT_eX]

[DOI]

CoRR, 2024

SAFNet: Selective Alignment Fusion Network for Efficient HDR Imaging.

[BibT_eX]

[DOI]

CoRR, 2024

Scalable Visual State Space Model with Fractal Scanning.

[BibT_eX]

[DOI]

CoRR, 2024

Empowering Segmentation Ability to Multi-modal Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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

Revisiting Single Image Reflection Removal in the Wild.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Multi-Task Dense Prediction via Mixture of Low-Rank Experts.

[BibT_eX]

[DOI]

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

Timeline

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