Zhen Fang

Orcid: 0000-0003-0602-6255

Affiliations:

University of Technology Sydney, Australia (PhD 2021)

According to our database¹, Zhen Fang authored at least 47 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

Characterizing Submanifold Region for Out-of-Distribution Detection.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., January, 2025

2024

Unsupervised Domain Adaptation Enhanced by Fuzzy Prompt Learning.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., July, 2024

Domain Adaptation With Interval-Valued Observations: Theory and Algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., May, 2024

An Extremely Simple Algorithm for Source Domain Reconstruction.

[BibT_eX]

[DOI]

Zhen Fang

Jie Lu

Guangquan Zhang

IEEE Trans. Cybern., March, 2024

Where and How to Transfer: Knowledge Aggregation-Induced Transferability Perception for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Multiclass Classification With Fuzzy-Feature Observations: Theory and Algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., February, 2024

Source-Free Unsupervised Domain Adaptation: Current research and future directions.

[BibT_eX]

[DOI]

Neurocomputing, January, 2024

On the Learnability of Out-of-distribution Detection.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2024

Exclusive Style Removal for Cross Domain Novel Class Discovery.

[BibT_eX]

[DOI]

CoRR, 2024

A Neighbor-Searching Discrepancy-based Drift Detection Scheme for Learning Evolving Data.

[BibT_eX]

[DOI]

CoRR, 2024

Spatio-temporal Heterogeneous Federated Learning for Time Series Classification with Multi-view Orthogonal Training.

[BibT_eX]

[DOI]

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

Towards Robustness Prompt Tuning with Fully Test-Time Adaptation for CLIP's Zero-Shot Generalization.

[BibT_eX]

[DOI]

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

Prompt-Based Memory Bank for Continual Test-Time Domain Adaptation in Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

CLIP-Enhanced Unsupervised Domain Adaptation with Consistency Regularization.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

Knowledge Distillation with Auxiliary Variable.

[BibT_eX]

[DOI]

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

NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Out-of-Distribution Detection with Negative Prompts.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Negative Label Guided OOD Detection with Pretrained Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

How Does Unlabeled Data Provably Help Out-of-Distribution Detection?

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Enhancing Vision-Language Models Incorporating TSK Fuzzy System for Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Fuzzy Systems, 2024

2023

Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Semi-Supervised Heterogeneous Domain Adaptation: Theory and Algorithms.

[BibT_eX]

[DOI]

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

Invariant Learning via Probability of Sufficient and Necessary Causes.

[BibT_eX]

[DOI]

CoRR, 2023

Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources.

[BibT_eX]

[DOI]

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

Invariant Learning via Probability of Sufficient and Necessary Causes.

[BibT_eX]

[DOI]

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

SODA: Robust Training of Test-Time Data Adaptors.

[BibT_eX]

[DOI]

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

Learning to Augment Distributions for Out-of-distribution Detection.

[BibT_eX]

[DOI]

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

One-step Domain Adaptation Approach with Partial Label.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

Detecting Out-of-distribution Data through In-distribution Class Prior.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Moderately Distributional Exploration for Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Meta OOD Learning For Continuously Adaptive OOD Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Kecor: Kernel Coding Rate Maximization for Active 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multi-model Transfer Learning and Genotypic Analysis for Seizure Type Classification.

[BibT_eX]

[DOI]

Proceedings of the Health Information Science - 12th International Conference, 2023

Continual Named Entity Recognition without Catastrophic Forgetting.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Multiple Teacher Model for Continual Test-Time Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022

Learning From a Complementary-Label Source Domain: Theory and Algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Multi-class Classification with Fuzzy-feature Observations: Theory and Algorithms.

[BibT_eX]

[DOI]

CoRR, 2022

Is Out-of-Distribution Detection Learnable?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Federated Class-Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Bridging Theory and Algorithms for Open-Set and Heterogeneous Domain Adaptations

[BibT_eX]

[DOI]

Zhen Fang

PhD thesis, 2021

Open Set Domain Adaptation: Theoretical Bound and Algorithm.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Confident Anchor-Induced Multi-Source Free Domain Adaptation.

[BibT_eX]

[DOI]

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

Learning Bounds for Open-Set Learning.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?

[BibT_eX]

[DOI]

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

2020

Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Unsupervised Domain Adaptation with Sphere Retracting Transformation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Zhen Fang

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