Zhen Fang

Orcid: 0000-0003-0602-6255

Affiliations:

University of Technology Sydney, Australia (PhD 2021)

According to our database¹, Zhen Fang authored at least 72 papers between 2019 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Pseudo-Label Refinement for Multimodal Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., June, 2026

Respecting Modality Gap in Post-hoc Out-of-distribution Detection with Pre-trained Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, May, 2026

Cross-domain Few-shot Classification via Invariant-content Feature Reconstruction.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., February, 2026

How Do Transformers Learn to Associate Tokens: Gradient Leading Terms Bring Mechanistic Interpretability.

[BibT_eX]

[DOI]

CoRR, January, 2026

Toward Trustworthy Vision-language Models in the Wild: Theory, Algorithm and Application.

[BibT_eX]

[DOI]

Bo Peng

Xuefeng Du

Zhen Fang

Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

Debiased Negative Mining Improves Out-of-distribution Detection with Pre-trained Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

On the Provable Importance of Gradients for Language-Assisted Image Clustering.

[BibT_eX]

[DOI]

CoRR, October, 2025

MetaGeno: a chromosome-wise multi-task genomic framework for ischaemic stroke risk prediction.

[BibT_eX]

[DOI]

Briefings Bioinform., July, 2025

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations.

[BibT_eX]

[DOI]

CoRR, June, 2025

Multiview Classification Through Learning From Interval-Valued Data.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., May, 2025

Integrated Image-Text Augmentation for Few-Shot Learning in Vision-Language Models.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., April, 2025

Out-of-Distribution Detection with Virtual Outlier Smoothing.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., February, 2025

Provable Ordering and Continuity in Vision-Language Pretraining for Generalizable Embodied Agents.

[BibT_eX]

[DOI]

CoRR, February, 2025

Characterizing Submanifold Region for Out-of-Distribution Detection.

[BibT_eX]

[DOI]

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

SENA: Leveraging set-level consistency adversarial learning for robust pre-trained language model adaptation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2025

Out-of-distribution detection with non-semantic exploration.

[BibT_eX]

[DOI]

Zhen Fang

Jie Lu

Guangquan Zhang

Inf. Sci., 2025

Learning Robust Spectral Dynamics for Temporal Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

MiraGe: Multimodal Discriminative Representation Learning for Generalizable AI-Generated Image Detection.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Distributional Prototype Learning for Out-of-distribution Detection.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach.

[BibT_eX]

[DOI]

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

Release the Powers of Prompt Tuning: Cross-Modality Prompt Transfer.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Deep Kernel Relative Test for Machine-generated Text Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Characterizing Submanifold Region for Out-of-Distribution Detection: (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

On the Provable Importance of Gradients for Autonomous Language-Assisted Image Clustering.

[BibT_eX]

[DOI]

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

NLPrompt: Noise-Label Prompt Learning for Vision-Language Models.

[BibT_eX]

[DOI]

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

Learning to Shape In-distribution Feature Space for Out-of-distribution Detection.

[BibT_eX]

[DOI]

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

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...