Fengling Li

Orcid: 0009-0000-2942-4868

Affiliations:

University of Technology Sydney, Faculty of Engineering and Information Technology, Australian Artificial Intelligence Institute, Sydney, Australia

According to our database¹, Fengling Li authored at least 22 papers between 2021 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2025

Attack as Defense: Proactive Adversarial Multi-Modal Learning to Evade Retrieval.

[BibT_eX]

[DOI]

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

Generalizing vision-language models to novel domains: A comprehensive survey.

[BibT_eX]

[DOI]

CoRR, June, 2025

Online Adaptive Fault Diagnosis With Test-Time Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, January, 2025

Fast Partial-Modal Online Cross-Modal Hashing.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2025

Source-free Domain Adaptation with Multiple Alignment for Efficient Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Cross-Modal Retrieval: A Systematic Review of Methods and Future Directions.

[BibT_eX]

[DOI]

Proc. IEEE, November, 2024

Cross-Domain Transfer Hashing for Efficient Cross-Modal Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., October, 2024

Invisible Black-Box Backdoor Attack against Deep Cross-Modal Hashing Retrieval.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., July, 2024

Temporal Social Graph Network Hashing for Efficient Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., July, 2024

Online Query Expansion Hashing for Efficient Image Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., March, 2024

SOIL: Contrastive Second-Order Interest Learning for Multimodal Recommendation.

[BibT_eX]

[DOI]

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

Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

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

Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

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

Agile Multi-Source-Free Domain Adaptation.

[BibT_eX]

[DOI]

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

Effective Comparative Prototype Hashing for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

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

2023

When CLIP meets cross-modal hashing retrieval: A new strong baseline.

[BibT_eX]

[DOI]

Inf. Fusion, December, 2023

One for more: Structured Multi-Modal Hashing for multiple multimedia retrieval tasks.

[BibT_eX]

[DOI]

Expert Syst. Appl., December, 2023

Privacy-Preserving Adaptive Remaining Useful Life Prediction via Source-Free Domain Adaption.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2023

Noise-Robust Continual Test-Time Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Task-Adversarial Adaptation for Multi-modal Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Prototype-guided Knowledge Transfer for Federated Unsupervised Cross-modal Hashing.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2021

Task-adaptive Asymmetric Deep Cross-modal Hashing.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Fengling Li

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