Jie Li

Orcid: 0000-0003-3102-6425

Affiliations:

Shanghai Artificial Intelligence Laboratory, China
Xiamen University, School of Informatics, Department of Artificial Intelligence, China (PhD 2023)

According to our database¹, Jie Li authored at least 23 papers between 2019 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Can Unified Generation and Understanding Models Maintain Semantic Equivalence Across Different Output Modalities?

[BibT_eX]

[DOI]

CoRR, February, 2026

Unleashing MLLMs on the Edge: A Unified Framework for Cross-Modal ReID via Adaptive SVD Distillation.

[BibT_eX]

[DOI]

CoRR, February, 2026

OpenRT: An Open-Source Red Teaming Framework for Multimodal LLMs.

[BibT_eX]

[DOI]

CoRR, January, 2026

2025

Evolve the Method, Not the Prompts: Evolutionary Synthesis of Jailbreak Attacks on LLMs.

[BibT_eX]

[DOI]

CoRR, November, 2025

FreezeVLA: Action-Freezing Attacks against Vision-Language-Action Models.

[BibT_eX]

[DOI]

CoRR, September, 2025

LinguaSafe: A Comprehensive Multilingual Safety Benchmark for Large Language Models.

[BibT_eX]

[DOI]

CoRR, August, 2025

Probing the Robustness of Large Language Models Safety to Latent Perturbations.

[BibT_eX]

[DOI]

CoRR, June, 2025

JailBound: Jailbreaking Internal Safety Boundaries of Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, May, 2025

Argus Inspection: Do Multimodal Large Language Models Possess the Eye of Panoptes?

[BibT_eX]

[DOI]

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

DS-VLM: Diffusion Supervision Vision Language Model.

[BibT_eX]

[DOI]

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

Double-Filter: Efficient Fine-tuning of Pre-trained Vision-Language Models via Patch&Layer Filtering.

[BibT_eX]

[DOI]

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

2024

HODN: Disentangling Human-Object Feature for HOI Detection.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Prompting to Adapt Foundational Segmentation Models.

[BibT_eX]

[DOI]

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

2023

Improving Human-Object Interaction Detection via Virtual Image Learning.

[BibT_eX]

[DOI]

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

2022

Black-Box Dissector: Towards Erasing-Based Hard-Label Model Stealing Attack.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Learn Transferable Attack.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Black-Box Dissector: Towards Erasing-based Hard-Label Model Stealing Attack.

[BibT_eX]

[DOI]

CoRR, 2021

Aha! Adaptive History-driven Attack for Decision-based Black-box Models.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Projection & Probability-Driven Black-Box Attack.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Font generation based on least squares conditional generative adversarial nets.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2019

Universal Perturbation Attack Against Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Universal Adversarial Perturbation via Prior Driven Uncertainty Approximation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning Neural Bag-of-Matrix-Summarization with Riemannian Network.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Jie Li

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Bibliography

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