Mengze Li

Orcid: 0000-0002-3482-234X

Affiliations:
  • Zhejiang University, Hangzhou, China


According to our database1, Mengze Li authored at least 22 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2025
Backpropagation-Free Multi-modal On-Device Model Adaptation via Cloud-Device Collaboration.
ACM Trans. Multim. Comput. Commun. Appl., February, 2025

2024
Transferring Causal Mechanism over Meta-representations for Target-Unknown Cross-domain Recommendation.
ACM Trans. Inf. Syst., July, 2024

Backpropogation-Free Multi-modal On-Device Model Adaptation via Cloud-Device Collaboration.
CoRR, 2024

Enabling Collaborative Clinical Diagnosis of Infectious Keratitis by Integrating Expert Knowledge and Interpretable Data-driven Intelligence.
CoRR, 2024

Hierarchical Debiasing and Noisy Correction for Cross-domain Video Tube Retrieval.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Semantic Alignment for Multimodal Large Language Models.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Cross-modal Observation Hypothesis Inference.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Panoptic Scene Graph Generation with Semantics-Prototype Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer.
CoRR, 2023

IDEAL: Toward High-efficiency Device-Cloud Collaborative and Dynamic Recommendation System.
CoRR, 2023

Unsupervised Domain Adaptation for Video Object Grounding with Cascaded Debiasing Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ART: rule bAsed futuRe-inference deducTion.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

WINNER: Weakly-supervised hIerarchical decompositioN and aligNment for spatio-tEmporal video gRounding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Are Binary Annotations Sufficient? Video Moment Retrieval via Hierarchical Uncertainty-based Active Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multi-modal Action Chain Abductive Reasoning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
BOSS: Bottom-up Cross-modal Semantic Composition with Hybrid Counterfactual Training for Robust Content-based Image Retrieval.
CoRR, 2022

Attribute-aware interpretation learning for thyroid ultrasound diagnosis.
Artif. Intell. Medicine, 2022

HERO: HiErarchical spatio-tempoRal reasOning with Contrastive Action Correspondence for End-to-End Video Object Grounding.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

End-to-End Modeling via Information Tree for One-Shot Natural Language Spatial Video Grounding.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
A network-based four-phase routing approach of multisource design change propagation on complex products.
Kybernetes, 2021

2020
IB-M: A Flexible Framework to Align an Interpretable Model and a Black-box Model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020


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