Yuntao Du

Orcid: 0009-0001-4709-4003

Affiliations:

BIGAI, State Key Laboratory of General Artificial Intelligence, China
Shandong University, School of Software, Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), China
Nanjing University, State Key Laboratory for Novel Software Technology, China (former)

According to our database¹, Yuntao Du authored at least 42 papers between 2018 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Article

PhD thesis

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Bibliography

2025

MV-Debate: Multi-view Agent Debate with Dynamic Reflection Gating for Multimodal Harmful Content Detection in Social Media.

[BibT_eX]

[DOI]

CoRR, August, 2025

When Large Multimodal Models Confront Evolving Knowledge:Challenges and Pathways.

[BibT_eX]

[DOI]

CoRR, May, 2025

RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task Solving.

[BibT_eX]

[DOI]

CoRR, May, 2025

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models.

[BibT_eX]

[DOI]

CoRR, May, 2025

MuSIA: Exploiting multi-source information fusion with abnormal activations for out-of-distribution detection.

[BibT_eX]

[DOI]

Neural Networks, 2025

Multi-source fully test-time adaptation.

[BibT_eX]

[DOI]

Neural Networks, 2025

Enhancing few-shot out-of-distribution intent detection by reducing attention misallocation.

[BibT_eX]

[DOI]

Neurocomputing, 2025

LaplaceConfidence: A graph-based approach for learning with noisy labels.

[BibT_eX]

[DOI]

Intell. Data Anal., 2025

MMKE-Bench: A Multimodal Editing Benchmark for Diverse Visual Knowledge.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Robust Logit Adjustment for Learning with Long-Tailed Noisy Data.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Generation, augmentation, and alignment: a pseudo-source domain based method for source-free domain adaptation.

[BibT_eX]

[DOI]

Mach. Learn., June, 2024

Enhancing Test Time Adaptation with Few-shot Guidance.

[BibT_eX]

[DOI]

CoRR, 2024

VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding.

[BibT_eX]

[DOI]

CoRR, 2024

Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

[inline-graphic not available: see fulltext]VideoAgent: A Memory-Augmented Multimodal Agent for Video Understanding.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

CLOVA: A Closed-LOop Visual Assistant with Tool Usage and Update.

[BibT_eX]

[DOI]

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

2023

Bidirectional View based Consistency Regularization for Semi-Supervised Domain Adaptation.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels.

[BibT_eX]

[DOI]

CoRR, 2023

CESED: Exploiting Hyperspherical Predefined Evenly-Distributed Class Centroids for OOD Detection.

[BibT_eX]

[DOI]

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Self-Training with Label-Feature-Consistency for Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2023

Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning transferable and discriminative features for unsupervised domain adaptation.

[BibT_eX]

[DOI]

Intell. Data Anal., 2022

Spatial-Temporal Graph Convolutional Gated Recurrent Network for Traffic Forecasting.

[BibT_eX]

[DOI]

CoRR, 2022

InCo: Intermediate Prototype Contrast for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Joint Feature and Labeling Function Adaptation for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Semi-supervised Learning with Multi-Head Co-Training.

[BibT_eX]

[DOI]

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

2021

SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings.

[BibT_eX]

[DOI]

Heng-Yang Lu

Yi Zhang

Yuntao Du

Data Technol. Appl., 2021

Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation.

[BibT_eX]

[DOI]

CoRR, 2021

Nested Dense Attention Network for Single Image Super-Resolution.

[BibT_eX]

[DOI]

Cheng Qiu

Yirong Yao

Yuntao Du

Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

DMSPool: Dual Multi-Scale Pooling for Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2021

Unsupervised Domain Adaptation with Unified Joint Distribution Alignment.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2021

Self Separation and Misseparation Impact Minimization for Open-Set Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2021

Cross-Domain Error Minimization for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2021

Adversarial Separation Network for Cross-Network Node Classification.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

AdaRNN: Adaptive Learning and Forecasting of Time Series.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Unsupervised domain adaptation with exploring more statistics and discriminative information.

[BibT_eX]

[DOI]

CoRR, 2020

Dual Adversarial Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2020

Unsupervised Domain Adaptation with Joint Domain-Adversarial Reconstruction Networks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Mining Knowledge within Categories in Global and Local Fashion for Multi-Label Text Classification.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2018

HetEOTL: An Algorithm for Heterogeneous Online Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Yuntao Du

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