[Google Scholar]: https://scholar.google.com/citations?user=1ogwTXkAAAAJ&hl=zh-CN

[个人主页]：https://yuntaodu.github.io/

招生信息

    ● 2026级硕士生(保研学生优先)

    ● 本科生助研3-4名

课题组与南京大学、北京通用人工智能研究院、之江实验室等多个国际一流科研团队始终保持着密切合作，为组内学生提供良好的国内外交流机会。诚挚邀请对机器学习、大语言智能体、多模态大模型等研究领域感兴趣的本科生加入课题组，有意请发邮件联系yuntaodu@sdu.edu.cn，并附个人简历，非常感谢！

代表性论文：

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

Yuntao Du, Kailin Jiang, Zhi Gao, Chenrui Shi, Zilong Zheng, Siyuan Qi, Qing Li

The Thirteenth International Conference on Learning Representations (ICLR) 2025 [PDF]

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

MingCai Chen, Yuntao Du, Wenyu Jiang, Baoming Zhang, Shuai Feng, Yi Xin, Chongjun Wang

The 39th Annual AAAI Conference on Artificial Intelligence (AAAI) 2025 [PDF]

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

Yi Xin*, Siqi Luo*, Xuyang Liu*, Yuntao Du*, Haodi Zhou, Xinyu Cheng, et al.

The Annual Conference on Neural Information Processing Systems (NeurIPS) 2024 [PDF][WebPage]

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

Yue Fan, Xiaojian Ma, Rujie Wu, Yuntao Du, Jiaqi Li, Zhi Gao, Qing Li

The European Conference on Computer Vision (ECCV) 2024 [PDF][中文报道]

[5] Multi-source Fully Test-Time Adaptation.

Yuntao Du, Siqi Luo, Yi Xin, MingCai Chen, Shuai Feng, Mujie Zhang, Chongjun Wang

Neural Network [PDF]

The Twelfth International Conference on Learning Representations (PML4LRS workshop @ ICLR ) 2024 [PDF]

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

Zhi Gao, Yuntao Du, Xintong Zhang, Xiaojian Ma, Wenjuan Han, Song-Chun Zhu, Qing Li

The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024 [PDF]

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

Yuntao Du, Haiyang Yang, Mingcai Chen, Juan Jiang, Hongtao Luo, and Chongjun Wang.

Machine Learning (MLJ) 2023 [PDF]

[8] DSCR: Dual View based Symmetric Consistency Regularization for Semi-Supervised Domain Adaptation

Yuntao Du, Juan Jiang, Hongtao Luo, Haiyang Yang, Mingcai Chen, and Chongjun Wang.

Transactions on Machine Learning Research (TMLR) 2023 [PDF]

[9] Two Wrongs Don’t Make a Right: Combating Confirmation Bias in Learning with Label Noise

Mingcai Chen, Hao Cheng, Yuntao Du , Ming Xu, Wenyu Jiang, Chongjun Wang

AAAI conference on aitificial intelligence (AAAI) 2023 [PDF]

[10] InCo: Intermediate Prototype Contrast for Unsupervised Domain Adaptation

Yuntao Du*, Hongtao Luo*, Haiyang Yang, Juan Jiang, and Chongjun Wang

European Conference on Machine Learning (ECML-PKDD) 2022 [PDF]

[11] Semi-Supervised Learning with Multi-Head Co-Training

Mingcai Chen, Yuntao Du , Yi zhang, Shuwei Qian, and Chongjun Wang

AAAI conference on aitificial intelligence (AAAI) 2022 [PDF]

[12] AdaRNN: Adaptive Learning and Forecasting of Time Series

Yuntao Du , Jindong Wang, Wenjie Feng, Sinno Pan, Tao Qin, Renjun Xu and Chongjun Wang

International Conference on Information and Knowledge Management (CIKM) 2021 [PDF] [Code](引用超260)

[13] Adversarial Separation Network for Cross-Network Node Classification

Xiaowen Zhang *, Yuntao Du *, Rongbiao Xie and Chongjun Wang (*, euqal contribution)

International Conference on Information and Knowledge Management (CIKM) 2021 [PDF] [Code]

[14] Cross-domain error minimization for unsupervised domain adaptation

Yuntao Du, Yinghao Chen *, Fengli Cui *, Xiaowen Zhang, Chongjun Wang. (*, euqal contribution)

International Conference on Database Systems for Advanced Applications (DASFAA) 2021 [PDF] [Code]

[15] Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization

Yuntao Du, Zhiwen Tan, Qian Chen, Yi Zhang, Chongjun Wang.

European Conference on Artificial Intelligence (ECAI) 2020 [PDF] [Code]