杜云涛，副研究员，2014和2023年本科和博士分别毕业于东北大学和南京大学，博士期间曾在微软亚洲研究院进行实习。博士毕业后，曾就职于北京通用人工智能研究院(BIGAI)，担任研究员，联合培养博士生导师。于2025年2月加入山东大学 C-FAIR。 主要研究方向包括大语言模型、大模型智能体、多模态大模型、迁移学习等，近年来发表论文20余篇，其中以第一作者/通讯作者发表论文10余篇，包括CCF-A/清华A类/JCR 1区5篇（ICML、ICLR、NeurIPS等），Google Scholar总引用750余次，单篇论文最高引用300余次，一篇论文入选paper digest评选的CIKM 2021十大最具影响力论文。参与科技部重点研发计划1项、国家自然基金项目1项。担任ICLR、CVPR、ICCV、ECCV、AAAI、TNNLS、TCYB等国际会议和期刊审稿人。
[Google Scholar]: https://scholar.google.com/citations?user=1ogwTXkAAAAJ&hl=zh-CN
[个人主页]：https://yuntaodu.github.io/
招生信息
● 2025级硕士生1名
● 2026级硕士生1-2名(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。诚挚邀请对大语言模型、大模型智能体、多模态大模型、迁移学习等研究领域感兴趣的同学加入课题组，有意请发邮件联系yuntaodu@sdu.edu.cn，并附个人简历，非常感谢！
News
2025.05 Attend CCIG conference in Changsha
2025.05 One paper got accepted by ICML 2025
2025.03 One paper got accepted by Neural Networks
2025.02 I have joined Shandong University as an Associate Researcher in C-FAIR.
2025.01 One paper got accepted by ICLR 2025
2024.12 One paper got accepted by AAAI 2025
2024.11 One paper got accepted by Neurocomputing 2024
2024.09 One paper got accepted by NeurIPS 2024
2024.08 One paper got accepted by Neural Network
2024.07 One paper got accepted by ECCV 2024
2024.03 One paper got accepted by CVPR 2024
2023.10 One paper got accepted by Machine Learning Journal
代表性论文：
[1] Test-Time Selective Adaptation for Uni-Modal Distribution Shift in Multi-Modal Data. [PDF]
MingCai Chen, Baoming Zhang, Zongbo Han, Yuntao Du*, Wenyu Jiang, Yanmeng Wang, Shuai Feng, Bingkun BAO
ICML 2025 (CCF A, Equal Corresponding Author)
[2] MMKE-Bench: A Multimodal Editing Benchmark for Diverse Visual Knowledge. [PDF] [WebPage]
Yuntao Du, Kailin Jiang, Zhi Gao, Chenrui Shi, Zilong Zheng, Siyuan Qi, Qing Li
ICLR 2025 (清华A类)
[3] Robust Logit Adjustment for Learning with Long-Tailed Noisy Data. [PDF]
MingCai Chen, Yuntao Du, Wenyu Jiang, Baoming Zhang, Shuai Feng, Yi Xin, Chongjun Wang
AAAI 2025 (CCF A)
[4] V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark. [PDF] [WebPage]
Yi Xin*, Siqi Luo*, Xuyang Liu*, Yuntao Du*, Haodi Zhou, Xinyu Cheng, Christina Luoluo Lee, Junlong Du, Haozhe Wang, MingCai Chen, Ting Liu, Guimin Hu, Zhongwei Wan, Rongchao Zhang, Aoxue Li, Mingyang Yi, Xiaohong Liu
NeurIPS 2024 (CCF A, Equal first author)
[5] VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding. [PDF] [WebPage] [机器之心中文报道]
Yue Fan, Xiaojian Ma, Rujie Wu, Yuntao Du, Jiaqi Li, Zhi Gao, Qing Li
ECCV 2024 (CCF B)
[6] Multi-source Fully Test-Time Adaptation. [PDF]
Yuntao Du, Siqi Luo, Yi Xin, MingCai Chen, Shuai Feng, Mujie Zhang, Chongjun Wang
Neural Network 2024 (JCR Q1, CCF B)
[7] CLOVA: A Closed-LOop Visual Assistant with Tool Usage and Update. [PDF] [WebPage]
Zhi Gao, Yuntao Du, Xintong Zhang, Xiaojian Ma, Wenjuan Han, Song-Chun Zhu, Qing Li
CVPR 2024 (CCF A)
[8] Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation [PDF]
Yuntao Du, Haiyang Yang, Mingcai Chen, Juan Jiang, Hongtao Luo, and Chongjun Wang.
Machine Learning (MLJ) 2023 (JCR Q1, CCF B)
[9] DSCR: Dual View based Symmetric Consistency Regularization for Semi-Supervised Domain Adaptation [PDF]
Yuntao Du, Juan Jiang, Hongtao Luo, Haiyang Yang, Mingcai Chen, and Chongjun Wang.
Transactions on Machine Learning Research (TMLR) 2023
[10] Two Wrongs Don’t Make a Right: Combating Confirmation Bias in Learning with Label Noise [PDF]
Mingcai Chen, Hao Cheng, Yuntao Du , Ming Xu, Wenyu Jiang, Chongjun Wang
AAAI 2023 (CCF A)
[11] InCo: Intermediate Prototype Contrast for Unsupervised Domain Adaptation [PDF]
Yuntao Du*, Hongtao Luo*, Haiyang Yang, Juan Jiang, and Chongjun Wang
ECML-PKDD 2022 (CCF B)
[12] Semi-Supervised Learning with Multi-Head Co-Training [PDF] [Code]
Mingcai Chen, Yuntao Du , Yi zhang, Shuwei Qian, and Chongjun Wang
AAAI 2022 (CCF A)
[13] AdaRNN: Adaptive Learning and Forecasting of Time Series [PDF] [Code] (引用超290, Rank 4th in CIKM 2021)
Yuntao Du , Jindong Wang, Wenjie Feng, Sinno Pan, Tao Qin, Renjun Xu and Chongjun Wang
CIKM 2021 (CCF B)
[14] Adversarial Separation Network for Cross-Network Node Classification [PDF] [Code]
Xiaowen Zhang *, Yuntao Du *, Rongbiao Xie and Chongjun Wang
CIKM 2021 (CCF B, Euqal first author)
[15] Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization [PDF] [Code]
Yuntao Du, Zhiwen Tan, Qian Chen, Yi Zhang, Chongjun Wang.
ECAI 2020 (CCF B)
