Personal Profile

杜云涛，副研究员，硕士生导师，中国中文信息学会大模型与生成专业委员会委员。2018本科毕业于东北大学，2023年博士毕业于南京大学，博士期间曾在微软亚洲研究院(MSRA)进行实习，2023年-2025年曾就职于北京通用人工智能研究院(BIGAI, 属跨媒体通用人工智能全国重点实验室)，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。 主要研究方向包括多模态学习、迁移学习、多模态大模型、大模型智能体等，近年来发表论文30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8篇（ICML、ICLR、NeurIPS等），包含2篇Oral, 1篇Spotlight，Google Scholar总引用1000余次，单篇论文最高引用350余次，一篇论文入选paper digest评选的CIKM 2021十大最具影响力论文。主持山东省自然基金青年基金1项，重点实验室开放课题1项。担任NeurIPS、ICLR、CVPR、ICCV、ECCV、TNNLS、TCYB等国际会议和期刊审稿人，担任ICLR国际会议领域主席, Intelligence & Robotics期刊青年编委

[个人主页]：https://yuntaodu.github.io/

招生信息

    ● 2026级硕士生1名(保研学生优先)

    ● 本科生助研3-4名

课题组与南京大学、慕尼黑大学、南京邮电大学、北京通用人工智能研究院、上海人工智能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。欢迎对机器学习、大模型智能体、多模态大模型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！也欢迎相关领域进行合作！

在读学生

硕士生：

2025级  李慧宁（co-supervise with lizhen cui）

本科生

2023级：宋俊儒，董世杰，徐易辰，胡益萌，宋子文

2024级：李瑞菡，谭霁洋，刁梓训

News

• 2025.11 Three papers got accepted by AAAI 2025, including 2 orals

• 2025.09 One paper got accepted by NeurIPS 2025 as a spotlight

• 2025.09 I will serve as Area Chair in ICLR 2025

• 2025.08 One paper got accepted by EMNLP 2025

• 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 the 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 the Machine Learning Journal

代表性论文：

[20]  Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models.

Yifan Jia, Kailin Jiang, Yuyang Liang, Qihan Ren, Yi Xin, Rui Yang, Feng Fenze, MingCai Chen, Hengyang Lu, Haozhe Wang, Qian Li, Xiaoye Qu, Dongrui Liu, Yuntao Du*

AAAI 2025 (Oral, CCF A)

[19] GitTaskBench: A Benchmark for Code Agents Solving Real-World Tasks Through Code Repository Leveraging.

Ziyi Ni, Huacan Wang, Shuo Zhang, Shuo Lu, Ziyang He, WangYou, Zhenheng Tang, Yuntao Du*, Sen Hu, Bo Li, Chen Hu, Binxing Jiao, Daxin Jiang*, Pin Lyu*

AAAI 2025 (Oral, CCF A)

[18]  A Novel Fine-tuned CLIP-OOD Detection Method with Double Loss Constraint through Optimal Transport Semantic Alignment

Heng-yang Lu, Xin Guo, Shuai Feng, Wenyu Jiang, Yuntao Du, Chang.Xia, Chenyou Fan 

AAAI 2025 (CCF A)

[17]  RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task Solving. [PDF]

Huacan Wang, Ziyi Ni, Shuo Zhang, Shuo Lu, Sen Hu, Ziyang He, Chen Hu, Jiaye Lin, Yifu Guo, Yuntao Du*, Pin Ly*

NeurIPS 2025 (Spotlight, CCF A)

[16] Learning SQL Like a Human: Structure-Aware Curriculum Learning for Text-to-SQL Generation. [PDF]

Xiaohu Zhu, Qian Li, Lizhen Cui, Yuntao Du

EMNLP 2025 (CCF B)

[15] Test-Time Selective Adaptation for Uni-Modal Distribution Shift in Multi-Modal Data. [PDF]

MingCai Chen, Baoming Zhang, Zongbo Han,  Wenyu Jiang, Yanmeng Wang, Shuai Feng, Yuntao Du*, Bingkun BAO

ICML 2025 (CCF A, Equal Corresponding Author)

[14] MMKE-Bench: A Multimodal Editing Benchmark for Diverse Visual Knowledge. [PDF][WebPage][极市平台报道]

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

ICLR 2025 (清华A类)

[13] 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)

[12] 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)

[11] 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)

[10] 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)

[9] 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)

[7] 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

[6] 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)

[5] 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)

[4] 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)

[3] AdaRNN: Adaptive Learning and Forecasting of Time Series [PDF] [Code] 

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

CIKM 2021 (CCF B) (引用超350, Rank 4th in CIKM 2021)

[2] Adversarial Separation Network for Cross-Network Node Classification [PDF] [Code]

Xiaowen Zhang *, Yuntao Du *, Rongbiao Xie and Chongjun Wang

CIKM 2021 (CCF B, Equal first author)

[1] 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)