Personal Profile

杜云涛，山东大学人工智能国际联合研究院、软件学院副研究员，硕士生导师。2018年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(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/通讯作者在CCF-A、CCF B、SCI 1区（ICML、ICLR、NeurIPS等）等顶级会议和期刊发表论文20余篇，包含2篇Oral, 1篇Spotlight。Google Scholar总引用1800余次，3篇论文引用超250余次，其中单篇论文最高引用500余次，一篇论文入选paper digest评选的CIKM 2021十大最具影响力论文。主持国家自然科学基金青年科学基金项目（C类）、山东省自然基金青年基金、山东省自然科学基金创新发展联合基金 、CAAI-联想蓝天科研基金、重点实验室开放课题等项目5项。指导本科生入选山东大学青年学生基础研究项目培育计划（青苗计划）资助。

杜云涛是CCF会员，中国中文信息学会大模型与生成专业委员会委员, CCF人工智能与模式识别多智能体学组专委委员。担任期刊《Intelligence & Robotics》青年编委，ICLR、NeurIPS等国际顶级会议领域主席，NeurIPS、ICLR、CVPR、ICCV、ECCV、TNNLS、TCYB等国际会议和期刊审稿人。获得ICML 2026 Sliver Reviewer奖，指导学生获得全球人工智能算法精英大赛神思杯比赛全国一等奖、二等奖、三等奖各1项，获评国赛优秀指导教师。获得软件学院青年教师教学竞赛二等奖。

招生信息

      ● 2026级硕士生（已满），2027级硕士生（1-2个名额）

      ● 本科生助研3-4名（默认要求专业排名前20%，编程能力突出者可放宽要求）

       课题组与南京大学、慕尼黑大学、南京邮电大学、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。欢迎对多模态学习、多模态大模型、大模型智能体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！

在读及毕业学生

   先前联培博士：

   2024级： 蒋凯林 (中科大，3 ICLR, 1 ICML, 1 AAAI,  1 ACL)

    硕士生：

    2025级： 李慧宁

    2026级 ：蒋力，季原君

    本科生

    2022级：

    贾一凡 (一作AAAI Oral,  Phd在香港中文大学（深圳）)

    杨帆   （一作IF期刊，    Master在华中科技大学）

    李傲   （一作ACM MM,   Phd在中国人民大学）

    张景辉 (共一ACM MM,   Phd在 MBZUAI）

    段宇翔

    2023级：宋俊儒(一作ECCV 2026)，董世杰，徐易辰，胡益萌，宋子文，郭娅芳( 一作WISA)

    2024级：李瑞菡，谭霁洋，刁梓训，王博鳌，王敬超，吕瑶

    2025级：汪依诺，张以恒，朱雅静，吕沂儒

News

• 2026.08 I will serve as Area Chair in ICLR 2026

• 2026.07  Two papers got accepted by ACM MM 2026.

• 2026.07  One paper got accepted by WISA 2026.

• 2026.06  One paper got accepted by ECCV 2026.

• 2026.05  Three papers got accepted by IJCV,  IEEE Transactions on Evolutionary Computation, and ESWC, respectively.

• 2026.05  Two papers got accepted by ICML 2026.

• 2026.04  Two papers got accepted by ACL 2026 as findings.

• 2026.03 One paper got accepted by IJCNN 2026.

• 2026.02 Two papers got accepted by Information Fusion.

• 2026.02 Two papers got accepted by CVPR 2026， one main and one findings.

• 2026.01 Two papers got accepted by ICLR 2026

• 2025.12 三支队伍获得全球人工智能算法精英大赛神思杯比赛全国一等奖、二等奖、三等奖各1项

• 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

部分发表论文：

[35]Can visual input Be Compressed? A visual input token compression benchmark for large multimodal models

Tianfan Peng, Shijie Dong, Pengzhou Ji, Kailin Jiang, Mingchuan Ma, Yijun Tian, Jinhe Bi, Qian Li, Wei Du, Feng Xiao, Lizhen Cui, Yuntao Du*

ACM MM 2026(CCF-A)

[34] M3MAD-Bench: Multi-Dimensional Evaluation of Multi-Agent Debate Across Domains and Modalities

Ao Li, Jinghui Zhang, Luyu Li, Yuxiang Duan, Lang Gao, MingCai Chen, Weijun Qin, Shaopeng Li, Fengxian Ji, Ning Liu, Lizhen Cui, Xiuying Chen, Yuntao Du*

ACM MM 2026(CCF-A)

[33] Delineating Knowledge Boundaries for Honest Large Vision-Language Models

Junru Song, Yimeng Hu, Yijing Chen, Huining Li, Qian Li, Lizhen Cui, Yuntao Du* 

ECCV 2026(CCF-B)

[32] Rough-to-Precise Ranking with Coverage Optimization for Open Link Prediction

Qian Li, Ning Liu, Yuntao Du, Daling Wang, Lizhen Cui

Expert Systems with Applications(SCI Q1)

[31] Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey and Benchmark

Yi Xin, Jianjiang Yang, Siqi Luo, Yuntao Du, Qi Qin, Kangrui Cen, Yangfan He, Zhiwei Zhang, Bin Fu, Xiaokang Yang, Guangtao Zhai, Ming-Hsuan Yang, Xiaohong Liu

IJCV 2026 (CCF-A)

[30] MMKU-Bench: A Multimodal Update Benchmark for Diverse Visual Knowledge

Baochen Fu*, Yuntao Du*, Cheng Chang, Baihao Jin, Wenzhi Deng, Muhao Xu, Hongmei Yan, Weiye Song, Yi Wan

ICML 2026 (CCF-A)

[29] KORE: Enhancing Knowledge Injection for Large Multimodal Models via Knowledge-Oriented Controls

Kailin Jiang, Hongbo Jiang, Ning Jiang, Zhi Gao, Jinhe Bi, Yuchen Ren, Bin Li, Yuntao Du, Lei Liu, Qing Li

ICML 2026 (CCF-A)

[28] MINED: Probing and Updating with Multimodal Time-Sensitive Knowledge for Large Multimodal Models

Kailin Jiang*, Ning Jiang*, Yuntao Du, Yuchen Ren, Yuchen Li, Yifan Gao, Jinhe Bi, Yunpu Ma, Bin Li, Lei Liu, Qing Li

ACL 2026 (CCF-A, Findings)

[27] GraphDx: A Cost-Aware Knowledge-Enhanced Multi-Agent Framework for Sequential Diagnosis

Shaoting Tan, Ning Liu, Yuntao Du, Shuyue Wei, Wu Shuai, Qian Li, Yanyu Xu, Wei Zhang, Lizhen Cui, Haitao Yuan

^{ACL 2026 (CCF-A, Findings)}

[26] Uncertainty and Diversity Based Selection for Active Learning in Vision-Language Models

Fan Yang, Kejun Ren, Jiahao Shen, Mingcai Chen , Yuntao Du^∗

^{Information fusion 2026 (SCI 1区)}

[25]Generalization of Knowledge Graph Grounded Models: A Multi-Perspective Survey

Yiming Wang, Qian Li, Yuntao Du, Lizhen Cui

Information fusion 2026 (SCI 1区)

[24] VKG-QA: Visual Knowledge Graph-based Question Answer for Large Multimodal Models.

Yuntao Du, Yiming Wang, Renshuo Yuan, Jincheng Yue, Yijing Chen, Yue Fan, Bo Zhang, Qian Li, Lizhen Cui

CVPR 2026 (CCF-A类)

[23] Long-Tailed Out-of-Distribution Detection with Refined Separate Class Learning

Shuai Feng, Yuxin Ge, Baoming Zhang, Yuntao Du, MingCai Chen, Chongjun Wang, Lei Feng

CVPR 2026 (CCF-A类， findings)

[22]  When Large Multimodal Models Confront Evolving Knowledge: Challenges and Explorations

Kailin Jiang*, Yuntao Du*, Yukai Ding, Yuchen Ren, Ning Jiang, Zhi Gao, Zilong Zheng, Lei Liu, Bin Li, Qing Li

ICLR 2026 (清华 A类)

[21]  Learning Efficient and Interpretable Multi-Agent Communication

Wei Du, Benyu Wu, Yuqing Sun, Wei Guo, Yuntao Du, Zhongmin Yan, Guoxian Yu, Lizhen Cui

ICLR 2026 (清华 A类)

[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 2026 (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 2026 (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500, 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)

主持项目

• 认知边界约束下多模态事实性幻觉缓解方法研究，国家自然科学基金青年科学基金项目（C类），2027.01- 2029.12
  

• 面向行业智能体的协同决策与自适应任务规划关键技术及平台研究，山东省自然基金联合基金培育项目，2026.06-2029.06

• 面向巡逻场景的多Agent推理系统构建，CAAI-联想蓝天基金，2026.01-2027.01

• 面向多模态大模型的高效推理方法研究，山东省自然基金青年基金，2025.10-2028.09

• 多模态大模型的高效推理算法研究，重点实验室开放课题，2025.07-2027.07

竞赛指导

• 2025年全球校园人工智能算法精英大赛，学生获全国一等奖、二等奖、三等奖各1项。

• 软件学院青年教师教学竞赛二等奖

• 2026年指导学生获批校级大创项目3项，推荐省级大创项目1项

• 2026年指导学生获得山东大学青苗计划1项

• 2026年中国国际大学生创新大赛，学生获校级铜奖

  
  

学术服务

• 《Intelligence & Robotics》期刊青年编委

•  ICLR Area Chair 2025-2026

• NeurIPS Area Chair 2026

• ICML Reviewer 2024-2026

• CVPR Reviewer 2024-2026

• AAAI Reviewer  2022-2026

• TNNLS Reviewer 2025-2026