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ORCIDYuntao Du 0001
Person information
- affiliation: BIGAI, State Key Laboratory of General Artificial Intelligence, China
- affiliation: Shandong University, School of Software, Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), China
- affiliation (former): Nanjing University, State Key Laboratory for Novel Software Technology, China
Other persons with the same name
- Yuntao Du
- Yuntao Du 0002
![[0000-0002-1206-340X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1206-340X")
— Purdue University, USA (and 1 more) - Yuntao Du 0003 — Harbin Sport University, China
- Yuntao Du 0004 — Northeastern University, School of Computer Science and Engineering, Shenyang, China
- Yuntao Du 0006 — Harbin Institute of Technology, School of Electronics and Information Engineering, China
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2020 – today
- 2025
[j8]Mingcai Chen, Yuntao Du, Wei Tang, Baoming Zhang, Chongjun Wang:
LaplaceConfidence: A graph-based approach for learning with noisy labels. Intell. Data Anal. 29(1): 45-58 (2025)- [j7]Hengyang Lu, Jiaming Zhang, Yuntao Du, Chang Xia, Chongjun Wang, Wei Fang, Xiao-jun Wu:
Enhancing few-shot out-of-distribution intent detection by reducing attention misallocation. Neurocomputing 626: 129554 (2025) - [j6]Yuntao Du, Siqi Luo, Yi Xin, Mingcai Chen, Shuai Feng, Mujie Zhang, Chongjun Wang:
Multi-source fully test-time adaptation. Neural Networks 181: 106661 (2025) - [j5]Hengyang Lu, Xin Guo, Wenyu Jiang, Chenyou Fan, Yuntao Du, Zhenhao Shao, Wei Fang, Xiaojun Wu:
MuSIA: Exploiting multi-source information fusion with abnormal activations for out-of-distribution detection. Neural Networks 188: 107427 (2025) - [c22]Mingcai Chen, Yuntao Du, Wenyu Jiang, Baoming Zhang, Shuai Feng, Yi Xin, Chongjun Wang:
Robust Logit Adjustment for Learning with Long-Tailed Noisy Data. AAAI 2025: 15830-15838 - [c21]Yuntao Du, Kailin Jiang, Zhi Gao, Chenrui Shi, Zilong Zheng, Siyuan Qi, Qing Li:
MMKE-Bench: A Multimodal Editing Benchmark for Diverse Visual Knowledge. ICLR 2025 - [i24]Yuntao Du, Kailin Jiang, Zhi Gao, Chenrui Shi, Zilong Zheng, Siyuan Qi, Qing Li:
MMKE-Bench: A Multimodal Editing Benchmark for Diverse Visual Knowledge. CoRR abs/2502.19870 (2025) - [i23]Yifan Jia, Kailin Jiang, Yuyang Liang, Qihan Ren, Yi Xin, Rui Yang, Fenze Feng, Mingcai Chen, Hengyang Lu, Haozhe Wang, Xiaoye Qu, Dongrui Liu, Lizhen Cui, Yuntao Du:
Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models. CoRR abs/2505.19509 (2025) - [i22]Huacan Wang, Ziyi Ni, Shuo Zhang, Shuo Lu, Sen Hu, Ziyang He, Chen Hu, Jiaye Lin, Yifu Guo, Yuntao Du, Pin Lyu:
RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task Solving. CoRR abs/2505.21577 (2025) - [i21]Kailin Jiang, Yuntao Du, Yukai Ding, Yuchen Ren, Ning Jiang, Zhi Gao, Zilong Zheng, Lei Liu, Bin Li, Qing Li:
When Large Multimodal Models Confront Evolving Knowledge:Challenges and Pathways. CoRR abs/2505.24449 (2025) - [i20]Rui Lu, Jinhe Bi, Yunpu Ma, Feng Xiao, Yuntao Du, Yijun Tian:
MV-Debate: Multi-view Agent Debate with Dynamic Reflection Gating for Multimodal Harmful Content Detection in Social Media. CoRR abs/2508.05557 (2025) - [i19]Ziyi Ni, Huacan Wang, Shuo Zhang, Shuo Lu, Ziyang He, Wang You, Zhenheng Tang, Yuntao Du, Bill Sun, Hongzhang Liu, Sen Hu, Ronghao Chen, Bo Li, Xin Li, Chen Hu, Binxing Jiao, Daxin Jiang, Pin Lyu:
GitTaskBench: A Benchmark for Code Agents Solving Real-World Tasks Through Code Repository Leveraging. CoRR abs/2508.18993 (2025) - [i18]Shuai Feng, Yuxin Ge, Yuntao Du, Mingcai Chen, Chongjun Wang, Lei Feng:
Long-Tailed Out-of-Distribution Detection with Refined Separate Class Learning. CoRR abs/2509.17034 (2025) - [i17]Kailin Jiang, Hongbo Jiang, Ning Jiang, Zhi Gao, Jinhe Bi, Yuchen Ren, Bin Li, Yuntao Du, Lei Liu, Qing Li:
KORE: Enhancing Knowledge Injection for Large Multimodal Models via Knowledge-Oriented Augmentations and Constraints. CoRR abs/2510.19316 (2025) - [i16]Kailin Jiang, Ning Jiang, Yuntao Du, Yuchen Ren, Yuchen Li, Yifan Gao, Jinhe Bi, Yunpu Ma, Qingqing Liu, Xianhao Wang, Yifan Jia, Hongbo Jiang, Yaocong Hu, Bin Li, Lei Liu:
MINED: Probing and Updating with Multimodal Time-Sensitive Knowledge for Large Multimodal Models. CoRR abs/2510.19457 (2025) - [i15]Tianfan Peng, Yuntao Du, Pengzhou Ji, Shijie Dong, Kailin Jiang, Mingchuan Ma, Yijun Tian, Jinhe Bi, Qian Li, Wei Du, Feng Xiao, Lizhen Cui:
Can Visual Input Be Compressed? A Visual Token Compression Benchmark for Large Multimodal Models. CoRR abs/2511.02650 (2025) - 2024
- [j4]Yuntao Du, Haiyang Yang, Mingcai Chen, Hongtao Luo, Juan Jiang, Yi Xin, Chongjun Wang:
Generation, augmentation, and alignment: a pseudo-source domain based method for source-free domain adaptation. Mach. Learn. 113(6): 3611-3631 (2024) - [c20]Zhi Gao, Yuntao Du, Xintong Zhang, Xiaojian Ma, Wenjuan Han, Song-Chun Zhu, Qing Li:
CLOVA: A Closed-LOop Visual Assistant with Tool Usage and Update. CVPR 2024: 13258-13268 - [c19]Yue Fan, Xiaojian Ma, Rujie Wu, Yuntao Du, Jiaqi Li, Zhi Gao, Qing Li:
[inline-graphic not available: see fulltext]VideoAgent: A Memory-Augmented Multimodal Agent for Video Understanding. ECCV (22) 2024: 75-92 - [c18]Yi Xin, Siqi Luo, Xuyang Liu, Yuntao Du, Haodi Zhou, Xinyu Cheng, Christina E. Lee, Junlong Du, Haozhe Wang, Mingcai Chen, Ting Liu, Guimin Hu, Zhongwei Wan, Rongchao Zhang, Aoxue Li, Mingyang Yi, Xiaohong Liu:
V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark. NeurIPS 2024 - [i14]Yi Xin, Siqi Luo, Haodi Zhou, Junlong Du, Xiaohong Liu, Yue Fan, Qing Li, Yuntao Du:
Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey. CoRR abs/2402.02242 (2024) - [i13]Yue Fan, Xiaojian Ma, Rujie Wu, Yuntao Du, Jiaqi Li, Zhi Gao, Qing Li:
VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding. CoRR abs/2403.11481 (2024) - [i12]Siqi Luo, Yi Xin, Yuntao Du, Zhongwei Wan, Tao Tan, Guangtao Zhai, Xiaohong Liu:
Enhancing Test Time Adaptation with Few-shot Guidance. CoRR abs/2409.01341 (2024) - 2023
- [j3]Yuntao Du, Juan Jiang, Hongtao Luo, Haiyang Yang, Mingcai Chen, Chongjun Wang:
Bidirectional View based Consistency Regularization for Semi-Supervised Domain Adaptation. Trans. Mach. Learn. Res. 2023 (2023) - [c17]Mingcai Chen, Hao Cheng, Yuntao Du, Ming Xu, Wenyu Jiang, Chongjun Wang:
Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise. AAAI 2023: 14765-14773 - [c16]Yi Xin, Siqi Luo, Pengsheng Jin, Yuntao Du, Chongjun Wang:
Self-Training with Label-Feature-Consistency for Domain Adaptation. DASFAA (4) 2023: 84-99 - [c15]Shuai Feng, Wenyu Jiang, Mingcai Chen, Yuntao Du, Hao Cheng, Yuxin Ge, Chongjun Wang:
CESED: Exploiting Hyperspherical Predefined Evenly-Distributed Class Centroids for OOD Detection. SDM 2023: 262-270 - [i11]Mingcai Chen, Yuntao Du, Wei Tang, Baoming Zhang, Hao Cheng, Shuwei Qian, Chongjun Wang:
LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels. CoRR abs/2307.16614 (2023) - [i10]Zhi Gao, Yuntao Du, Xintong Zhang, Xiaojian Ma, Wenjuan Han, Song-Chun Zhu, Qing Li:
CLOVA: A Closed-Loop Visual Assistant with Tool Usage and Update. CoRR abs/2312.10908 (2023) - 2022
- [j2]Yuntao Du, Ruiting Zhang, Xiaowen Zhang, Yirong Yao, Hengyang Lu, Chongjun Wang:
Learning transferable and discriminative features for unsupervised domain adaptation. Intell. Data Anal. 26(2): 407-425 (2022) - [c14]Mingcai Chen, Yuntao Du, Yi Zhang, Shuwei Qian, Chongjun Wang:
Semi-supervised Learning with Multi-Head Co-Training. AAAI 2022: 6278-6286 - [c13]Fengli Cui, Yinghao Chen, Yuntao Du, Yikang Cao, Chongjun Wang:
Joint Feature and Labeling Function Adaptation for Unsupervised Domain Adaptation. PAKDD (1) 2022: 432-446 - [c12]Yuntao Du, Hongtao Luo, Haiyang Yang, Juan Jiang, Chongjun Wang:
InCo: Intermediate Prototype Contrast for Unsupervised Domain Adaptation. ECML/PKDD (1) 2022: 642-658 - [i9]Le Zhao, Mingcai Chen, Yuntao Du, Haiyang Yang, Chongjun Wang:
Spatial-Temporal Graph Convolutional Gated Recurrent Network for Traffic Forecasting. CoRR abs/2210.02737 (2022) - 2021
- [j1]Heng-Yang Lu, Yi Zhang, Yuntao Du:
SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings. Data Technol. Appl. 55(5): 643-660 (2021) - [c11]Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang:
AdaRNN: Adaptive Learning and Forecasting of Time Series. CIKM 2021: 402-411 - [c10]Xiaowen Zhang, Yuntao Du, Rongbiao Xie, Chongjun Wang:
Adversarial Separation Network for Cross-Network Node Classification. CIKM 2021: 2618-2626 - [c9]Hualei Yu, Chong Luo, Yuntao Du, Hao Cheng, Meng Cao, Chongjun Wang:
DMSPool: Dual Multi-Scale Pooling for Graph Representation Learning. DASFAA (1) 2021: 375-384 - [c8]Yuntao Du, Yikang Cao, Yumeng Zhou, Yinghao Chen, Ruiting Zhang, Chongjun Wang:
Self Separation and Misseparation Impact Minimization for Open-Set Domain Adaptation. DASFAA (2) 2021: 400-409 - [c7]Yuntao Du, Yinghao Chen, Fengli Cui, Xiaowen Zhang, Chongjun Wang:
Cross-Domain Error Minimization for Unsupervised Domain Adaptation. DASFAA (2) 2021: 429-448 - [c6]Yuntao Du, Zhiwen Tan, Xiaowen Zhang, Yirong Yao, Hualei Yu, Chongjun Wang:
Unsupervised Domain Adaptation with Unified Joint Distribution Alignment. DASFAA (2) 2021: 449-464 - [c5]Cheng Qiu, Yirong Yao, Yuntao Du:
Nested Dense Attention Network for Single Image Super-Resolution. ICMR 2021: 250-258 - [i8]Yuntao Du, Yinghao Chen, Fengli Cui, Xiaowen Zhang, Chongjun Wang:
Cross-domain error minimization for unsupervised domain adaptation. CoRR abs/2106.15057 (2021) - [i7]Mingcai Chen, Yuntao Du, Yi Zhang, Shuwei Qian, Chongjun Wang:
Semi-Supervised Learning with Multi-Head Co-Training. CoRR abs/2107.04795 (2021) - [i6]Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang:
AdaRNN: Adaptive Learning and Forecasting of Time Series. CoRR abs/2108.04443 (2021) - [i5]Yuntao Du, Haiyang Yang, Mingcai Chen, Juan Jiang, Hongtao Luo, Chongjun Wang:
Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation. CoRR abs/2109.04015 (2021) - [i4]Mingcai Chen, Hao Cheng, Yuntao Du, Ming Xu, Wenyu Jiang, Chongjun Wang:
Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise. CoRR abs/2112.02960 (2021) - 2020
- [c4]Yuntao Du, Zhiwen Tan, Qian Chen, Yi Zhang, Chongjun Wang:
Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization. ECAI 2020: 1111-1118 - [c3]Sheng Bi, Peng Shi, Yuntao Du, Bin Jin, Lingshuang Yu:
Mining Knowledge within Categories in Global and Local Fashion for Multi-Label Text Classification. IJCNN 2020: 1-8 - [c2]Qian Chen, Yuntao Du, Zhiwen Tan, Yi Zhang, Chongjun Wang:
Unsupervised Domain Adaptation with Joint Domain-Adversarial Reconstruction Networks. ECML/PKDD (2) 2020: 640-656 - [i3]Yuntao Du, Zhiwen Tan, Qian Chen, Xiaowen Zhang, Yirong Yao, Chongjun Wang:
Dual Adversarial Domain Adaptation. CoRR abs/2001.00153 (2020) - [i2]Yuntao Du, Ruiting Zhang, Yikang Cao, Xiaowen Zhang, Zhiwen Tan, Chongjun Wang:
Unsupervised domain adaptation with exploring more statistics and discriminative information. CoRR abs/2003.11723 (2020)
2010 – 2019
- 2019
- [i1]Yuntao Du, Zhiwen Tan, Qian Chen, Yi Zhang, Chongjun Wang:
Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization. CoRR abs/1912.13226 (2019) - 2018
- [c1]Qian Chen, Yuntao Du, Ming Xu, Chong-Jun Wang:
HetEOTL: An Algorithm for Heterogeneous Online Transfer Learning. ICTAI 2018: 350-357
Coauthor Index
aka: Chongjun Wang
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