Yuntao Du

According to our database, Yuntao Du authored at least 31 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Multi-source fully test-time adaptation.

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

Neural Networks, 2025

2024

Generation, augmentation, and alignment: a pseudo-source domain based method for source-free domain adaptation.

Yuntao Du, Haiyang Yang, Mingcai Chen, Hongtao Luo, Juan Jiang, Yi Xin, Chongjun Wang

Mach. Learn., June, 2024

Enhancing Test Time Adaptation with Few-shot Guidance.

Siqi Luo, Yi Xin, Yuntao Du, Zhongwei Wan, Tao Tan, Guangtao Zhai, Xiaohong Liu

CoRR, 2024

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

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

CoRR, 2024

Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey.

Yi Xin, Siqi Luo, Haodi Zhou, Junlong Du, Xiaohong Liu, Yue Fan, Qing Li, Yuntao Du

CoRR, 2024

[inline-graphic not available: see fulltext]VideoAgent: A Memory-Augmented Multimodal Agent for Video Understanding.

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

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Bidirectional View based Consistency Regularization for Semi-Supervised Domain Adaptation.

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

Trans. Mach. Learn. Res., 2023

LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels.

Mingcai Chen, Yuntao Du, Wei Tang, Baoming Zhang, Hao Cheng, Shuwei Qian, Chongjun Wang

CoRR, 2023

CESED: Exploiting Hyperspherical Predefined Evenly-Distributed Class Centroids for OOD Detection.

Shuai Feng, Wenyu Jiang, Mingcai Chen, Yuntao Du, Hao Cheng, Yuxin Ge, Chongjun Wang

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Self-Training with Label-Feature-Consistency for Domain Adaptation.

Yi Xin, Siqi Luo, Pengsheng Jin, Yuntao Du, Chongjun Wang

Proceedings of the Database Systems for Advanced Applications, 2023

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning transferable and discriminative features for unsupervised domain adaptation.

Yuntao Du, Ruiting Zhang, Xiaowen Zhang, Yirong Yao, Hengyang Lu, Chongjun Wang

Intell. Data Anal., 2022

Spatial-Temporal Graph Convolutional Gated Recurrent Network for Traffic Forecasting.

Le Zhao, Mingcai Chen, Yuntao Du, Haiyang Yang, Chongjun Wang

CoRR, 2022

InCo: Intermediate Prototype Contrast for Unsupervised Domain Adaptation.

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

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Joint Feature and Labeling Function Adaptation for Unsupervised Domain Adaptation.

Fengli Cui, Yinghao Chen, Yuntao Du, Yikang Cao, Chongjun Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Semi-supervised Learning with Multi-Head Co-Training.

Mingcai Chen, Yuntao Du, Yi Zhang, Shuwei Qian, Chongjun Wang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings.

Heng-Yang Lu, Yi Zhang, Yuntao Du

Data Technol. Appl., 2021

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, Chongjun Wang

CoRR, 2021

Nested Dense Attention Network for Single Image Super-Resolution.

Cheng Qiu, Yirong Yao, Yuntao Du

Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

DMSPool: Dual Multi-Scale Pooling for Graph Representation Learning.

Hualei Yu, Chong Luo, Yuntao Du, Hao Cheng, Meng Cao, Chongjun Wang

Proceedings of the Database Systems for Advanced Applications, 2021

Unsupervised Domain Adaptation with Unified Joint Distribution Alignment.

Yuntao Du, Zhiwen Tan, Xiaowen Zhang, Yirong Yao, Hualei Yu, Chongjun Wang

Proceedings of the Database Systems for Advanced Applications, 2021

Self Separation and Misseparation Impact Minimization for Open-Set Domain Adaptation.

Yuntao Du, Yikang Cao, Yumeng Zhou, Yinghao Chen, Ruiting Zhang, Chongjun Wang

Proceedings of the Database Systems for Advanced Applications, 2021

Cross-Domain Error Minimization for Unsupervised Domain Adaptation.

Yuntao Du, Yinghao Chen, Fengli Cui, Xiaowen Zhang, Chongjun Wang

Proceedings of the Database Systems for Advanced Applications, 2021

Adversarial Separation Network for Cross-Network Node Classification.

Xiaowen Zhang, Yuntao Du, Rongbiao Xie, Chongjun Wang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

AdaRNN: Adaptive Learning and Forecasting of Time Series.

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

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Unsupervised domain adaptation with exploring more statistics and discriminative information.

Yuntao Du, Ruiting Zhang, Yikang Cao, Xiaowen Zhang, Zhiwen Tan, Chongjun Wang

CoRR, 2020

Dual Adversarial Domain Adaptation.

Yuntao Du, Zhiwen Tan, Qian Chen, Xiaowen Zhang, Yirong Yao, Chongjun Wang

CoRR, 2020

Unsupervised Domain Adaptation with Joint Domain-Adversarial Reconstruction Networks.

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

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Mining Knowledge within Categories in Global and Local Fashion for Multi-Label Text Classification.

Sheng Bi, Peng Shi, Yuntao Du, Bin Jin, Lingshuang Yu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization.

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

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2018

HetEOTL: An Algorithm for Heterogeneous Online Transfer Learning.

Qian Chen, Yuntao Du, Ming Xu, Chong-Jun Wang

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018