Qing Tian

According to our database, Qing Tian authored at least 21 papers between 2020 and 2024.

Collaborative distances:

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

2024

Rethinking confidence scores for source-free unsupervised domain adaptation.

Qing Tian, Canyu Sun

Neural Comput. Appl., August, 2024

A plug-and-play noise-label correction framework for unsupervised domain adaptation person re-identification.

Qing Tian, Xiaoxin Du

Vis. Comput., June, 2024

DCL: Dipolar Confidence Learning for Source-Free Unsupervised Domain Adaptation.

Qing Tian, Heyang Sun, Shun Peng, Yuhui Zheng, Jun Wan, Zhen Lei

IEEE Trans. Circuits Syst. Video Technol., June, 2024

Dynamic bias alignment and discrimination enhancement for unsupervised domain adaptation.

Qing Tian, Hong Yang, Yao Cheng

Neural Comput. Appl., May, 2024

Unsupervised Multitarget Domain Adaptation With Dictionary-Bridged Knowledge Exploitation.

Qing Tian, Chuang Ma, Meng Cao, Jun Wan, Zhen Lei, Songcan Chen

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Unsupervised multi-source domain adaptation for person re-identification via feature fusion and pseudo-label refinement.

Qing Tian, Yao Cheng, Sizhen He, Jixin Sun

Comput. Electr. Eng., January, 2024

Multi-class center dynamic contrastive learning for unsupervised domain adaptation person re-identification.

Qing Tian, Xiaoxin Du

Comput. Electr. Eng., 2024

2023

Feature mixing and self-training for source-free active domain adaptation.

Qing Tian, Heng Zhang

Comput. Electr. Eng., November, 2023

Source-free unsupervised domain adaptation via bi-classifier confidence score weighting.

Qing Tian, Mengna Zhao

Comput. Electr. Eng., October, 2023

Universal Attack Against Automatic Modulation Classification DNNs Under Frequency and Data Constraints.

Chao Wang, Xianglin Wei, Jianhua Fan, Yongyang Hu, Long Yu, Qing Tian

IEEE Internet Things J., July, 2023

Source-free Unsupervised Domain Adaptation with Trusted Pseudo Samples.

Qing Tian, Shun Peng, Tinghuai Ma

ACM Trans. Intell. Syst. Technol., April, 2023

Unsupervised domain adaptation through adversarial enhancement and gradient discrepancy minimization.

Qing Tian, Hong Yang, Zhanghu Lu, Mengyu Liu

Comput. Electr. Eng., January, 2023

2022

Reliable Sensing Data Fusion Through Robust Multiview Prototype Learning.

Qing Tian, Shiyu Xia, Meng Cao, Keyang Cheng

IEEE Trans. Ind. Informatics, 2022

Heterogeneous Domain Adaptation With Structure and Classification Space Alignment.

Qing Tian, Heyang Sun, Chuang Ma, Meng Cao, Yi Chu, Songcan Chen

IEEE Trans. Cybern., 2022

A Convex Discriminant Semantic Correlation Analysis for Cross-View Recognition.

Qing Tian, Chuang Ma, Meng Cao, Songcan Chen, Hujun Yin

IEEE Trans. Cybern., 2022

Unsupervised Domain Adaptation Through Dynamically Aligning Both the Feature and Label Spaces.

Qing Tian, Yanan Zhu, Heyang Sun, Songcan Chen, Hujun Yin

IEEE Trans. Circuits Syst. Video Technol., 2022

Unsupervised Domain Adaptation via bidirectional generation and middle domains alignment.

Qing Tian, Yanan Zhu, Heyang Sun, Hong Yang, Heng Xu

Comput. Electr. Eng., 2022

Unsupervised Domain Adaptation through high-order tensor matching with discriminative manifold learning.

Qing Tian, Heng Xu, Heyang Sun, Hong Yang, Yanan Zhu

Comput. Electr. Eng., 2022

Source-free unsupervised domain adaptation with maintaining model balance and diversity.

Qing Tian, Shun Peng, Heyang Sun, Jiazhong Zhou, Heng Zhang

Comput. Electr. Eng., 2022

2021

Structure-Exploiting Discriminative Ordinal Multioutput Regression.

Qing Tian, Meng Cao, Songcan Chen, Hujun Yin

IEEE Trans. Neural Networks Learn. Syst., 2021

2020

Moment-Guided Discriminative Manifold Correlation Learning on Ordinal Data.

Qing Tian, Wenqiang Zhang, Meng Cao, Liping Wang, Songcan Chen, Hujun Yin

ACM Trans. Intell. Syst. Technol., 2020