Moment-Guided Discriminative Manifold Correlation Learning on Ordinal Data. - Qing Tian 001; Wenqiang Zhang; Meng Cao 005; Liping Wang 007; Songcan Chen; Hujun Yin (ACM Trans. Intell. Syst. Technol., 2020)

Structure-Exploiting Discriminative Ordinal Multioutput Regression. - Qing Tian 001; Meng Cao 005; Songcan Chen; Hujun Yin (IEEE Trans. Neural Networks Learn. Syst., 2021)

Source-free unsupervised domain adaptation with maintaining model balance and diversity. - Qing Tian 001; Shun Peng; Heyang Sun; Jiazhong Zhou; Heng Zhang (Comput. Electr. Eng., 2022)

Unsupervised Domain Adaptation through high-order tensor matching with discriminative manifold learning. - Qing Tian 001; Heng Xu; Heyang Sun; Hong Yang; Yanan Zhu (Comput. Electr. Eng., 2022)

Unsupervised Domain Adaptation via bidirectional generation and middle domains alignment. - Qing Tian 001; Yanan Zhu; Heyang Sun; Hong Yang; Heng Xu (Comput. Electr. Eng., 2022)

Unsupervised Domain Adaptation Through Dynamically Aligning Both the Feature and Label Spaces. - Qing Tian 001; Yanan Zhu; Heyang Sun; Songcan Chen; Hujun Yin (IEEE Trans. Circuits Syst. Video Technol., 2022)

A Convex Discriminant Semantic Correlation Analysis for Cross-View Recognition. - Qing Tian 001; Chuang Ma; Meng Cao 005; Songcan Chen; Hujun Yin (IEEE Trans. Cybern., 2022)

Heterogeneous Domain Adaptation With Structure and Classification Space Alignment. - Qing Tian 001; Heyang Sun; Chuang Ma; Meng Cao 005; Yi Chu; Songcan Chen (IEEE Trans. Cybern., 2022)

Reliable Sensing Data Fusion Through Robust Multiview Prototype Learning. - Qing Tian 001; Shiyu Xia; Meng Cao 005; Keyang Cheng (IEEE Trans. Ind. Informatics, 2022)

Unsupervised domain adaptation through adversarial enhancement and gradient discrepancy minimization. - Qing Tian 001; Hong Yang; Zhanghu Lu; Mengyu Liu (Comput. Electr. Eng., 2023)

Source-free Unsupervised Domain Adaptation with Trusted Pseudo Samples. - Qing Tian 001; Shun Peng; Tinghuai Ma (ACM Trans. Intell. Syst. Technol., 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 001 (IEEE Internet Things J., 2023)

Source-free unsupervised domain adaptation via bi-classifier confidence score weighting. - Qing Tian 001; Mengna Zhao (Comput. Electr. Eng., 2023)

Feature mixing and self-training for source-free active domain adaptation. - Qing Tian 001; Heng Zhang (Comput. Electr. Eng., 2023)

Multi-class center dynamic contrastive learning for unsupervised domain adaptation person re-identification. - Qing Tian 001; Xiaoxin Du (Comput. Electr. Eng., 2024)

Unsupervised multi-source domain adaptation for person re-identification via feature fusion and pseudo-label refinement. - Qing Tian 001; Yao Cheng; Sizhen He; Jixin Sun (Comput. Electr. Eng., 2024)

Unsupervised Multitarget Domain Adaptation With Dictionary-Bridged Knowledge Exploitation. - Qing Tian 001; Chuang Ma; Meng Cao 005; Jun Wan 001; Zhen Lei 001; Songcan Chen (IEEE Trans. Neural Networks Learn. Syst., 2024)

Dynamic bias alignment and discrimination enhancement for unsupervised domain adaptation. - Qing Tian 001; Hong Yang; Yao Cheng (Neural Comput. Appl., 2024)

DCL: Dipolar Confidence Learning for Source-Free Unsupervised Domain Adaptation. - Qing Tian 001; Heyang Sun; Shun Peng; Yuhui Zheng; Jun Wan 001; Zhen Lei 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

A plug-and-play noise-label correction framework for unsupervised domain adaptation person re-identification. - Qing Tian 001; Xiaoxin Du (Vis. Comput., 2024)

Rethinking confidence scores for source-free unsupervised domain adaptation. - Qing Tian 001; Canyu Sun (Neural Comput. Appl., 2024)

Enhancing Open-Set Domain Adaptation through Optimal Transport and Adversarial Learning. - Qing Tian 001; Yi Zhao; Keyang Cheng; Tinghuai Ma (Neural Networks, 2025)

GCCNet: A Novel Network Leveraging Gated Cross-Correlation for Multi-View Classification. - Yuanpeng Zeng; Ru Zhang; Hao Zhang 079; Shaojie Qiao; Faliang Huang; Qing Tian 001; Yuzhong Peng (IEEE Trans. Multim., 2025)