Heterogeneous Co-transfer Spectral Clustering. - Liu Yang 010; Liping Jing; Jian Yu 001 (RSKT, 2014)

Semi-supervised low-rank mapping learning for multi-label classification. - Liping Jing; Liu Yang 010; Jian Yu 001; Michael K. Ng 001 (CVPR, 2015)

Common Latent Space Identification for Heterogeneous Co-transfer Clustering. - Liu Yang 010; Liping Jing; Jian Yu 001 (IScIDE (2), 2015)

Robust and Non-Negative Collective Matrix Factorization for Text-to-Image Transfer Learning. - Liu Yang 010; Liping Jing; Michael K. Ng 001 (IEEE Trans. Image Process., 2015)

A discriminative and sparse topic model for image classification and annotation. - Liu Yang 010; Liping Jing; Michael K. Ng 001; Jian Yu 001 (Image Vis. Comput., 2016)

Learning Transferred Weights From Co-Occurrence Data for Heterogeneous Transfer Learning. - Liu Yang 010; Liping Jing; Jian Yu 001; Michael K. Ng 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Common latent space identification for heterogeneous co-transfer clustering. - Liu Yang 010; Liping Jing; Bo Liu 050; Jian Yu 001 (Neurocomputing, 2017)

Multi-Label Classification by Semi-Supervised Singular Value Decomposition. - Liping Jing; Chenyang Shen; Liu Yang 010; Jian Yu 001; Michael K. Ng 001 (IEEE Trans. Image Process., 2017)

Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning. - Pengfei Zhu 001; Ren Qi; Qinghua Hu; Qilong Wang 001; Changqing Zhang; Liu Yang 010 (IJCAI, 2018)

Batch Mode Active Learning for Semantic Segmentation Based on Multi-Clue Sample Selection. - Yao Tan; Liu Yang 010; Qinghua Hu; Zhibin Du (CIKM, 2019)

Heterogeneous Transfer Clustering for Partial Co-occurrence Data. - Xiangyang Ye; Liu Yang 010; Qinghua Hu; Chenyang Shen; Liping Jing; Zhibin Du (ICTAI, 2019)

Transfer Learning for Driving Pattern Recognition. - Maoying Li; Liu Yang 010; Qinghua Hu; Chenyang Shen; Zhibin Du (PRICAI (2), 2019)

Locally Weighted Fusion of Structural and Attribute Information in Graph Clustering. - Yafang Li; Caiyan Jia; Xiangnan Kong; Liu Yang 010; Jian Yu 001 (IEEE Trans. Cybern., 2019)

More Attentional Local Descriptors for Few-Shot Learning. - Hui Li 069; Liu Yang 010; Fei Gao (ICANN (1), 2020)

Fast and Robust Compression of Deep Convolutional Neural Networks. - Jia Wen; Liu Yang 010; Chenyang Shen (ICANN (2), 2020)

More Correlations Better Performance: Fully Associative Networks for Multi-label Image Classification. - Yaning Li; Liu Yang 010 (ICPR, 2020)

Adaptive Sample-Level Graph Combination for Partial Multiview Clustering. - Liu Yang 010; Chenyang Shen; Qinghua Hu; Liping Jing; Yingbo Li (IEEE Trans. Image Process., 2020)

Hierarchical Ensemble for Multi-view Clustering. - Fei Gao; Liu Yang 010 (ICANN (3), 2021)

Multi-label Learning by Exploiting Imbalanced Label Correlations. - Shiqiao Gu; Liu Yang 010; Yaning Li; Hui Li 069 (PRICAI (2), 2021)

Unsupervised Heterogeneous Transfer Learning for Partial Co-occurrence Data. - Shuyu Liu; Liu Yang 010; Qinghua Hu (Int. J. Artif. Intell. Tools, 2021)

WiCrowd: Counting the Directional Crowd With a Single Wireless Link. - Lei Zhang 024; Yueqiang Zhang; Beibei Wang 001; Xiaolong Zheng 002; Liu Yang 010 (IEEE Internet Things J., 2021)

Graph Convolution Network Based Representation for Multi-View Multi-Label Learning. - Canguang Ruan; Liu Yang 010; Hui Li (ICME, 2022)

Driving Scene Supplementary Class Balancing Network for Edge Driving Scene Recognition. - Jianfeng Men; Liu Yang 010 (IJCNN, 2022)

Self-Supervised Vision Transformer Based Nearest Neighbor Classification for Multi-Source Open-Set Domain Adaptation. - Jing Li 132; Liu Yang 010; Qinghua Hu (PRICAI (3), 2022)

Imbalanced driving scene recognition with class focal loss and data augmentation. - Xianglei Zhu; Jianfeng Men; Liu Yang 010; Keqiu Li (Int. J. Mach. Learn. Cybern., 2022)

Discriminative Transfer Learning for Driving Pattern Recognition in Unlabeled Scenes. - Liu Yang 010; Maoying Li; Chenyang Shen; Qinghua Hu; Jia Wen; Shujie Xu (IEEE Trans. Cybern., 2022)

KRAN: Knowledge Refining Attention Network for Recommendation. - Zhenyu Zhang; Lei Zhang 024; Dingqi Yang; Liu Yang 010 (ACM Trans. Knowl. Discov. Data, 2022)

Reliable and Interpretable Personalized Federated Learning. - Zixuan Qin; Liu Yang 010; Qilong Wang 001; Yahong Han; Qinghua Hu (CVPR, 2023)

Coarse Helps Fine: A Multi-Granularity Discriminative Adversarial Network for Fine-Grained Open-Set Domain Adaptation. - Jing Li 132; Liu Yang 010; Qilong Wang 001; Qinghua Hu (ICME, 2023)

RCN:Rules-Constrained Network for Autonomous Driving Scene Recognition. - Mingrui Che; Liu Yang 010; Yuxin Zhang (IJCNN, 2023)

Multi-Source Collaborative Contrastive Learning for Decentralized Domain Adaptation. - Yikang Wei; Liu Yang 010; Yahong Han; Qinghua Hu (IEEE Trans. Circuits Syst. Video Technol., 2023)

WDAN: A Weighted Discriminative Adversarial Network With Dual Classifiers for Fine-Grained Open-Set Domain Adaptation. - Jing Li 132; Liu Yang 010; Qilong Wang 001; Qinghua Hu (IEEE Trans. Circuits Syst. Video Technol., 2023)

FS-Net: LiDAR-Camera Fusion With Matched Scale for 3D Object Detection in Autonomous Driving. - Lei Zhang 024; Xu Li; Kaichen Tang; Yunzhe Jiang; Liu Yang 010; Yonggang Zhang 002; Xianyi Chen (IEEE Trans. Intell. Transp. Syst., 2023)

Skeleton Neural Networks via Low-Rank Guided Filter Pruning. - Liu Yang 010; Shiqiao Gu; Chenyang Shen; Xile Zhao; Qinghua Hu (IEEE Trans. Circuits Syst. Video Technol., 2023)

Enhancing Consistent Federated Learning Objectives Through Uniform Feature Distributions. - Siqi Deng; Liu Yang 010 (ICME, 2024)

Unnecessary Budget Reduction in Federated Active Learning. - Enzhi Zhang; Liu Yang 010 (ICTAI, 2024)

Soft independence guided filter pruning. - Liu Yang 010; Shiqiao Gu; Chenyang Shen; Xile Zhao; Qinghua Hu (Pattern Recognit., 2024)

Layer-Specific Knowledge Distillation for Class Incremental Semantic Segmentation. - Qilong Wang 001; Yiwen Wu; Liu Yang 010; Wangmeng Zuo; Qinghua Hu (IEEE Trans. Image Process., 2024)

Enhancing Multi-Source Open-Set Domain Adaptation Through Nearest Neighbor Classification With Self-Supervised Vision Transformer. - Jing Li 132; Liu Yang 010; Qinghua Hu (IEEE Trans. Circuits Syst. Video Technol., 2024)

Graph-aware tensor factorization convolutional network for knowledge graph completion. - Yuzhu Jin; Liu Yang 010 (Int. J. Mach. Learn. Cybern., 2024)

Uncertainty-Aware Aggregation for Federated Open Set Domain Adaptation. - Zixuan Qin; Liu Yang 010; Fei Gao; Qinghua Hu; Chenyang Shen (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multi-granularity knowledge embedding for multi-label herbal medicine recognition. - Qi Shen; Canguang Ruan; Liu Yang 010 (Neurocomputing, 2025)