Liu Yang

According to our database, Liu Yang authored at least 42 papers between 2014 and 2025.

Collaborative distances:

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

2025

Multi-granularity knowledge embedding for multi-label herbal medicine recognition.

Qi Shen, Canguang Ruan, Liu Yang

Neurocomputing, 2025

2024

Uncertainty-Aware Aggregation for Federated Open Set Domain Adaptation.

Zixuan Qin, Liu Yang, Fei Gao, Qinghua Hu, Chenyang Shen

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

Graph-aware tensor factorization convolutional network for knowledge graph completion.

Yuzhu Jin, Liu Yang

Int. J. Mach. Learn. Cybern., May, 2024

Enhancing Multi-Source Open-Set Domain Adaptation Through Nearest Neighbor Classification With Self-Supervised Vision Transformer.

Jing Li, Liu Yang, Qinghua Hu

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

Layer-Specific Knowledge Distillation for Class Incremental Semantic Segmentation.

Qilong Wang, Yiwen Wu, Liu Yang, Wangmeng Zuo, Qinghua Hu

IEEE Trans. Image Process., 2024

Soft independence guided filter pruning.

Liu Yang, Shiqiao Gu, Chenyang Shen, Xile Zhao, Qinghua Hu

Pattern Recognit., 2024

Unnecessary Budget Reduction in Federated Active Learning.

Enzhi Zhang, Liu Yang

Proceedings of the 36th IEEE International Conference on Tools with Artificial Intelligence, 2024

Enhancing Consistent Federated Learning Objectives Through Uniform Feature Distributions.

Siqi Deng, Liu Yang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023

Skeleton Neural Networks via Low-Rank Guided Filter Pruning.

Liu Yang, Shiqiao Gu, Chenyang Shen, Xile Zhao, Qinghua Hu

IEEE Trans. Circuits Syst. Video Technol., December, 2023

FS-Net: LiDAR-Camera Fusion With Matched Scale for 3D Object Detection in Autonomous Driving.

Lei Zhang, Xu Li, Kaichen Tang, Yunzhe Jiang, Liu Yang, Yonggang Zhang, Xianyi Chen

IEEE Trans. Intell. Transp. Syst., November, 2023

WDAN: A Weighted Discriminative Adversarial Network With Dual Classifiers for Fine-Grained Open-Set Domain Adaptation.

Jing Li, Liu Yang, Qilong Wang, Qinghua Hu

IEEE Trans. Circuits Syst. Video Technol., September, 2023

Multi-Source Collaborative Contrastive Learning for Decentralized Domain Adaptation.

Yikang Wei, Liu Yang, Yahong Han, Qinghua Hu

IEEE Trans. Circuits Syst. Video Technol., May, 2023

RCN:Rules-Constrained Network for Autonomous Driving Scene Recognition.

Mingrui Che, Liu Yang, Yuxin Zhang

Proceedings of the International Joint Conference on Neural Networks, 2023

Coarse Helps Fine: A Multi-Granularity Discriminative Adversarial Network for Fine-Grained Open-Set Domain Adaptation.

Jing Li, Liu Yang, Qilong Wang, Qinghua Hu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Reliable and Interpretable Personalized Federated Learning.

Zixuan Qin, Liu Yang, Qilong Wang, Yahong Han, Qinghua Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

KRAN: Knowledge Refining Attention Network for Recommendation.

Zhenyu Zhang, Lei Zhang, Dingqi Yang, Liu Yang

ACM Trans. Knowl. Discov. Data, 2022

Discriminative Transfer Learning for Driving Pattern Recognition in Unlabeled Scenes.

Liu Yang, Maoying Li, Chenyang Shen, Qinghua Hu, Jia Wen, Shujie Xu

IEEE Trans. Cybern., 2022

Imbalanced driving scene recognition with class focal loss and data augmentation.

Xianglei Zhu, Jianfeng Men, Liu Yang, Keqiu Li

Int. J. Mach. Learn. Cybern., 2022

Self-Supervised Vision Transformer Based Nearest Neighbor Classification for Multi-Source Open-Set Domain Adaptation.

Jing Li, Liu Yang, Qinghua Hu

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Driving Scene Supplementary Class Balancing Network for Edge Driving Scene Recognition.

Jianfeng Men, Liu Yang

Proceedings of the International Joint Conference on Neural Networks, 2022

Graph Convolution Network Based Representation for Multi-View Multi-Label Learning.

Canguang Ruan, Liu Yang, Hui Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

2021

WiCrowd: Counting the Directional Crowd With a Single Wireless Link.

Lei Zhang, Yueqiang Zhang, Beibei Wang, Xiaolong Zheng, Liu Yang

IEEE Internet Things J., 2021

Unsupervised Heterogeneous Transfer Learning for Partial Co-occurrence Data.

Shuyu Liu, Liu Yang, Qinghua Hu

Int. J. Artif. Intell. Tools, 2021

Multi-label Learning by Exploiting Imbalanced Label Correlations.

Shiqiao Gu, Liu Yang, Yaning Li, Hui Li

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Hierarchical Ensemble for Multi-view Clustering.

Fei Gao, Liu Yang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Adaptive Sample-Level Graph Combination for Partial Multiview Clustering.

Liu Yang, Chenyang Shen, Qinghua Hu, Liping Jing, Yingbo Li

IEEE Trans. Image Process., 2020

More Correlations Better Performance: Fully Associative Networks for Multi-label Image Classification.

Yaning Li, Liu Yang

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Fast and Robust Compression of Deep Convolutional Neural Networks.

Jia Wen, Liu Yang, Chenyang Shen

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

More Attentional Local Descriptors for Few-Shot Learning.

Hui Li, Liu Yang, Fei Gao

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019

Locally Weighted Fusion of Structural and Attribute Information in Graph Clustering.

Yafang Li, Caiyan Jia, Xiangnan Kong, Liu Yang, Jian Yu

IEEE Trans. Cybern., 2019

Transfer Learning for Driving Pattern Recognition.

Maoying Li, Liu Yang, Qinghua Hu, Chenyang Shen, Zhibin Du

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Heterogeneous Transfer Clustering for Partial Co-occurrence Data.

Xiangyang Ye, Liu Yang, Qinghua Hu, Chenyang Shen, Liping Jing, Zhibin Du

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Batch Mode Active Learning for Semantic Segmentation Based on Multi-Clue Sample Selection.

Yao Tan, Liu Yang, Qinghua Hu, Zhibin Du

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning.

Pengfei Zhu, Ren Qi, Qinghua Hu, Qilong Wang, Changqing Zhang, Liu Yang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Multi-Label Classification by Semi-Supervised Singular Value Decomposition.

Liping Jing, Chenyang Shen, Liu Yang, Jian Yu, Michael K. Ng

IEEE Trans. Image Process., 2017

Common latent space identification for heterogeneous co-transfer clustering.

Liu Yang, Liping Jing, Bo Liu, Jian Yu

Neurocomputing, 2017

2016

Learning Transferred Weights From Co-Occurrence Data for Heterogeneous Transfer Learning.

Liu Yang, Liping Jing, Jian Yu, Michael K. Ng

IEEE Trans. Neural Networks Learn. Syst., 2016

A discriminative and sparse topic model for image classification and annotation.

Liu Yang, Liping Jing, Michael K. Ng, Jian Yu

Image Vis. Comput., 2016

2015

Robust and Non-Negative Collective Matrix Factorization for Text-to-Image Transfer Learning.

Liu Yang, Liping Jing, Michael K. Ng

IEEE Trans. Image Process., 2015

Common Latent Space Identification for Heterogeneous Co-transfer Clustering.

Liu Yang, Liping Jing, Jian Yu

Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, 2015

Semi-supervised low-rank mapping learning for multi-label classification.

Liping Jing, Liu Yang, Jian Yu, Michael K. Ng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Heterogeneous Co-transfer Spectral Clustering.

Liu Yang, Liping Jing, Jian Yu

Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014