Liu Yang - RankMe

44 papers A* 4A 4B 5Journal 23Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Heterogeneous Federated Dynamic Graph HyperNetwork for Image Classification. IEEE Trans. Image Process. Liu Yang, Kegen Chen, Qilong Wang, Zhengyi Xu, Shiqiao Gu, Qinghua Hu
2026	A*	`conf`	Less Is More: Rethinking Parameter-Efficient Fine-Tuning from a Subtractive Perspective. AAAI Tianqi Jiang, Liu Yang, Xi-Le Zhao, Zixuan Qin, Qinghua Hu
2025	J	`jnl`	Multi-granularity knowledge embedding for multi-label herbal medicine recognition. Neurocomputing Qi Shen, Canguang Ruan, Liu Yang
2024	A	`conf`	Enhancing Consistent Federated Learning Objectives Through Uniform Feature Distributions. ICME Siqi Deng, Liu Yang
2024	J	`jnl`	Enhancing Multi-Source Open-Set Domain Adaptation Through Nearest Neighbor Classification With Self-Supervised Vision Transformer. IEEE Trans. Circuits Syst. Video Technol. Jing Li, Liu Yang, Qinghua Hu
2024	J	`jnl`	Graph-aware tensor factorization convolutional network for knowledge graph completion. Int. J. Mach. Learn. Cybern. Yuzhu Jin, Liu Yang
2024	J	`jnl`	Layer-Specific Knowledge Distillation for Class Incremental Semantic Segmentation. IEEE Trans. Image Process. Qilong Wang, Yiwen Wu, Liu Yang, Wangmeng Zuo, Qinghua Hu
2024	J	`jnl`	Soft independence guided filter pruning. Pattern Recognit. Liu Yang, Shiqiao Gu, Chenyang Shen, Xile Zhao, Qinghua Hu
2024	J	`jnl`	Uncertainty-Aware Aggregation for Federated Open Set Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. Zixuan Qin, Liu Yang, Fei Gao, Qinghua Hu, Chenyang Shen
2024	B	`conf`	Unnecessary Budget Reduction in Federated Active Learning. ICTAI Enzhi Zhang, Liu Yang
2023	A	`conf`	Coarse Helps Fine: A Multi-Granularity Discriminative Adversarial Network for Fine-Grained Open-Set Domain Adaptation. ICME Jing Li, Liu Yang, Qilong Wang, Qinghua Hu
2023	J	`jnl`	FS-Net: LiDAR-Camera Fusion With Matched Scale for 3D Object Detection in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. Lei Zhang, Xu Li, Kaichen Tang, Yunzhe Jiang, Liu Yang, Yonggang Zhang, Xianyi Chen
2023	J	`jnl`	Multi-Source Collaborative Contrastive Learning for Decentralized Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. Yikang Wei, Liu Yang, Yahong Han, Qinghua Hu
2023	B	`conf`	RCN:Rules-Constrained Network for Autonomous Driving Scene Recognition. IJCNN Mingrui Che, Liu Yang, Yuxin Zhang
2023	A*	`conf`	Reliable and Interpretable Personalized Federated Learning. CVPR Zixuan Qin, Liu Yang, Qilong Wang, Yahong Han, Qinghua Hu
2023	J	`jnl`	Skeleton Neural Networks via Low-Rank Guided Filter Pruning. IEEE Trans. Circuits Syst. Video Technol. Liu Yang, Shiqiao Gu, Chenyang Shen, Xile Zhao, Qinghua Hu
2023	J	`jnl`	WDAN: A Weighted Discriminative Adversarial Network With Dual Classifiers for Fine-Grained Open-Set Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. Jing Li, Liu Yang, Qilong Wang, Qinghua Hu
2022	J	`jnl`	Discriminative Transfer Learning for Driving Pattern Recognition in Unlabeled Scenes. IEEE Trans. Cybern. Liu Yang, Maoying Li, Chenyang Shen, Qinghua Hu, Jia Wen, Shujie Xu
2022	B	`conf`	Driving Scene Supplementary Class Balancing Network for Edge Driving Scene Recognition. IJCNN Jianfeng Men, Liu Yang
2022	A	`conf`	Graph Convolution Network Based Representation for Multi-View Multi-Label Learning. ICME Canguang Ruan, Liu Yang, Hui Li
2022	J	`jnl`	Imbalanced driving scene recognition with class focal loss and data augmentation. Int. J. Mach. Learn. Cybern. Xianglei Zhu, Jianfeng Men, Liu Yang, Keqiu Li
2022	J	`jnl`	KRAN: Knowledge Refining Attention Network for Recommendation. ACM Trans. Knowl. Discov. Data Zhenyu Zhang, Lei Zhang, Dingqi Yang, Liu Yang
2022	—	`conf`	Self-Supervised Vision Transformer Based Nearest Neighbor Classification for Multi-Source Open-Set Domain Adaptation. PRICAI (3) Jing Li, Liu Yang, Qinghua Hu
2021	—	`conf`	Hierarchical Ensemble for Multi-view Clustering. ICANN (3) Fei Gao, Liu Yang
2021	—	`conf`	Multi-label Learning by Exploiting Imbalanced Label Correlations. PRICAI (2) Shiqiao Gu, Liu Yang, Yaning Li, Hui Li
2021	J	`jnl`	Unsupervised Heterogeneous Transfer Learning for Partial Co-occurrence Data. Int. J. Artif. Intell. Tools Shuyu Liu, Liu Yang, Qinghua Hu
2021	J	`jnl`	WiCrowd: Counting the Directional Crowd With a Single Wireless Link. IEEE Internet Things J. Lei Zhang, Yueqiang Zhang, Beibei Wang, Xiaolong Zheng, Liu Yang
2020	J	`jnl`	Adaptive Sample-Level Graph Combination for Partial Multiview Clustering. IEEE Trans. Image Process. Liu Yang, Chenyang Shen, Qinghua Hu, Liping Jing, Yingbo Li
2020	—	`conf`	Fast and Robust Compression of Deep Convolutional Neural Networks. ICANN (2) Jia Wen, Liu Yang, Chenyang Shen
2020	—	`conf`	More Attentional Local Descriptors for Few-Shot Learning. ICANN (1) Hui Li, Liu Yang, Fei Gao
2020	B	`conf`	More Correlations Better Performance: Fully Associative Networks for Multi-label Image Classification. ICPR Yaning Li, Liu Yang
2019	A	`conf`	Batch Mode Active Learning for Semantic Segmentation Based on Multi-Clue Sample Selection. CIKM Yao Tan, Liu Yang, Qinghua Hu, Zhibin Du
2019	B	`conf`	Heterogeneous Transfer Clustering for Partial Co-occurrence Data. ICTAI Xiangyang Ye, Liu Yang, Qinghua Hu, Chenyang Shen, Liping Jing, Zhibin Du
2019	J	`jnl`	Locally Weighted Fusion of Structural and Attribute Information in Graph Clustering. IEEE Trans. Cybern. Yafang Li, Caiyan Jia, Xiangnan Kong, Liu Yang, Jian Yu
2019	—	`conf`	Transfer Learning for Driving Pattern Recognition. PRICAI (2) Maoying Li, Liu Yang, Qinghua Hu, Chenyang Shen, Zhibin Du
2018	A*	`conf`	Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning. IJCAI Pengfei Zhu, Ren Qi, Qinghua Hu, Qilong Wang, Changqing Zhang, Liu Yang
2017	J	`jnl`	Common latent space identification for heterogeneous co-transfer clustering. Neurocomputing Liu Yang, Liping Jing, Bo Liu, Jian Yu
2017	J	`jnl`	Multi-Label Classification by Semi-Supervised Singular Value Decomposition. IEEE Trans. Image Process. Liping Jing, Chenyang Shen, Liu Yang, Jian Yu, Michael K. Ng
2016	J	`jnl`	A discriminative and sparse topic model for image classification and annotation. Image Vis. Comput. Liu Yang, Liping Jing, Michael K. Ng, Jian Yu
2016	J	`jnl`	Learning Transferred Weights From Co-Occurrence Data for Heterogeneous Transfer Learning. IEEE Trans. Neural Networks Learn. Syst. Liu Yang, Liping Jing, Jian Yu, Michael K. Ng
2015	—	`conf`	Common Latent Space Identification for Heterogeneous Co-transfer Clustering. IScIDE (2) Liu Yang, Liping Jing, Jian Yu
2015	J	`jnl`	Robust and Non-Negative Collective Matrix Factorization for Text-to-Image Transfer Learning. IEEE Trans. Image Process. Liu Yang, Liping Jing, Michael K. Ng
2015	A*	`conf`	Semi-supervised low-rank mapping learning for multi-label classification. CVPR Liping Jing, Liu Yang, Jian Yu, Michael K. Ng
2014	—	`conf`	Heterogeneous Co-transfer Spectral Clustering. RSKT Liu Yang, Liping Jing, Jian Yu