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ORCIDLiu Yang 0010
Person information
- affiliation: Tianjin University, College of Intelligence and Computing, China
- affiliation (PhD 2016): Beijing Jiaotong University, School of Computer and Information Technology, China
Other persons with the same name
- Liu Yang — disambiguation page
- Liu Yang 0001 — Yale University, New Haven, CT, USA (and 3 more)
- Liu Yang 0002
![[0000-0001-9915-6432]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9915-6432")
— Guangzhou University, School of Computer Science and Education Software, China (and 1 more) - Liu Yang 0003 — Chongqing University of Posts and Telecommunications, School of Communication and Information Engineering, China
- Liu Yang 0004 — Army Engineering University of PLA, College of Communication Engineering, Nanjing, China
- Liu Yang 0005 — University of Massachusetts Amherst, College of Information and Computer Sciences, MA, USA
- Liu Yang 0006 — Beijing Jiaotong University, State Key Laboratory of Rail Traffic Control and Safety, China
- Liu Yang 0007 — Beijing Institute of Technology, School of Automation, China
- Liu Yang 0008 — Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Hong Kong
- Liu Yang 0009 — Northeastern University, School of Information Science and Engineering, Shenyang, China
- Liu Yang 0011 — Guangxi University of Finance and Economics, China
- Liu Yang 0012 — China University of Mining and Technology (Beijing), College of Geoscience and Surveying Engineering, China
- Liu Yang 0013 — Nankai University, Institute of Robotics and Automatic Information System, China (and 1 more)
- Liu Yang 0014 — Norwegian University of Science and Technology, Department of Mechanical and Industrial Engineering, Trondheim, Norway
- Liu Yang 0015 — Central South University, School of Computer Science and Engineering, Changsha, China
- Liu Yang 0016 — Beijing University of Posts and Telecommunications, School of Electronic Engineering, China
- Liu Yang 0017 — Ningbo University of Technology, Research Institute of Interdisciplinary Intelligent Science, China (and 1 more)
- Liu Yang 0018 — Stony Brook University, Department of Electrical and Computer Engineering, NY, USA (and 1 more)
- Liu Yang 0019 — Northeast Forestry University, College of Computer and Control Engineering, Harbin, China (and 1 more)
- Liu Yang 0020 — Huazhong University of Science and Technology, School of Optics and Electronics Information, Wuhan, China
- Liu Yang 0021 — Zhejiang University, College of Control Science and Engineering, Hangzhou, China
- Liu Yang 0022 — Harbin Engineering University, College of Intelligent Systems Science and Engineering, China
- Liu Yang 0023 — Purdue University, School of Civil Engineering, West Lafayette, IN, USA
- Liu Yang 0024 — Nanjing University of Posts and Telecommunications, School of Internet of Things, China
- Liu Yang 0025 — Shandong University, Qingdao, China
- Liu Yang 0026 — Mayo Clinic, Department of Transplantation, Jacksonville, FL, USA
- Liu Yang 0027 — University of California Los Angeles, Department of Mathematics, CA, USA (and 1 more)
- Liu Yang 0028 — University of International Business and Economics, Beijing, China
- Liu Yang 0029 — Southeast University, School of Architecture, Nanjing, China
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2020 – today
- 2025
[j22]Qi Shen, Canguang Ruan, Liu Yang:
Multi-granularity knowledge embedding for multi-label herbal medicine recognition. Neurocomputing 649: 130707 (2025)- 2024
- [j21]Yuzhu Jin, Liu Yang:
Graph-aware tensor factorization convolutional network for knowledge graph completion. Int. J. Mach. Learn. Cybern. 15(5): 1755-1766 (2024) - [j20]Liu Yang, Shiqiao Gu, Chenyang Shen, Xile Zhao, Qinghua Hu:
Soft independence guided filter pruning. Pattern Recognit. 153: 110488 (2024) - [j19]Jing Li, Liu Yang, Qinghua Hu:
Enhancing Multi-Source Open-Set Domain Adaptation Through Nearest Neighbor Classification With Self-Supervised Vision Transformer. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2648-2662 (2024) - [j18]Qilong Wang, Yiwen Wu, Liu Yang, Wangmeng Zuo, Qinghua Hu:
Layer-Specific Knowledge Distillation for Class Incremental Semantic Segmentation. IEEE Trans. Image Process. 33: 1977-1989 (2024) - [j17]Zixuan Qin, Liu Yang, Fei Gao, Qinghua Hu, Chenyang Shen:
Uncertainty-Aware Aggregation for Federated Open Set Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7548-7562 (2024) - [c20]Siqi Deng, Liu Yang:
Enhancing Consistent Federated Learning Objectives Through Uniform Feature Distributions. ICME 2024: 1-6 - [c19]Enzhi Zhang, Liu Yang:
Unnecessary Budget Reduction in Federated Active Learning. ICTAI 2024: 875-880 - 2023
- [j16]Yikang Wei, Liu Yang, Yahong Han, Qinghua Hu:
Multi-Source Collaborative Contrastive Learning for Decentralized Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2202-2216 (2023) - [j15]Jing Li, Liu Yang, Qilong Wang, Qinghua Hu:
WDAN: A Weighted Discriminative Adversarial Network With Dual Classifiers for Fine-Grained Open-Set Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 33(9): 5133-5147 (2023) - [j14]Liu Yang, Shiqiao Gu, Chenyang Shen, Xile Zhao, Qinghua Hu:
Skeleton Neural Networks via Low-Rank Guided Filter Pruning. IEEE Trans. Circuits Syst. Video Technol. 33(12): 7197-7211 (2023) - [j13]Lei Zhang, Xu Li, Kaichen Tang, Yunzhe Jiang, Liu Yang, Yonggang Zhang, Xianyi Chen:
FS-Net: LiDAR-Camera Fusion With Matched Scale for 3D Object Detection in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 24(11): 12154-12165 (2023) - [c18]Zixuan Qin, Liu Yang, Qilong Wang, Yahong Han, Qinghua Hu:
Reliable and Interpretable Personalized Federated Learning. CVPR 2023: 20422-20431 - [c17]Jing Li, Liu Yang, Qilong Wang, Qinghua Hu:
Coarse Helps Fine: A Multi-Granularity Discriminative Adversarial Network for Fine-Grained Open-Set Domain Adaptation. ICME 2023: 2675-2680 - [c16]Mingrui Che, Liu Yang, Yuxin Zhang:
RCN:Rules-Constrained Network for Autonomous Driving Scene Recognition. IJCNN 2023: 1-9 - 2022
- [j12]Xianglei Zhu, Jianfeng Men, Liu Yang, Keqiu Li:
Imbalanced driving scene recognition with class focal loss and data augmentation. Int. J. Mach. Learn. Cybern. 13(10): 2957-2975 (2022) - [j11]Liu Yang, Maoying Li, Chenyang Shen, Qinghua Hu, Jia Wen, Shujie Xu:
Discriminative Transfer Learning for Driving Pattern Recognition in Unlabeled Scenes. IEEE Trans. Cybern. 52(3): 1429-1442 (2022) - [j10]Zhenyu Zhang, Lei Zhang, Dingqi Yang, Liu Yang:
KRAN: Knowledge Refining Attention Network for Recommendation. ACM Trans. Knowl. Discov. Data 16(2): 39:1-39:20 (2022) - [c15]Canguang Ruan, Liu Yang, Hui Li:
Graph Convolution Network Based Representation for Multi-View Multi-Label Learning. ICME 2022: 1-6 - [c14]Jianfeng Men, Liu Yang:
Driving Scene Supplementary Class Balancing Network for Edge Driving Scene Recognition. IJCNN 2022: 1-8 - [c13]Jing Li, Liu Yang, Qinghua Hu:
Self-Supervised Vision Transformer Based Nearest Neighbor Classification for Multi-Source Open-Set Domain Adaptation. PRICAI (3) 2022: 542-554 - 2021
- [j9]Shuyu Liu, Liu Yang, Qinghua Hu:
Unsupervised Heterogeneous Transfer Learning for Partial Co-occurrence Data. Int. J. Artif. Intell. Tools 30(3): 2150012:1-2150012:24 (2021) - [j8]Lei Zhang, Yueqiang Zhang, Beibei Wang, Xiaolong Zheng, Liu Yang:
WiCrowd: Counting the Directional Crowd With a Single Wireless Link. IEEE Internet Things J. 8(10): 8644-8656 (2021) - [c12]Fei Gao, Liu Yang:
Hierarchical Ensemble for Multi-view Clustering. ICANN (3) 2021: 280-292 - [c11]Shiqiao Gu, Liu Yang, Yaning Li, Hui Li:
Multi-label Learning by Exploiting Imbalanced Label Correlations. PRICAI (2) 2021: 585-596 - 2020
- [j7]Liu Yang, Chenyang Shen, Qinghua Hu, Liping Jing, Yingbo Li:
Adaptive Sample-Level Graph Combination for Partial Multiview Clustering. IEEE Trans. Image Process. 29: 2780-2794 (2020) - [c10]Jia Wen, Liu Yang, Chenyang Shen:
Fast and Robust Compression of Deep Convolutional Neural Networks. ICANN (2) 2020: 52-63 - [c9]Hui Li, Liu Yang, Fei Gao:
More Attentional Local Descriptors for Few-Shot Learning. ICANN (1) 2020: 419-430 - [c8]Yaning Li, Liu Yang:
More Correlations Better Performance: Fully Associative Networks for Multi-label Image Classification. ICPR 2020: 9437-9444
2010 – 2019
- 2019
- [j6]Yafang Li, Caiyan Jia, Xiangnan Kong, Liu Yang, Jian Yu:
Locally Weighted Fusion of Structural and Attribute Information in Graph Clustering. IEEE Trans. Cybern. 49(1): 247-260 (2019) - [c7]Yao Tan, Liu Yang, Qinghua Hu, Zhibin Du:
Batch Mode Active Learning for Semantic Segmentation Based on Multi-Clue Sample Selection. CIKM 2019: 831-840 - [c6]Xiangyang Ye, Liu Yang, Qinghua Hu, Chenyang Shen, Liping Jing, Zhibin Du:
Heterogeneous Transfer Clustering for Partial Co-occurrence Data. ICTAI 2019: 1042-1049 - [c5]Maoying Li, Liu Yang, Qinghua Hu, Chenyang Shen, Zhibin Du:
Transfer Learning for Driving Pattern Recognition. PRICAI (2) 2019: 52-65 - 2018
- [c4]Pengfei Zhu, Ren Qi, Qinghua Hu, Qilong Wang, Changqing Zhang, Liu Yang:
Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning. IJCAI 2018: 3242-3248 - 2017
- [j5]Liu Yang, Liping Jing, Bo Liu, Jian Yu:
Common latent space identification for heterogeneous co-transfer clustering. Neurocomputing 269: 29-39 (2017) - [j4]Liping Jing, Chenyang Shen, Liu Yang, Jian Yu, Michael K. Ng:
Multi-Label Classification by Semi-Supervised Singular Value Decomposition. IEEE Trans. Image Process. 26(10): 4612-4625 (2017) - 2016
- [j3]Liu Yang, Liping Jing, Michael K. Ng, Jian Yu:
A discriminative and sparse topic model for image classification and annotation. Image Vis. Comput. 51: 22-35 (2016) - [j2]Liu Yang, Liping Jing, Jian Yu, Michael K. Ng:
Learning Transferred Weights From Co-Occurrence Data for Heterogeneous Transfer Learning. IEEE Trans. Neural Networks Learn. Syst. 27(11): 2187-2200 (2016) - 2015
- [j1]Liu Yang, Liping Jing, Michael K. Ng:
Robust and Non-Negative Collective Matrix Factorization for Text-to-Image Transfer Learning. IEEE Trans. Image Process. 24(12): 4701-4714 (2015) - [c3]Liping Jing, Liu Yang, Jian Yu, Michael K. Ng:
Semi-supervised low-rank mapping learning for multi-label classification. CVPR 2015: 1483-1491 - [c2]Liu Yang, Liping Jing, Jian Yu:
Common Latent Space Identification for Heterogeneous Co-transfer Clustering. IScIDE (2) 2015: 395-406 - 2014
- [c1]Liu Yang, Liping Jing, Jian Yu:
Heterogeneous Co-transfer Spectral Clustering. RSKT 2014: 352-363
Coauthor Index
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last updated on 2025-10-02 01:14 CEST by the dblp team
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