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Towards Mobile Palmprint Recognition via Multi-view Hierarchical Graph Learning Journal article
Zhao, Shuping, Fei, Lunke, Zhang, Bob, Wen, Jie, Cui, Jinrong. Towards Mobile Palmprint Recognition via Multi-view Hierarchical Graph Learning[J]. IEEE Transactions on Information Forensics and Security, 2024.
Authors:  Zhao, Shuping;  Fei, Lunke;  Zhang, Bob;  Wen, Jie;  Cui, Jinrong
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:6.3/7.3 | Submit date：2024/12/05
Multi-view Hierarchical Graph Learning  Multi-view Palmprint Recognition  Robust Representation  
UAV Swarm-Assisted Two-Tier Hierarchical Federated Learning Journal article
Wang Tianshun, Huang Xumin, Wu Yuan, Qian Liping, Lin Bin, Su Zhou. UAV Swarm-Assisted Two-Tier Hierarchical Federated Learning[J]. IEEE Transactions on Network Science and Engineering, 2024, 11(1), 943-956.
Authors:  Wang Tianshun;  Huang Xumin;  Wu Yuan;  Qian Liping;  Lin Bin; et al.
Favorite | TC[WOS]:8 TC[Scopus]:10  IF:6.7/6.0 | Submit date：2023/12/13
Autonomous Aerial Vehicles  Computational Modeling  Data Models  Hierarchical Federated Learning  Optimization  Relays  Servers  Training  Uav Swarm  Wireless Federated Learning  
Multi-Agent Mix Hierarchical Deep Reinforcement Learning for Large-Scale Fleet Management Journal article
Huang, Xiaohui, Ling, Jiahao, Yang, Xiaofei, Zhang, Xiong, Yang, Kaiming. Multi-Agent Mix Hierarchical Deep Reinforcement Learning for Large-Scale Fleet Management[J]. IEEE Transactions on Intelligent Transportation Systems, 2023, 24(12), 14294-14305.
Authors:  Huang, Xiaohui;  Ling, Jiahao;  Yang, Xiaofei;  Zhang, Xiong;  Yang, Kaiming
Favorite | TC[WOS]:2 TC[Scopus]:6  IF:7.9/8.3 | Submit date：2024/01/02
Fleet Management  Hierarchical Reinforcement Learning  Multi-agent Reinforcement Learning  
Deepening the scientific understanding of different phenomenology in laser powder bed fusion by an integrated framework Journal article
Liping Guo, Hanjie Liu, Hongze Wang, Valentino A.M. Cristino, C.T. Kwok, Qianglong Wei, Zijue Tang, Yi Wu, Haowei Wang. Deepening the scientific understanding of different phenomenology in laser powder bed fusion by an integrated framework[J]. International Journal of Heat and Mass Transfer, 2023, 216, 124596.
Authors:  Liping Guo;  Hanjie Liu;  Hongze Wang;  Valentino A.M. Cristino;  C.T. Kwok; et al.
Adobe PDF | Favorite | TC[WOS]:0 TC[Scopus]:1 | Submit date：2023/08/22
Laser Powder Bed Fusion  Simulation  Machine Learning  Printability  Hierarchical Importance  
Semi-supervised transfer learning with hierarchical self-regularization Journal article
Li, Xingjian, Abuduweili, Abulikemu, Shi, Humphrey, Yang, Pengkun, Dou, Dejing, Xiong, Haoyi, Xu, Chengzhong. Semi-supervised transfer learning with hierarchical self-regularization[J]. Pattern Recognition, 2023, 144, 109831.
Authors:  Li, Xingjian;  Abuduweili, Abulikemu;  Shi, Humphrey;  Yang, Pengkun;  Dou, Dejing; et al.
Favorite | TC[WOS]:7 TC[Scopus]:9  IF:7.5/7.6 | Submit date：2023/09/21
Adaptive Sample Selection  Deep Learning  Fine-tuning  Hierarchical Consistency  Semi-supervised Learning  Transfer Learning  
Reinforcement Learning Enabled Dynamic Resource Allocation in the Internet of Vehicles Journal article
Liang, Hongbin, Zhang, Xiaohui, Hong, Xintao, Zhang, Zongyuan, Li, Mushu, Hu, Guangdi, Hou, Fen. Reinforcement Learning Enabled Dynamic Resource Allocation in the Internet of Vehicles[J]. IEEE Transactions on Industrial Informatics, 2021, 17(7), 4957-4967.
Authors:  Liang, Hongbin;  Zhang, Xiaohui;  Hong, Xintao;  Zhang, Zongyuan;  Li, Mushu; et al.
Favorite | TC[WOS]:32 TC[Scopus]:45  IF:11.7/11.4 | Submit date：2021/12/08
Hierarchical Architecture  Internet Of Vehicles (Iov)  Reinforcement Learning  Resource Allocation  Semi-markov Decision Process (Smdp)  
HNS: Hierarchical negative sampling for network representation learning Journal article
Junyang Chen, Zhiguo Gong, Wei Wang, Weiwen Liu. HNS: Hierarchical negative sampling for network representation learning[J]. Information Sciences, 2021, 542, 343-356.
Authors:  Junyang Chen;  Zhiguo Gong;  Wei Wang;  Weiwen Liu
Favorite | TC[WOS]:15 TC[Scopus]:17  IF:0/0 | Submit date：2020/12/04
Hierarchical Negative Sampling  Network Embeddings  Network Representation Learning  
Distribution-aware hierarchical weighting method for deep metric learning Conference paper
Zhu, Yinong, Feng, Yong, Zhou, Mingliang, Qiang, Baohua, Leong Hou, U., Zhu, Jiajie. Distribution-aware hierarchical weighting method for deep metric learning[C], NEW YORK, NY 10017 USA:IEEE, 2021, 1770-1774.
Authors:  Zhu, Yinong;  Feng, Yong;  Zhou, Mingliang;  Qiang, Baohua;  Leong Hou, U.; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2022/05/13
Metric Learning  Distribution Quantification  Hierarchical Weighting  Relationship Maintenance  
3D2SeqViews: Aggregating Sequential Views for 3D Global Feature Learning by CNN With Hierarchical Attention Aggregation Journal article
Han, Z.Z., Lu, H.L., Liu, Z.B., Vong, C. M., Liu, Y.S., Zwicker, M., Han, J.W., Chen, C. L. P.. 3D2SeqViews: Aggregating Sequential Views for 3D Global Feature Learning by CNN With Hierarchical Attention Aggregation[J]. IEEE Transactions on Image Processing (SCI-E), 2019, 3986-3999.
Authors:  Han, Z.Z.;  Lu, H.L.;  Liu, Z.B.;  Vong, C. M.;  Liu, Y.S.; et al.
Favorite |   IF:10.8/12.1 | Submit date：2022/08/09
3D global feature learning  view aggregation  sequential views  hierarchical attention aggregation  CNN  
3D2SeqViews: Aggregating Sequential Views for 3D Global Feature Learning by CNN with Hierarchical Attention Aggregation Journal article
Han,Zhizhong, Lu,Honglei, Liu,Zhenbao, Vong,Chi Man, Liu,Yu Shen, Zwicker,Matthias, Han,Junwei, Philip Chen,C. L.. 3D2SeqViews: Aggregating Sequential Views for 3D Global Feature Learning by CNN with Hierarchical Attention Aggregation[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 28(8), 3986-3999.
Authors:  Han,Zhizhong;  Lu,Honglei;  Liu,Zhenbao;  Vong,Chi Man;  Liu,Yu Shen; et al.
Favorite | TC[WOS]:127 TC[Scopus]:155  IF:10.8/12.1 | Submit date：2021/03/11
3d Global Feature Learning  Cnn  Hierarchical Attention Aggregation  Sequential Views  View Aggregation