UM

Browse/Search Results:  1-10 of 15 Help

Selected(0)Clear Items/Page:    Sort:
Spatial-Temporal Wind Power Probabilistic Forecasting Based on Time-Aware Graph Convolutional Network Journal article
Tang, Jingwei, Liu, Zhi, Hu, Jianming. Spatial-Temporal Wind Power Probabilistic Forecasting Based on Time-Aware Graph Convolutional Network[J]. IEEE Transactions on Sustainable Energy, 2024, 15(3), 1946-1956.
Authors:  Tang, Jingwei;  Liu, Zhi;  Hu, Jianming
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:8.6/8.6 | Submit date:2024/05/16
Time Zigzag  Flexible Convolution  Graph Convolutional Network  Heavy-tail Quantile Function  
Federated learning on non-IID and globally long-tailed data via meta re-weighting networks Journal article
Lu, Yang, Qian, Pinxin, Yan, Shanshan, Huang, Gang, Tang, Yuan Yan. Federated learning on non-IID and globally long-tailed data via meta re-weighting networks[J]. International Journal of Wavelets, Multiresolution and Information Processing, 2024, 22(3), 2350063.
Authors:  Lu, Yang;  Qian, Pinxin;  Yan, Shanshan;  Huang, Gang;  Tang, Yuan Yan
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:0.9/1.1 | Submit date:2024/08/05
Federated Learning  Long-tail Learning  Meta-learning  Re-weighting  
A novel time series probabilistic prediction approach based on the monotone quantile regression neural network Journal article
Hu, Jianming, Tang, Jingwei, Liu, Zhi. A novel time series probabilistic prediction approach based on the monotone quantile regression neural network[J]. Information Sciences, 2024, 654, 119844.
Authors:  Hu, Jianming;  Tang, Jingwei;  Liu, Zhi
Favorite | TC[WOS]:5 TC[Scopus]:6  IF:0/0 | Submit date:2024/02/22
Heavy-tail Distribution  Monotonicity  Neural Networks  Quantile Regression  
Let It Go: Relieving Garbage Collection Pain for Latency Critical Applications in Golang Conference paper
Zhao, Junxian, Zhou, Xiaobo, Chang, Sang-Yoon, Xu, Cheng-Zhong. Let It Go: Relieving Garbage Collection Pain for Latency Critical Applications in Golang[C], USA:ACM, 2023, 169–180.
Authors:  Zhao, Junxian;  Zhou, Xiaobo;  Chang, Sang-Yoon;  Xu, Cheng-Zhong
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date:2023/08/08
Golang (Go)  Garbage Collection (Gc)  Gc Scheduler  Latency Critical (Lc)  Tail Latency  
Reinforced Imitative Graph Learning for Mobile User Profiling Journal article
Dongjie Wang, Pengyang Wang, Kunpeng Liu, Xiong, Hui, Charles Hughes, Yanjie Fu. Reinforced Imitative Graph Learning for Mobile User Profiling[J]. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(12), 12944-12957.
Authors:  Dongjie Wang;  Pengyang Wang;  Kunpeng Liu;  Xiong, Hui;  Charles Hughes; et al.
Favorite | TC[WOS]:7 TC[Scopus]:5  IF:8.9/8.8 | Submit date:2023/07/18
Behavioral Sciences  Education  Incremental Learning  Knowledge Graphs  Mobile User Profiling  Reinforcement Learning  Reinforcement Learning  Semantics  Spatial Knowledge Graph  Tail  Task Analysis  
Common institutional blockholders and tail risk Journal article
Cheng, C.S. Agnes, Xie, Jing, Zhong, Yuxiang. Common institutional blockholders and tail risk[J]. Journal of Banking & Finance, 2023.
Authors:  Cheng, C.S. Agnes;  Xie, Jing;  Zhong, Yuxiang
Favorite | TC[WOS]:4 TC[Scopus]:3  IF:3.6/4.4 | Submit date:2023/08/09
Tail Risk  Institutional Investors  Peer Effects  Corporate Disclosure  Real Investment  Trading  
Improving Concurrent GC for Latency Critical Services in Multi-tenant Systems Conference paper
Zhao, Junxian, Pi, Aidi, Zhou, Xiaobo, Chang, Sang Yoon, Xu, Chengzhong. Improving Concurrent GC for Latency Critical Services in Multi-tenant Systems[C]:Association for Computing Machinery, Inc, 2022, 43-55.
Authors:  Zhao, Junxian;  Pi, Aidi;  Zhou, Xiaobo;  Chang, Sang Yoon;  Xu, Chengzhong
Favorite | TC[Scopus]:1 | Submit date:2022/08/02
Garbage Collection  Interference  Job Co-location  Tail Latency  
Sharper Sub-Weibull Concentrations Journal article
Zhang, Huiming, Wei, Haoyu. Sharper Sub-Weibull Concentrations[J]. Mathematics, 2022, 10(13), 2252.
Authors:  Zhang, Huiming;  Wei, Haoyu
Favorite | TC[WOS]:9 TC[Scopus]:13  IF:2.3/2.2 | Submit date:2022/08/02
Constants-specified Concentration Inequalities  Exponential Tail Bounds  Heavy-tailed Random Variables  Lower Bounds On The Least Singular Value  Sub-weibull Parameter  
Multi-Tier Workload Consolidations in the Cloud: Profiling, Modeling and Optimization Journal article
Ye, Kejiang, Shen, Haiying, Wang, Yang, Xu, Cheng Zhong. Multi-Tier Workload Consolidations in the Cloud: Profiling, Modeling and Optimization[J]. IEEE Transactions on Cloud Computing, 2022, 10(2), 899-912.
Authors:  Ye, Kejiang;  Shen, Haiying;  Wang, Yang;  Xu, Cheng Zhong
Favorite | TC[WOS]:14 TC[Scopus]:10  IF:5.3/4.6 | Submit date:2022/08/05
Cloud Computing  Multi-tier Workload  Server Consolidation  Tail Latency  
Analysis of ground deformation induced by shield tunneling considering the effects of muck discharge and grouting Journal article
Ding, Zhi, He, Shu Yu, Zhou, Wan Huan, Xu, Tao, He, Shao Heng, Zhang, Xiao. Analysis of ground deformation induced by shield tunneling considering the effects of muck discharge and grouting[J]. Transportation Geotechnics, 2021, 30, 100629.
Authors:  Ding, Zhi;  He, Shu Yu;  Zhou, Wan Huan;  Xu, Tao;  He, Shao Heng; et al.
Favorite | TC[WOS]:12 TC[Scopus]:14  IF:4.9/5.1 | Submit date:2021/12/08
Construction Parameters  Ground Deformation  Shield Tunneling  Tail Void Grouting  Volume Loss