CSpace

浏览/检索结果: 共82条,第1-10条 帮助

已选(0)清除 条数/页:   排序方式:
Trajectory-User Linking via Multi-Scale Graph Attention Network 期刊论文
PATTERN RECOGNITION, 2025, 卷号: 158, 页码: 16
作者:  Li, Yujie;  Sun, Tao;  Shao, Zezhi;  Zhen, Yiqiang;  Xu, Yongjun;  Wang, Fei
收藏  |  浏览/下载:3/0  |  提交时间:2024/12/06
Trajectory-user linking  Graph neural network  Trajectory classification  Spatio-temporal data mining  Check-in data  
MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction 期刊论文
INFORMATION FUSION, 2025, 卷号: 113, 页码: 15
作者:  Yu, Chengqing;  Wang, Fei;  Wang, Yilun;  Shao, Zezhi;  Sun, Tao;  Yao, Di;  Xu, Yongjun
收藏  |  浏览/下载:3/0  |  提交时间:2024/12/06
Air quality prediction  Multi-Granularity Spatiotemporal Fusion  Transformer  Spatiotemporal correlation  Multi-source information fusion  
A resource-aware workload scheduling method for unbalanced GEMMs on GPUs 期刊论文
COMPUTER JOURNAL, 2024, 页码: 10
作者:  Liu, Hangda;  Diao, Boyu;  Chen, Wenxin;  Xu, Yongjun
收藏  |  浏览/下载:2/0  |  提交时间:2024/12/06
Deep Distributional Reinforcement Learning-Based Adaptive Routing With Guaranteed Delay Bounds 期刊论文
IEEE-ACM TRANSACTIONS ON NETWORKING, 2024, 页码: 15
作者:  Liu, Jianmin;  Li, Dan;  Xu, Yongjun
收藏  |  浏览/下载:3/0  |  提交时间:2024/12/06
Deep distributional reinforcement learning  real-time QoS guarantees  adaptive routing  wireless multi-hop networks  Deep distributional reinforcement learning  real-time QoS guarantees  adaptive routing  wireless multi-hop networks  
Scheduling of Real-Time Wireless Flows: A Comparative Study of Centralized and Decentralized Reinforcement Learning Approaches 期刊论文
IEEE-ACM TRANSACTIONS ON NETWORKING, 2024, 页码: 16
作者:  Wang, Qi;  Huang, Jianhui;  Xu, Yongjun
收藏  |  浏览/下载:1/0  |  提交时间:2024/12/06
Scheduling  timely-throughput  deep reinforcement learning  real-time wireless networks  distributed system  
Triple Dual Learning for Opinion-based Explainable Recommendation 期刊论文
ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2024, 卷号: 42, 期号: 3, 页码: 27
作者:  Zhang, Yuting;  Sun, Ying;  Zhuang, Fuzhen;  Zhu, Yongchun;  An, Zhulin;  Xu, Yongjun
收藏  |  浏览/下载:1/0  |  提交时间:2024/12/06
Explainable recommendation  triple dual learning  opinion-based explanation  
Sketch-fusion: A gradient compression method with multi-layer fusion for communication-efficient distributed training 期刊论文
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2024, 卷号: 185, 页码: 10
作者:  Dai, Lingfei;  Gong, Luqi;  An, Zhulin;  Xu, Yongjun;  Diao, Boyu
收藏  |  浏览/下载:9/0  |  提交时间:2024/05/20
Gradient compression  Multi-layer fusion  Distributed stochastic gradient descent  Deep learning training  
Approximate data mapping in refresh-free DRAM for energy-efficient computing in modern mobile systems 期刊论文
COMPUTER COMMUNICATIONS, 2024, 卷号: 216, 页码: 151-158
作者:  Li, Sen;  Jin, Hui;  Gao, Yingke;  Wang, Ying;  Dai, Shuhong;  Xu, Yongjun;  Cheng, Long
收藏  |  浏览/下载:36/0  |  提交时间:2024/05/20
DRAM  Refresh  Approximate computing  Energy efficiency  Mobile communication systems  
Heterogeneous Graph Neural Network With Multi-View Representation Learning 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 11, 页码: 11476-11488
作者:  Shao, Zezhi;  Xu, Yongjun;  Wei, Wei;  Wang, Fei;  Zhang, Zhao;  Zhu, Feida
收藏  |  浏览/下载:11/0  |  提交时间:2024/05/20
Heterogeneous graphs  graph neural networks  graph embedding  
Topic-aware Intention Network for Explainable Recommendation with Knowledge Enhancement 期刊论文
ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2023, 卷号: 41, 期号: 4, 页码: 23
作者:  Li, Qiming;  Zhang, Zhao;  Zhuang, Fuzhen;  Xu, Yongjun;  Li, Chao
收藏  |  浏览/下载:22/0  |  提交时间:2023/12/04
Knowledge graph  recommender system  topic model