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FedGCS: A Generative Framework for Effcient Client Selection in Federated Learning via Gradient-based Optimization Conference paper
ZHIYUAN NING, CHUNLIN TIAN, MENG XIAO, WEI FAN, PENGYANG WANG, LI LI, PENGFEI WANG, YUANCHUN ZHOU. FedGCS: A Generative Framework for Effcient Client Selection in Federated Learning via Gradient-based Optimization[C], 2024.
Authors:  ZHIYUAN NING;  CHUNLIN TIAN;  MENG XIAO;  WEI FAN;  PENGYANG WANG; et al.
Favorite |  | Submit date：2024/08/28
FedGSC: A Generative Framework for Efficient Client Selection in Federated Learning Conference paper
Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou. FedGSC: A Generative Framework for Efficient Client Selection in Federated Learning[C], 2024.
Authors:  Zhiyuan Ning;  Chunlin Tian;  Meng Xiao;  Wei Fan;  Pengyang Wang; et al.
Favorite |  | Submit date：2024/08/29
Temporal inductive path neural network for temporal knowledge graph reasoning Journal article
Dong, Hao, Wang, Pengyang, Xiao, Meng, Ning, Zhiyuan, Wang, Pengfei, Zhou, Yuanchun. Temporal inductive path neural network for temporal knowledge graph reasoning[J]. Artificial Intelligence, 2024, 329, 104085.
Authors:  Dong, Hao;  Wang, Pengyang;  Xiao, Meng;  Ning, Zhiyuan;  Wang, Pengfei; et al.
Favorite | TC[WOS]:3 TC[Scopus]:6  IF:5.1/4.8 | Submit date：2024/05/02
Graph Neural Networks  Knowledge Graph Reasoning  Temporal Knowledge Graph  Temporal Reasoning  
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization Conference paper
Ning, Zhiyuan, Tian, Chunlin, Xiao, Meng, Fan, Wei, Wang, Pengyang, Li, Li, Wang, Pengfei, Zhou, Yuanchun. FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization[C]:International Joint Conferences on Artificial Intelligence, 2024, 4760-4768.
Authors:  Ning, Zhiyuan;  Tian, Chunlin;  Xiao, Meng;  Fan, Wei;  Wang, Pengyang; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/10/10
Machine Learning  Data Mining  
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning Conference paper
Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu. Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning[C], 2023.
Authors:  Hao Dong;  Zhiyuan Ning;  Pengyang Wang;  Ziyue Qiao;  Pengfei Wang; et al.
Favorite | TC[Scopus]:4 | Submit date：2023/07/18
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting Conference paper
Wei Fan, Pengyang Wang, Dongkun Wang, Dongjie Wang, Yuanchun Zhou, Yanjie Fu. Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting[C]:AAAI Press, 2023, 7522 - 7529.
Authors:  Wei Fan;  Pengyang Wang;  Dongkun Wang;  Dongjie Wang;  Yuanchun Zhou; et al.
Favorite | TC[Scopus]:31 | Submit date：2023/07/18
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification Journal article
Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du, Pengyang Wang, Hui Xiong, Yuanchun Zhou. Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification[J]. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(9), 9685-9699.
Authors:  Meng Xiao;  Ziyue Qiao;  Yanjie Fu;  Hao Dong;  Yi Du; et al.
Favorite | TC[WOS]:3 TC[Scopus]:5  IF:8.9/8.8 | Submit date：2023/07/18
Natural Language Processing  Classification Algorithms  
A Dual-Channel Semi-Supervised Learning Framework on Graphs via Knowledge Transfer and Meta-Learning Journal article
Ziyue Qiao, Pengyang Wang, Pengfei Wang, Zhiyuan Ning, Yanjie Fu, Yi Du, Yuanchun Zhou, Jianqiang Huang, Xian-Sheng Hua, Hui Xiong. A Dual-Channel Semi-Supervised Learning Framework on Graphs via Knowledge Transfer and Meta-Learning[J]. ACM TRANSACTIONS ON THE WEB, 2023, 18(2), 18.
Authors:  Ziyue Qiao;  Pengyang Wang;  Pengfei Wang;  Zhiyuan Ning;  Yanjie Fu; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:2.6/2.8 | Submit date：2023/12/13
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training Journal article
Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Denghui Zhang, Yi Du, Yuanchun Zhou. RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training[J]. IEEE Transactions on Big Data, 2022, 9(1), 186-199.
Authors:  Ziyue Qiao;  Yanjie Fu;  Pengyang Wang;  Meng Xiao;  Zhiyuan Ning; et al.
Favorite | TC[WOS]:7 TC[Scopus]:9  IF:7.5/5.8 | Submit date：2022/05/17
Pre-training  Contrastive Learning  Transformer  Graph Representation Learning  
Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification Conference paper
Xiao, Meng, Qiao, Ziyue, Fu, Yanjie, Du, Yi, Wang, Pengyang, Zhou, Yuanchun. Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification[C], 2021, 757-766.
Authors:  Xiao, Meng;  Qiao, Ziyue;  Fu, Yanjie;  Du, Yi;  Wang, Pengyang; et al.
Favorite |  | Submit date：2022/06/15