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Jiyang Bai
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2020 – today
- 2024
- [j6]Jiyang Bai, Peixiang Zhao:
POLIGRAS: Policy-based Graph Summarization. Proc. VLDB Endow. 17(10): 2432-2444 (2024) - [j5]Jiyang Bai, Xianbin Wang:
Distributed-Optimization With Centralized-Refining for Efficient Resource Allocation in Future Wireless Networks. IEEE Trans. Commun. 72(8): 4829-4843 (2024) - [d1]Jiyang Bai, Xianbin Wang:
Distributed-Optimization-with-Centralized-Refining. IEEE DataPort, 2024 - 2023
- [j4]Jiyang Bai, Xianbin Wang, Jie Mei, Yan Xin, Osama Aboul-Magd, Edward Au:
Hybrid Services QoS Enhancement by Joint Traffic and Access Management in Unsaturated IEEE 802.11ax Network. IEEE Trans. Netw. Sci. Eng. 10(6): 3281-3294 (2023) - 2022
- [j3]Jiyang Bai, Yuxiang Ren, Jiawei Zhang:
Adaptive momentum with discriminative weight for neural network stochastic optimization. Int. J. Intell. Syst. 37(9): 6531-6554 (2022) - [j2]Jiyang Bai, Yuxiang Ren, Jiawei Zhang:
Measuring and sampling: A metric-guided subgraph learning framework for graph neural network. Int. J. Intell. Syst. 37(10): 7502-7525 (2022) - 2021
- [j1]Jiyang Bai, Peixiang Zhao:
TaGSim: Type-aware Graph Similarity Learning and Computation. Proc. VLDB Endow. 15(2): 335-347 (2021) - [c7]Yuxiang Ren, Jiyang Bai, Jiawei Zhang:
Label Contrastive Coding Based Graph Neural Network for Graph Classification. DASFAA (1) 2021: 123-140 - [c6]Jiyang Bai, Yuxiang Ren, Jiawei Zhang:
Ripple Walk Training: A Subgraph-based Training Framework for Large and Deep Graph Neural Network. IJCNN 2021: 1-8 - [c5]Jiyang Bai, Yuxiang Ren, Jiawei Zhang:
BGADAM: Boosting based Genetic-Evolutionary ADAM for Neural Network Optimization. IJCNN 2021: 1-8 - [i5]Yuxiang Ren, Jiyang Bai, Jiawei Zhang:
Label Contrastive Coding based Graph Neural Network for Graph Classification. CoRR abs/2101.05486 (2021) - [i4]Jiyang Bai, Yuxiang Ren, Jiawei Zhang:
Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network. CoRR abs/2112.15015 (2021) - 2020
- [c4]Jiyang Bai, Yuxiang Ren, Jiawei Zhang:
DEAM: Adaptive Momentum with Discriminative Weight for Stochastic Optimization. ASONAM 2020: 37-41 - [i3]Jiyang Bai, Yuxiang Ren, Jiawei Zhang:
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network. CoRR abs/2002.07206 (2020)
2010 – 2019
- 2019
- [c3]Lin Meng, Jiyang Bai, Jiawei Zhang:
LATTE: Application Oriented Social Network Embedding. IEEE BigData 2019: 1169-1174 - [i2]Jiyang Bai, Jiawei Zhang:
DEAM: Accumulated Momentum with Discriminative Weight for Stochastic Optimization. CoRR abs/1907.11307 (2019) - [i1]Jiyang Bai, Jiawei Zhang:
BGADAM: Boosting based Genetic-Evolutionary ADAM for Convolutional Neural Network Optimization. CoRR abs/1908.08015 (2019) - 2018
- [c2]Jiyang Bai, He Fang, Junghoon Suh, Osama Aboul-Magd, Edward Au, Xianbin Wang:
Adaptive Uplink OFDMA Random Access Grouping Scheme for Ultra-Dense Networks in IEEE 802.11ax. ICCC 2018: 34-39 - 2016
- [c1]Jiyang Bai, Qingpeng Liang, Chuan Huang, Shihai Shao, Youxi Tang:
A Simple Transmission Scheme for Coordinated Multipoint Uplink Transmission with Limited Fronthaul. VTC Fall 2016: 1-5
Coauthor Index
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last updated on 2024-12-19 23:11 CET by the dblp team
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