Jiyang Bai

According to our database, Jiyang Bai authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Distributed-Optimization With Centralized-Refining for Efficient Resource Allocation in Future Wireless Networks.

Jiyang Bai, Xianbin Wang

IEEE Trans. Commun., August, 2024

POLIGRAS: Policy-based Graph Summarization.

Jiyang Bai, Peixiang Zhao

Proc. VLDB Endow., June, 2024

Distributed-Optimization-with-Centralized-Refining.

Jiyang Bai, Xianbin Wang

Dataset, March, 2024

2023

Hybrid Services QoS Enhancement by Joint Traffic and Access Management in Unsaturated IEEE 802.11ax Network.

Jiyang Bai, Xianbin Wang, Jie Mei, Yan Xin, Osama Aboul-Magd, Edward Au

IEEE Trans. Netw. Sci. Eng., 2023

2022

Measuring and sampling: A metric-guided subgraph learning framework for graph neural network.

Jiyang Bai, Yuxiang Ren, Jiawei Zhang

Int. J. Intell. Syst., 2022

Adaptive momentum with discriminative weight for neural network stochastic optimization.

Jiyang Bai, Yuxiang Ren, Jiawei Zhang

Int. J. Intell. Syst., 2022

2021

TaGSim: Type-aware Graph Similarity Learning and Computation.

Jiyang Bai, Peixiang Zhao

Proc. VLDB Endow., 2021

BGADAM: Boosting based Genetic-Evolutionary ADAM for Neural Network Optimization.

Jiyang Bai, Yuxiang Ren, Jiawei Zhang

Proceedings of the International Joint Conference on Neural Networks, 2021

Ripple Walk Training: A Subgraph-based Training Framework for Large and Deep Graph Neural Network.

Jiyang Bai, Yuxiang Ren, Jiawei Zhang

Proceedings of the International Joint Conference on Neural Networks, 2021

Label Contrastive Coding Based Graph Neural Network for Graph Classification.

Yuxiang Ren, Jiyang Bai, Jiawei Zhang

Proceedings of the Database Systems for Advanced Applications, 2021

2020

DEAM: Adaptive Momentum with Discriminative Weight for Stochastic Optimization.

Jiyang Bai, Yuxiang Ren, Jiawei Zhang

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019

BGADAM: Boosting based Genetic-Evolutionary ADAM for Convolutional Neural Network Optimization.

Jiyang Bai, Jiawei Zhang

CoRR, 2019

DEAM: Accumulated Momentum with Discriminative Weight for Stochastic Optimization.

Jiyang Bai, Jiawei Zhang

CoRR, 2019

LATTE: Application Oriented Social Network Embedding.

Lin Meng, Jiyang Bai, Jiawei Zhang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Adaptive Uplink OFDMA Random Access Grouping Scheme for Ultra-Dense Networks in IEEE 802.11ax.

Jiyang Bai, He Fang, Junghoon Suh, Osama Aboul-Magd, Edward Au, Xianbin Wang

Proceedings of the IEEE/CIC International Conference on Communications in China, 2018

2016

A Simple Transmission Scheme for Coordinated Multipoint Uplink Transmission with Limited Fronthaul.

Jiyang Bai, Qingpeng Liang, Chuan Huang, Shihai Shao, Youxi Tang

Proceedings of the IEEE 84th Vehicular Technology Conference, 2016