Jiasheng Wu

According to our database, Jiasheng Wu authored at least 16 papers between 2019 and 2024.

Collaborative distances:

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

2024

Joint Retrieval of Multiple Species of Ice Hydrometeor Parameters from Millimeter and Submillimeter Wave Brightness Temperature Based on Convolutional Neural Networks.

Ke Chen, Jiasheng Wu, Yingying Chen

Remote. Sens., March, 2024

How to Allocate Resources in Cloud-Native Networks Towards 6G.

Jiasheng Wu, Yue Gao, Lin Wang, Jingjing Zhang, Dapeng Oliver Wu

IEEE Netw., March, 2024

FedMMD: A Federated weighting algorithm considering Non-IID and Local Model Deviation.

Kai Hu, Yaogen Li, Shuai Zhang, Jiasheng Wu, Sheng Gong, Shanshan Jiang, Liguo Weng

Expert Syst. Appl., March, 2024

Accelerating Handover in Mobile Satellite Network.

Jiasheng Wu, Shaojie Su, Xiong Wang, Jingjing Zhang, Yue Gao

Proceedings of the IEEE INFOCOM 2024, 2024

Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach.

Jiasheng Wu, Xin Liu, Dawei Cheng, Yi Ouyang, Xian Wu, Yefeng Zheng

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Retrieval of Ice Cloud Parameters from Simulations of the Ice Cloud Imager (ICI) Based on Convolutional Neural Networks.

Ke Chen, Jiasheng Wu, Kun Liang, Qingxia Li

Proceedings of the IGARSS 2024, 2024

2023

Personalized federated learning based on multi-head attention algorithm.

Shanshan Jiang, Meixia Lu, Kai Hu, Jiasheng Wu, Yaogen Li, Liguo Weng, Min Xia, Haifeng Lin

Int. J. Mach. Learn. Cybern., November, 2023

FGDNet: Fine-Grained Detection Network Towards Face Anti-Spoofing.

Tong Qiao, Jiasheng Wu, Ning Zheng, Ming Xu, Xiangyang Luo

IEEE Trans. Multim., 2023

Deep Reinforcement Learning Based Resource Allocation for Cloud Native Wireless Network.

Lin Wang, Jiasheng Wu, Yue Gao, Jingjing Zhang

CoRR, 2023

Fine-grained Face Anti-Spoofing based on Recursive Self-Attention and Multi-Scale Fusion.

Shichuang Xie, Jiasheng Wu, Yanli Chen, Meng Han, Ting Wu, Tong Qiao

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2021

A novel federated learning approach based on the confidence of federated Kalman filters.

Kai Hu, Jiasheng Wu, Liguo Weng, Yanwen Zhang, Fei Zheng, Zichao Pang, Min Xia

Int. J. Mach. Learn. Cybern., 2021

Distinguishing between natural and recolored images via lateral chromatic aberration.

Yangxin Yu, Ning Zheng, Tong Qiao, Ming Xu, Jiasheng Wu

J. Vis. Commun. Image Represent., 2021

Federated Learning: A Distributed Shared Machine Learning Method.

Kai Hu, Yaogen Li, Min Xia, Jiasheng Wu, Meixia Lu, Shuai Zhang, Liguo Weng

Complex., 2021

2019

Machine Learning Prediction on Properties of Nanoporous Materials Utilizing Pore Geometry Barcodes.

Xiangyu Zhang, Jing Cui, Kexin Zhang, Jiasheng Wu, Yongjin Lee

J. Chem. Inf. Model., 2019

T2WML: A Cell-Based Language to Map Tables into Wikidata Records.

Pedro A. Szekely, Daniel Garijo, Jay Pujara, Divij Bhatia, Jiasheng Wu

Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, 2019

T2WML: Table To Wikidata Mapping Language.

Pedro A. Szekely, Daniel Garijo, Divij Bhatia, Jiasheng Wu, Yixiang Yao, Jay Pujara

Proceedings of the 10th International Conference on Knowledge Capture, 2019