T2WML: Table To Wikidata Mapping Language. - Pedro A. Szekely; Daniel Garijo; Divij Bhatia; Jiasheng Wu; Yixiang Yao; Jay Pujara (K-CAP, 2019)

T2WML: A Cell-Based Language to Map Tables into Wikidata Records. - Pedro A. Szekely; Daniel Garijo; Jay Pujara; Divij Bhatia; Jiasheng Wu (ISWC (Satellites), 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)

Federated Learning: A Distributed Shared Machine Learning Method. - Kai Hu 006; Yaogen Li; Min Xia 002; Jiasheng Wu; Meixia Lu; Shuai Zhang 044; Liguo Weng (Complex., 2021)

Distinguishing between natural and recolored images via lateral chromatic aberration. - Yangxin Yu; Ning Zheng 001; Tong Qiao; Ming Xu 001; Jiasheng Wu (J. Vis. Commun. Image Represent., 2021)

A novel federated learning approach based on the confidence of federated Kalman filters. - Kai Hu 006; Jiasheng Wu; Liguo Weng; Yanwen Zhang; Fei Zheng; Zichao Pang; Min Xia 002 (Int. J. Mach. Learn. Cybern., 2021)

Fine-grained Face Anti-Spoofing based on Recursive Self-Attention and Multi-Scale Fusion. - Shichuang Xie; Jiasheng Wu; Yanli Chen; Meng Han; Ting Wu 001; Tong Qiao (APSIPA ASC, 2023)

Deep Reinforcement Learning Based Resource Allocation for Cloud Native Wireless Network. - Lin Wang; Jiasheng Wu; Yue Gao 001; Jingjing Zhang (CoRR, 2023)

FGDNet: Fine-Grained Detection Network Towards Face Anti-Spoofing. - Tong Qiao; Jiasheng Wu; Ning Zheng 001; Ming Xu 001; Xiangyang Luo (IEEE Trans. Multim., 2023)

Personalized federated learning based on multi-head attention algorithm. - Shanshan Jiang; Meixia Lu; Kai Hu 006; Jiasheng Wu; Yaogen Li; Liguo Weng; Min Xia 002; Haifeng Lin (Int. J. Mach. Learn. Cybern., 2023)

An Area-Energy Efficient EEG Detection System Based On PWL and Nonlinear SVM. - Guijie Cao; Weiwei Shi 001; Jiasheng Wu; Zhihong Mo; Yuping Gao (BioCAS, 2024)

Retrieval of Ice Cloud Parameters from Simulations of the Ice Cloud Imager (ICI) Based on Convolutional Neural Networks. - Ke Chen 014; Jiasheng Wu; Kun Liang; Qingxia Li (IGARSS, 2024)

Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach. - Jiasheng Wu; Xin Liu; Dawei Cheng; Yi Ouyang; Xian Wu 001; Yefeng Zheng 001 (IJCAI, 2024)

Accelerating Handover in Mobile Satellite Network. - Jiasheng Wu; Shaojie Su; Xiong Wang; Jingjing Zhang; Yue Gao 001 (INFOCOM, 2024)

A content-adaptive video compression method based on transformer. - Heting Li; Dongsheng Jing; Ping He; Jiasheng Wu (Int. J. Comput. Sci. Eng., 2024)

FedMMD: A Federated weighting algorithm considering Non-IID and Local Model Deviation. - Kai Hu 006; Yaogen Li; Shuai Zhang 044; Jiasheng Wu; Sheng Gong; Shanshan Jiang; Liguo Weng (Expert Syst. Appl., 2024)

How to Allocate Resources in Cloud-Native Networks Towards 6G. - Jiasheng Wu; Yue Gao 001; Lin Wang; Jingjing Zhang; Dapeng Oliver Wu (IEEE Netw., 2024)

Joint Retrieval of Multiple Species of Ice Hydrometeor Parameters from Millimeter and Submillimeter Wave Brightness Temperature Based on Convolutional Neural Networks. - Ke Chen 014; Jiasheng Wu; Yingying Chen (Remote. Sens., 2024)

SkyOctopus: Enabling Low-Latency Mobile Satellite Network Through Multiple Anchors. - Shaojie Su; Jiasheng Wu; Zijie Ying; Zhiyuan Zhao; Xiangyu Jia; Wenjun Zhu; Yue Gao 001 (INFOCOM, 2025)

SFL-LEO: Asynchronous Split-Federated Learning Design for LEO Satellite-Ground Network Framework. - Jiasheng Wu; Jingjing Zhang; Zheng Lin; Zhe Chen; Xiong Wang; Wenjun Zhu; Yue Gao 001 (CoRR, 2025)

PHandover: Parallel Handover in Mobile Satellite Network. - Jiasheng Wu; Shaojie Su; Wenjun Zhu; Xiong Wang; Jingjing Zhang; Xingqiu He; Yue Gao 001 (CoRR, 2025)

An Area-Energy-Efficient 64-2048 Point FFT With Approximate Plane-Fitting Complex Multipliers. - Weiwei Shi 001; Jiasheng Wu; Yida Yuan; Zhihong Mo; Chaoyuan Wu; Jiangwei He (IEEE Trans. Very Large Scale Integr. Syst., 2025)