Kaihong Zheng

According to our database, Kaihong Zheng authored at least 13 papers between 2020 and 2026.

Collaborative distances:

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

2026

Weighted Correlation Attention Network-Based Dual-Phase Federated Learning Framework for Image Recognition.

Lei Zhong, Kaihong Zheng, Xue-Jiao Jiang, Lu-Kun Zeng, Jia-Long Xu, Yuan Ai

IEEE Access, 2026

Federated Contrastive Graph Attention Neural Network With Correlation Embedding for Noisy Multi-Label Classification.

Lei Zhong, Xue-Jiao Jiang, Kaihong Zheng, Jia-Long Xu, Zheng Fu, Lei Gao, Sheng Li

IEEE Access, 2026

2025

PCN: Patch segmentation convolutional networks in time series forecasting tasks.

Jinfeng Wang, Kaihong Zheng, Yingjie Kuang, Wenzhong Wang

Knowl. Based Syst., 2025

2024

DDTCN: Decomposed dimension time-domain convolutional neural network along spatial dimensions for multiple long-term series forecasting.

Kaihong Zheng, Jinfeng Wang, Yunqiang Chen, Rongjin Jiang, Wenzhong Wang

Appl. Intell., April, 2024

Spatial Galloping Behavior of Iced Conductors under Multimodal Coupling.

Fujiang Cui, Kaihong Zheng, Peng Liu, Han Wang

Sensors, February, 2024

2023

A Knowledge Graph Embedding Framework With Triple Semantics.

Yan Wang, Honghao Liang, Kaihong Zheng, Jingfeng Yang, Lukun Zeng, Qihang Gong, Sheng Li, Shangli Zhou

IEEE Access, 2023

2022

RPTD: Reliability-enhanced Privacy-preserving Truth Discovery for Mobile Crowdsensing.

Yuxian Liu, Fagui Liu, Hao-Tian Wu, Jingfeng Yang, Kaihong Zheng, Lingling Xu, Xingfu Yan, Jiankun Hu

J. Netw. Comput. Appl., 2022

EcoVis: visual analysis of industrial-level spatio-temporal correlations in electricity consumption.

Yong Xiao, Kaihong Zheng, Supaporn Lonapalawong, Wenjie Lu, Zexian Chen, Bin Qian, Tianye Zhang, Xin Wang, Wei Chen

Frontiers Comput. Sci., 2022

2021

Constructing Bi-Order-Transformer-CRF With Neural Cosine Similarity Function for Power Metering Entity Recognition.

Kaihong Zheng, Jingfeng Yang, Lukun Zeng, Qihang Gong, Sheng Li, Shangli Zhou

IEEE Access, 2021

Multivariate Extreme Learning Machine Based AutoEncoder for Electricity Consumption Series Clustering.

Kaihong Zheng, Jingfeng Yang, Qihang Gong, Shangli Zhou, Lukun Zeng, Sheng Li

IEEE Access, 2021

Named Entity Recognition in Electric Power Metering Domain Based on Attention Mechanism.

Kaihong Zheng, Lingyun Sun, Xin Wang, Shangli Zhou, Hanbin Li, Sheng Li, Lukun Zeng, Qihang Gong

IEEE Access, 2021

A Multi-Scale Electricity Consumption Prediction Algorithm Based on Time-Frequency Variational Autoencoder.

Kaihong Zheng, Peng Li, Shangli Zhou, Wenhan Zhang, Sheng Li, Lukun Zeng, Yingnan Zhang

IEEE Access, 2021

2020

Long-Short Term Echo State Network for Time Series Prediction.

Kaihong Zheng, Bin Qian, Sen Li, Yong Xiao, Wanqing Zhuang, Qianli Ma

IEEE Access, 2020