Zikun Yang

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
Breaking transmission barriers among provinces: A unified power system planning in China to achieve carbon neutrality.
Comput. Ind. Eng., 2026

2025
Deep-Variational-Inference-Learning Detection for Cell-Free Massive MIMO With Quantization Error.
IEEE Trans. Veh. Technol., June, 2025

UAV Detection Based on OTFS ISAC System.
Proceedings of the 101st IEEE Vehicular Technology Conference, 2025

2024
A benchmark study on current GWAS models in admixed populations.
Briefings Bioinform., January, 2024

MIB-Net: Balance the mutual information flow in deep learning network for multi-dimensional segmentation of COVID-19 CT images.
Biomed. Signal Process. Control., 2024

Multiomics-integrated deep language model enables <i>in silico</i> genome-wide detection of transcription factor binding site in unexplored biosamples.
Bioinform., 2024

2023
A Joint Model Extraction and Data Detection Framework for IRS-NOMA System.
IEEE Trans. Signal Process., 2023

2021
A semisupervised model to predict regulatory effects of genetic variants at single nucleotide resolution using massively parallel reporter assays.
Bioinform., 2021

2020
FamilyStories: Asynchronous Audio Storytelling over Distance.
Proceedings of the Companion Publication of the 2020 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2020

FamilyStories: Asynchronous Audio Storytelling for Family Members Across Time Zones.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019
Predicting Traffic Flow Based on Encoder-Decoder Framework.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2019

2018
Predicting Short-Term Electricity Demand by Combining the Advantages of ARMA and XGBoost in Fog Computing Environment.
Wirel. Commun. Mob. Comput., 2018

Predicting Duration of Traffic Accidents Based on Ensemble Learning.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2018


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