Predicting Duration of Traffic Accidents Based on Ensemble Learning. - Lina Shan; Zikun Yang; Huan Zhang; Ruyi Shi; Li Kuang (CollaborateCom, 2018)

Predicting Short-Term Electricity Demand by Combining the Advantages of ARMA and XGBoost in Fog Computing Environment. - Chuanbin Li; Xiaosen Zheng; Zikun Yang; Li Kuang (Wirel. Commun. Mob. Comput., 2018)

Predicting Traffic Flow Based on Encoder-Decoder Framework. - Xiaosen Zheng; Zikun Yang; Liwen Liu; Li Kuang (CollaborateCom, 2019)

FamilyStories: Asynchronous Audio Storytelling for Family Members Across Time Zones. - Yasamin Heshmat; Carman Neustaedter; Kyle McCaffrey; William Odom; Ron Wakkary; Zikun Yang (CHI, 2020)

FamilyStories: Asynchronous Audio Storytelling over Distance. - Yasamin Heshmat; Carman Neustaedter; Kyle McCaffrey; Carolyn Yip; William Odom; Ron Wakkary; Zikun Yang (CSCW Companion, 2020)

A Joint Model Extraction and Data Detection Framework for IRS-NOMA System. - Zikun Yang; Feng Li 011; Dou Zhang (IEEE Trans. Signal Process., 2023)

A benchmark study on current GWAS models in admixed populations. - Zikun Yang; Basilio Cieza; Dolly Reyes-Dumeyer; Rosa Montesinos; Marcio Soto-Añari; Nilton Custodio; Giuseppe Tosto (Briefings Bioinform., 2023)

MIB-Net: Balance the mutual information flow in deep learning network for multi-dimensional segmentation of COVID-19 CT images. - Zikun Yang; Wenbo Qi; Shing-Chow Chan; Ho-Chun Wu 001 (Biomed. Signal Process. Control., 2024)

Deep-Variational-Inference-Learning Detection for Cell-Free Massive MIMO With Quantization Error. - Feng Li 011; Dou Zhang; Zikun Yang; Honglin Li (IEEE Trans. Veh. Technol., 2025)