Estimating and Forecasting Network Traffic Performance Based on Statistical Patterns Observed in SNMP Data. - Kejia Hu; Alex Sim; Demetres Antoniades; Constantine Dovrolis (MLDM, 2013)

What SNMP Data Can Tell Us about Edge-to-Edge Network Performance. - Demetres Antoniades; Kejia Hu; Alex Sim; Constantine Dovrolis (PAM, 2013)

Product Life Cycle Data Set: Raw and Cleaned Data of Weekly Orders for Personal Computers. - Jason Acimovic; Francisco Erize; Kejia Hu; Douglas J. Thomas; Jan A. Van Mieghem (Manuf. Serv. Oper. Manag., 2019)

Forecasting New Product Life Cycle Curves: Practical Approach and Empirical Analysis. - Kejia Hu; Jason Acimovic; Francisco Erize; Douglas J. Thomas; Jan A. Van Mieghem (Manuf. Serv. Oper. Manag., 2019)

Predicting Invasive Disease-Free Survival for Early Stage Breast Cancer Patients Using Follow-Up Clinical Data. - Bo Fu 007; Pei Liu 008; Jie Lin; Ling Deng; Kejia Hu; Hong Zheng (IEEE Trans. Biomed. Eng., 2019)

Mapping Urban Heat Vulnerability of Extreme Heat in Hangzhou via Comparing Two Approaches. - Xue Liu; Wenze Yue; Xuchao Yang; Kejia Hu; Wei Zhang; Muyi Huang (Complex., 2020)

Tensor-based blind receivers for MIMO OFDM-NOMA System. - Kejia Hu; Hongyi Li; Di Zhao 001 (EITCE, 2021)

Brain Tumors Classification for MR images based on Attention Guided Deep Learning Model. - Yuhao Zhang; Shuhang Wang; Haoxiang Wu; Kejia Hu; Shufan Ji (EMBC, 2021)

The Golden Quantizer in Complex Dimension Two. - Hongyi Li; Kejia Hu; Di Zhao 001 (IEEE Commun. Lett., 2021)

Understanding Customer Retrials in Call Centers: Preferences for Service Quality and Service Speed. - Kejia Hu; Gad Allon; Achal Bassamboo (Manuf. Serv. Oper. Manag., 2022)

Service Chains' Operational Strategies: Standardization or Customization? Evidence from the Nursing Home Industry. - Lu Kong; Kejia Hu; Rohit Verma (Manuf. Serv. Oper. Manag., 2022)

Epitome: Pioneering an Experimental Platform for AI-Social Science Integration. - Jingjing Qu; Kejia Hu; Jun Zhu; Wenhao Li 001; Teng Wang; Zhiyun Chen; Yulei Ye; Chaochao Lu; Aimin Zhou; Xiangfeng Wang; James Evans (CoRR, 2025)