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2020 – today
- 2022
[j7]Kejia Hu
, Gad Allon, Achal Bassamboo:
Understanding Customer Retrials in Call Centers: Preferences for Service Quality and Service Speed. Manuf. Serv. Oper. Manag. 24(2): 1002-1020 (2022)- [j6]Lu Kong, Kejia Hu, Rohit Verma:
Service Chains' Operational Strategies: Standardization or Customization? Evidence from the Nursing Home Industry. Manuf. Serv. Oper. Manag. 24(6): 3099-3116 (2022) - 2021
- [j5]Hongyi Li, Kejia Hu, Di Zhao:
The Golden Quantizer in Complex Dimension Two. IEEE Commun. Lett. 25(10): 3249-3252 (2021) - [c4]Kejia Hu, Hongyi Li, Di Zhao:
Tensor-based blind receivers for MIMO OFDM-NOMA System. EITCE 2021: 260-264 - [c3]Yuhao Zhang, Shuhang Wang, Haoxiang Wu, Kejia Hu, Shufan Ji:
Brain Tumors Classification for MR images based on Attention Guided Deep Learning Model. EMBC 2021: 3233-3236 - [i1]Yuhao Zhang, Shuhang Wang, Haoxiang Wu, Kejia Hu, Shufan Ji:
Brain Tumors Classification for MR images based on Attention Guided Deep Learning Model. CoRR abs/2104.02331 (2021) - 2020
- [j4]Xue Liu, Wenze Yue, Xuchao Yang, Kejia Hu, Wei Zhang, Muyi Huang:
Mapping Urban Heat Vulnerability of Extreme Heat in Hangzhou via Comparing Two Approaches. Complex. 2020: 9717658:1-9717658:16 (2020)
2010 – 2019
- 2019
- [j3]Kejia Hu, Jason Acimovic, Francisco Erize, Douglas J. Thomas, Jan A. Van Mieghem:
Forecasting New Product Life Cycle Curves: Practical Approach and Empirical Analysis. Manuf. Serv. Oper. Manag. 21(1): 66-85 (2019) - [j2]Jason Acimovic, Francisco Erize, Kejia Hu, Douglas J. Thomas, Jan A. Van Mieghem:
Product Life Cycle Data Set: Raw and Cleaned Data of Weekly Orders for Personal Computers. Manuf. Serv. Oper. Manag. 21(1): 171-176 (2019) - [j1]Bo Fu, Pei Liu, Jie Lin, Ling Deng, Kejia Hu, Hong Zheng:
Predicting Invasive Disease-Free Survival for Early Stage Breast Cancer Patients Using Follow-Up Clinical Data. IEEE Trans. Biomed. Eng. 66(7): 2053-2064 (2019) - 2013
- [c2]Kejia Hu, Alex Sim, Demetres Antoniades, Constantine Dovrolis:
Estimating and Forecasting Network Traffic Performance Based on Statistical Patterns Observed in SNMP Data. MLDM 2013: 601-615 - [c1]Demetres Antoniades, Kejia Hu, Alex Sim, Constantine Dovrolis:
What SNMP Data Can Tell Us about Edge-to-Edge Network Performance. PAM 2013: 267-269
Coauthor Index
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