A Grid CPU Availability Forecasting Tool for Windows. - Liang Hu 001; Dong Guo 002; Gaochao Xu; Xiaohui Wei 002; Bingxin Guo; Kuo Tang; Shengli Zhao (IASTED PDCS, 2005)

A cluster analysis selection strategy for supersaturated designs. - Peng Li; Shengli Zhao; Runchu Zhang (Comput. Stat. Data Anal., 2010)

On blocked resolution IV designs containing clear two-factor interactions. - Shengli Zhao; Pengfei Li; Min-Qian Liu (J. Complex., 2013)

A Fault-Tolerant Detection Fusion Strategy for Distributed Multisensor Systems. - Shengli Zhao; Jie Zhou (Int. J. Distributed Sens. Networks, 2016)

Uncertainty in Upscaling In Situ Soil Moisture Observations to Multiscale Pixel Estimations with Kriging at the Field Level. - Xiaohu Zhang; Wenjun Zuo; Shengli Zhao; Li Jiang 004; Linhai Chen; Yan Zhu 005 (ISPRS Int. J. Geo Inf., 2018)

On Construction of Optimal Two-Level Designs with Multi Block Variables. - Yuna Zhao; Shengli Zhao; Min-Qian Liu (J. Syst. Sci. Complex., 2018)

Cloud Security Solution Based on Software Defined Network. - Shengli Zhao; Zhaochan Li; Ning Cao 002 (CSS (1), 2019)

Profile Statistical Inference for Partially Linear Additive Models with a Diverging Number of Parameters. - Xiuli Wang; Shengli Zhao; Mingqiu Wang (J. Syst. Sci. Complex., 2019)

Statistical Detection of Weak Pulse Signal under Chaotic Noise Based on Elman Neural Network. - Liyun Su; Li Deng; Wanlin Zhu; Shengli Zhao (Wirel. Commun. Mob. Comput., 2020)

The Optimal Distributed Kalman Filtering Fusion With Linear Equality Constraint. - Hua Li; Shengli Zhao (IEEE Access, 2021)

Controlling individual and experimentwise error rates in replicated regular two-level factorial experiments. - Pengfei Li; Oludotun J. Akinlawon; Shengli Zhao (Commun. Stat. Simul. Comput., 2021)

Distributed Sensor Local Linear Fusion Detection of Weak Pulse Signal in Chaotic Background. - Liyun Su; Meini Li; Shengli Zhao; Ting Xie (J. Sensors, 2021)

Detection Fusion of Weak Signal under Chaotic Noise Based on Distributed System. - Shengli Zhao; Lizhi Zhang; Liyun Su (J. Sensors, 2021)

Detection of Weak Pulse Signal in Chaotic Noise Based on Improved Brain Emotional Learning Model and PSO-AGA. - Chen Dan 004; Shengli Zhao; Hua Li; Liyun Su (J. Sensors, 2022)

Weak Harmonic Signal Detecting in Chaotic Noise Based on Empirical Likelihood Ratio. - Liyun Su; Wanlin Zhu; Xiu Ling; Shengli Zhao (Wirel. Pers. Commun., 2022)

Optimal subsampling for least absolute relative error estimators with massive data. - Min Ren; Shengli Zhao; Mingqiu Wang (J. Complex., 2023)

PSR-LSTM model for weak pulse signal detection. - Liyun Su; Mingliang Yin; Shengli Zhao (Multim. Tools Appl., 2023)

A classification method of fuzzy semi-supervised support vector machines for the problems of imbalance. - Jing Quan 002; Shengli Zhao; Liyun Su; Lindai Lv (Int. J. Wavelets Multiresolution Inf. Process., 2024)

Nonparametric derivative estimation with bimodal kernels under correlated errors. - Deru Kong; Shengli Zhao; Wenwu Wang 002 (Comput. Stat., 2024)

Research on congestion rate of classified storage narrow channel picking system for IoT security. - Li Zhou 011; Xiaxia Niu; Shengli Zhao; Xiaoqing Zhao; Ning Cao 002; Jianrui Ding; Ruichao Wang (Wirel. Networks, 2024)

Subsampling for Big Data Linear Models with Measurement Errors. - Jiangshan Ju; Min-Qian Liu; Mingqiu Wang; Shengli Zhao (Stat. Comput., 2025)