Demand Forecasting by Using Support Vector Machine. - Yue Liu; Yafeng Yin; Junjun Gao; Chongli Tan (ICNC (3), 2007)

Wrapper Feature Selection Optimized SVM Model for Demand Forecasting. - Yue Liu; Yafeng Yin; Junjun Gao; Chongli Tan (ICYCS, 2008)

Selective and Heterogeneous SVM Ensemble for Demand Forecasting. - Yue Liu; Zhenjiang Liao; Yafeng Yin; Zaixia Teng; Junjun Gao; Bofeng Zhang (CIT, 2010)

Balanced-Sampling-Based Heterogeneous SVR Ensemble for Business Demand Forecasting. - Yue Liu; Wang Wei; Kang Wang; Zhenjiang Liao; Junjun Gao (ICIC (1), 2011)

Demand forecasting method based on adjacent substitution rate estimation by GA. - Yue Liu; Liu Yang; Zaixia Teng; Junjun Gao (CCIS, 2012)

Measurement-Based Multiplexing Mode Selection for Codebook-Based MIMO Systems. - Junjun Gao; Jianhua Zhang; Xiaofeng Tao (VTC Fall, 2013)

Wideband MIMO channel capacity analysis based on indoor channel measurement. - Junjun Gao; Jianhua Zhang; Xiaofeng Tao (WCNC, 2013)

Demand forecasting for footwear products using wavelet transform and Artificial Bee Colony algorithm optimized Polynomial Fitting. - Yue Liu; Wangwei Ju; Kang Wang; Junjun Gao (ICNC, 2015)

Architecture of Demand Forecast for Online Retailers in China Based on Big Data. - Luona Song; Tingjie Lv; Xia Chen 002; Junjun Gao (HCC, 2016)

Estimation of adjacent substitution rate based on clustering algorithm and its application. - Yue Liu; Pengfei Ren; Tianlu Zhao; Zhengkai Yang; Junjun Gao (ICNC-FSKD, 2016)

Product life cycle based demand forecasting by using artificial bee colony algorithm optimized two-stage polynomial fitting. - Liu Yue; Wangwei Ju; Jianguo Zhao; Junjun Gao; Zheng Jiazhou; Aiping Jiang (J. Intell. Fuzzy Syst., 2016)

Demand Chain Strategy and Chinese Firm Performance: Role of IT Analytic Capability and Product Life Cycle. - Bingfeng Bai; Junjun Gao; Weili Yin (Int. J. Inf. Syst. Supply Chain Manag., 2021)

Budgeted Influence Maximization via Boost Simulated Annealing in Social Networks. - Jianshe Wu; Junjun Gao; Hongde Zhu; Zulei Zhang (CoRR, 2022)

Mixed Entropy Model Enhanced Residual Attention Network for Remote Sensing Image Compression. - Junjun Gao; Qizhi Teng; Xiaohai He; Zhengxin Chen; Chao Ren 002 (Neural Process. Lett., 2023)