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IEICE Trans

Ke XU

A Puzzle-Based BiLSTM Model for Accurate Supply Chain Demand Forecasting
Ke XU Junpeng LIU 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2026/04/01
Vol. E109-A  No. 4  pp. 818-828
Type of Manuscript:  PAPER
Category: Neural Networks and Bioengineering
Keyword: 
supply chain forecasting, demand prediction, deep learning, real-time adjustment, bidirectional long-term short-term memory, temporal feature alignment, predictive performance, 
 Summary | Full Text:PDF
A Puzzle-Based BiLSTM Model for Accurate Supply Chain Demand Forecasting
Ke XU Junpeng LIU 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2026/04/01
Vol. E109-A  No. 4  pp. 818-828
Type of Manuscript:  PAPER
Category: Neural Networks and Bioengineering
Keyword: 
supply chain forecasting, demand prediction, deep learning, real-time adjustment, bidirectional long-term short-term memory, temporal feature alignment, predictive performance, 
 Summary | Full Text:PDF
Improve the Prediction of Student Performance with Hint's Assistance Based on an Efficient Non-Negative Factorization
Ke XU Rujun LIU Yuan SUN Keju ZOU Yan HUANG Xinfang ZHANG 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2017/04/01
Vol. E100-D  No. 4  pp. 768-775
Type of Manuscript:  Special Section PAPER (Special Section on Data Engineering and Information Management)
Category: 
Keyword: 
student performance, hints, matrix factorization, non-negative matrix factorization, RSNMF, 
 Summary | Full Text:PDF