An Efficient Adaptive Anticollision Algorithm Based on 4-Ary Pruning Query Tree. - Wei Zhang 139; Yajun Guo; Xueming Tang; Guohua Cui; Longkai Wu; Ying Mei (Int. J. Distributed Sens. Networks, 2013)

A Trajectory Privacy Model for Radio-Frequency Identification System. - Wei Zhang 139; Longkai Wu; Sanya Liu; Tao Huang 017; Yajun Guo; Chingfang Hsu (Wirel. Pers. Commun., 2016)

An Efficient Lightweight RFID Authentication Protocol with Strong Trajectory Privacy Protection. - Wei Zhang 139; Sanya Liu; Shengming Wang; Baolin Yi; Longkai Wu (Wirel. Pers. Commun., 2017)

A New Scalable Lightweight Grouping Proof Protocol for RFID systems. - Wei Zhang 139; Shiming Qin; Shengming Wang; Longkai Wu; Baolin Yi (Wirel. Pers. Commun., 2018)

An Interpretable Online Learner's Performance Prediction Model Based on Learning Analytics. - Wei Zhang 139; Yilin Zhou; Baolin Yi (ICETC, 2019)

Study on learning effect prediction models based on principal component analysis in MOOCs. - Wei Zhang 139; Shiming Qin; Baolin Yi; Peng Tian (Clust. Comput., 2019)

Deep Matrix Factorization With Implicit Feedback Embedding for Recommendation System. - Baolin Yi; Xiaoxuan Shen; Hai Liu 004; Zhaoli Zhang; Wei Zhang 139; Sannyuya Liu; Naixue Xiong (IEEE Trans. Ind. Informatics, 2019)

Infrared head pose estimation with multi-scales feature fusion on the IRHP database for human attention recognition. - Hai Liu 004; Xiang Wang; Wei Zhang 139; Zhaoli Zhang; Youfu Li 001 (Neurocomputing, 2020)

Deep Variational Matrix Factorization with Knowledge Embedding for Recommendation System. - Xiaoxuan Shen; Baolin Yi; Hai Liu 004; Wei Zhang 139; Zhaoli Zhang; Sannyuya Liu; Naixue Xiong (IEEE Trans. Knowl. Data Eng., 2021)

A Novel Knowledge Tracing Model Based on Collaborative Multi-Head Attention. - Wei Zhang 139; Kaiyuan Qu; Yahui Han; Longan Tan (ICIAI, 2022)

A CTR Prediction Model With Double Matrix-Level Cross-Features. - Wei Zhang 139; Yahui Han; Zhaobin Kang; Kaiyuan Qu (IEEE Access, 2022)

An analysis of learners' programming skills through data mining. - Wei Zhang 139; Xinyao Zeng; Jihan Wang; Daoyang Ming; Panpan Li (Educ. Inf. Technol., 2022)

Graph Attention Interaction Aggregation Network for Click-Through Rate Prediction. - Wei Zhang 139; Zhaobin Kang; Lingling Song; Kaiyuan Qu (Sensors, 2022)

A Computational Thinking Assessment Tool on Text- Based Programming. - Jihan Wang; Wei Zhang 139; Xinyao Zeng; Panpan Li (ICEIT, 2023)

Graph Attention Neural Network Model With Behavior Features for Knowledge Tracking. - Wei Zhang 139; Sen Hu; Kaiyuan Qu (IEEE Access, 2023)

Click-through rate prediction model integrating user interest and multi-head attention mechanism. - Wei Zhang 139; Yahui Han; Baolin Yi; Zhaoli Zhang (J. Big Data, 2023)