Exploring N-gram Features in Clickstream Data for MOOC Learning Achievement Prediction. - Xiao Li 039; Ting Wang 009; Huaimin Wang (DASFAA Workshops, 2017)

Understanding User Interests Acquisition in Personalized Online Course Recommendation. - Xiao Li 039; Ting Wang 009; Huaimin Wang; Jintao Tang (APWeb/WAIM Workshops, 2018)

Improving Deep Item-Based Collaborative Filtering with Bayesian Personalized Ranking for MOOC Course Recommendation. - Xiao Li 039; Xiang Li; Jintao Tang; Ting Wang 009; Yang Zhang; Hongyi Chen (KSEM (1), 2020)

ADKT: Adaptive Deep Knowledge Tracing. - Liangliang He; Jintao Tang; Xiao Li 039; Ting Wang 009 (WISE (1), 2020)

EDKT: An Extensible Deep Knowledge Tracing Model for Multiple Learning Factors. - Liangliang He; Xiao Li 039; Jintao Tang; Ting Wang 009 (DASFAA (1), 2021)

Constructing an Educational Knowledge Graph with Concepts Linked to Wikipedia. - Fu-Rong Dang; Jintao Tang; Kunyuan Pang; Ting Wang 009; Shasha Li 001; Xiao Li 039 (J. Comput. Sci. Technol., 2021)

TagNN: A Code Tag Generation Technology for Resource Retrieval from Open-Source Big Data. - Lingbin Zeng; Xin Guo; Cheng Yang 004; Yao Lu 003; Xiao Li 039 (Wirel. Commun. Mob. Comput., 2021)

Multi-type factors representation learning for deep learning-based knowledge tracing. - Liangliang He; Jintao Tang; Xiao Li 039; Pancheng Wang; Feng Chen; Ting Wang 009 (World Wide Web, 2022)

Integrating fine-grained attention into multi-task learning for knowledge tracing. - Liangliang He; Xiao Li 039; Pancheng Wang; Jintao Tang; Ting Wang 009 (World Wide Web (WWW), 2023)

MAN: Memory-augmented Attentive Networks for Deep Learning-based Knowledge Tracing. - Liangliang He; Xiao Li 039; Pancheng Wang; Jintao Tang; Ting Wang 009 (ACM Trans. Inf. Syst., 2024)