Course Concept Extraction in MOOC via Explicit/Implicit Representation. - Xiaochen Wang 002; Wenzheng Feng; Jie Tang 001; Qingyang Zhong (DSC, 2018)

MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs. - Jifan Yu; Gan Luo; Tong Xiao; Qingyang Zhong; Yuquan Wang; Wenzheng Feng; Junyi Luo; Chenyu Wang; Lei Hou 001; Juanzi Li; Zhiyuan Liu 001; Jie Tang 001 (ACL, 2020)

MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs. - Jifan Yu; Yuquan Wang; Qingyang Zhong; Gan Luo; Yiming Mao 005; Kai Sun; Wenzheng Feng; Wei Xu 017; Shulin Cao; Kaisheng Zeng; Zijun Yao 002; Lei Hou 001; et al. (CIKM, 2021)

Controllable Generation from Pre-trained Language Models via Inverse Prompting. - Xu Zou 001; Da Yin; Qingyang Zhong; Hongxia Yang; Zhilin Yang 001; Jie Tang 001 (KDD, 2021)

Towards a General Pre-training Framework for Adaptive Learning in MOOCs. - Qingyang Zhong; Jifan Yu; Zheyuan Zhang; Yiming Mao 005; Yuquan Wang; Yankai Lin; Lei Hou 001; Juanzi Li; Jie Tang 001 (CoRR, 2022)

MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs. - Jifan Yu; Mengying Lu; Qingyang Zhong; Zijun Yao 002; Shangqing Tu; Zhengshan Liao; Xiaoya Li 002; Manli Li; Lei Hou 001; Hai-Tao Zheng 002; Juanzi Li; Jie Tang 001 (SIGIR, 2023)