| What predicts student satisfaction with MOOCs: A gradient boosting trees supervised machine learning and sentiment analysis approach KF Hew, X Hu, C Qiao, Y Tang Computers & Education 145, 103724, 2020 | 403 | 2020 |
| Understanding student engagement in large-scale open online courses: A machine learning facilitated analysis of student’s reflections in 18 highly rated MOOCs KF Hew, C Qiao, Y Tang International Review of Research in Open and Distributed Learning 19 (3), 2018 | 129 | 2018 |
| UniTVelo: temporally unified RNA velocity reinforces single-cell trajectory inference M Gao, C Qiao, Y Huang Nature Communications 13 (1), 6586, 2022 | 60 | 2022 |
| Representation learning of RNA velocity reveals robust cell transitions C Qiao, Y Huang Proceedings of the National Academy of Sciences 118 (49), 2021 | 36 | 2021 |
| MQuad enables clonal substructure discovery using single cell mitochondrial variants AWC Kwok, C Qiao, R Huang, MH Sham, JWK Ho, Y Huang Nature Communications 13 (1), 1205, 2022 | 28 | 2022 |
| A neural knowledge graph evaluator: Combining structural and semantic evidence of knowledge graphs for predicting supportive knowledge in scientific QA C Qiao, X Hu Information Processing & Management 57 (6), 102309, 2020 | 25 | 2020 |
| Digitizing Dunhuang Cultural Heritage: A User Evaluation of Mogao Cave Panorama Digital Library X Hu, EMY Ho, C Qiao Journal of Data and Information Science 2 (3), 49-67, 2017 | 15 | 2017 |
| Weibo X Hu, C Qiao, KW Fu The SAGE Handbook of Social Media Research Methods, 2017 | 11 | 2017 |
| Discovering Student Behavior Patterns from Event Logs: Preliminary Results on A Novel Probabilistic Latent Variable Model C Qiao, X Hu 2018 IEEE 18th International Conference on Advanced Learning Technologies …, 2018 | 10 | 2018 |
| Text classification for cognitive domains: A case using lexical, syntactic and semantic features C Qiao, X Hu Journal of Information Science 45 (4), 516-528, 2019 | 9 | 2019 |
| A Joint Neural Network Model for Combining Heterogeneous User Data Sources: An Example of At‐Risk Student Prediction C Qiao, X Hu Journal of the Association for Information Science and Technology, 2020 | 7 | 2020 |
| How social instant messaging questions affect replies: a randomised controlled experiment Y Tang, KF Hew, X Yuan, C Qiao Behaviour & Information Technology 40 (16), 1727-1740, 2021 | 6 | 2021 |
| Reliable imputation of spatial transcriptomes with uncertainty estimation and spatial regularization C Qiao, Y Huang Patterns 5 (8), 2024 | 5 | 2024 |
| Measuring Knowledge Gaps in Student Responses by Mining Networked Representations of Texts C Qiao, X Hu Proceedings of the 9th International Conference on Learning Analytics …, 2019 | 4 | 2019 |
| New features in Wikiglass, a learning analytic tool for visualizing collaborative work on wikis X Hu, C Yang, C Qiao, X Lu, SKW Chu Proceedings of the Seventh International Learning Analytics & Knowledge …, 2017 | 4 | 2017 |
| 增强现实学具的开发与应用——以 “AR 电路学具” 为例 陈向东， 乔辰 中国电化教育, 105-110, 2014 | 3 | 2014 |
| Leveraging Semantic Facets for Automatic Assessment of Short Free Text Answers C Qiao, X Hu IEEE Transactions on Learning Technologies 16 (1), 26-39, 2022 | 2 | 2022 |
| The Development of an Augmented Reality Framework for Constructing Circuit Learning Aids C Qiao, X Chen International Conference on Hybrid Learning and Continuing Education, 140-151, 2014 | 1 | 2014 |
| A Machine Learning Approach for Understanding the Educational Foci and Technical Solutions of AIED H Liu, S Feng, C Qiao Proceedings of the Tenth ACM Conference on Learning@ Scale, 326-330, 2023 | | 2023 |
| International Review of Research in Open and Distributed Learning KF Hew, C Qiao, Y Tang | | |
Khe Foon HEW, TimothyBASc, MA, PhD, The University of Hong KongПодтвержден адрес электронной почты в домене hku.hk