Fast random graph generation S Nobari, X Lu, P Karras, S Bressan Proceedings of the 14th international conference on extending database …, 2011 | 93 | 2011 |
Fast identity anonymization on graphs X Lu, Y Song, S Bressan Database and Expert Systems Applications: 23rd International Conference …, 2012 | 78 | 2012 |
Sampling connected induced subgraphs uniformly at random X Lu, S Bressan Scientific and Statistical Database Management: 24th International …, 2012 | 51 | 2012 |
Deep knowledge tracing with convolutions S Yang, M Zhu, J Hou, X Lu arXiv preprint arXiv:2008.01169, 2020 | 26 | 2020 |
Gypsum: learning hybrid representations for code summarization Y Wang, Y Dong, X Lu, A Zhou Proceedings of the 30th IEEE/ACM International Conference on Program …, 2022 | 25 | 2022 |
On the privacy and utility of anonymized social networks Y Song, S Nobari, X Lu, P Karras, S Bressan Proceedings of the 13th International Conference on Information Integration …, 2011 | 17 | 2011 |
An effective and efficient parallel approach for random graph generation over gpus S Bressan, A Cuzzocrea, P Karras, X Lu, SH Nobari Journal of Parallel and Distributed Computing 73 (3), 303-316, 2013 | 15 | 2013 |
Humming-query and reinforcement-learning based modeling approach for personalized music recommendation D Miao, X Lu, Q Dong, D Hong Procedia Computer Science 176, 2154-2163, 2020 | 13 | 2020 |
The configuration of networked publics on the web: evidence from the Greek Indignados movement X Lu, G Cheliotis, X Cao, Y Song, S Bressan Proceedings of the 4th Annual ACM Web Science Conference, 185-194, 2012 | 12 | 2012 |
Programming knowledge tracing: A comprehensive dataset and a new model R Zhu, D Zhang, C Han, M Gaol, X Lu, W Qian, A Zhou 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 298-307, 2022 | 11 | 2022 |
Cat-probing: A metric-based approach to interpret how pre-trained models for programming language attend code structure N Chen, Q Sun, R Zhu, X Li, X Lu, M Gao arXiv preprint arXiv:2210.04633, 2022 | 11 | 2022 |
An intelligent online judge system for programming training Y Dong, J Hou, X Lu Database Systems for Advanced Applications: 25th International Conference …, 2020 | 11 | 2020 |
Multi-task learning for paraphrase generation with keyword and part-of-speech reconstruction X Xie, X Lu, B Chen Findings of the Association for Computational Linguistics: ACL 2022, 1234-1243, 2022 | 7 | 2022 |
A simple, yet effective and efficient, sliding window sampling algorithm X Lu, WH Tok, C Raissi, S Bressan Database Systems for Advanced Applications: 15th International Conference …, 2010 | 7 | 2010 |
Enhancing programming knowledge tracing by interacting programming skills and student code M Zhu, S Han, P Yuan, X Lu LAK22: 12th International Learning Analytics and Knowledge Conference, 438-443, 2022 | 6 | 2022 |
A comparison of code embeddings and beyond S Han, DX Wang, W Li, X Lu arXiv preprint arXiv:2109.07173, 2021 | 6 | 2021 |
PIPE: Predicting Logical Programming Errors in Programming Exercises. D Miao, Y Dong, X Lu International Educational Data Mining Society, 2020 | 6 | 2020 |
Reliability of data collection methods in social media research G Cheliotis, X Lu, S Yi Proceedings of the International AAAI Conference on Web and Social Media 9 …, 2015 | 6 | 2015 |
Incremental algorithms for sampling dynamic graphs X Lu, TQ Phan, S Bressan Database and Expert Systems Applications: 24th International Conference …, 2013 | 6 | 2013 |
Deep knowledge tracing with learning curves S Yang, X Liu, H Su, M Zhu, X Lu 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 282-291, 2022 | 5 | 2022 |