| Federated unlearning for on-device recommendation W Yuan, H Yin, F Wu, S Zhang, T He, H Wang Proceedings of the sixteenth ACM international conference on web search and …, 2023 | 89 | 2023 |
| CIRCLE: continual repair across programming languages W Yuan, Q Zhang, T He, C Fang, NQV Hung, X Hao, H Yin Proceedings of the 31st ACM SIGSOFT international symposium on software …, 2022 | 69 | 2022 |
| Interaction-level membership inference attack against federated recommender systems W Yuan, C Yang, QVH Nguyen, L Cui, T He, H Yin Proceedings of the ACM Web Conference 2023, 1053-1062, 2023 | 60 | 2023 |
| Fuzzy clustering of crowdsourced test reports for apps H Jiang, X Chen, T He, Z Chen, X Li ACM Transactions on Internet Technology (TOIT) 18 (2), 1-28, 2018 | 54 | 2018 |
| A spatial-temporal topic model for the semantic annotation of POIs in LBSNs T He, H Yin, Z Chen, X Zhou, S Sadiq, B Luo ACM Transactions on Intelligent Systems and Technology (TIST) 8 (1), 1-24, 2016 | 50 | 2016 |
| Manipulating federated recommender systems: Poisoning with synthetic users and its countermeasures W Yuan, QVH Nguyen, T He, L Chen, H Yin Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 36 | 2023 |
| Similarity analysis of law documents based on Word2vec C Xia, T He, W Li, Z Qin, Z Zou 2019 IEEE 19th International Conference on Software Quality, Reliability and …, 2019 | 23 | 2019 |
| Knowledge graph construction based on judicial data with social media H Lian, Z Qin, T He, B Luo 2017 14th Web Information Systems and Applications Conference (WISA), 225-227, 2017 | 22 | 2017 |
| A deep learning method for judicial decision support B Chen, Y Li, S Zhang, H Lian, T He 2019 IEEE 19th International Conference on Software Quality, Reliability and …, 2019 | 21 | 2019 |
| Predicting passengers in public transportation using smart card data M Dou, T He, H Yin, X Zhou, Z Chen, B Luo Databases Theory and Applications: 26th Australasian Database Conference …, 2015 | 18 | 2015 |
| Automatic test report augmentation to assist crowdsourced testing X Chen, H Jiang, Z Chen, T He, L Nie Frontiers of Computer Science 13, 943-959, 2019 | 17 | 2019 |
| Using case facts to predict accusation based on deep learning H Wang, T He, Z Zou, S Shen, Y Li 2019 IEEE 19th International Conference on Software Quality, Reliability and …, 2019 | 17 | 2019 |
| A unified framework for bug report assignment Y Zhao, T He, Z Chen International Journal of Software Engineering and Knowledge Engineering 29 …, 2019 | 15 | 2019 |
| Automated quality assessment for crowdsourced test reports of mobile applications X Chen, H Jiang, X Li, T He, Z Chen 2018 IEEE 25th International Conference on Software Analysis, Evolution and …, 2018 | 15 | 2018 |
| Improving neural question generation using deep linguistic representation W Yuan, T He, X Dai Proceedings of the Web Conference 2021, 3489-3500, 2021 | 14 | 2021 |
| Appt: Boosting automated patch correctness prediction via fine-tuning pre-trained models Q Zhang, C Fang, W Sun, Y Liu, T He, X Hao, Z Chen IEEE Transactions on Software Engineering, 2024 | 13 | 2024 |
| Using case facts to predict penalty with deep learning Y Li, T He, G Yan, S Zhang, H Wang Data Science: 5th International Conference of Pioneering Computer Scientists …, 2019 | 13 | 2019 |
| Boosting automated patch correctness prediction via pre-trained language model Q Zhang, C Fang, W Sun, Y Liu, T He, X Hao, Z Chen arXiv preprint arXiv:2301.12453, 2023 | 12 | 2023 |
| An empirical study on user-topic rating based collaborative filtering methods T He, Z Chen, J Liu, X Zhou, X Du, W Wang World Wide Web 20, 815-829, 2017 | 12 | 2017 |
| A systemic framework for crowdsourced test report quality assessment X Chen, H Jiang, X Li, L Nie, D Yu, T He, Z Chen Empirical Software Engineering 25, 1382-1418, 2020 | 11 | 2020 |
Hongzhi YinProfessor and ARC Future Fellow, University of QueenslandGeverifieerd e-mailadres voor uq.edu.au