| Learning how to actively learn: A deep imitation learning approach M Liu, W Buntine, G Haffari Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 83 | 2018 |
| Federated learning meets natural language processing: A survey M Liu, S Ho, M Wang, L Gao, Y Jin, H Zhang arXiv preprint arXiv:2107.12603, 2021 | 67 | 2021 |
| An empirical survey on long document summarization: Datasets, models, and metrics HY Koh, J Ju, M Liu, S Pan ACM computing surveys 55 (8), 1-35, 2022 | 66 | 2022 |
| Summpip: Unsupervised multi-document summarization with sentence graph compression J Zhao, M Liu, L Gao, Y Jin, L Du, H Zhao, H Zhang, G Haffari Proceedings of the 43rd international acm sigir conference on research and …, 2020 | 56 | 2020 |
| Learning to actively learn neural machine translation M Liu, W Buntine, G Haffari Conference on Natural Language Learning 2018, 334-344, 2018 | 52 | 2018 |
| 基于深度学习的微博情感分析 梁军， 柴玉梅， 原慧斌， 昝红英， 刘铭 中文信息学报 28 (5), 155-161, 2014 | 50 | 2014 |
| Multi-label few/zero-shot learning with knowledge aggregated from multiple label graphs J Lu, L Du, M Liu, J Dipnall arXiv preprint arXiv:2010.07459, 2020 | 39 | 2020 |
| Transformer over pre-trained transformer for neural text segmentation with enhanced topic coherence K Lo, Y Jin, W Tan, M Liu, L Du, W Buntine arXiv preprint arXiv:2110.07160, 2021 | 29 | 2021 |
| Learning how to active learn by dreaming T Vu, M Liu, D Phung, G Haffari Proceedings of the 57th annual meeting of the Association for Computational …, 2019 | 23 | 2019 |
| A self-adaptive hidden markov model for emotion classification in chinese microblogs L Liu, D Luo, M Liu, J Zhong, Y Wei, L Sun Mathematical problems in engineering 2015, 2015 | 23 | 2015 |
| Graph intelligence enhanced bi-channel insider threat detection W Hong, J Yin, M You, H Wang, J Cao, J Li, M Liu International Conference on Network and System Security, 86-102, 2022 | 20 | 2022 |
| How Far are We from Robust Long Abstractive Summarization? HY Koh, J Ju, H Zhang, M Liu, S Pan EMNLP 2022, 2022 | 19 | 2022 |
| Leveraging linguistic resources for improving neural text classification M Liu, G Haffari, W Buntine, M Ananda-Rajah Proceedings of the australasian language technology association workshop …, 2017 | 19 | 2017 |
| Scisummpip: An unsupervised scientific paper summarization pipeline J Ju, M Liu, L Gao, S Pan arXiv preprint arXiv:2010.09190, 2020 | 16 | 2020 |
| Closing the gap in surveillance and audit of invasive mold diseases for antifungal stewardship using machine learning D Baggio, T Peel, AY Peleg, S Avery, M Prayaga, M Foo, G Haffari, M Liu, ... Journal of Clinical Medicine 8 (9), 1390, 2019 | 16 | 2019 |
| Prototype-guided memory replay for continual learning S Ho, M Liu, L Du, L Gao, Y Xiang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 15 | 2023 |
| Neural attention-aware hierarchical topic model Y Jin, H Zhao, M Liu, L Du, W Buntine arXiv preprint arXiv:2110.07161, 2021 | 14 | 2021 |
| Leveraging information bottleneck for scientific document summarization J Ju, M Liu, HY Koh, Y Jin, L Du, S Pan arXiv preprint arXiv:2110.01280, 2021 | 14 | 2021 |
| Mulan: A multiple residual article-wise attention network for legal judgment prediction J Chen, L Du, M Liu, X Zhou Transactions on Asian and Low-Resource Language Information Processing 21 (4 …, 2022 | 11 | 2022 |
| A graph empowered insider threat detection framework based on daily activities W Hong, J Yin, M You, H Wang, J Cao, J Li, M Liu, C Man ISA transactions 141, 84-92, 2023 | 10 | 2023 |
Lan DuFaculty of IT, Monash UniversityVerified email at monash.edu
