| 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 | 71 | 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 |
| Learning to actively learn neural machine translation M Liu, W Buntine, G Haffari Proceedings of the 22nd Conference on Computational Natural Language …, 2018 | 47 | 2018 |
| 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 | 44 | 2020 |
| Federated learning meets natural language processing: A survey M Liu, S Ho, M Wang, L Gao, Y Jin, H Zhang ACM Computing Survey(JACM) 2021, 2021 | 35 | 2021 |
| Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs J Lu, L Du, M Liu, J Dipnall Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 33 | 2020 |
| 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 | 33 | 2020 |
| An Empirical Survey on Long Document Summarization: Datasets, Models and Metrics HY Koh, J Ju, M Liu, S Pan ACM Journal of the ACM (JACM), 2022 | 24 | 2022 |
| 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 | 19 | 2019 |
| 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 Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 17 | 2021 |
| Leveraging linguistic resources for improving neural text classification M Liu, G Haffari, W Buntine, M Ananda-Rajah Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 17 | 2017 |
| SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline J Ju, M Liu, L Gao, S Pan Proceedings of the First Workshop on Scholarly Document Processing, 318-327, 2020 | 13 | 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 | 11 | 2019 |
| Leveraging Information Bottleneck for Scientific Document Summarization J Ju, M Liu, HY Koh, Y Jin, L Du, S Pan Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 10 | 2021 |
| 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 | 9 | 2022 |
| How Far are We from Robust Long Abstractive Summarization? HY Koh, J Ju, H Zhang, M Liu, S Pan Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 8 | 2022 |
| 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 | 8 | 2022 |
| Neural Attention-Aware Hierarchical Topic Model Y Jin, H Zhao, M Liu, L Du, W Buntine Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 7 | 2021 |
| 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 | 5 | 2023 |
| BiDKT: Deep knowledge tracing with BERT W Tan, Y Jin, M Liu, H Zhang International Conference on Ad Hoc Networks, 260-278, 2021 | 5 | 2021 |
Lan DuFaculty of IT, Monash UniversityVerified email at monash.edu
