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Ming Liu
Ming Liu
NLP/ML Reseacher/Engineer
Verified email at deakin.edu.au - Homepage
Title
Cited by
Cited by
Year
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
832018
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
602022
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
602021
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
532020
Learning to actively learn neural machine translation
M Liu, W Buntine, G Haffari
Conference on Natural Language Learning 2018, 334-344, 2018
512018
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
502014
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
382020
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
382020
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
282021
Learning how to active learn by dreaming
M Liu, T Vu, D Phung, G Haffari
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
222019
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
212015
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
192022
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
192017
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
182022
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
162020
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
162019
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
142023
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
142021
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
132021
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
112022
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Articles 1–20