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Ming Liu
Ming Liu
Lecturer, Deakin University; NLP Engineer, Australia National Center for Healthy Ageing
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
472018
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
442014
Learning to actively learn neural machine translation
M Liu, W Buntine, G Haffari
Proceedings of the 22nd Conference on Computational Natural Language …, 2018
382018
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
222020
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
162020
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
162020
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
142017
Federated learning meets natural language processing: A survey
M Liu, S Ho, M Wang, L Gao, Y Jin, H Zhang
ACM Journal of the ACM (JACM), 2021
112021
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
92020
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
92019
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
82019
基于 SVM 与 RNN 的文本情感关键句判定与抽取
刘铭, 昝红英, 原慧斌
山东大学学报 (理学版) 49 (11), 68-73, 2014
32014
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
22021
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
22021
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
22021
Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data
Y Jin, M Liu, Y Li, R Xu, L Du, L Gao, Y Xiang
Data Mining and Knowledge Discovery 35 (2), 505-532, 2021
22021
Learning cascaded latent variable models for biomedical text classification
M Liu, G Haffari, W Buntine
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
22016
BiDKT: Deep Knowledge Tracing with BERT
W Tan, Y Jin, M Liu, H Zhang
International Conference on Ad Hoc Networks, International Conference on …, 2022
12022
Weak Supervision and Active Learning for Natural Language Processing
M Liu
Monash University, 2019
12019
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
2022
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Articles 1–20