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Keywords

Natural Language Processing; Machine Learning

Countries

Australia

Biography

Lecturer in Deakin University, Australia.
Research interests include Natural Language Processing, Machine Learning.

Activities

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Employment (1)

Deakin University: Burwood, Victoria, AU

2019-05-01 to 2021-10-31 | Research Fellow (School of IT)
Employment
Source: Self-asserted source
Ming Liu

Education and qualifications (1)

Monash University: VIC, VIC, AU

2015-08-26 to 2019-04-01 | PhD (Faculty of IT)
Education
Source: Self-asserted source
Ming Liu

Professional activities (1)

Association for Computational Linguistics: Stroudsburg, Pennsylvania, US

Membership
Source: Self-asserted source
Ming Liu

Works (46)

ICT: Invisible Computable Trigger Backdoor Attacks in Transfer Learning

IEEE Transactions on Consumer Electronics
2024 | Journal article
DOI: 10.1109/TCE.2024.3476313
Contributors: Xiang Chen; Bo Liu; Shaofeng Zhao; Ming Liu; Hui Xu; Zhanbo Li; Zhigao Zheng
Source: check_circle
Crossref

A graph empowered insider threat detection framework based on daily activities

ISA transactions
2023 | Journal article
DOI: 10.1016/j.isatra.2023.06.030
Contributors: Hong, Wei; Yin, Jiao; You, Mingshan; Wang, Hua; Cao, Jinli; Li, Jianxin; Liu, Ming; Man, Chengyuan
Source: Self-asserted source
Ming Liu
grade
Preferred source (of 2)‎

A Survey on Out-of-Distribution Evaluation of Neural NLP Models

IJCAI 2023 Survey Track
2023 | Journal article
Contributors: Li, Xinzhe; Liu, Ming; Gao, Shang; Buntine, Wray
Source: Self-asserted source
Ming Liu

An Empirical Study on Active Learning for Multi-label Text Classification

European Association of Computational Linguistics
2023 | Conference paper
Contributors: Wang, Mengqi; Liu, Ming
Source: Self-asserted source
Ming Liu

Can Pretrained Language Models Derive Correct Semantics from Corrupt Subwords under Noise?

Proceedings of 2023 Association of Computational Linguistics
2023 | Journal article
Contributors: Li, Xinzhe; Liu, Ming; Gao, Shang
Source: Self-asserted source
Ming Liu

DeakinNLP at ProbSum 2023: Clinical Progress Note Summarization with Rules and Language Models

The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks
2023 | Conference paper
Contributors: Liu, Ming; Zhang, Dan; Tan, Weicong; Zhang, He
Source: Self-asserted source
Ming Liu

Leveraging Natural Language Processing and Clinical Notes for Dementia Detection

Proceedings of 2023 Association of Computational Linguistics
2023 | Conference paper
Contributors: Liu, Ming; Beare, Richard; Collyer, Taya; Andrew, Nadine; Srikanth, Velandai
Source: Self-asserted source
Ming Liu

Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal Data

arXiv preprint arXiv:2307.00456
2023 | Journal article
Contributors: Li, Xinzhe; Liu, Ming; Gao, Shang
Source: Self-asserted source
Ming Liu

Prototype-Guided Memory Replay for Continual Learning

IEEE Transactions on Neural Networks and Learning Systems
2023 | Journal article
DOI: 10.1109/TNNLS.2023.3246049
Contributors: Ho, Stella; Liu, Ming; Du, Lan; Gao, Longxiang; Xiang, Yong
Source: Self-asserted source
Ming Liu
grade
Preferred source (of 2)‎

Recent Advances in Hierarchical Multi-label Text Classification: A Survey

arXiv preprint arXiv:2307.16265
2023 | Journal article
Contributors: Liu, Rundong; Liang, Wenhan; Luo, Weijun; Song, Yuxiang; Zhang, He; Xu, Ruohua; Li, Yunfeng; Liu, Ming
Source: Self-asserted source
Ming Liu

An Empirical Survey on Long Document Summarization: Datasets, Models, and Metrics

ACM Computing Surveys
2023-08-31 | Journal article
DOI: 10.1145/3545176
Contributors: Huan Yee Koh; Jiaxin Ju; Ming Liu; Shirui Pan
Source: check_circle
Crossref

An Empirical Survey on Long Document Summarization: Datasets, Models and Metrics

ACM Journal of the ACM (JACM)
2022 | Journal article
Contributors: Koh, Huan Yee; Ju, Jiaxin; Liu, Ming; Pan, Shirui
Source: Self-asserted source
Ming Liu

BiDKT: Deep Knowledge Tracing with BERT

International Conference on Ad Hoc Networks, International Conference on Testbeds and Research Infrastructures
2022 | Conference paper
Source: Self-asserted source
Ming Liu

Graph intelligence enhanced bi-channel insider threat detection

International Conference on Network and System Security
2022 | Conference paper
DOI: 10.1007/978-3-031-23020-2_5
Contributors: Hong, Wei; Yin, Jiao; You, Mingshan; Wang, Hua; Cao, Jinli; Li, Jianxin; Liu, Ming
Source: Self-asserted source
Ming Liu
grade
Preferred source (of 2)‎

How Far are We from Robust Long Abstractive Summarization?

2022 | Conference paper
Contributors: Koh, Huan Yee; Ju, Jiaxin; Zhang, He; Liu, Ming; Pan, Shirui
Source: Self-asserted source
Ming Liu

Mulan: A Multiple Residual Article-Wise Attention Network for Legal Judgment Prediction

Transactions on Asian and Low-Resource Language Information Processing
2022 | Journal article
DOI: 10.1145/3503157
Source: Self-asserted source
Ming Liu
grade
Preferred source (of 3)‎

Overview of NLPCC2022 Shared Task 5 Track 1: Multi-label Classification for Scientific Literature

CCF International Conference on Natural Language Processing and Chinese Computing
2022 | Conference paper
Contributors: Liu, Ming; Zhang, He; Tian, Yangjie; Zong, Tianrui; Cai, Borui; Xu, Ruohua; Li, Yunfeng
Source: Self-asserted source
Ming Liu

Overview of nlpcc2022 shared task 5 track 2: Named entity recognition

CCF International Conference on Natural Language Processing and Chinese Computing
2022 | Conference paper
Contributors: Cai, Borui; Zhang, He; Liu, Fenghong; Liu, Ming; Zong, Tianrui; Chen, Zhe; Li, Yunfeng
Source: Self-asserted source
Ming Liu

Semi-supervised Continual Learning with Meta Self-training

Proceedings of the 31st ACM International Conference on Information & Knowledge Management
2022 | Conference paper
Contributors: Ho, Stella; Liu, Ming; Du, Lan; Li, Yunfeng; Gao, Longxiang; Gao, Shang
Source: Self-asserted source
Ming Liu

BiDKT: Deep knowledge tracing with BERT

International Conference on Ad Hoc Networks
2021 | Conference paper
Contributors: Tan, Weicong; Jin, Yuan; Liu, Ming; Zhang, He
Source: Self-asserted source
Ming Liu

Exploring the Vulnerability of Natural Language Processing Models via Universal Adversarial Texts

2021 | Conference paper
Contributors: Li, Xinzhe; Liu, Ming; Ma, Xingjun; Gao, Longxiang
Source: Self-asserted source
Ming Liu

Federated learning meets natural language processing: A survey

ACM Computing Survey(JACM) 2021
2021 | Journal article
Contributors: Liu, Ming; Ho, Stella; Wang, Mengqi; Gao, Longxiang; Jin, Yuan; Zhang, He
Source: Self-asserted source
Ming Liu

Fine Grained Human Evaluation for English-to-Chinese Machine Translation: A Case Study on Scientific Text

2021 | Journal article
Contributors: Liu, Ming; Zhang, He; Wu, Guanhao
Source: Self-asserted source
Ming Liu

Fine Grained Human Evaluation for English-to-Chinese Machine Translation: A Case Study on Scientific Text

IEEE/ACM Transactions on Audio, Speech, and Language Processing
2021 | Journal article
Source: Self-asserted source
Ming Liu

Leveraging Information Bottleneck for Scientific Document Summarization

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
2021 | Conference paper
Contributors: Ju, Jiaxin; Liu, Ming; Koh, Huan Yee; Jin, Yuan; Du, Lan; Pan, Shirui
Source: Self-asserted source
Ming Liu

Neural Attention-Aware Hierarchical Topic Model

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
2021 | Conference paper
Contributors: Jin, Yuan; Zhao, He; Liu, Ming; Du, Lan; Buntine, Wray
Source: Self-asserted source
Ming Liu

Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
2021 | Conference paper
Contributors: Lo, Kelvin; Jin, Yuan; Tan, Weicong; Liu, Ming; Du, Lan; Buntine, Wray
Source: Self-asserted source
Ming Liu

Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data

Data Mining and Knowledge Discovery
2021 | Journal article
Contributors: Jin, Yuan; Liu, Ming; Li, Yunfeng; Xu, Ruohua; Du, Lan; Gao, Longxiang; Xiang, Yong
Source: Self-asserted source
Ming Liu

Leveraging Cross Feedback of User and Item Embeddings for Variational Autoencoder based Collaborative Filtering

2020 | Journal article
Contributors: Jin, Yuan; Zhao, He; Liu, Ming; Du, Lan; Li, Yunfeng; Xu, Ruohua; Gao, Longxiang
Source: Self-asserted source
Ming Liu

Leveraging Cross Feedback of User and Item Embeddings with Attention for Variational Autoencoder based Collaborative Filtering

arXiv preprint arXiv:2002.09145
2020 | Journal article
Contributors: Jin, Yuan; Zhao, He; Liu, Ming; Zhu, Ye; Du, Lan; Gao, Longxiang; Zhang, He; Li, Yunfeng
Source: Self-asserted source
Ming Liu

Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing
2020 | Conference paper
Contributors: Lu, Jueqing; Du, Lan; Liu, Ming; Dipnall, Joanna
Source: Self-asserted source
Ming Liu

SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline

Proceedings of the First Workshop on Scholarly Document Processing
2020 | Conference paper
Contributors: Ju, Jiaxin; Liu, Ming; Gao, Longxiang; Pan, Shirui
Source: Self-asserted source
Ming Liu

Summpip: Unsupervised multi-document summarization with sentence graph compression

Proceedings of the 43rd international acm sigir conference on research and development in information retrieval
2020 | Conference paper
Contributors: Zhao, Jinming; Liu, Ming; Gao, Longxiang; Jin, Yuan; Du, Lan; Zhao, He; Zhang, He; Haffari, Gholamreza
Source: Self-asserted source
Ming Liu

Closing the gap in surveillance and audit of invasive mold diseases for antifungal stewardship using machine learning

Journal of Clinical Medicine
2019 | Journal article
Contributors: Baggio, Diva; Peel, Trisha; Peleg, Anton Y; Avery, Sharon; Prayaga, Madhurima; Foo, Michelle; Haffari, Gholamreza; Liu, Ming; Bergmeir, Christoph; Ananda-Rajah, Michelle
Source: Self-asserted source
Ming Liu

Learning how to active learn by dreaming

Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
2019 | Conference paper
Contributors: Vu, Thuy; Liu, Ming; Phung, Dinh; Haffari, Gholamreza
Source: Self-asserted source
Ming Liu

Local Matrix Factorization with Social Network Embedding

Journal of Combinatorial Optimization
2019 | Journal article
Contributors: Jinmao, Xu; Daofu, Gong; Fenlin, Liu; Qiuyan, Jiang; Ming, Liu
Source: Self-asserted source
Ming Liu

Weak Supervision and Active Learning for Natural Language Processing

2019 | Dissertation or Thesis
Contributors: Liu, Ming
Source: Self-asserted source
Ming Liu

Weak Supervision and Active Learning for Natural Language Processing

2019 | Dissertation or Thesis
Source: Self-asserted source
Ming Liu

Deep learning based image analysis of fungal pneumonia in chest computed tomography in haematology patients

International Immunocompromised Host Society Symposium
2018 | Conference paper
Contributors: Ananda Rajah, MR; Tang, T; Josh, H; Ellis, S; Kam, A; Varma, DK; Haffari, G; M, Liu; Seah, J; Bergmeir, C et al.
Source: Self-asserted source
Ming Liu

Learning how to actively learn: A deep imitation learning approach

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
2018 | Conference paper
Contributors: Liu, Ming; Buntine, Wray; Haffari, Gholamreza
Source: Self-asserted source
Ming Liu

Learning to actively learn neural machine translation

Proceedings of the 22nd Conference on Computational Natural Language Learning
2018 | Conference paper
Contributors: Liu, Ming; Buntine, Wray; Haffari, Gholamreza
Source: Self-asserted source
Ming Liu

Leveraging linguistic resources for improving neural text classification

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
2017 | Conference paper
Contributors: Liu, Ming; Haffari, Gholamreza; Buntine, Wray; Ananda-Rajah, Michelle
Source: Self-asserted source
Ming Liu

Learning cascaded latent variable models for biomedical text classification

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics
2016 | Conference paper
Contributors: Liu, Ming; Haffari, Gholamreza; Buntine, Wray
Source: Self-asserted source
Ming Liu

网络文本情感新词发现及情感关键句抽取判定研究

2015 | Supervised student publication
Contributors: 刘铭
Source: Self-asserted source
Ming Liu

基于 SVM 与 RNN 的文本情感关键句判定与抽取

山东大学学报 (理学版)
2014 | Journal article
Contributors: 刘铭; 昝红英; 原慧斌
Source: Self-asserted source
Ming Liu

基于深度学习的微博情感分析

中文信息学报
2014 | Journal article
Contributors: 梁军; 柴玉梅; 原慧斌; 昝红英; 刘铭
Source: Self-asserted source
Ming Liu
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