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Ming Liu
ORCID
Publication Activity (10 Years)
Years Active: 2016-2024
Publications (10 Years): 28
Top Topics
Text Classification
Tensor Factorization
Natural Language
Document Relationships Between Sentences
Top Venues
CoRR
ACL (1)
ALTA
EMNLP (1)
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Publications
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Stella Ho
,
Ming Liu
,
Lan Du
,
Longxiang Gao
,
Yong Xiang
Prototype-Guided Memory Replay for Continual Learning.
IEEE Trans. Neural Networks Learn. Syst.
35 (8) (2024)
Huan Yee Koh
,
Jiaxin Ju
,
Ming Liu
,
Shirui Pan
An Empirical Survey on Long Document Summarization: Datasets, Models, and Metrics.
ACM Comput. Surv.
55 (8) (2023)
Rundong Liu
,
Wenhan Liang
,
Weijun Luo
,
Yuxiang Song
,
He Zhang
,
Ruohua Xu
,
Yunfeng Li
,
Ming Liu
Recent Advances in Hierarchical Multi-label Text Classification: A Survey.
CoRR
(2023)
Wei Hong
,
Jiao Yin
,
Mingshan You
,
Hua Wang
,
Jinli Cao
,
Jianxin Li
,
Ming Liu
Graph Intelligence Enhanced Bi-Channel Insider Threat Detection.
NSS
(2022)
Junyi Chen
,
Lan Du
,
Ming Liu
,
Xiabing Zhou
Mulan: A Multiple Residual Article-Wise Attention Network for Legal Judgment Prediction.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
21 (4) (2022)
Huan Yee Koh
,
Jiaxin Ju
,
He Zhang
,
Ming Liu
,
Shirui Pan
How Far are We from Robust Long Abstractive Summarization?
CoRR
(2022)
Huan Yee Koh
,
Jiaxin Ju
,
Ming Liu
,
Shirui Pan
An Empirical Survey on Long Document Summarization: Datasets, Models and Metrics.
CoRR
(2022)
Yuan Jin
,
Ming Liu
,
Yunfeng Li
,
Ruohua Xu
,
Lan Du
,
Longxiang Gao
,
Yong Xiang
Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data.
Data Min. Knowl. Discov.
35 (2) (2021)
Jiaxin Ju
,
Ming Liu
,
Huan Yee Koh
,
Yuan Jin
,
Lan Du
,
Shirui Pan
Leveraging Information Bottleneck for Scientific Document Summarization.
EMNLP (Findings)
(2021)
Stella Ho
,
Ming Liu
,
Lan Du
,
Longxiang Gao
,
Yong Xiang
Prototypes-Guided Memory Replay for Continual Learning.
CoRR
(2021)
Yuan Jin
,
He Zhao
,
Ming Liu
,
Lan Du
,
Wray L. Buntine
Neural Attention-Aware Hierarchical Topic Model.
EMNLP (1)
(2021)
Jiaxin Ju
,
Ming Liu
,
Huan Yee Koh
,
Yuan Jin
,
Lan Du
,
Shirui Pan
Leveraging Information Bottleneck for Scientific Document Summarization.
CoRR
(2021)
Kelvin Lo
,
Yuan Jin
,
Weicong Tan
,
Ming Liu
,
Lan Du
,
Wray L. Buntine
Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence.
CoRR
(2021)
Yuan Jin
,
He Zhao
,
Ming Liu
,
Lan Du
,
Wray L. Buntine
Neural Attention-Aware Hierarchical Topic Model.
CoRR
(2021)
Ming Liu
,
Stella Ho
,
Mengqi Wang
,
Longxiang Gao
,
Yuan Jin
,
He Zhang
Federated Learning Meets Natural Language Processing: A Survey.
CoRR
(2021)
Kelvin Lo
,
Yuan Jin
,
Weicong Tan
,
Ming Liu
,
Lan Du
,
Wray L. Buntine
Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence.
EMNLP (Findings)
(2021)
Jueqing Lu
,
Lan Du
,
Ming Liu
,
Joanna Dipnall
Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs.
EMNLP (1)
(2020)
Jinming Zhao
,
Ming Liu
,
Longxiang Gao
,
Yuan Jin
,
Lan Du
,
He Zhao
,
He Zhang
,
Gholamreza Haffari
SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression.
CoRR
(2020)
Jiaxin Ju
,
Ming Liu
,
Longxiang Gao
,
Shirui Pan
Monash-Summ@LongSumm 20 SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline.
SDP@EMNLP
(2020)
Jiaxin Ju
,
Ming Liu
,
Longxiang Gao
,
Shirui Pan
SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline.
CoRR
(2020)
Jueqing Lu
,
Lan Du
,
Ming Liu
,
Joanna Dipnall
Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs.
CoRR
(2020)
Jinming Zhao
,
Ming Liu
,
Longxiang Gao
,
Yuan Jin
,
Lan Du
,
He Zhao
,
He Zhang
,
Gholamreza Haffari
SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression.
SIGIR
(2020)
Yuan Jin
,
He Zhao
,
Ming Liu
,
Lan Du
,
Yunfeng Li
,
Ruohua Xu
,
Longxiang Gao
Leveraging Cross Feedback of User and Item Embeddings for Variational Autoencoder based Collaborative Filtering.
CoRR
(2020)
Thuy-Trang Vu
,
Ming Liu
,
Dinh Phung
,
Gholamreza Haffari
Learning How to Active Learn by Dreaming.
ACL (1)
(2019)
Ming Liu
,
Wray L. Buntine
,
Gholamreza Haffari
Learning How to Actively Learn: A Deep Imitation Learning Approach.
ACL (1)
(2018)
Ming Liu
,
Wray L. Buntine
,
Gholamreza Haffari
Learning to Actively Learn Neural Machine Translation.
CoNLL
(2018)
Ming Liu
,
Gholamreza Haffari
,
Wray L. Buntine
,
Michelle Ananda-Rajah
Leveraging Linguistic Resources for Improving Neural Text Classification.
ALTA
(2017)
Ming Liu
,
Gholamreza Haffari
,
Wray L. Buntine
Learning cascaded latent variable models for biomedical text classification.
ALTA
(2016)