We stand with Ukraine

We stand with Ukraine

Ming Liu

Orcid: 0000-0002-2160-6111

Affiliations:

Monash University, NCHA, Melbourne, Australia
Deakin University, School of Information Technology, Melbourne, Australia
Monash University, Faculty of Information Technology, Melbourne, Australia (PhD 2019)

According to our database¹, Ming Liu authored at least 23 papers between 2016 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

On csauthors.net:

Bibliography

2023

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

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ACM Comput. Surv., 2023

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

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CoRR, 2023

2022

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

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ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022

Graph Intelligence Enhanced Bi-Channel Insider Threat Detection.

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Proceedings of the Network and System Security - 16th International Conference, 2022

How Far are We from Robust Long Abstractive Summarization?

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Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Semi-supervised Continual Learning with Meta Self-training.

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Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

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

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Data Min. Knowl. Discov., 2021

Prototypes-Guided Memory Replay for Continual Learning.

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CoRR, 2021

Federated Learning Meets Natural Language Processing: A Survey.

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CoRR, 2021

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

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Wray L. Buntine

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Leveraging Information Bottleneck for Scientific Document Summarization.

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Neural Attention-Aware Hierarchical Topic Model.

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Wray L. Buntine

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline.

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CoRR, 2020

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

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CoRR, 2020

SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression.

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Gholamreza Haffari

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

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

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Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Monash-Summ@LongSumm 20 SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline.

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Proceedings of the First Workshop on Scholarly Document Processing, 2020

2019

Weak Supervision and Active Learning for Natural Language Processing.

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PhD thesis, 2019

Learning How to Active Learn by Dreaming.

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Gholamreza Haffari

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Learning to Actively Learn Neural Machine Translation.

[BibT_eX]

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Wray L. Buntine

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Gholamreza Haffari

Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

Learning How to Actively Learn: A Deep Imitation Learning Approach.

[BibT_eX]

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Wray L. Buntine

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Gholamreza Haffari

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Leveraging Linguistic Resources for Improving Neural Text Classification.

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Gholamreza Haffari

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Wray L. Buntine

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Michelle Ananda-Rajah

Proceedings of the Australasian Language Technology Association Workshop, 2017

2016

Learning cascaded latent variable models for biomedical text classification.

[BibT_eX]

[DOI]

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Gholamreza Haffari

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Wray L. Buntine

Proceedings of the Australasian Language Technology Association Workshop 2016, Melbourne, Australia, December 5, 2016

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