Ming Liu

According to our database, Ming Liu authored at least 31 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ICT: Invisible Computable Trigger Backdoor Attacks in Transfer Learning.

Xiang Chen, Bo Liu, Shaofeng Zhao, Ming Liu, Hui Xu, Zhanbo Li, Zhigao Zheng

IEEE Trans. Consumer Electron., November, 2024

Learning to learn for few-shot continual active learning.

Stella Ho, Ming Liu, Shang Gao, Longxiang Gao

Artif. Intell. Rev., October, 2024

Prototype-Guided Memory Replay for Continual Learning.

Stella Ho, Ming Liu, Lan Du, Longxiang Gao, Yong Xiang

IEEE Trans. Neural Networks Learn. Syst., August, 2024

A Survey on the Real Power of ChatGPT.

Ming Liu, Ran Liu, Ye Zhu, Hua Wang, Youyang Qu, Rongsheng Li, Yongpan Sheng, Wray L. Buntine

CoRR, 2024

Overview of the NLPCC2024 Shared Task 6: Scientific Literature Survey Generation.

Yangjie Tian, Xungang Gu, Aijia Li, He Zhang, Ruohua Xu, Yunfeng Li, Ming Liu

Proceedings of the Natural Language Processing and Chinese Computing, 2024

2023

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

Huan Yee Koh, Jiaxin Ju, Ming Liu, Shirui Pan

ACM Comput. Surv., 2023

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

Rundong Liu, Wenhan Liang, Weijun Luo, Yuxiang Song, He Zhang, Ruohua Xu, Yunfeng Li, Ming Liu

CoRR, 2023

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

Xinzhe Li, Ming Liu, Shang Gao, Wray L. Buntine

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

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

Junyi Chen, Lan Du, Ming Liu, Xiabing Zhou

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

Graph Intelligence Enhanced Bi-Channel Insider Threat Detection.

Wei Hong, Jiao Yin, Mingshan You, Hua Wang, Jinli Cao, Jianxin Li, Ming Liu

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

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

Ming Liu, He Zhang, Yangjie Tian, Tianrui Zong, Borui Cai, Ruohua Xu, Yunfeng Li

Proceedings of the Natural Language Processing and Chinese Computing, 2022

Overview of NLPCC2022 Shared Task 5 Track 2: Named Entity Recognition.

Borui Cai, He Zhang, Fenghong Liu, Ming Liu, Tianrui Zong, Zhe Chen, Yunfeng Li

Proceedings of the Natural Language Processing and Chinese Computing, 2022

How Far are We from Robust Long Abstractive Summarization?

Huan Yee Koh, Jiaxin Ju, He Zhang, Ming Liu, Shirui Pan

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

Semi-supervised Continual Learning with Meta Self-training.

Stella Ho, Ming Liu, Lan Du, Yunfeng Li, Longxiang Gao, Shang Gao

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.

Yuan Jin, Ming Liu, Yunfeng Li, Ruohua Xu, Lan Du, Longxiang Gao, Yong Xiang

Data Min. Knowl. Discov., 2021

Prototypes-Guided Memory Replay for Continual Learning.

Stella Ho, Ming Liu, Lan Du, Longxiang Gao, Yong Xiang

CoRR, 2021

Federated Learning Meets Natural Language Processing: A Survey.

Ming Liu, Stella Ho, Mengqi Wang, Longxiang Gao, Yuan Jin, He Zhang

CoRR, 2021

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

Kelvin Lo, Yuan Jin, Weicong Tan, Ming Liu, Lan Du, Wray L. Buntine

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

Leveraging Information Bottleneck for Scientific Document Summarization.

Jiaxin Ju, Ming Liu, Huan Yee Koh, Yuan Jin, Lan Du, Shirui Pan

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

Neural Attention-Aware Hierarchical Topic Model.

Yuan Jin, He Zhao, Ming Liu, Lan Du, Wray L. Buntine

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

2020

SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline.

Jiaxin Ju, Ming Liu, Longxiang Gao, Shirui Pan

CoRR, 2020

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

Yuan Jin, He Zhao, Ming Liu, Lan Du, Yunfeng Li, Ruohua Xu, Longxiang Gao

CoRR, 2020

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

Jinming Zhao, Ming Liu, Longxiang Gao, Yuan Jin, Lan Du, He Zhao, He Zhang, 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.

Jueqing Lu, Lan Du, Ming Liu, Joanna Dipnall

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

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

Jiaxin Ju, Ming Liu, Longxiang Gao, Shirui Pan

Proceedings of the First Workshop on Scholarly Document Processing, 2020

2019

Weak Supervision and Active Learning for Natural Language Processing.

Ming Liu

PhD thesis, 2019

Learning How to Active Learn by Dreaming.

Thuy-Trang Vu, Ming Liu, Dinh Phung, Gholamreza Haffari

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

2018

Learning to Actively Learn Neural Machine Translation.

Ming Liu, Wray L. Buntine, Gholamreza Haffari

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

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

Ming Liu, Wray L. Buntine, Gholamreza Haffari

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

2017

Leveraging Linguistic Resources for Improving Neural Text Classification.

Ming Liu, Gholamreza Haffari, Wray L. Buntine, Michelle Ananda-Rajah

Proceedings of the Australasian Language Technology Association Workshop, 2017

2016

Learning cascaded latent variable models for biomedical text classification.

Ming Liu, Gholamreza Haffari, Wray L. Buntine

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