Learning cascaded latent variable models for biomedical text classification. - Ming Liu 028; Gholamreza Haffari; Wray L. Buntine (ALTA, 2016)

Leveraging Linguistic Resources for Improving Neural Text Classification. - Ming Liu 028; Gholamreza Haffari; Wray L. Buntine; Michelle Ananda-Rajah (ALTA, 2017)

Learning How to Actively Learn: A Deep Imitation Learning Approach. - Ming Liu 028; Wray L. Buntine; Gholamreza Haffari (ACL (1), 2018)

Learning to Actively Learn Neural Machine Translation. - Ming Liu 028; Wray L. Buntine; Gholamreza Haffari (CoNLL, 2018)

Learning How to Active Learn by Dreaming. - Thuy-Trang Vu; Ming Liu 028; Dinh Phung 001; Gholamreza Haffari (ACL (1), 2019)

Weak Supervision and Active Learning for Natural Language Processing. - Ming Liu 028 (2019)

Monash-Summ@LongSumm 20 SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline. - Jiaxin Ju; Ming Liu 028; Longxiang Gao; Shirui Pan (SDP@EMNLP, 2020)

Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs. - Jueqing Lu; Lan Du 002; Ming Liu 028; Joanna Dipnall (EMNLP (1), 2020)

SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression. - Jinming Zhao; Ming Liu 028; Longxiang Gao; Yuan Jin; Lan Du 002; He Zhao 001; He Zhang 012; Gholamreza Haffari (SIGIR, 2020)

Leveraging Cross Feedback of User and Item Embeddings for Variational Autoencoder based Collaborative Filtering. - Yuan Jin; He Zhao 001; Ming Liu 028; Lan Du 002; Yunfeng Li; Ruohua Xu; Longxiang Gao (CoRR, 2020)

SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline. - Jiaxin Ju; Ming Liu 028; Longxiang Gao; Shirui Pan (CoRR, 2020)

Exploring the Vulnerability of Natural Language Processing Models via Universal Adversarial Texts. - Xinzhe Li; Ming Liu 028; Xingjun Ma; Longxiang Gao (ALTA, 2021)

Neural Attention-Aware Hierarchical Topic Model. - Yuan Jin; He Zhao 001; Ming Liu 028; Lan Du 002; Wray L. Buntine (EMNLP (1), 2021)

Leveraging Information Bottleneck for Scientific Document Summarization. - Jiaxin Ju; Ming Liu 028; Huan Yee Koh; Yuan Jin; Lan Du 002; Shirui Pan (EMNLP (Findings), 2021)

Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence. - Kelvin Lo; Yuan Jin; Weicong Tan; Ming Liu 028; Lan Du 002; Wray L. Buntine (EMNLP (Findings), 2021)

Federated Learning Meets Natural Language Processing: A Survey. - Ming Liu 028; Stella Ho; Mengqi Wang; Longxiang Gao; Yuan Jin; He Zhang 012 (CoRR, 2021)

Prototypes-Guided Memory Replay for Continual Learning. - Stella Ho; Ming Liu 028; Lan Du 002; Longxiang Gao; Yong Xiang 001 (CoRR, 2021)

Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data. - Yuan Jin; Ming Liu 028; Yunfeng Li; Ruohua Xu; Lan Du 002; Longxiang Gao; Yong Xiang 001 (Data Min. Knowl. Discov., 2021)

Semi-supervised Continual Learning with Meta Self-training. - Stella Ho; Ming Liu 028; Lan Du 002; Yunfeng Li; Longxiang Gao; Shang Gao 003 (CIKM, 2022)

How Far are We from Robust Long Abstractive Summarization? - Huan Yee Koh; Jiaxin Ju; He Zhang 012; Ming Liu 028; Shirui Pan (EMNLP, 2022)

Overview of NLPCC2022 Shared Task 5 Track 2: Named Entity Recognition. - Borui Cai; He Zhang 012; Fenghong Liu 002; Ming Liu 028; Tianrui Zong; Zhe Chen; Yunfeng Li (NLPCC (2), 2022)

Overview of NLPCC2022 Shared Task 5 Track 1: Multi-label Classification for Scientific Literature. - Ming Liu 028; He Zhang 012; Yangjie Tian; Tianrui Zong; Borui Cai; Ruohua Xu; Yunfeng Li (NLPCC (2), 2022)

Graph Intelligence Enhanced Bi-Channel Insider Threat Detection. - Wei Hong; Jiao Yin 003; Mingshan You; Hua Wang 002; Jinli Cao; Jianxin Li 001; Ming Liu 028 (NSS, 2022)

Mulan: A Multiple Residual Article-Wise Attention Network for Legal Judgment Prediction. - Junyi Chen; Lan Du 002; Ming Liu 028; Xiabing Zhou (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022)

A Survey on Out-of-Distribution Evaluation of Neural NLP Models. - Xinzhe Li; Ming Liu 028; Shang Gao 003; Wray L. Buntine (IJCAI, 2023)

Can Pretrained Language Models Derive Correct Semantics from Corrupt Subwords under Noise? - Xinzhe Li; Ming Liu 028; Shang Gao 003 (*SEM@ACL, 2023)

Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal Data. - Xinzhe Li; Ming Liu 028; Shang Gao 003 (CoRR, 2023)

Recent Advances in Hierarchical Multi-label Text Classification: A Survey. - Rundong Liu; Wenhan Liang; Weijun Luo; Yuxiang Song; He Zhang 012; Ruohua Xu; Yunfeng Li; Ming Liu 028 (CoRR, 2023)

An Empirical Survey on Long Document Summarization: Datasets, Models, and Metrics. - Huan Yee Koh; Jiaxin Ju; Ming Liu 028; Shirui Pan (ACM Comput. Surv., 2023)

Overview of the NLPCC2024 Shared Task 6: Scientific Literature Survey Generation. - Yangjie Tian; Xungang Gu; Aijia Li; He Zhang 012; Ruohua Xu; Yunfeng Li; Ming Liu 028 (NLPCC (5), 2024)

GRAMMAR: Grounded and Modular Methodology for Assessment of Domain-Specific Retrieval-Augmented Language Model. - Xinzhe Li; Ming Liu 028; Shang Gao 003 (CoRR, 2024)

A Survey on the Real Power of ChatGPT. - Ming Liu 028; Ran Liu 011; Ye Zhu 002; Hua Wang 002; Youyang Qu; Rongsheng Li; Yongpan Sheng; Wray L. Buntine (CoRR, 2024)

Rethinking ChatGPT's Success: Usability and Cognitive Behaviors Enabled by Auto-regressive LLMs' Prompting. - Xinzhe Li; Ming Liu 028 (CoRR, 2024)

Prototype-Guided Memory Replay for Continual Learning. - Stella Ho; Ming Liu 028; Lan Du 002; Longxiang Gao; Yong Xiang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Learning to learn for few-shot continual active learning. - Stella Ho; Ming Liu 028; Shang Gao 003; Longxiang Gao (Artif. Intell. Rev., 2024)

ICT: Invisible Computable Trigger Backdoor Attacks in Transfer Learning. - Xiang Chen; Bo Liu 057; Shaofeng Zhao; Ming Liu 028; Hui Xu; Zhanbo Li; Zhigao Zheng 001 (IEEE Trans. Consumer Electron., 2024)

Large Language Model and Variational Autoencoder Based Deep Neural Framework for Cyber Attack Detection. - Zhi Liu; Jyotheesh Gaddam; Shuo Huang; Ishara Bandara; Ming Liu 028; Sutharshan Rajasegarar; Muneeb Ul Hassan 001; Luxing Yang; Gang Li 009; Maia Angelova (PAKDD (4), 2025)

CLEAR: Climate Policy Retrieval and Summarization Using LLMs. - Yutao Wu; Kun Ran; Ming Liu 028; Adam P. A. Cardilini; Arif Nurwidyantoro; Xiao Liu 004 (WWW (Companion Volume), 2025)

Contrastive Learning and Feature Space Tactics: A Dual Approach to Strengthen Backdoor Attacks. - Hao Fu; Ming Liu 028; Rongsheng Li (IEEE Trans. Inf. Forensics Secur., 2025)