Ming Liu

59 papers A* 5A 1B 2Misc 3Journal 33Unranked 14
YearRankTypeTitle / Venue / Authors
2026 A* conf
Towards Token-Level Text Anomaly Detection.
WWW
Yang Cao, Bicheng Yu, Sikun Yang, Ming Liu, Yujiu Yang
2026 J jnl
Towards Token-Level Text Anomaly Detection.
CoRR
Yang Cao, Bicheng Yu, Sikun Yang, Ming Liu, Yujiu Yang
2025 J jnl
A Comprehensive Approach to Instruction Tuning for Qwen2.5: Data Selection, Domain Interaction, and Training Protocols.
Comput.
Xungang Gu, Mengqi Wang, Yangjie Tian, Ning Li, Jiaze Sun, Jingfang Xu, He Zhang, Ruohua Xu, Ming Liu
2025 J jnl
Benchmarking the Responsiveness of Open-Source Text-to-Speech Systems.
Comput.
Ha Pham Thien Dinh, Rutherford Agbeshi Patamia, Ming Liu, Akansel Cosgun
2025 A* conf
Beyond Technical Failures: Multimodal Time-Series Modelling for Detecting Social Breakdowns and User Repair Attempts in Human-Robot Interaction.
ACM Multimedia
Rutherford Agbeshi Patamia, Ha Pham Thien Dinh, Ming Liu, Akansel Cosgun
2025 — conf
CLEAR: Climate Policy Retrieval and Summarization Using LLMs.
WWW (Companion Volume)
Yutao Wu, Kun Ran, Ming Liu, Adam P. A. Cardilini, Arif Nurwidyantoro, Xiao Liu
2025 J jnl
Contrastive Learning and Feature Space Tactics: A Dual Approach to Strengthen Backdoor Attacks.
IEEE Trans. Inf. Forensics Secur.
Hao Fu, Ming Liu, Rongsheng Li
2025 J jnl
Isolation-based Spherical Ensemble Representations for Anomaly Detection.
CoRR
Yang Cao, Sikun Yang, Hao Tian, Kai He, Lianyong Qi, Ming Liu, Yujiu Yang
2025 J jnl
Kernel Representation and Similarity Measure for Incomplete Data.
CoRR
Yang Cao, Sikun Yang, Kai He, Wenjun Ma, Ming Liu, Yujiu Yang, Jian Weng
2025 — conf
Large Language Model and Variational Autoencoder Based Deep Neural Framework for Cyber Attack Detection.
PAKDD (4)
Zhi Liu, Jyotheesh Gaddam, Shuo Huang, Ishara Bandara, Ming Liu, Sutharshan Rajasegarar, Muneeb Ul Hassan, Luxing Yang, Gang Li, Maia Angelova
2025 J jnl
TAD-Bench: A Comprehensive Benchmark for Embedding-Based Text Anomaly Detection.
CoRR
Yang Cao, Sikun Yang, Chen Li, Haolong Xiang, Lianyong Qi, Bo Liu, Rongsheng Li, Ming Liu
2025 — conf
Text Anomaly Detection with Simplified Isolation Kernel.
EMNLP (Findings)
Yang Cao, Sikun Yang, Yu-Jiu Yang, Lianyong Qi, Ming Liu
2025 J jnl
Text Anomaly Detection with Simplified Isolation Kernel.
CoRR
Yang Cao, Sikun Yang, Yujiu Yang, Lianyong Qi, Ming Liu
2024 J jnl
A Survey on the Real Power of ChatGPT.
CoRR
Ming Liu, Ran Liu, Ye Zhu, Hua Wang, Youyang Qu, Rongsheng Li, Yongpan Sheng, Wray L. Buntine
2024 J jnl
GRAMMAR: Grounded and Modular Methodology for Assessment of Domain-Specific Retrieval-Augmented Language Model.
CoRR
Xinzhe Li, Ming Liu, Shang Gao
2024 J jnl
ICT: Invisible Computable Trigger Backdoor Attacks in Transfer Learning.
IEEE Trans. Consumer Electron.
Xiang Chen, Bo Liu, Shaofeng Zhao, Ming Liu, Hui Xu, Zhanbo Li, Zhigao Zheng
2024 J jnl
Learning to learn for few-shot continual active learning.
Artif. Intell. Rev.
Stella Ho, Ming Liu, Shang Gao, Longxiang Gao
2024 — conf
Overview of the NLPCC2024 Shared Task 6: Scientific Literature Survey Generation.
NLPCC (5)
Yangjie Tian, Xungang Gu, Aijia Li, He Zhang, Ruohua Xu, Yunfeng Li, Ming Liu
2024 J jnl
Prototype-Guided Memory Replay for Continual Learning.
IEEE Trans. Neural Networks Learn. Syst.
Stella Ho, Ming Liu, Lan Du, Longxiang Gao, Yong Xiang
2024 J jnl
Rethinking ChatGPT's Success: Usability and Cognitive Behaviors Enabled by Auto-regressive LLMs' Prompting.
CoRR
Xinzhe Li, Ming Liu
2023 A* conf
A Survey on Out-of-Distribution Evaluation of Neural NLP Models.
IJCAI
Xinzhe Li, Ming Liu, Shang Gao, Wray L. Buntine
2023 J jnl
A Survey on Out-of-Distribution Evaluation of Neural NLP Models.
CoRR
Xinzhe Li, Ming Liu, Shang Gao, Wray L. Buntine
2023 J jnl
An Empirical Survey on Long Document Summarization: Datasets, Models, and Metrics.
ACM Comput. Surv.
Huan Yee Koh, Jiaxin Ju, Ming Liu, Shirui Pan
2023 — conf
Can Pretrained Language Models Derive Correct Semantics from Corrupt Subwords under Noise?
*SEM@ACL
Xinzhe Li, Ming Liu, Shang Gao
2023 J jnl
Can Pretrained Language Models Derive Correct Semantics from Corrupt Subwords under Noise?
CoRR
Xinzhe Li, Ming Liu, Shang Gao
2023 J jnl
Learning to Learn for Few-shot Continual Active Learning.
CoRR
Stella Ho, Ming Liu, Shang Gao, Longxiang Gao
2023 J jnl
Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal Data.
CoRR
Xinzhe Li, Ming Liu, Shang Gao
2023 J jnl
Recent Advances in Hierarchical Multi-label Text Classification: A Survey.
CoRR
Rundong Liu, Wenhan Liang, Weijun Luo, Yuxiang Song, He Zhang, Ruohua Xu, Yunfeng Li, Ming Liu
2022 J jnl
An Empirical Survey on Long Document Summarization: Datasets, Models and Metrics.
CoRR
Huan Yee Koh, Jiaxin Ju, Ming Liu, Shirui Pan
2022 B conf
Graph Intelligence Enhanced Bi-Channel Insider Threat Detection.
NSS
Wei Hong, Jiao Yin, Mingshan You, Hua Wang, Jinli Cao, Jianxin Li, Ming Liu
2022 A* conf
How Far are We from Robust Long Abstractive Summarization?
EMNLP
Huan Yee Koh, Jiaxin Ju, He Zhang, Ming Liu, Shirui Pan
2022 J jnl
How Far are We from Robust Long Abstractive Summarization?
CoRR
Huan Yee Koh, Jiaxin Ju, He Zhang, Ming Liu, Shirui Pan
2022 J jnl
Mulan: A Multiple Residual Article-Wise Attention Network for Legal Judgment Prediction.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Junyi Chen, Lan Du, Ming Liu, Xiabing Zhou
2022 — conf
Overview of NLPCC2022 Shared Task 5 Track 1: Multi-label Classification for Scientific Literature.
NLPCC (2)
Ming Liu, He Zhang, Yangjie Tian, Tianrui Zong, Borui Cai, Ruohua Xu, Yunfeng Li
2022 — conf
Overview of NLPCC2022 Shared Task 5 Track 2: Named Entity Recognition.
NLPCC (2)
Borui Cai, He Zhang, Fenghong Liu, Ming Liu, Tianrui Zong, Zhe Chen, Yunfeng Li
2022 A conf
Semi-supervised Continual Learning with Meta Self-training.
CIKM
Stella Ho, Ming Liu, Lan Du, Yunfeng Li, Longxiang Gao, Shang Gao
2021 Misc conf
Exploring the Vulnerability of Natural Language Processing Models via Universal Adversarial Texts.
ALTA
Xinzhe Li, Ming Liu, Xingjun Ma, Longxiang Gao
2021 J jnl
Federated Learning Meets Natural Language Processing: A Survey.
CoRR
Ming Liu, Stella Ho, Mengqi Wang, Longxiang Gao, Yuan Jin, He Zhang
2021 — conf
Leveraging Information Bottleneck for Scientific Document Summarization.
EMNLP (Findings)
Jiaxin Ju, Ming Liu, Huan Yee Koh, Yuan Jin, Lan Du, Shirui Pan
2021 J jnl
Leveraging Information Bottleneck for Scientific Document Summarization.
CoRR
Jiaxin Ju, Ming Liu, Huan Yee Koh, Yuan Jin, Lan Du, Shirui Pan
2021 — conf
Neural Attention-Aware Hierarchical Topic Model.
EMNLP (1)
Yuan Jin, He Zhao, Ming Liu, Lan Du, Wray L. Buntine
2021 J jnl
Neural Attention-Aware Hierarchical Topic Model.
CoRR
Yuan Jin, He Zhao, Ming Liu, Lan Du, Wray L. Buntine
2021 J jnl
Prototypes-Guided Memory Replay for Continual Learning.
CoRR
Stella Ho, Ming Liu, Lan Du, Longxiang Gao, Yong Xiang
2021 — conf
Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence.
EMNLP (Findings)
Kelvin Lo, Yuan Jin, Weicong Tan, Ming Liu, Lan Du, Wray L. Buntine
2021 J jnl
Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence.
CoRR
Kelvin Lo, Yuan Jin, Weicong Tan, Ming Liu, Lan Du, Wray L. Buntine
2021 J jnl
Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data.
Data Min. Knowl. Discov.
Yuan Jin, Ming Liu, Yunfeng Li, Ruohua Xu, Lan Du, Longxiang Gao, Yong Xiang
2020 J jnl
Leveraging Cross Feedback of User and Item Embeddings for Variational Autoencoder based Collaborative Filtering.
CoRR
Yuan Jin, He Zhao, Ming Liu, Lan Du, Yunfeng Li, Ruohua Xu, Longxiang Gao
2020 — conf
Monash-Summ@LongSumm 20 SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline.
SDP@EMNLP
Jiaxin Ju, Ming Liu, Longxiang Gao, Shirui Pan
2020 — conf
Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs.
EMNLP (1)
Jueqing Lu, Lan Du, Ming Liu, Joanna Dipnall
2020 J jnl
Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs.
CoRR
Jueqing Lu, Lan Du, Ming Liu, Joanna Dipnall
2020 J jnl
SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline.
CoRR
Jiaxin Ju, Ming Liu, Longxiang Gao, Shirui Pan
2020 A* conf
SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression.
SIGIR
Jinming Zhao, Ming Liu, Longxiang Gao, Yuan Jin, Lan Du, He Zhao, He Zhang, Gholamreza Haffari
2020 J jnl
SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression.
CoRR
Jinming Zhao, Ming Liu, Longxiang Gao, Yuan Jin, Lan Du, He Zhao, He Zhang, Gholamreza Haffari
2019 — conf
Learning How to Active Learn by Dreaming.
ACL (1)
Thuy-Trang Vu, Ming Liu, Dinh Phung, Gholamreza Haffari
2019 — —
Weak Supervision and Active Learning for Natural Language Processing.
Ming Liu
2018 — conf
Learning How to Actively Learn: A Deep Imitation Learning Approach.
ACL (1)
Ming Liu, Wray L. Buntine, Gholamreza Haffari
2018 B conf
Learning to Actively Learn Neural Machine Translation.
CoNLL
Ming Liu, Wray L. Buntine, Gholamreza Haffari
2017 Misc conf
Leveraging Linguistic Resources for Improving Neural Text Classification.
ALTA
Ming Liu, Gholamreza Haffari, Wray L. Buntine, Michelle Ananda-Rajah
2016 Misc conf
Learning cascaded latent variable models for biomedical text classification.
ALTA
Ming Liu, Gholamreza Haffari, Wray L. Buntine