| 2026 | ACL | Tracing the Light of Thought: A Probabilistic Self- and Cross-Consistency Verification Mechanism Improving Mathematical Reasoning in LLMs. | Xiaoyang Liu, Dawei Wang, Tian Li, Huizhi Liang, Gary Ushaw, Richard Davison |
| 2026 | EACL | KGHaluBench: A Knowledge Graph-Based Hallucination Benchmark for Evaluating the Breadth and Depth of LLM Knowledge. | Alex Robertson, Huizhi Liang, Mahbub Gani, Rohit Kumar, Srijith Rajamohan |
| 2025 | ICANN | D | Zhenyu Liu, Huizhi Liang, Rajiv Ranjan, Zhanxing Zhu, Vclav Snsel, Varun Ojha |
| 2024 | ECIR | ARElight: Context Sampling of Large Texts for Deep Learning Relation Extraction. | Nicolay Rusnachenko, Huizhi Liang, Maksim Kalameyets, Lei Shi |
| 2024 | IC3K | HTEKG: A Human-Trait-Enhanced Literary Knowledge Graph with Language Model Evaluation. | Sreejith Sudhir Kalathil, Tian Li, Hang Dong, Huizhi Liang |
| 2024 | ICANN | Security Assessment of Hierarchical Federated Deep Learning. | Duaa S. Alqattan, Rui Sun, Huizhi Liang, Guiseppe Nicosia, Vclav Snsel, Rajiv Ranjan, Varun Ojha |
| 2024 | ICONIP | On Learnable Parameters of Optimal and Suboptimal Deep Learning Models. | Ziwei Zheng, Huizhi Liang, Vclav Snsel, Vito Latora, Panos M. Pardalos, Guiseppe Nicosia, Varun Ojha |
| 2024 | WWW | On the Scale-Free Property of Citation Networks: An Empirical Study. | Xiaoshi Zhong, Huizhi Liang |
| 2023 | CIKM | ThyExp: An explainable AI-assisted Decision Making Toolkit for Thyroid Nodule Diagnosis based on Ultra-sound Images. | Jamie Morris, Zehao Liu, Huizhi Liang, Sidhartha Nagala, Xia Hong |
| 2022 | AusDM | Attractiveness Analysis for Health Claims on Food Packages. | Xiao Li, Huizhi Liang, Chris Ryder, Rodney Jones, Zehao Liu |
| 2022 | CIKM | Relation-aware Blocking for Scalable Recommendation Systems. | Huizhi Liang, Zehao Liu, Thanet Markchom |
| 2022 | ICASSP | Improving Ultrasound Image Classification with Local Texture Quantisation. | Xiao Li, Huizhi Liang, Sidhartha Nagala, Jane Chen |
| 2021 | CIKM | Health Claims Unpacked: A toolkit to Enhance the Communication of Health Claims for Food. | Xiao Li, Huizhi Liang, Zehao Liu |
| 2021 | IUI | Augmenting Visual Information in Knowledge Graphs for Recommendations. | Thanet Markchom, Huizhi Liang |
| 2016 | ICDE | Semantic-aware blocking for entity resolution. | Qing Wang, Mingyuan Cui, Huizhi Liang |
| 2015 | CIKM | A Probabilistic Rating Auto-encoder for Personalized Recommender Systems. | Huizhi Liang, Timothy Baldwin |
| 2014 | ADC | Dynamic Sorted Neighborhood Indexing for Real-Time Entity Resolution. | Banda Ramadan, Peter Christen, Huizhi Liang |
| 2014 | AusDM | Real-time Collaborative Filtering Recommender Systems. | Huizhi Liang, Haoran Du, Qing Wang |
| 2014 | PAKDD | Noise-Tolerant Approximate Blocking for Dynamic Real-Time Entity Resolution. | Huizhi Liang, Yanzhe Wang, Peter Christen, Ross W. Gayler |
| 2013 | PAKDD | Dynamic Similarity-Aware Inverted Indexing for Real-Time Entity Resolution. | Banda Ramadan, Peter Christen, Huizhi Liang, Ross W. Gayler, David Hawking |
| 2012 | CIKM | Time-aware topic recommendation based on micro-blogs. | Huizhi Liang, Yue Xu, Dian Tjondronegoro, Peter Christen |
| 2010 | CIKM | Personalized recommender system based on item taxonomy and folksonomy. | Huizhi Liang, Yue Xu, Yuefeng Li, Richi Nayak |
| 2010 | ICDM | Parallel User Profiling Based on Folksonomy for Large Scaled Recommender Systems: An Implimentation of Cascading MapReduce. | Huizhi Liang, Jim Hogan, Yue Xu |
| 2010 | ICDM | Mining Users' Opinions Based on Item Folksonomy and Taxonomy for Personalized Recommender Systems. | Huizhi Liang, Yue Xu, Yuefeng Li |
| 2010 | WISE | Developing Trust Networks Based on User Tagging Information for Recommendation Making. | Touhid Bhuiyan, Yue Xu, Audun Jsang, Huizhi Liang, Clive Cox |