| 2026 | EACL | Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought. | Bowen Li, Ziqi Xu, Jing Ren, Renqiang Luo, Xikun Zhang, Xiuzhen Zhang, Yongli Ren, Feng Xia |
| 2026 | SIGIR | One Pass, Any Order: Position-Invariant Listwise Reranking for LLM-Based Recommendation. | Ethan Bito, Yongli Ren, Estrid He |
| 2026 | SIGIR | Verifiable User Simulation for Search and Recommendation Systems. | Chenglong Ma, Xinye Wanyan, Danula Hettiachchi, Ziqi Xu, Yongli Ren, Jeffrey Chan |
| 2026 | SIGIR | Mitigating Bias in Large Language Model Based Question Answering through Causal Front Door Prompting. | Yaqi Yang, Ziqi Xu, Jie Li, Chenglong Ma, Jeffrey Chan, Mark Sanderson, Xin Zheng, Yongli Ren |
| 2025 | CIKM | Unbiased Reasoning for Knowledge-Intensive Tasks in Large Language Models via Conditional Front-Door Adjustment. | Bo Zhao, Yinghao Zhang, Ziqi Xu, Yongli Ren, Xiuzhen Zhang, Renqiang Luo, Zaiwen Feng, Feng Xia |
| 2025 | RecSys | Estimating Quantum Execution Requirements for Feature Selection in Recommender Systems Using Extreme Value Theory. | Jiayang Niu, Qihan Zou, Jie Li, Ke Deng, Mark Sanderson, Yongli Ren |
| 2025 | WWW | Can Large Language Models Be a Good Evaluator for Review-based Product Question Answering? | Tony Danhui Huang, Yongli Ren, Xiuzhen Zhang |
| 2025 | WWW | Towards Better Evaluation of Recommendation Algorithms with Bi-directional Item Response Theory. | Ziqi Xu, Chenglong Ma, Yongli Ren, Jeffrey Chan, Wei Shao, Feng Xia |
| 2025 | SIGIR | PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation. | Chenglong Ma, Ziqi Xu, Yongli Ren, Danula Hettiachchi, Jeffrey Chan |
| 2024 | IJCNN | Reference-free review-based product question answering evaluation via distant contrastive learning. | Tony Danhui Huang, Yongli Ren, Lifang Wu, Xiuzhen Zhang |
| 2024 | WWW | Temporal Conformity-aware Hawkes Graph Network for Recommendations. | Chenglong Ma, Yongli Ren, Pablo Castells, Mark Sanderson |
| 2023 | MDM | A System of Monitoring and Analyzing Human Indoor Mobility and Air Quality. | Kyle Kai Qin, Mohammad Saiedur Rahaman, Yongli Ren, Chi-Tsun Cheng, Ivan Cole, Flora D. Salim |
| 2022 | CIKM | NEST: Simulating Pandemic-like Events for Collaborative Filtering by Modeling User Needs Evolution. | Chenglong Ma, Yongli Ren, Pablo Castells, Mark Sanderson |
| 2022 | WWW | FairGAN: GANs-based Fairness-aware Learning for Recommendations with Implicit Feedback. | Jie Li, Yongli Ren, Ke Deng |
| 2022 | SIGIR | Evaluation of Herd Behavior Caused by Population-scale Concept Drift in Collaborative Filtering. | Chenglong Ma, Yongli Ren, Pablo Castells, Mark Sanderson |
| 2022 | WSDM | Translating Human Mobility Forecasting through Natural Language Generation. | Hao Xue, Flora D. Salim, Yongli Ren, Charles L. A. Clarke |
| 2021 | ICDM | PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series. | Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim |
| 2020 | ADMA | Declarative User-Item Profiling Based Context-Aware Recommendation. | Rosni Lumbantoruan, Xiangmin Zhou, Yongli Ren |
| 2020 | CIKM | G-CREWE: Graph CompREssion With Embedding for Network Alignment. | Kyle Kai Qin, Flora D. Salim, Yongli Ren, Wei Shao, Mark Heimann, Danai Koutra |
| 2020 | NSS | A Privacy Preserving Aggregation Scheme for Fog-Based Recommender System. | Xiaodong Wang, Bruce Gu, Youyang Qu, Yongli Ren, Yong Xiang, Longxiang Gao |
| 2020 | PAKDD | Relation Embedding for Personalised Translation-Based POI Recommendation. | Xianjing Wang, Flora D. Salim, Yongli Ren, Piotr Koniusz |
| 2020 | SIGIR | Agreement and Disagreement between True and False-Positive Metrics in Recommender Systems Evaluation. | Elisa Mena-Maldonado, Roco Caamares, Pablo Castells, Yongli Ren, Mark Sanderson |
| 2019 | CHIIR | Learning About Work Tasks to Inform Intelligent Assistant Design. | Johanne R. Trippas, Damiano Spina, Falk Scholer, Ahmed Hassan Awadallah, Peter Bailey, Paul N. Bennett, Ryen W. White, Jonathan Liono, Yongli Ren, Flora D. Salim, Mark Sanderson |
| 2019 | EANN | A Probabilistic Graph-Based Method to Improve Recommender System Accuracy. | Nima Joorabloo, Mahdi Jalili, Yongli Ren |
| 2019 | IC3K | A New Temporal Recommendation System based on Users' Similarity Prediction. | Nima Joorabloo, Mahdi Jalili, Yongli Ren |
| 2019 | ICDM | I-CARS: An Interactive Context-Aware Recommender System. | Rosni Lumbantoruan, Xiangmin Zhou, Yongli Ren, Lei Chen |
| 2019 | PERCOM | OccuSpace: Towards a Robust Occupancy Prediction System for Activity Based Workplace. | Mohammad Saiedur Rahaman, Harsh Pare, Jonathan Liono, Flora D. Salim, Yongli Ren, Jeffrey Chan, Shaw Kudo, Tim Rawling, Alex Sinickas |
| 2018 | ICDM | D-CARS: A Declarative Context-Aware Recommender System. | Rosni Lumbantoruan, Xiangmin Zhou, Yongli Ren, Zhifeng Bao |
| 2018 | PAKDD | Contextual Location Imputation for Confined WiFi Trajectories. | Elham Naghizade, Jeffrey Chan, Yongli Ren, Martin Tomko |
| 2018 | PAKDD | Identifying In-App User Actions from Mobile Web Logs. | Bilih Priyogi, Mark Sanderson, Flora D. Salim, Jeffrey Chan, Martin Tomko, Yongli Ren |
| 2018 | SENSYS | Shopping intent recognition and location prediction from cyber-physical activities via wi-fi logs. | Manpreet Kaur, Flora D. Salim, Yongli Ren, Jeffrey Chan, Martin Tomko, Mark Sanderson |
| 2017 | APWEB | Change Detection from Media Sharing Community. | Naoki Kito, Xiangmin Zhou, Dong Qin, Yongli Ren, Xiuzhen Zhang, James A. Thom |
| 2017 | SIGIR | Understanding User Behavior in Job and Talent Search: An Initial Investigation. | Damiano Spina, Maria Maistro, Yongli Ren, Sargol Sadeghi, Wilson Wong, Timothy Baldwin, Lawrence Cavedon, Alistair Moffat, Mark Sanderson, Falk Scholer, Justin Zobel |
| 2014 | CIKM | How People Use the Web in Large Indoor Spaces. | Yongli Ren, Martin Tomko, Kevin Ong, Mark Sanderson |
| 2014 | IPIN | A new approach for indoor customer tracking based on a single Wi-Fi connection. | Yuntian Brian Bai, Suqin Wu, Yongli Ren, Kevin Ong, Gnther Retscher, Allison Kealy, Martin Tomko, Mark Sanderson, Hong Ren Wu, Kefei Zhang |
| 2013 | PAKDD | Top-N Recommendations by Learning User Preference Dynamics. | Yongli Ren, Tianqing Zhu, Gang Li, Wanlei Zhou |
| 2012 | CIKM | The efficient imputation method for neighborhood-based collaborative filtering. | Yongli Ren, Gang Li, Jun Zhang, Wanlei Zhou |
| 2012 | PRICAI | Improving Top-N Recommendations with User Consuming Profiles. | Yongli Ren, Gang Li, Wanlei Zhou |
| 2009 | AusDM | Monetising User Generated Content Using Data Mining Techniques. | Yu-Hsn Liu, Yongli Ren, Robert Dew |
| 2009 | AusDM | Clustering Interval-valued Data Using an Overlapped Interval Divergence. | Yongli Ren, Yu-Hsn Liu, Jia Rong, Robert Dew |
| 2008 | PRICAI | The Density-Based Agglomerative Information Bottleneck. | Yongli Ren, Yangdong Ye, Gang Li |