| 2025 | IJCNN | Multi-agent Deep Reinforcement Learning for Fake News Detection. | Yiwen Wu, Kevin McAreavey, Hongbo Bo, Weiru Liu, Ryan McConville |
| 2024 | ICAART | Multi-Granular Evaluation of Diverse Counterfactual Explanations. | Yining Yuan, Kevin McAreavey, Shujun Li, Weiru Liu |
| 2024 | ICTAI | A User Study on Contrastive Explanations for Multi-Effector Temporal Planning with Non-Stationary Costs. | Xiaowei Liu, Kevin McAreavey, Weiru Liu |
| 2024 | ICTAI | TSFeatLIME: An Online User Study in Enhancing Explainability in Univariate Time Series Forecasting. | Hongnan Ma, Kevin McAreavey, Weiru Liu |
| 2023 | ECSQARU | Modifications of the Miller Definition of Contrastive (Counterfactual) Explanations. | Kevin McAreavey, Weiru Liu |
| 2022 | ICAART | A Smart Home Testbed for Evaluating XAI with Non-experts. | Kevin McAreavey, Kim Bauters, Weiru Liu |
| 2022 | ICAART | Developing and Experimenting on Approaches to Explainability in AI Systems. | Yuhao Zhang, Kevin McAreavey, Weiru Liu |
| 2019 | ICTAI | Intention Interleaving Via Classical Replanning. | Mengwei Xu, Kevin McAreavey, Kim Bauters, Weiru Liu |
| 2018 | AAAI | Expected Utility with Relative Loss Reduction: A Unifying Decision Model for Resolving Four Well-Known Paradoxes. | Wenjun Ma, Yuncheng Jiang, Weiru Liu, Xudong Luo, Kevin McAreavey |
| 2018 | ICTAI | A Framework for Plan Library Evolution in BDI Agent Systems. | Mengwei Xu, Kim Bauters, Kevin McAreavey, Weiru Liu |
| 2017 | ICAART | Modelling and Reasoning with Uncertain Event-observations for Event Inference. | Sarah Calderwood, Kevin McAreavey, Weiru Liu, Jun Hong |
| 2017 | ICTAI | Resource-Based Dynamic Rewards for Factored MDPs. | Ronan Killough, Kim Bauters, Kevin McAreavey, Weiru Liu, Jun Hong |
| 2016 | ICAART | Risk-aware Planning in BDI Agents. | Ronan Killough, Kim Bauters, Kevin McAreavey, Weiru Liu, Jun Hong |
| 2015 | ECSQARU | Game-Theoretic Resource Allocation with Real-Time Probabilistic Surveillance Information. | Wenjun Ma, Weiru Liu, Kevin McAreavey |