| 2026 | ICDCS | Deployment-Aware Causal Root Cause Analysis in Distributed Computing Continuum Systems. | Zhenghao Wu, Ruihai Dong, Hadi Tabatabaee Malazi |
| 2026 | ICTIR | RAMP: Robust Ad Recommendation Under Limited Personalized-Feature Availability via Masking and Alignment Pathways. | Dairui Liu, Zhongyi Lu, Roger Zhe Li, Changhong Jin, Jitao Lu, Xinyang Shao, Bichen Shi, Mete Sertkan, Aghiles Salah, Aonghus Lawlor, Barry Smyth, Tri Kurniawan Wijaya, Ruihai Dong, Xingsheng Guo |
| 2026 | WWW | Edit-Level Tracking of Narrative Changes in 10-K Filings. | Xiao Li, Changhong Jin, Yingjie Niu, Jingyi Wang, Ruihai Dong |
| 2026 | WSDM | Transfer Learning via User-Item Graph Convolution for Enhanced Cross-Domain Recommendation. | Zheng Ju, Qinqin Wang, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Ruihai Dong, Aonghus Lawlor |
| 2025 | CIKM | ActiViz: Understanding Sample Selection in Active Learning through Boundary Visualization. | Jie Chen, Honghui Du, Dairui Liu, Siteng Ma, Brian MacNamee, Ruihai Dong |
| 2025 | CIKM | From Rules to Flexibility: A Resource and Method for SEC Item Extraction in Post-2021 10-K Filings. | Xiao Li, Changhong Jin, Ruihai Dong |
| 2025 | EMNLP | MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation. | Weihao Xuan, Rui Yang, Heli Qi, Qingcheng Zeng, Yunze Xiao, Aosong Feng, Dairui Liu, Yun Xing, Junjue Wang, Fan Gao, Jinghui Lu, Yuang Jiang, Huitao Li, Xin Li, Kunyu Yu, Ruihai Dong, Shangding Gu, Yuekang Li, Xiaofei Xie, Felix Juefei-Xu, Foutse Khomh, Osamu Yoshie, Qingyu Chen, Douglas Teodoro, Nan Liu, Randy Goebel, Lei Ma, Edison Marrese-Taylor, Shijian Lu, Yusuke Iwasawa, Yutaka Matsuo, Irene Li |
| 2025 | ICANN | NGAT: A Node-Level Graph Attention Network for Long-Term Stock Prediction. | Yingjie Niu, Mingchuan Zhao, Valerio Pot, Ruihai Dong |
| 2025 | IJCNN | Is Complete Labeling Necessary? Understanding Active Learning in Longitudinal Medical Imaging. | Siteng Ma, Honghui Du, Prateek Mathur, Brendan S. Kelly, Ronan P. Killeen, Aonghus Lawlor, Ruihai Dong |
| 2025 | MICCAI | Spatial Aggregation for Semi-supervised Active Learning in 3D Medical Image Segmentation. | Siteng Ma, Honghui Du, Dairui Liu, Kathleen M. Curran, Aonghus Lawlor, Ruihai Dong |
| 2025 | RecSys | EARL: The 2nd Workshop on Evaluating and Applying Recommender Systems with Large Language Models. | Irene Li, Ruihai Dong, Guillaume Salha-Galvan, Aonghus Lawlor, Dairui Liu, Lei Li |
| 2025 | WWW | Towards Efficient Hypergraph Representation Learning for Multi-Behaviour Recommender Systems. | Tendai Mukande, Esraa Ali, Annalina Caputo, Ruihai Dong, Noel E. O'Connor |
| 2024 | CIKM | RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models. | Dairui Liu, Boming Yang, Honghui Du, Derek Greene, Neil Hurley, Aonghus Lawlor, Ruihai Dong, Irene Li |
| 2024 | ECIR | MMCRec: Towards Multi-modal Generative AI in Conversational Recommendation. | Tendai Mukande, Esraa Ali, Annalina Caputo, Ruihai Dong, Noel E. O'Connor |
| 2024 | ICASSP | Breaking the Barrier: Selective Uncertainty-Based Active Learning for Medical Image Segmentation. | Siteng Ma, Haochang Wu, Aonghus Lawlor, Ruihai Dong |
| 2024 | MICCAI | Adaptive Curriculum Query Strategy for Active Learning in Medical Image Classification. | Siteng Ma, Honghui Du, Kathleen M. Curran, Aonghus Lawlor, Ruihai Dong |
| 2024 | RecSys | EARL: Workshop on Evaluating and Applying Recommendation Systems with Large Language Models. | Irene Li, Ruihai Dong, Lei Li, Li Chen |
| 2023 | ACL | Learning to Generalize for Cross-domain QA. | Yingjie Niu, Linyi Yang, Ruihai Dong, Yue Zhang |
| 2023 | CIKM | A Flash Attention Transformer for Multi-Behaviour Recommendation. | Tendai Mukande, Esraa Ali, Annalina Caputo, Ruihai Dong, Noel E. O'Connor |
| 2023 | ICCBR | A Case-Based Reasoning Approach to Company Sector Classification Using a Novel Time-Series Case Representation. | Rian Dolphin, Barry Smyth, Ruihai Dong |
| 2023 | ICONIP | Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases. | Haiwen Du, Zheng Ju, Yu An, Honghui Du, Dongjie Zhu, Zhaoshuo Tian, Aonghus Lawlor, Ruihai Dong |
| 2023 | ICPRAM | Adaptive Adversarial Samples Based Active Learning for Medical Image Classification. | Siteng Ma, Yu An, Jing Wang, Aonghus Lawlor, Ruihai Dong |
| 2023 | RecSys | ✨ Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations. | Boming Yang, Dairui Liu, Toyotaro Suzumura, Ruihai Dong, Irene Li |
| 2023 | SGAI | Unveiling the Relationship Between News Recommendation Algorithms and Media Bias: A Simulation-Based Analysis of the Evolution of Bias Prevalence. | Qin Ruan, Brian Mac Namee, Ruihai Dong |
| 2022 | AAAI | NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting. | Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth |
| 2022 | ACL | A Novel Perspective to Look At Attention: Bi-level Attention-based Explainable Topic Modeling for News Classification. | Dairui Liu, Derek Greene, Ruihai Dong |
| 2022 | ICWE | MARF: User-Item Mutual Aware Representation with Feedback. | Qinqin Wang, Khalil Muhammad, Diarmuid O'Reilly-Morgan, Barry Smyth, Elias Z. Tragos, Aonghus Lawlor, Neil Hurley, Ruihai Dong |
| 2021 | ACL | Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis. | Linyi Yang, Jiazheng Li, Padraig Cunningham, Yue Zhang, Barry Smyth, Ruihai Dong |
| 2021 | ICCBR | Measuring Financial Time Series Similarity with a View to Identifying Profitable Stock Market Opportunities. | Rian Dolphin, Barry Smyth, Yang Xu, Ruihai Dong |
| 2021 | ICCBR | Deciphering Ancient Chinese Oracle Bone Inscriptions Using Case-Based Reasoning. | Gechuan Zhang, Dairui Liu, Barry Smyth, Ruihai Dong |
| 2021 | ICWE | Conversation and Recommendation: Knowledge-Enhanced Personalized Dialog System. | Ming He, Tong Shen, Ruihai Dong |
| 2020 | CIKM | MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction. | Jiazheng Li, Linyi Yang, Barry Smyth, Ruihai Dong |
| 2020 | COLING | Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification. | Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong |
| 2020 | WWW | HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction. | Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong |
| 2020 | SGAI | Overlap Training to Mitigate Inconsistencies Caused by Image Tiling in CNNs. | Yu An, Qing Ye, Jiulin Guo, Ruihai Dong |
| 2019 | ICDE | Context-Aware Co-attention Neural Network for Service Recommendations. | Lei Li, Ruihai Dong, Li Chen |
| 2018 | IUI | Convolutional Matrix Factorization for Recommendation Explanation. | Yichao Lu, Ruihai Dong, Barry Smyth |
| 2018 | RecSys | Why I like it: multi-task learning for recommendation and explanation. | Yichao Lu, Ruihai Dong, Barry Smyth |
| 2018 | WWW | Coevolutionary Recommendation Model: Mutual Learning between Ratings and Reviews. | Yichao Lu, Ruihai Dong, Barry Smyth |
| 2017 | IJCAI | User-Based Opinion-based Recommendation. | Ruihai Dong, Barry Smyth |
| 2016 | ICCBR | Personalized Opinion-Based Recommendation. | Ruihai Dong, Barry Smyth |
| 2016 | SGAI | Context-Aware Sentiment Detection from Ratings. | Yichao Lu, Ruihai Dong, Barry Smyth |
| 2014 | ICCBR | Further Experiments in Opinionated Product Recommendation. | Ruihai Dong, Michael P. O'Mahony, Barry Smyth |
| 2013 | ICCBR | Opinionated Product Recommendation. | Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth |
| 2013 | ICCBR | Mining Features and Sentiment from Review Experiences. | Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth |
| 2013 | IJCAI | Topic Extraction from Online Reviews for Classification and Recommendation. | Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Barry Smyth |
| 2013 | RecSys | Sentimental product recommendation. | Ruihai Dong, Michael P. O'Mahony, Markus Schaal, Kevin McCarthy, Barry Smyth |
| 2012 | ICCBR | Harnessing the Experience Web to Support User-Generated Product Reviews. | Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth |
| 2012 | IUI | Towards an intelligent reviewer's assistant: recommending topics to help users to write better product reviews. | Ruihai Dong, Kevin McCarthy, Michael P. O'Mahony, Markus Schaal, Barry Smyth |
| 2012 | IUI | First demonstration of the intelligent reviewer's assistant. | Ruihai Dong, Kevin McCarthy, Michael P. O'Mahony, Markus Schaal, Barry Smyth |
| 2012 | RecSys | The demonstration of the reviewer's assistant. | Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth |
| 2012 | SGAI | Unsupervised Topic Extraction for the Reviewer's Assistant. | Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth |