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2020 – today
- 2025
[j16]Dairui Liu
, Derek Greene, Irene Li, Xuefei Jiang, Ruihai Dong:
Topic-Centric Explanations for News Recommendation. Trans. Recomm. Syst. 3(2): 17:1-17:25 (2025)- [c56]Tendai Mukande, Esraa Ali, Annalina Caputo, Ruihai Dong, Noel E. O'Connor:
Towards Efficient Hypergraph Representation Learning for Multi-Behaviour Recommender Systems. WWW (Companion Volume) 2025: 1204-1208 - [i23]Siteng Ma, Honghui Du, Yu An, Jing Wang, Qinqin Wang, Haochang Wu, Aonghus Lawlor, Ruihai Dong:
Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey. CoRR abs/2504.11588 (2025) - 2024
- [j15]Qin Ruan, Brian Mac Namee, Ruihai Dong:
The Effects of Media Bias on News Recommendations. IEEE Access 12: 83391-83404 (2024) - [j14]Jing Wang, Siteng Ma, Yu An, Ruihai Dong:
A Comparative Study of Vision Transformer and Convolutional Neural Network Models in Geological Fault Detection. IEEE Access 12: 136148-136159 (2024) - [j13]Siteng Ma, Prateek Mathur, Zheng Ju, Aonghus Lawlor, Ruihai Dong:
Model-data-driven adversarial active learning for brain tumor segmentation. Comput. Biol. Medicine 176: 108585 (2024) - [j12]Sinuo Deng, Lifang Wu, Ge Shi, Lehao Xing, Meng Jian, Ye Xiang, Ruihai Dong:
Learning to compose diversified prompts for image emotion classification. Comput. Vis. Media 10(6): 1169-1183 (2024) - [c55]Xiao Li, Yang Xu, Linyi Yang, Yue Zhang, Ruihai Dong:
NLP-Based Analysis of Annual Reports: Asset Volatility Prediction and Portfolio Strategy Application. AICS 2024: 228-240 - [c54]Dairui Liu, Boming Yang, Honghui Du, Derek Greene, Neil Hurley, Aonghus Lawlor, Ruihai Dong, Irene Li:
RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models. CIKM 2024: 3902-3906 - [c53]Tendai Mukande, Esraa Ali, Annalina Caputo, Ruihai Dong, Noel E. O'Connor:
MMCRec: Towards Multi-modal Generative AI in Conversational Recommendation. ECIR (3) 2024: 316-325 - [c52]Rian Dolphin, Barry Smyth, Ruihai Dong:
Contrastive Learning of Asset Embeddings from Financial Time Series. ICAIF 2024: 379-387 - [c51]Yingjie Niu, Lanxin Lu, Rian Dolphin, Valerio Potì, Ruihai Dong:
Evaluating Financial Relational Graphs: Interpretation Before Prediction. ICAIF 2024: 564-572 - [c50]Siteng Ma, Haochang Wu, Aonghus Lawlor, Ruihai Dong:
Breaking the Barrier: Selective Uncertainty-Based Active Learning for Medical Image Segmentation. ICASSP 2024: 1531-1535 - [c49]Siteng Ma, Honghui Du, Kathleen M. Curran, Aonghus Lawlor, Ruihai Dong:
Adaptive Curriculum Query Strategy for Active Learning in Medical Image Classification. MICCAI (11) 2024: 48-57 - [c48]Irene Li, Ruihai Dong, Lei Li, Li Chen:
EARL: Workshop on Evaluating and Applying Recommendation Systems with Large Language Models. RecSys 2024: 1262-1264 - [c47]Qin Ruan, Jin Xu, Susan Leavy, Brian Mac Namee, Ruihai Dong:
Rewriting Bias: Mitigating Media Bias in News Recommender Systems through Automated Rewriting. UMAP 2024: 67-77 - [d1]Qin Ruan, Jin Xu, Susan Leavy, Brian Mac Namee, Ruihai Dong:
Rewritten Media Bias News Headlines. Zenodo, 2024
- [i22]Siteng Ma, Haochang Wu, Aonghus Lawlor, Ruihai Dong:
Breaking the Barrier: Selective Uncertainty-based Active Learning for Medical Image Segmentation. CoRR abs/2401.16298 (2024) - [i21]Rian Dolphin, Barry Smyth, Ruihai Dong:
Contrastive Learning of Asset Embeddings from Financial Time Series. CoRR abs/2407.18645 (2024) - [i20]Qin Ruan, Jin Xu, Ruihai Dong, Arjumand Younus, Tai Tan Mai, Barry O'Sullivan, Susan Leavy:
ARTAI: An Evaluation Platform to Assess Societal Risk of Recommender Algorithms. CoRR abs/2409.12396 (2024) - [i19]Yingjie Niu, Lanxin Lu, Rian Dolphin, Valerio Potì, Ruihai Dong:
Evaluating Financial Relational Graphs: Interpretation Before Prediction. CoRR abs/2410.07216 (2024) - [i18]Dairui Liu, Honghui Du, Boming Yang, Neil Hurley, Aonghus Lawlor, Irene Li, Derek Greene, Ruihai Dong:
Transformers4NewsRec: A Transformer-based News Recommendation Framework. CoRR abs/2410.13125 (2024) - 2023
- [j11]Yu An, Ruihai Dong:
Understanding the Effect of Different Prior Knowledge on CNN Fault Interpreter. IEEE Access 11: 15058-15068 (2023) - [j10]Cheng Zhang, Tianqi Zu, Yibin Hou, Jian He, Shengqi Yang, Ruihai Dong:
Human activity recognition based on multi-modal fusion. CCF Trans. Pervasive Comput. Interact. 5(3): 321-332 (2023) - [c46]Yingjie Niu, Linyi Yang, Ruihai Dong, Yue Zhang:
Learning to Generalize for Cross-domain QA. ACL (Findings) 2023: 1298-1313 - [c45]Qin Ruan, Brian Mac Namee, Ruihai Dong:
Reducing Media Bias in News Headlines. AICS 2023: 1-4 - [c44]Tendai Mukande, Esraa Ali, Annalina Caputo, Ruihai Dong, Noel E. O'Connor:
A Flash Attention Transformer for Multi-Behaviour Recommendation. CIKM 2023: 4210-4214 - [c43]Rian Dolphin, Barry Smyth, Ruihai Dong:
A Case-Based Reasoning Approach to Company Sector Classification Using a Novel Time-Series Case Representation. ICCBR 2023: 375-390 - [c42]Tendai Mukande, Esraa Ali, Annalina Caputo, Ruihai Dong, Noel E. O'Connor:
A Sparse Sinkhorn Transformer for Multi-Behaviour Recommendation. ICEBE 2023: 90-96 - [c41]Haiwen Du, Zheng Ju, Yu An, Honghui Du, Dongjie Zhu, Zhaoshuo Tian, Aonghus Lawlor, Ruihai Dong:
Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases. ICONIP (15) 2023: 125-139 - [c40]Siteng Ma, Yu An, Jing Wang, Aonghus Lawlor, Ruihai Dong:
Adaptive Adversarial Samples Based Active Learning for Medical Image Classification. ICPRAM 2023: 751-758 - [c39]Boming Yang, Dairui Liu, Toyotaro Suzumura, Ruihai Dong, Irene Li:
✨ Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations. RecSys 2023: 24-34 - [c38]Qin Ruan, Brian Mac Namee, Ruihai Dong:
Unveiling the Relationship Between News Recommendation Algorithms and Media Bias: A Simulation-Based Analysis of the Evolution of Bias Prevalence. SGAI Conf. 2023: 210-215 - [c37]Qin Ruan, Brian Mac Namee, Ruihai Dong:
The Influence of Media Bias on News Recommender Systems. UMAP 2023: 301-305 - [i17]Rian Dolphin, Barry Smyth, Ruihai Dong:
Industry Classification Using a Novel Financial Time-Series Case Representation. CoRR abs/2305.00245 (2023) - [i16]Yingjie Niu, Linyi Yang, Ruihai Dong, Yue Zhang:
Learning to Generalize for Cross-domain QA. CoRR abs/2305.08208 (2023) - [i15]Xuefei Jiang, Dairui Liu, Ruihai Dong:
Enhancing Topic Extraction in Recommender Systems with Entropy Regularization. CoRR abs/2306.07403 (2023) - [i14]Dairui Liu, Derek Greene, Irene Li, Ruihai Dong:
Topic-Centric Explanations for News Recommendation. CoRR abs/2306.07506 (2023) - [i13]Boming Yang, Dairui Liu, Toyotaro Suzumura, Ruihai Dong, Irene Li:
Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations. CoRR abs/2307.06576 (2023) - [i12]Haiwen Du, Zheng Ju, Yu An, Honghui Du, Dongjie Zhu, Zhaoshuo Tian, Aonghus Lawlor, Ruihai Dong:
Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases. CoRR abs/2308.01138 (2023) - [i11]Dairui Liu, Boming Yang, Honghui Du, Derek Greene, Aonghus Lawlor, Ruihai Dong, Irene Li:
RecPrompt: A Prompt Tuning Framework for News Recommendation Using Large Language Models. CoRR abs/2312.10463 (2023) - 2022
- [j9]Qinqin Wang, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Barry Smyth, Aonghus Lawlor, Ruihai Dong:
Learning Domain-Independent Representations via Shared Weight Auto-Encoder for Transfer Learning in Recommender Systems. IEEE Access 10: 71961-71972 (2022) - [j8]Haiwen Du, Yu An, Qing Ye, Jiulin Guo, Lu Liu, Dongjie Zhu, Conrad Childs, John Walsh, Ruihai Dong:
Disentangling Noise Patterns From Seismic Images: Noise Reduction and Style Transfer. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [c36]Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth:
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting. AAAI 2022: 11604-11612 - [c35]Dairui Liu, Derek Greene, Ruihai Dong:
A Novel Perspective to Look At Attention: Bi-level Attention-based Explainable Topic Modeling for News Classification. ACL (Findings) 2022: 2280-2290 - [c34]Rian Dolphin, Barry Smyth, Ruihai Dong:
A Machine Learning Approach to Industry Classification in Financial Markets. AICS 2022: 81-94 - [c33]Qinqin Wang, Khalil Muhammad, Diarmuid O'Reilly-Morgan, Barry Smyth, Elias Z. Tragos, Aonghus Lawlor, Neil Hurley, Ruihai Dong:
MARF: User-Item Mutual Aware Representation with Feedback. ICWE 2022: 3-15 - [c32]Qinqin Wang, Elias Z. Tragos, Neil Hurley, Barry Smyth, Aonghus Lawlor, Ruihai Dong:
Entity-Enhanced Graph Convolutional Network for Accurate and Explainable Recommendation. UMAP 2022: 79-88 - [i10]Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth:
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting. CoRR abs/2201.01770 (2022) - [i9]Rian Dolphin, Barry Smyth, Ruihai Dong:
Stock Embeddings: Learning Distributed Representations for Financial Assets. CoRR abs/2202.08968 (2022) - [i8]Dairui Liu, Derek Greene, Ruihai Dong:
A Novel Perspective to Look At Attention: Bi-level Attention-based Explainable Topic Modeling for News Classification. CoRR abs/2203.07216 (2022) - 2021
- [j7]Bichen Shi, Elias Z. Tragos, Makbule Gulcin Ozsoy, Ruihai Dong, Neil Hurley, Barry Smyth, Aonghus Lawlor:
DARES: An Asynchronous Distributed Recommender System Using Deep Reinforcement Learning. IEEE Access 9: 83340-83354 (2021) - [j6]Leyuan Liu, Jian He, Keyan Ren, Jonathan Lungu, Yibin Hou, Ruihai Dong:
An Information Gain-Based Model and an Attention-Based RNN for Wearable Human Activity Recognition. Entropy 23(12): 1635 (2021) - [j5]Yu An, Jiulin Guo, Qing Ye, Conrad Childs, John Walsh, Ruihai Dong:
Deep convolutional neural network for automatic fault recognition from 3D seismic datasets. Comput. Geosci. 153: 104776 (2021) - [j4]Lei Li, Li Chen, Ruihai Dong:
CAESAR: context-aware explanation based on supervised attention for service recommendations. J. Intell. Inf. Syst. 57(1): 147-170 (2021) - [c31]Linyi Yang, Jiazheng Li, Padraig Cunningham, Yue Zhang, Barry Smyth, Ruihai Dong:
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis. ACL/IJCNLP (1) 2021: 306-316 - [c30]Qin Ruan, Brian Mac Namee, Ruihai Dong:
Bias Bubbles: Using Semi-Supervised Learning to Measure How Many Biased News Articles Are Around Us. AICS 2021: 153-164 - [c29]Sinuo Deng, Lifang Wu, Ge Shi, Heng Zhang, Wenjin Hu, Ruihai Dong:
Emotion Class-Wise Aware Loss for Image Emotion Classification. CICAI 2021: 553-564 - [c28]Rian Dolphin, Barry Smyth, Yang Xu, Ruihai Dong:
Measuring Financial Time Series Similarity with a View to Identifying Profitable Stock Market Opportunities. ICCBR 2021: 64-78 - [c27]Gechuan Zhang, Dairui Liu, Barry Smyth, Ruihai Dong:
Deciphering Ancient Chinese Oracle Bone Inscriptions Using Case-Based Reasoning. ICCBR 2021: 309-324 - [c26]Ming He, Tong Shen, Ruihai Dong:
Conversation and Recommendation: Knowledge-Enhanced Personalized Dialog System. ICWE 2021: 209-224 - [i7]Irene Li, Tianxiao Li, Yixin Li, Ruihai Dong, Toyotaro Suzumura:
Heterogeneous Graph Neural Networks for Multi-label Text Classification. CoRR abs/2103.14620 (2021) - [i6]Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong:
Fact Check: Analyzing Financial Events from Multilingual News Sources. CoRR abs/2106.15221 (2021) - [i5]Linyi Yang, Jiazheng Li, Pádraig Cunningham, Yue Zhang, Barry Smyth, Ruihai Dong:
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis. CoRR abs/2106.15231 (2021) - [i4]Rian Dolphin, Barry Smyth, Yang Xu, Ruihai Dong:
Measuring Financial Time Series Similarity With a View to Identifying Profitable Stock Market Opportunities. CoRR abs/2107.03926 (2021) - [i3]Qin Ruan, Brian Mac Namee, Ruihai Dong:
Pseudo-labelling Enhanced Media Bias Detection. CoRR abs/2107.07705 (2021) - 2020
- [j3]Jian He, Cheng Zhang, Xinlin He, Ruihai Dong:
Visual Recognition of traffic police gestures with convolutional pose machine and handcrafted features. Neurocomputing 390: 248-259 (2020) - [j2]Leyuan Liu, Yibin Hou, Jian He, Jonathan Lungu, Ruihai Dong:
An Energy-Efficient Fall Detection Method Based on FD-DNN for Elderly People. Sensors 20(15): 4192 (2020) - [c25]Jiazheng Li, Linyi Yang, Barry Smyth, Ruihai Dong:
MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction. CIKM 2020: 3063-3070 - [c24]Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong:
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification. COLING 2020: 6150-6160 - [c23]Yu An, Qing Ye, Jiulin Guo, Ruihai Dong:
Overlap Training to Mitigate Inconsistencies Caused by Image Tiling in CNNs. SGAI Conf. 2020: 35-48 - [c22]Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong:
HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction. WWW 2020: 441-451 - [i2]Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong:
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification. CoRR abs/2010.12512 (2020)
2010 – 2019
- 2019
- [c21]Lei Li, Ruihai Dong, Li Chen:
Context-Aware Co-attention Neural Network for Service Recommendations. ICDE Workshops 2019: 201-208 - [i1]Linyi Yang, Zheng Zhang, Su Xiong, Lirui Wei, James Ng, Lina Xu, Ruihai Dong:
Explainable Text-Driven Neural Network for Stock Prediction. CoRR abs/1902.04994 (2019) - 2018
- [c20]Zining Wang, Jianli Liu, Ruihai Dong:
Intelligent Auto-grading System. CCIS 2018: 430-435 - [c19]Linyi Yang, Zheng Zhang, Su Xiong, Lirui Wei, James Ng, Lina Xu, Ruihai Dong:
Explainable Text-Driven Neural Network for Stock Prediction. CCIS 2018: 441-445 - [c18]Yichao Lu, Ruihai Dong, Barry Smyth:
Convolutional Matrix Factorization for Recommendation Explanation. IUI Companion 2018: 34:1-34:2 - [c17]Yichao Lu, Ruihai Dong, Barry Smyth:
Why I like it: multi-task learning for recommendation and explanation. RecSys 2018: 4-12 - [c16]Yichao Lu, Ruihai Dong, Barry Smyth:
Coevolutionary Recommendation Model: Mutual Learning between Ratings and Reviews. WWW 2018: 773-782 - 2017
- [c15]Linyi Yang, Tin Lok James Ng, Catherine Mooney, Ruihai Dong:
Multi-level Attention-Based Neural Networks for Distant Supervised Relation Extraction. AICS 2017: 206-218 - [c14]Ruihai Dong, Barry Smyth:
User-Based Opinion-based Recommendation. IJCAI 2017: 4821-4825 - 2016
- [j1]Ruihai Dong, Michael P. O'Mahony, Markus Schaal, Kevin McCarthy, Barry Smyth:
Combining similarity and sentiment in opinion mining for product recommendation. J. Intell. Inf. Syst. 46(2): 285-312 (2016) - [c13]Ruihai Dong, Barry Smyth:
Personalized Opinion-Based Recommendation. ICCBR 2016: 93-107 - [c12]Yichao Lu, Ruihai Dong, Barry Smyth:
Context-Aware Sentiment Detection from Ratings. SGAI Conf. 2016: 87-101 - [c11]Ruihai Dong, Barry Smyth:
From More-Like-This to Better-Than-This: Hotel Recommendations from User Generated Reviews. UMAP 2016: 309-310 - 2015
- [p1]Ruihai Dong, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth:
Case-Studies in Mining User-Generated Reviews for Recommendation. Advances in Social Media Analysis 2015: 105-127 - 2014
- [c10]Ruihai Dong, Michael P. O'Mahony, Barry Smyth:
Further Experiments in Opinionated Product Recommendation. ICCBR 2014: 110-124 - 2013
- [c9]Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth:
Opinionated Product Recommendation. ICCBR 2013: 44-58 - [c8]Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth:
Mining Features and Sentiment from Review Experiences. ICCBR 2013: 59-73 - [c7]Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Barry Smyth:
Topic Extraction from Online Reviews for Classification and Recommendation. IJCAI 2013: 1310-1316 - [c6]Ruihai Dong, Michael P. O'Mahony, Markus Schaal, Kevin McCarthy, Barry Smyth:
Sentimental product recommendation. RecSys 2013: 411-414 - 2012
- [c5]Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth:
Harnessing the Experience Web to Support User-Generated Product Reviews. ICCBR 2012: 62-76 - [c4]Ruihai Dong, Kevin McCarthy, Michael P. O'Mahony, Markus Schaal, Barry Smyth:
Towards an intelligent reviewer's assistant: recommending topics to help users to write better product reviews. IUI 2012: 159-168 - [c3]Ruihai Dong, Kevin McCarthy, Michael P. O'Mahony, Markus Schaal, Barry Smyth:
First demonstration of the intelligent reviewer's assistant. IUI 2012: 337-338 - [c2]Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth:
The demonstration of the reviewer's assistant. RecSys 2012: 297-298 - [c1]Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth:
Unsupervised Topic Extraction for the Reviewer's Assistant. SGAI Conf. 2012: 317-330
Coauthor Index
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