Ruihai Dong

According to our database, Ruihai Dong authored at least 81 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning to compose diversified prompts for image emotion classification.

Sinuo Deng, Lifang Wu, Ge Shi, Lehao Xing, Meng Jian, Ye Xiang, Ruihai Dong

Comput. Vis. Media, December, 2024

Transformers4NewsRec: A Transformer-based News Recommendation Framework.

Dairui Liu, Honghui Du, Boming Yang, Neil Hurley, Aonghus Lawlor, Irene Li, Derek Greene, Ruihai Dong

CoRR, 2024

ARTAI: An Evaluation Platform to Assess Societal Risk of Recommender Algorithms.

Qin Ruan, Jin Xu, Ruihai Dong, Arjumand Younus, Tai Tan Mai, Barry O'Sullivan, Susan Leavy

CoRR, 2024

Model-data-driven adversarial active learning for brain tumor segmentation.

Siteng Ma, Prateek Mathur, Zheng Ju, Aonghus Lawlor, Ruihai Dong

Comput. Biol. Medicine, 2024

A Comparative Study of Vision Transformer and Convolutional Neural Network Models in Geological Fault Detection.

Jing Wang, Siteng Ma, Yu An, Ruihai Dong

IEEE Access, 2024

The Effects of Media Bias on News Recommendations.

Qin Ruan, Brian Mac Namee, Ruihai Dong

IEEE Access, 2024

Rewriting Bias: Mitigating Media Bias in News Recommender Systems through Automated Rewriting.

Qin Ruan, Jin Xu, Susan Leavy, Brian Mac Namee, Ruihai Dong

Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, 2024

EARL: Workshop on Evaluating and Applying Recommendation Systems with Large Language Models.

Irene Li, Ruihai Dong, Lei Li, Li Chen

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Adaptive Curriculum Query Strategy for Active Learning in Medical Image Classification.

Siteng Ma, Honghui Du, Kathleen M. Curran, Aonghus Lawlor, Ruihai Dong

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Breaking the Barrier: Selective Uncertainty-Based Active Learning for Medical Image Segmentation.

Siteng Ma, Haochang Wu, Aonghus Lawlor, Ruihai Dong

Proceedings of the IEEE International Conference on Acoustics, 2024

Evaluating Financial Relational Graphs: Interpretation Before Prediction.

Yingjie Niu, Lanxin Lu, Rian Dolphin, Valerio Potì, Ruihai Dong

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Contrastive Learning of Asset Embeddings from Financial Time Series.

Rian Dolphin, Barry Smyth, Ruihai Dong

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

MMCRec: Towards Multi-modal Generative AI in Conversational Recommendation.

Tendai Mukande, Esraa Ali, Annalina Caputo, Ruihai Dong, Noel E. O'Connor

Proceedings of the Advances in Information Retrieval, 2024

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

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Human activity recognition based on multi-modal fusion.

Cheng Zhang, Tianqi Zu, Yibin Hou, Jian He, Shengqi Yang, Ruihai Dong

CCF Trans. Pervasive Comput. Interact., September, 2023

RecPrompt: A Prompt Tuning Framework for News Recommendation Using Large Language Models.

Dairui Liu, Boming Yang, Honghui Du, Derek Greene, Aonghus Lawlor, Ruihai Dong, Irene Li

CoRR, 2023

Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations.

Boming Yang, Dairui Liu, Toyotaro Suzumura, Ruihai Dong, Irene Li

CoRR, 2023

Topic-Centric Explanations for News Recommendation.

Dairui Liu, Derek Greene, Irene Li, Ruihai Dong

CoRR, 2023

Enhancing Topic Extraction in Recommender Systems with Entropy Regularization.

Xuefei Jiang, Dairui Liu, Ruihai Dong

CoRR, 2023

Industry Classification Using a Novel Financial Time-Series Case Representation.

Rian Dolphin, Barry Smyth, Ruihai Dong

CoRR, 2023

Understanding the Effect of Different Prior Knowledge on CNN Fault Interpreter.

Yu An, Ruihai Dong

IEEE Access, 2023

The Influence of Media Bias on News Recommender Systems.

Qin Ruan, Brian Mac Namee, Ruihai Dong

Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 2023

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

Proceedings of the Artificial Intelligence XL, 2023

✨ Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations.

Boming Yang, Dairui Liu, Toyotaro Suzumura, Ruihai Dong, Irene Li

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Adaptive Adversarial Samples Based Active Learning for Medical Image Classification.

Siteng Ma, Yu An, Jing Wang, Aonghus Lawlor, Ruihai Dong

Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023

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

Proceedings of the Neural Information Processing - 30th International Conference, 2023

A Sparse Sinkhorn Transformer for Multi-Behaviour Recommendation.

Tendai Mukande, Esraa Ali, Annalina Caputo, Ruihai Dong, Noel E. O'Connor

Proceedings of the IEEE International Conference on e-Business Engineering, 2023

A Case-Based Reasoning Approach to Company Sector Classification Using a Novel Time-Series Case Representation.

Rian Dolphin, Barry Smyth, Ruihai Dong

Proceedings of the Case-Based Reasoning Research and Development, 2023

A Flash Attention Transformer for Multi-Behaviour Recommendation.

Tendai Mukande, Esraa Ali, Annalina Caputo, Ruihai Dong, Noel E. O'Connor

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Reducing Media Bias in News Headlines.

Qin Ruan, Brian Mac Namee, Ruihai Dong

Proceedings of the 31st Irish Conference on Artificial Intelligence and Cognitive Science, 2023

Learning to Generalize for Cross-domain QA.

Yingjie Niu, Linyi Yang, Ruihai Dong, Yue Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Disentangling Noise Patterns From Seismic Images: Noise Reduction and Style Transfer.

Haiwen Du, Yu An, Qing Ye, Jiulin Guo, Lu Liu, Dongjie Zhu, Conrad Childs, John Walsh, Ruihai Dong

IEEE Trans. Geosci. Remote. Sens., 2022

Stock Embeddings: Learning Distributed Representations for Financial Assets.

Rian Dolphin, Barry Smyth, Ruihai Dong

CoRR, 2022

Learning Domain-Independent Representations via Shared Weight Auto-Encoder for Transfer Learning in Recommender Systems.

Qinqin Wang, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Barry Smyth, Aonghus Lawlor, Ruihai Dong

IEEE Access, 2022

Entity-Enhanced Graph Convolutional Network for Accurate and Explainable Recommendation.

Qinqin Wang, Elias Z. Tragos, Neil Hurley, Barry Smyth, Aonghus Lawlor, Ruihai Dong

Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

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

Proceedings of the Web Engineering - 22nd International Conference, 2022

A Machine Learning Approach to Industry Classification in Financial Markets.

Rian Dolphin, Barry Smyth, Ruihai Dong

Proceedings of the Artificial Intelligence and Cognitive Science - 30th Irish Conference, 2022

A Novel Perspective to Look At Attention: Bi-level Attention-based Explainable Topic Modeling for News Classification.

Dairui Liu, Derek Greene, Ruihai Dong

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting.

Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

CAESAR: context-aware explanation based on supervised attention for service recommendations.

Lei Li, Li Chen, Ruihai Dong

J. Intell. Inf. Syst., 2021

Deep convolutional neural network for automatic fault recognition from 3D seismic datasets.

Yu An, Jiulin Guo, Qing Ye, Conrad Childs, John Walsh, Ruihai Dong

Comput. Geosci., 2021

An Information Gain-Based Model and an Attention-Based RNN for Wearable Human Activity Recognition.

Leyuan Liu, Jian He, Keyan Ren, Jonathan Lungu, Yibin Hou, Ruihai Dong

Entropy, 2021

Pseudo-labelling Enhanced Media Bias Detection.

Qin Ruan, Brian Mac Namee, Ruihai Dong

CoRR, 2021

Fact Check: Analyzing Financial Events from Multilingual News Sources.

Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong

CoRR, 2021

Heterogeneous Graph Neural Networks for Multi-label Text Classification.

Irene Li, Tianxiao Li, Yixin Li, Ruihai Dong, Toyotaro Suzumura

CoRR, 2021

DARES: An Asynchronous Distributed Recommender System Using Deep Reinforcement Learning.

Bichen Shi, Elias Z. Tragos, Makbule Gulcin Ozsoy, Ruihai Dong, Neil Hurley, Barry Smyth, Aonghus Lawlor

IEEE Access, 2021

Conversation and Recommendation: Knowledge-Enhanced Personalized Dialog System.

Ming He, Tong Shen, Ruihai Dong

Proceedings of the Web Engineering - 21st International Conference, 2021

Deciphering Ancient Chinese Oracle Bone Inscriptions Using Case-Based Reasoning.

Gechuan Zhang, Dairui Liu, Barry Smyth, Ruihai Dong

Proceedings of the Case-Based Reasoning Research and Development, 2021

Measuring Financial Time Series Similarity with a View to Identifying Profitable Stock Market Opportunities.

Rian Dolphin, Barry Smyth, Yang Xu, Ruihai Dong

Proceedings of the Case-Based Reasoning Research and Development, 2021

Emotion Class-Wise Aware Loss for Image Emotion Classification.

Sinuo Deng, Lifang Wu, Ge Shi, Heng Zhang, Wenjin Hu, Ruihai Dong

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

Bias Bubbles: Using Semi-Supervised Learning to Measure How Many Biased News Articles Are Around Us.

Qin Ruan, Brian Mac Namee, Ruihai Dong

Proceedings of the 29th Irish Conference on Artificial Intelligence and Cognitive Science 2021, 2021

Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis.

Linyi Yang, Jiazheng Li, Padraig Cunningham, Yue Zhang, Barry Smyth, Ruihai Dong

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

An Energy-Efficient Fall Detection Method Based on FD-DNN for Elderly People.

Leyuan Liu, Yibin Hou, Jian He, Jonathan Lungu, Ruihai Dong

Sensors, 2020

Visual Recognition of traffic police gestures with convolutional pose machine and handcrafted features.

Jian He, Cheng Zhang, Xinlin He, Ruihai Dong

Neurocomputing, 2020

HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction.

Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Overlap Training to Mitigate Inconsistencies Caused by Image Tiling in CNNs.

Yu An, Qing Ye, Jiulin Guo, Ruihai Dong

Proceedings of the Artificial Intelligence XXXVII, 2020

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

Proceedings of the 28th International Conference on Computational Linguistics, 2020

MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction.

Jiazheng Li, Linyi Yang, Barry Smyth, Ruihai Dong

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Context-Aware Co-attention Neural Network for Service Recommendations.

Lei Li, Ruihai Dong, Li Chen

Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019

2018

Coevolutionary Recommendation Model: Mutual Learning between Ratings and Reviews.

Yichao Lu, Ruihai Dong, Barry Smyth

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Why I like it: multi-task learning for recommendation and explanation.

Yichao Lu, Ruihai Dong, Barry Smyth

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Convolutional Matrix Factorization for Recommendation Explanation.

Yichao Lu, Ruihai Dong, Barry Smyth

Proceedings of the 23rd International Conference on Intelligent User Interfaces Companion, 2018

Explainable Text-Driven Neural Network for Stock Prediction.

Linyi Yang, Zheng Zhang, Su Xiong, Lirui Wei, James Ng, Lina Xu, Ruihai Dong

Proceedings of the 5th IEEE International Conference on Cloud Computing and Intelligence Systems, 2018

Intelligent Auto-grading System.

Zining Wang, Jianli Liu, Ruihai Dong

Proceedings of the 5th IEEE International Conference on Cloud Computing and Intelligence Systems, 2018

2017

User-Based Opinion-based Recommendation.

Ruihai Dong, Barry Smyth

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Multi-level Attention-Based Neural Networks for Distant Supervised Relation Extraction.

Linyi Yang, Tin Lok James Ng, Catherine Mooney, Ruihai Dong

Proceedings of the 25th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland, December 7, 2017

2016

Combining similarity and sentiment in opinion mining for product recommendation.

Ruihai Dong, Michael P. O'Mahony, Markus Schaal, Kevin McCarthy, Barry Smyth

J. Intell. Inf. Syst., 2016

From More-Like-This to Better-Than-This: Hotel Recommendations from User Generated Reviews.

Ruihai Dong, Barry Smyth

Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Context-Aware Sentiment Detection from Ratings.

Yichao Lu, Ruihai Dong, Barry Smyth

Proceedings of the Research and Development in Intelligent Systems XXXIII, 2016

Personalized Opinion-Based Recommendation.

Ruihai Dong, Barry Smyth

Proceedings of the Case-Based Reasoning Research and Development, 2016

2015

Case-Studies in Mining User-Generated Reviews for Recommendation.

Ruihai Dong, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth

Proceedings of the Advances in Social Media Analysis, 2015

2014

Further Experiments in Opinionated Product Recommendation.

Ruihai Dong, Michael P. O'Mahony, Barry Smyth

Proceedings of the Case-Based Reasoning Research and Development, 2014

2013

Sentimental product recommendation.

Ruihai Dong, Michael P. O'Mahony, Markus Schaal, Kevin McCarthy, Barry Smyth

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Topic Extraction from Online Reviews for Classification and Recommendation.

Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Barry Smyth

Proceedings of the IJCAI 2013, 2013

Mining Features and Sentiment from Review Experiences.

Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth

Proceedings of the Case-Based Reasoning Research and Development, 2013

Opinionated Product Recommendation.

Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth

Proceedings of the Case-Based Reasoning Research and Development, 2013

2012

Unsupervised Topic Extraction for the Reviewer's Assistant.

Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth

Proceedings of the Research and Development in Intelligent Systems XXIX, 2012

The demonstration of the reviewer's assistant.

Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth

Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

First demonstration of the intelligent reviewer's assistant.

Ruihai Dong, Kevin McCarthy, Michael P. O'Mahony, Markus Schaal, Barry Smyth

Proceedings of the 17th International Conference on Intelligent User Interfaces, 2012

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

Proceedings of the 17th International Conference on Intelligent User Interfaces, 2012

Harnessing the Experience Web to Support User-Generated Product Reviews.

Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth

Proceedings of the Case-Based Reasoning Research and Development, 2012