Ruihai Dong

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 71

Top Topics

News Recommendation

Human Activity Recognition

Product Recommendation

Top Venues

Publications

Rian Dolphin, Barry Smyth, Ruihai Dong
Contrastive Learning of Asset Embeddings from Financial Time Series. CoRR (2024)
Siteng Ma, Prateek Mathur, Zheng Ju, Aonghus Lawlor, Ruihai Dong
Model-data-driven adversarial active learning for brain tumor segmentation. Comput. Biol. Medicine 176 (2024)
Tendai Mukande, Esraa Ali, Annalina Caputo, Ruihai Dong, Noel E. O'Connor
MMCRec: Towards Multi-modal Generative AI in Conversational Recommendation. ECIR (3) (2024)
Siteng Ma, Haochang Wu, Aonghus Lawlor, Ruihai Dong
Breaking the Barrier: Selective Uncertainty-based Active Learning for Medical Image Segmentation. CoRR (2024)
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)
Qin Ruan, Brian Mac Namee, Ruihai Dong
The Effects of Media Bias on News Recommendations. IEEE Access 12 (2024)
Siteng Ma, Haochang Wu, Aonghus Lawlor, Ruihai Dong
Breaking the Barrier: Selective Uncertainty-Based Active Learning for Medical Image Segmentation. ICASSP (2024)
Rian Dolphin, Barry Smyth, Ruihai Dong
A Case-Based Reasoning Approach to Company Sector Classification Using a Novel Time-Series Case Representation. ICCBR (2023)
Rian Dolphin, Barry Smyth, Ruihai Dong
Industry Classification Using a Novel Financial Time-Series Case Representation. CoRR (2023)
Siteng Ma, Yu An, Jing Wang, Aonghus Lawlor, Ruihai Dong
Adaptive Adversarial Samples Based Active Learning for Medical Image Classification. ICPRAM (2023)
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 (2023)
Dairui Liu, Derek Greene, Irene Li, Ruihai Dong
Topic-Centric Explanations for News Recommendation. CoRR (2023)
Yingjie Niu, Linyi Yang, Ruihai Dong, Yue Zhang
Learning to Generalize for Cross-domain QA. CoRR (2023)
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) (2023)
Xuefei Jiang, Dairui Liu, Ruihai Dong
Enhancing Topic Extraction in Recommender Systems with Entropy Regularization. CoRR (2023)
Tendai Mukande, Esraa Ali, Annalina Caputo, Ruihai Dong, Noel E. O'Connor
A Sparse Sinkhorn Transformer for Multi-Behaviour Recommendation. ICEBE (2023)
Yingjie Niu, Linyi Yang, Ruihai Dong, Yue Zhang
Learning to Generalize for Cross-domain QA. ACL (Findings) (2023)
Tendai Mukande, Esraa Ali, Annalina Caputo, Ruihai Dong, Noel E. O'Connor
A Flash Attention Transformer for Multi-Behaviour Recommendation. CIKM (2023)
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)
Qin Ruan, Brian Mac Namee, Ruihai Dong
The Influence of Media Bias on News Recommender Systems. UMAP (2023)
Boming Yang, Dairui Liu, Toyotaro Suzumura, Ruihai Dong, Irene Li
✨ Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations. RecSys (2023)
Qin Ruan, Brian Mac Namee, Ruihai Dong
Reducing Media Bias in News Headlines. AICS (2023)
Boming Yang, Dairui Liu, Toyotaro Suzumura, Ruihai Dong, Irene Li
Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations. CoRR (2023)
Yu An, Ruihai Dong
Understanding the Effect of Different Prior Knowledge on CNN Fault Interpreter. IEEE Access 11 (2023)
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 (2023)
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)
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 (2022)
Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting. AAAI (2022)
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)
Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting. CoRR (2022)
Rian Dolphin, Barry Smyth, Ruihai Dong
A Machine Learning Approach to Industry Classification in Financial Markets. AICS (2022)
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)
Dairui Liu, Derek Greene, Ruihai Dong
A Novel Perspective to Look At Attention: Bi-level Attention-based Explainable Topic Modeling for News Classification. CoRR (2022)
Rian Dolphin, Barry Smyth, Ruihai Dong
Stock Embeddings: Learning Distributed Representations for Financial Assets. CoRR (2022)
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 (2022)
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)
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 (2021)
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) (2021)
Rian Dolphin, Barry Smyth, Yang Xu, Ruihai Dong
Measuring Financial Time Series Similarity With a View to Identifying Profitable Stock Market Opportunities. CoRR (2021)
Linyi Yang, Jiazheng Li, Pádraig Cunningham, Yue Zhang, Barry Smyth, Ruihai Dong
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis. CoRR (2021)
Rian Dolphin, Barry Smyth, Yang Xu, Ruihai Dong
Measuring Financial Time Series Similarity with a View to Identifying Profitable Stock Market Opportunities. ICCBR (2021)
Lei Li, Li Chen, Ruihai Dong
CAESAR: context-aware explanation based on supervised attention for service recommendations. J. Intell. Inf. Syst. 57 (1) (2021)
Gechuan Zhang, Dairui Liu, Barry Smyth, Ruihai Dong
Deciphering Ancient Chinese Oracle Bone Inscriptions Using Case-Based Reasoning. ICCBR (2021)
Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong
Fact Check: Analyzing Financial Events from Multilingual News Sources. CoRR (2021)
Ming He, Tong Shen, Ruihai Dong
Conversation and Recommendation: Knowledge-Enhanced Personalized Dialog System. ICWE (2021)
Qin Ruan, Brian Mac Namee, Ruihai Dong
Pseudo-labelling Enhanced Media Bias Detection. CoRR (2021)
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 (2021)
Irene Li, Tianxiao Li, Yixin Li, Ruihai Dong, Toyotaro Suzumura
Heterogeneous Graph Neural Networks for Multi-label Text Classification. CoRR (2021)
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)
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)
Sinuo Deng, Lifang Wu, Ge Shi, Heng Zhang, Wenjin Hu, Ruihai Dong
Emotion Class-Wise Aware Loss for Image Emotion Classification. CICAI (2021)
Yu An, Qing Ye, Jiulin Guo, Ruihai Dong
Overlap Training to Mitigate Inconsistencies Caused by Image Tiling in CNNs. SGAI Conf. (2020)
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) (2020)
Jiazheng Li, Linyi Yang, Barry Smyth, Ruihai Dong
MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction. CIKM (2020)
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)
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 (2020)
Jian He, Cheng Zhang, Xinlin He, Ruihai Dong
Visual Recognition of traffic police gestures with convolutional pose machine and handcrafted features. Neurocomputing 390 (2020)
Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong
HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction. WWW (2020)
Lei Li, Ruihai Dong, Li Chen
Context-Aware Co-attention Neural Network for Service Recommendations. ICDE Workshops (2019)
Linyi Yang, Zheng Zhang, Su Xiong, Lirui Wei, James Ng, Lina Xu, Ruihai Dong
Explainable Text-Driven Neural Network for Stock Prediction. CoRR (2019)
Yichao Lu, Ruihai Dong, Barry Smyth
Why I like it: multi-task learning for recommendation and explanation. RecSys (2018)
Yichao Lu, Ruihai Dong, Barry Smyth
Coevolutionary Recommendation Model: Mutual Learning between Ratings and Reviews. WWW (2018)
Linyi Yang, Zheng Zhang, Su Xiong, Lirui Wei, James Ng, Lina Xu, Ruihai Dong
Explainable Text-Driven Neural Network for Stock Prediction. CCIS (2018)
Yichao Lu, Ruihai Dong, Barry Smyth
Convolutional Matrix Factorization for Recommendation Explanation. IUI Companion (2018)
Zining Wang, Jianli Liu, Ruihai Dong
Intelligent Auto-grading System. CCIS (2018)
Ruihai Dong, Barry Smyth
User-Based Opinion-based Recommendation. IJCAI (2017)
Linyi Yang, Tin Lok James Ng, Catherine Mooney, Ruihai Dong
Multi-level Attention-Based Neural Networks for Distant Supervised Relation Extraction. AICS (2017)
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) (2016)
Yichao Lu, Ruihai Dong, Barry Smyth
Context-Aware Sentiment Detection from Ratings. SGAI Conf. (2016)
Ruihai Dong, Barry Smyth
Personalized Opinion-Based Recommendation. ICCBR (2016)
Ruihai Dong, Barry Smyth
From More-Like-This to Better-Than-This: Hotel Recommendations from User Generated Reviews. UMAP (2016)
Ruihai Dong, Michael P. O'Mahony, Barry Smyth
Further Experiments in Opinionated Product Recommendation. ICCBR (2014)
Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth
Opinionated Product Recommendation. ICCBR (2013)
Ruihai Dong, Michael P. O'Mahony, Markus Schaal, Kevin McCarthy, Barry Smyth
Sentimental product recommendation. RecSys (2013)
Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth
Mining Features and Sentiment from Review Experiences. ICCBR (2013)
Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Barry Smyth
Topic Extraction from Online Reviews for Classification and Recommendation. IJCAI (2013)
Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth
The demonstration of the reviewer's assistant. RecSys (2012)
Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth
Unsupervised Topic Extraction for the Reviewer's Assistant. SGAI Conf. (2012)
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)
Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth
Harnessing the Experience Web to Support User-Generated Product Reviews. ICCBR (2012)
Ruihai Dong, Kevin McCarthy, Michael P. O'Mahony, Markus Schaal, Barry Smyth
First demonstration of the intelligent reviewer's assistant. IUI (2012)