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2020 – today
- 2022
[c32]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- [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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