Ruihai Dong - RankMe

114 papers A* 7A 18B 4C 9Misc 1Journal 44Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DF-CoopNet: Cooperative perception via local feature enhancement and global sparse attention. Adv. Eng. Informatics Hui Wu, Yu Xiao, Yisheng Chen, Chongcheng Chen, Ruihai Dong, Ding Lin
2026	A*	`conf`	Edit-Level Tracking of Narrative Changes in 10-K Filings. WWW Xiao Li, Changhong Jin, Yingjie Niu, Jingyi Wang, Ruihai Dong
2026	J	`jnl`	GAPNet: Plug-in Jointly Learning Task-Specific Graph for Dynamic Stock Relation. CoRR Yingjie Niu, Lanxin Lu, Changhong Jin, Ruihai Dong
2026	A	`conf`	Transfer Learning via User-Item Graph Convolution for Enhanced Cross-Domain Recommendation. WSDM Zheng Ju, Qinqin Wang, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Ruihai Dong, Aonghus Lawlor
2025	—	`conf`	A Data-Driven Asset Relation Extraction and Portfolio Optimization Method through Convolution. ICAIF Lanxin Lu, Yingjie Niu, Ruihai Dong, Valerio Potì
2025	A	`conf`	ActiViz: Understanding Sample Selection in Active Learning through Boundary Visualization. CIKM Jie Chen, Honghui Du, Dairui Liu, Siteng Ma, Brian MacNamee, Ruihai Dong
2025	—	`conf`	Algorithmic Transparency: The EU Digital Services Act and Young People's Experiences of Online Platforms. EWAF Megan Nyhan, Susan Leavy, Pranav Narula, Kevin Doherty, Barry O'Sullivan, Ruihai Dong, Izzy Fox, Josephine Griffith
2025	J	`jnl`	Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey. CoRR Siteng Ma, Honghui Du, Yu An, Jing Wang, Qinqin Wang, Haochang Wu, Aonghus Lawlor, Ruihai Dong
2025	A	`conf`	EARL: The 2nd Workshop on Evaluating and Applying Recommender Systems with Large Language Models. RecSys Irene Li, Ruihai Dong, Guillaume Salha-Galvan, Aonghus Lawlor, Dairui Liu, Lei Li
2025	A	`conf`	From Rules to Flexibility: A Resource and Method for SEC Item Extraction in Post-2021 10-K Filings. CIKM Xiao Li, Changhong Jin, Ruihai Dong
2025	B	`conf`	Is Complete Labeling Necessary? Understanding Active Learning in Longitudinal Medical Imaging. IJCNN Siteng Ma, Honghui Du, Prateek Mathur, Brendan S. Kelly, Ronan P. Killeen, Aonghus Lawlor, Ruihai Dong
2025	J	`jnl`	Is Complete Labeling Necessary? Understanding Active Learning in Longitudinal Medical Imaging. CoRR Siteng Ma, Honghui Du, Prateek Mathur, Brendan S. Kelly, Ronan P. Killeen, Aonghus Lawlor, Ruihai Dong
2025	A*	`conf`	MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation. EMNLP 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	—	`conf`	NGAT: A Node-Level Graph Attention Network for Long-Term Stock Prediction. ICANN (4) Yingjie Niu, Mingchuan Zhao, Valerio Potì, Ruihai Dong
2025	J	`jnl`	NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction. CoRR Yingjie Niu, Mingchuan Zhao, Valerio Potì, Ruihai Dong
2025	—	`conf`	Spatial Aggregation for Semi-supervised Active Learning in 3D Medical Image Segmentation. MICCAI (8) Siteng Ma, Honghui Du, Dairui Liu, Kathleen M. Curran, Aonghus Lawlor, Ruihai Dong
2025	J	`jnl`	Topic-Centric Explanations for News Recommendation. Trans. Recomm. Syst. Dairui Liu, Derek Greene, Irene Li, Xuefei Jiang, Ruihai Dong
2025	—	`conf`	Towards Efficient Hypergraph Representation Learning for Multi-Behaviour Recommender Systems. WWW (Companion Volume) Tendai Mukande, Esraa Ali, Annalina Caputo, Ruihai Dong, Noel E. O'Connor
2025	J	`jnl`	Towards Efficient Hypergraph and Multi-LLM Agent Recommender Systems. CoRR Tendai Mukande, Esraa Ali, Annalina Caputo, Ruihai Dong, Noel E. O'Connor
2025	—	`conf`	Two Sides of the Same Coin: How LLMs Reveal Dual Narratives in Annual Reports. ICAIF Xiao Li, Changhong Jin, Yingjie Niu, Ruihai Dong
2024	J	`jnl`	A Comparative Study of Vision Transformer and Convolutional Neural Network Models in Geological Fault Detection. IEEE Access Jing Wang, Siteng Ma, Yu An, Ruihai Dong
2024	J	`jnl`	ARTAI: An Evaluation Platform to Assess Societal Risk of Recommender Algorithms. CoRR Qin Ruan, Jin Xu, Ruihai Dong, Arjumand Younus, Tai Tan Mai, Barry O'Sullivan, Susan Leavy
2024	—	`conf`	Adaptive Curriculum Query Strategy for Active Learning in Medical Image Classification. MICCAI (11) Siteng Ma, Honghui Du, Kathleen M. Curran, Aonghus Lawlor, Ruihai Dong
2024	Misc	`conf`	Breaking the Barrier: Selective Uncertainty-Based Active Learning for Medical Image Segmentation. ICASSP Siteng Ma, Haochang Wu, Aonghus Lawlor, Ruihai Dong
2024	J	`jnl`	Breaking the Barrier: Selective Uncertainty-based Active Learning for Medical Image Segmentation. CoRR Siteng Ma, Haochang Wu, Aonghus Lawlor, Ruihai Dong
2024	—	`conf`	Contrastive Learning of Asset Embeddings from Financial Time Series. ICAIF Rian Dolphin, Barry Smyth, Ruihai Dong
2024	J	`jnl`	Contrastive Learning of Asset Embeddings from Financial Time Series. CoRR Rian Dolphin, Barry Smyth, Ruihai Dong
2024	A	`conf`	EARL: Workshop on Evaluating and Applying Recommendation Systems with Large Language Models. RecSys Irene Li, Ruihai Dong, Lei Li, Li Chen
2024	—	`conf`	Evaluating Financial Relational Graphs: Interpretation Before Prediction. ICAIF Yingjie Niu, Lanxin Lu, Rian Dolphin, Valerio Potì, Ruihai Dong
2024	J	`jnl`	Evaluating Financial Relational Graphs: Interpretation Before Prediction. CoRR Yingjie Niu, Lanxin Lu, Rian Dolphin, Valerio Potì, Ruihai Dong
2024	J	`jnl`	Learning to compose diversified prompts for image emotion classification. Comput. Vis. Media Sinuo Deng, Lifang Wu, Ge Shi, Lehao Xing, Meng Jian, Ye Xiang, Ruihai Dong
2024	—	`conf`	MMCRec: Towards Multi-modal Generative AI in Conversational Recommendation. ECIR (3) Tendai Mukande, Esraa Ali, Annalina Caputo, Ruihai Dong, Noel E. O'Connor
2024	J	`jnl`	Model-data-driven adversarial active learning for brain tumor segmentation. Comput. Biol. Medicine Siteng Ma, Prateek Mathur, Zheng Ju, Aonghus Lawlor, Ruihai Dong
2024	—	`conf`	NLP-Based Analysis of Annual Reports: Asset Volatility Prediction and Portfolio Strategy Application. AICS Xiao Li, Yang Xu, Linyi Yang, Yue Zhang, Ruihai Dong
2024	A	`conf`	RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models. CIKM Dairui Liu, Boming Yang, Honghui Du, Derek Greene, Neil Hurley, Aonghus Lawlor, Ruihai Dong, Irene Li
2024	A	`conf`	Rewriting Bias: Mitigating Media Bias in News Recommender Systems through Automated Rewriting. UMAP Qin Ruan, Jin Xu, Susan Leavy, Brian Mac Namee, Ruihai Dong
2024	J	`jnl`	The Effects of Media Bias on News Recommendations. IEEE Access Qin Ruan, Brian Mac Namee, Ruihai Dong
2024	J	`jnl`	Transformers4NewsRec: A Transformer-based News Recommendation Framework. CoRR Dairui Liu, Honghui Du, Boming Yang, Neil Hurley, Aonghus Lawlor, Irene Li, Derek Greene, Ruihai Dong
2024	—	`conf`	Vulnerable by Design: Reconsidering User Vulnerability and Recommender Systems. BIR/IR4U2 Megan Nyhan, Josephine Griffith, Qin Ruan, Tai Tan Mai, Ruihai Dong, Susan Leavy
2023	C	`conf`	A Case-Based Reasoning Approach to Company Sector Classification Using a Novel Time-Series Case Representation. ICCBR Rian Dolphin, Barry Smyth, Ruihai Dong
2023	A	`conf`	A Flash Attention Transformer for Multi-Behaviour Recommendation. CIKM Tendai Mukande, Esraa Ali, Annalina Caputo, Ruihai Dong, Noel E. O'Connor
2023	—	`conf`	A Sparse Sinkhorn Transformer for Multi-Behaviour Recommendation. ICEBE Tendai Mukande, Esraa Ali, Annalina Caputo, Ruihai Dong, Noel E. O'Connor
2023	C	`conf`	Adaptive Adversarial Samples Based Active Learning for Medical Image Classification. ICPRAM Siteng Ma, Yu An, Jing Wang, Aonghus Lawlor, Ruihai Dong
2023	—	`conf`	Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases. ICONIP (15) Haiwen Du, Zheng Ju, Yu An, Honghui Du, Dongjie Zhu, Zhaoshuo Tian, Aonghus Lawlor, Ruihai Dong
2023	J	`jnl`	Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases. CoRR Haiwen Du, Zheng Ju, Yu An, Honghui Du, Dongjie Zhu, Zhaoshuo Tian, Aonghus Lawlor, Ruihai Dong
2023	J	`jnl`	Enhancing Topic Extraction in Recommender Systems with Entropy Regularization. CoRR Xuefei Jiang, Dairui Liu, Ruihai Dong
2023	J	`jnl`	Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations. CoRR Boming Yang, Dairui Liu, Toyotaro Suzumura, Ruihai Dong, Irene Li
2023	J	`jnl`	Human activity recognition based on multi-modal fusion. CCF Trans. Pervasive Comput. Interact. Cheng Zhang, Tianqi Zu, Yibin Hou, Jian He, Shengqi Yang, Ruihai Dong
2023	J	`jnl`	Industry Classification Using a Novel Financial Time-Series Case Representation. CoRR Rian Dolphin, Barry Smyth, Ruihai Dong
2023	—	`conf`	Learning to Generalize for Cross-domain QA. ACL (Findings) Yingjie Niu, Linyi Yang, Ruihai Dong, Yue Zhang
2023	J	`jnl`	Learning to Generalize for Cross-domain QA. CoRR Yingjie Niu, Linyi Yang, Ruihai Dong, Yue Zhang
2023	J	`jnl`	RecPrompt: A Prompt Tuning Framework for News Recommendation Using Large Language Models. CoRR Dairui Liu, Boming Yang, Honghui Du, Derek Greene, Aonghus Lawlor, Ruihai Dong, Irene Li
2023	—	`conf`	Reducing Media Bias in News Headlines. AICS Qin Ruan, Brian Mac Namee, Ruihai Dong
2023	A	`conf`	The Influence of Media Bias on News Recommender Systems. UMAP Qin Ruan, Brian Mac Namee, Ruihai Dong
2023	J	`jnl`	Topic-Centric Explanations for News Recommendation. CoRR Dairui Liu, Derek Greene, Irene Li, Ruihai Dong
2023	J	`jnl`	Understanding the Effect of Different Prior Knowledge on CNN Fault Interpreter. IEEE Access Yu An, Ruihai Dong
2023	—	`conf`	Unveiling the Relationship Between News Recommendation Algorithms and Media Bias: A Simulation-Based Analysis of the Evolution of Bias Prevalence. SGAI Conf. Qin Ruan, Brian Mac Namee, Ruihai Dong
2023	A	`conf`	✨ Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations. RecSys Boming Yang, Dairui Liu, Toyotaro Suzumura, Ruihai Dong, Irene Li
2022	—	`conf`	A Machine Learning Approach to Industry Classification in Financial Markets. AICS Rian Dolphin, Barry Smyth, Ruihai Dong
2022	—	`conf`	A Novel Perspective to Look At Attention: Bi-level Attention-based Explainable Topic Modeling for News Classification. ACL (Findings) Dairui Liu, Derek Greene, Ruihai Dong
2022	J	`jnl`	A Novel Perspective to Look At Attention: Bi-level Attention-based Explainable Topic Modeling for News Classification. CoRR Dairui Liu, Derek Greene, Ruihai Dong
2022	J	`jnl`	Disentangling Noise Patterns From Seismic Images: Noise Reduction and Style Transfer. IEEE Trans. Geosci. Remote. Sens. Haiwen Du, Yu An, Qing Ye, Jiulin Guo, Lu Liu, Dongjie Zhu, Conrad Childs, John Walsh, Ruihai Dong
2022	A	`conf`	Entity-Enhanced Graph Convolutional Network for Accurate and Explainable Recommendation. UMAP Qinqin Wang, Elias Z. Tragos, Neil Hurley, Barry Smyth, Aonghus Lawlor, Ruihai Dong
2022	J	`jnl`	Learning Domain-Independent Representations via Shared Weight Auto-Encoder for Transfer Learning in Recommender Systems. IEEE Access Qinqin Wang, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Barry Smyth, Aonghus Lawlor, Ruihai Dong
2022	B	`conf`	MARF: User-Item Mutual Aware Representation with Feedback. ICWE Qinqin Wang, Khalil Muhammad, Diarmuid O'Reilly-Morgan, Barry Smyth, Elias Z. Tragos, Aonghus Lawlor, Neil Hurley, Ruihai Dong
2022	A*	`conf`	NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting. AAAI Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth
2022	J	`jnl`	NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting. CoRR Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth
2022	J	`jnl`	Stock Embeddings: Learning Distributed Representations for Financial Assets. CoRR Rian Dolphin, Barry Smyth, Ruihai Dong
2021	J	`jnl`	An Information Gain-Based Model and an Attention-Based RNN for Wearable Human Activity Recognition. Entropy Leyuan Liu, Jian He, Keyan Ren, Jonathan Lungu, Yibin Hou, Ruihai Dong
2021	—	`conf`	Bias Bubbles: Using Semi-Supervised Learning to Measure How Many Biased News Articles Are Around Us. AICS Qin Ruan, Brian Mac Namee, Ruihai Dong
2021	J	`jnl`	CAESAR: context-aware explanation based on supervised attention for service recommendations. J. Intell. Inf. Syst. Lei Li, Li Chen, Ruihai Dong
2021	B	`conf`	Conversation and Recommendation: Knowledge-Enhanced Personalized Dialog System. ICWE Ming He, Tong Shen, Ruihai Dong
2021	J	`jnl`	DARES: An Asynchronous Distributed Recommender System Using Deep Reinforcement Learning. IEEE Access Bichen Shi, Elias Z. Tragos, Makbule Gulcin Ozsoy, Ruihai Dong, Neil Hurley, Barry Smyth, Aonghus Lawlor
2021	C	`conf`	Deciphering Ancient Chinese Oracle Bone Inscriptions Using Case-Based Reasoning. ICCBR Gechuan Zhang, Dairui Liu, Barry Smyth, Ruihai Dong
2021	J	`jnl`	Deep convolutional neural network for automatic fault recognition from 3D seismic datasets. Comput. Geosci. Yu An, Jiulin Guo, Qing Ye, Conrad Childs, John Walsh, Ruihai Dong
2021	—	`conf`	Emotion Class-Wise Aware Loss for Image Emotion Classification. CICAI Sinuo Deng, Lifang Wu, Ge Shi, Heng Zhang, Wenjin Hu, Ruihai Dong
2021	—	`conf`	Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis. ACL/IJCNLP (1) Linyi Yang, Jiazheng Li, Padraig Cunningham, Yue Zhang, Barry Smyth, Ruihai Dong
2021	J	`jnl`	Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis. CoRR Linyi Yang, Jiazheng Li, Pádraig Cunningham, Yue Zhang, Barry Smyth, Ruihai Dong
2021	J	`jnl`	Fact Check: Analyzing Financial Events from Multilingual News Sources. CoRR Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong
2021	J	`jnl`	Heterogeneous Graph Neural Networks for Multi-label Text Classification. CoRR Irene Li, Tianxiao Li, Yixin Li, Ruihai Dong, Toyotaro Suzumura
2021	J	`jnl`	Measuring Financial Time Series Similarity With a View to Identifying Profitable Stock Market Opportunities. CoRR Rian Dolphin, Barry Smyth, Yang Xu, Ruihai Dong
2021	C	`conf`	Measuring Financial Time Series Similarity with a View to Identifying Profitable Stock Market Opportunities. ICCBR Rian Dolphin, Barry Smyth, Yang Xu, Ruihai Dong
2021	J	`jnl`	Pseudo-labelling Enhanced Media Bias Detection. CoRR Qin Ruan, Brian Mac Namee, Ruihai Dong
2020	J	`jnl`	An Energy-Efficient Fall Detection Method Based on FD-DNN for Elderly People. Sensors Leyuan Liu, Yibin Hou, Jian He, Jonathan Lungu, Ruihai Dong
2020	B	`conf`	Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification. COLING Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong
2020	J	`jnl`	Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification. CoRR Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong
2020	A*	`conf`	HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction. WWW Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong
2020	A	`conf`	MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction. CIKM Jiazheng Li, Linyi Yang, Barry Smyth, Ruihai Dong
2020	—	`conf`	Overlap Training to Mitigate Inconsistencies Caused by Image Tiling in CNNs. SGAI Conf. Yu An, Qing Ye, Jiulin Guo, Ruihai Dong
2020	J	`jnl`	Visual Recognition of traffic police gestures with convolutional pose machine and handcrafted features. Neurocomputing Jian He, Cheng Zhang, Xinlin He, Ruihai Dong
2019	—	`conf`	Context-Aware Co-attention Neural Network for Service Recommendations. ICDE Workshops Lei Li, Ruihai Dong, Li Chen
2019	J	`jnl`	Explainable Text-Driven Neural Network for Stock Prediction. CoRR Linyi Yang, Zheng Zhang, Su Xiong, Lirui Wei, James Ng, Lina Xu, Ruihai Dong
2018	A*	`conf`	Coevolutionary Recommendation Model: Mutual Learning between Ratings and Reviews. WWW Yichao Lu, Ruihai Dong, Barry Smyth
2018	—	`conf`	Convolutional Matrix Factorization for Recommendation Explanation. IUI Companion Yichao Lu, Ruihai Dong, Barry Smyth
2018	—	`conf`	Explainable Text-Driven Neural Network for Stock Prediction. CCIS Linyi Yang, Zheng Zhang, Su Xiong, Lirui Wei, James Ng, Lina Xu, Ruihai Dong
2018	—	`conf`	Intelligent Auto-grading System. CCIS Zining Wang, Jianli Liu, Ruihai Dong
2018	A	`conf`	Why I like it: multi-task learning for recommendation and explanation. RecSys Yichao Lu, Ruihai Dong, Barry Smyth
2017	—	`conf`	Multi-level Attention-Based Neural Networks for Distant Supervised Relation Extraction. AICS Linyi Yang, Tin Lok James Ng, Catherine Mooney, Ruihai Dong
2017	A*	`conf`	User-Based Opinion-based Recommendation. IJCAI Ruihai Dong, Barry Smyth
2016	J	`jnl`	Combining similarity and sentiment in opinion mining for product recommendation. J. Intell. Inf. Syst. Ruihai Dong, Michael P. O'Mahony, Markus Schaal, Kevin McCarthy, Barry Smyth
2016	—	`conf`	Context-Aware Sentiment Detection from Ratings. SGAI Conf. Yichao Lu, Ruihai Dong, Barry Smyth
2016	A	`conf`	From More-Like-This to Better-Than-This: Hotel Recommendations from User Generated Reviews. UMAP Ruihai Dong, Barry Smyth
2016	C	`conf`	Personalized Opinion-Based Recommendation. ICCBR Ruihai Dong, Barry Smyth
2015	—	`ch.`	Case-Studies in Mining User-Generated Reviews for Recommendation. Advances in Social Media Analysis Ruihai Dong, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth
2014	C	`conf`	Further Experiments in Opinionated Product Recommendation. ICCBR Ruihai Dong, Michael P. O'Mahony, Barry Smyth
2013	C	`conf`	Mining Features and Sentiment from Review Experiences. ICCBR Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth
2013	C	`conf`	Opinionated Product Recommendation. ICCBR Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth
2013	A	`conf`	Sentimental product recommendation. RecSys Ruihai Dong, Michael P. O'Mahony, Markus Schaal, Kevin McCarthy, Barry Smyth
2013	A*	`conf`	Topic Extraction from Online Reviews for Classification and Recommendation. IJCAI Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Barry Smyth
2012	A	`conf`	First demonstration of the intelligent reviewer's assistant. IUI Ruihai Dong, Kevin McCarthy, Michael P. O'Mahony, Markus Schaal, Barry Smyth
2012	C	`conf`	Harnessing the Experience Web to Support User-Generated Product Reviews. ICCBR Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth
2012	A	`conf`	The demonstration of the reviewer's assistant. RecSys Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth
2012	A	`conf`	Towards an intelligent reviewer's assistant: recommending topics to help users to write better product reviews. IUI Ruihai Dong, Kevin McCarthy, Michael P. O'Mahony, Markus Schaal, Barry Smyth
2012	—	`conf`	Unsupervised Topic Extraction for the Reviewer's Assistant. SGAI Conf. Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth