Dr Guangyuan Piao

    Maynooth International Engineering College, Computer Science, Hamilton Institute

    Lecturer/ Assistant Professor

    Biography

    Research
    Guangyuan Piao is currently a Lecturer/Assistant Professor at Maynooth University, Ireland with research interest in web mining, social media mining, recommender systems with knowledge graphs, knowledge graph mining and information retrieval. Prior to the current position, he was a research scientist at NOKIA Bell Labs with the research interest of AIOps (Artificial Intelligence for IT Operations) and applied AI technologies to solve challenging real-world problems in the context of networked systems. He did his PhD at the Insight Research Centre for Data Analytics, NUI Galway Ireland with the scholarship from SAP and SFI (Science Foundation Ireland). He has been actively publishing and giving tutorials in top-tier AI and Systems venues such as Foundations and Trends® in Information Retrieval, UMUAI, IJCAI, CIKM, ESWC, and Eurosys. He has served as a program committee or reviewer for both AI and Systems conferences such as WWW, Web Science, AAAI, ISWC, ESWC, CIKM, Middleware, and EuCNC. [Personal Page: https://parklize.github.io/]

    Education
    Guangyuan Piao received his B.Sc. degree in Computer Science from Jilin University in China, and received his M.Eng. degree in information engineering from Yonsei University in South Korea. He holds a PhD from Data Science Institute at National University of Ireland Galway in Ireland with the research topic of “Semantics-aware User Modeling and Recommender Systems”. Before joining Maynooth University, he worked as a research scientist with the focus on AIOps at NOKIA Bell Labs. 

    Teaching
    Guangyuan has contributed to both undergraduate and postgraduate courses on a wide range of topics such as Object-Oriented Programming (OOP) and Semantic Web for Business during his master and PhD studies, and Algorithms and Data Structure, Multimedia Technology, and supervisor & critical skills project modules at Maynooth. Guangyuan has also given tutorials on mining user interests from social media in IJCAI and CKIM. 

    Research Interests

    • User modeling on the Web (e.g., social media or MOOC platforms) to understand user behavior and characteristics (e.g., mining user interests)
    • Semantics-Aware Recommender Systems with Knowledge Graphs
    • Applied Deep Learning for Text Mining, Recommender Systems
    • Mining open Knowedge Grpah/Base such as Wikipedia, DBpedia, and Wikidata
    • AIOps (e.g., anomaly detection, time series forecasting)

    Books

      Year Publication
    2017 Inferring User Interests for Passive Users on Twitter by Leveraging Followee Biographies.
    Piao, Guangyuan and Breslin, J.G. John G. (2017) Inferring User Interests for Passive Users on Twitter by Leveraging Followee Biographies. : Springer. [DOI] [Details]

    Peer Reviewed Journals

      Year Publication
    2021 'Data-driven Energy Conservation in Cellular Networks: A Systems Approach'
    Premsankar G.;Piao G.;Nicholson P.K.;Di Francesco M.;Lugones D. (2021) 'Data-driven Energy Conservation in Cellular Networks: A Systems Approach'. IEEE Transactions on Network and Service Management, [DOI] [Details]
    2020 'Extracting, Mining and Predicting Users’ Interests from Social Media'
    Fattane Zarrinkalam and Stefano Faralli and Guangyuan Piao and Ebrahim Bagheri (2020) 'Extracting, Mining and Predicting Users’ Interests from Social Media'. Foundations and Trends® in Information Retrieval, 14 (5):445-617 [DOI] [Details]
    2018 'Inferring User Interests in Microblogging Social Networks: A Survey (accepted)'
    Piao, Guangyuan and Breslin, John G (2018) 'Inferring User Interests in Microblogging Social Networks: A Survey (accepted)'. User Modeling and User-Adapted Interaction, [full-text] [Details]

    Conference Publications

      Year Publication
    2021 Geometric Heuristics for Transfer Learning in Decision Trees
    Chaubal S.;Rzepecki M.;Nicholson P.K.;Piao G.;Sala A. (2021) Geometric Heuristics for Transfer Learning in Decision Trees International Conference on Information and Knowledge Management, Proceedings , pp.151-160 [DOI] [full-text] [Details]
    2021 Learning to Predict the Departure Dynamics of Wikidata Editors
    Piao G.;Huang W. (2021) Learning to Predict the Departure Dynamics of Wikidata Editors Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , pp.39-55 [DOI] [Details]
    2021 A Simple Language Independent Approach for Distinguishing Individuals on Social Media
    Piao G. (2021) A Simple Language Independent Approach for Distinguishing Individuals on Social Media HT 2021 - Proceedings of the 32nd ACM Conference on Hypertext and Social Media , pp.251-256 [DOI] [full-text] [Details]
    2021 Deadline-Aware TDMA Scheduling for Multihop Networks Using Reinforcement Learning
    Chilukuri S.;Piao G.;Lugones D.;Pesch D. (2021) Deadline-Aware TDMA Scheduling for Multihop Networks Using Reinforcement Learning 2021 IFIP Networking Conference, IFIP Networking 2021 [DOI] [full-text] [Details]
    2021 Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach
    Huang W.;Laitonjam N.;Piao G.;Hurley N.J. (2021) Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , pp.206-218 [DOI] [Details]
    2021 Scholarly Text Classification with Sentence BERT and Entity Embeddings
    Piao G. (2021) Scholarly Text Classification with Sentence BERT and Entity Embeddings Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , pp.79-87 [DOI] [Details]
    2020 Mining User Interests from Social Media
    Zarrinkalam, Fattane and Piao, Guangyuan and Faralli, Stefano and Bagheri, Ebrahim (2020) Mining User Interests from Social Media Proceedings of the 29th ACM International Conference on Information & Knowledge Management New York, NY, USA, [full-text] [Details]
    2020 Env2Vec: accelerating VNF testing with deep learning
    Piao, Guangyuan and Nicholson, Patrick K and Lugones, Diego (2020) Env2Vec: accelerating VNF testing with deep learning Proceedings of the Fifteenth European Conference on Computer Systems , pp.1-16 [full-text] [Details]
    2018 Transfer Learning for Item Recommendations and Knowledge Graph Completion in Item Related Domains via a Co-Factorization Model
    Piao, Guangyuan and Breslin, John G. (2018) Transfer Learning for Item Recommendations and Knowledge Graph Completion in Item Related Domains via a Co-Factorization Model The 15th Extended Semantic Web Conference [full-text] [Details]
    2018 Financial Aspect and Sentiment Predictions with Deep Neural Networks: An Ensemble Approach
    Piao, Guangyuan and Breslin, John G. (2018) Financial Aspect and Sentiment Predictions with Deep Neural Networks: An Ensemble Approach Financial Opinion Mining and Question Answering Workshop at The Web Conference (WWW) [full-text] [Details]
    2017 Leveraging Followee List Memberships for Inferring User Interests for Passive Users on Twitter
    Piao, Guangyuan and Breslin, J.G. John G. (2017) Leveraging Followee List Memberships for Inferring User Interests for Passive Users on Twitter HT 2017 - Proceedings of the 28th ACM Conference on Hypertext and Social Media Prague, Czech Republic, [full-text] [Details]
    2016 Exploring dynamics and semantics of user interests for user modeling on Twitter for link recommendations
    Piao, Guangyuan and Breslin, J.G. John G (2016) Exploring dynamics and semantics of user interests for user modeling on Twitter for link recommendations Proceedings of the 12th International Conference on Semantic Systems Leipzig, Germany, , pp.81-88 [full-text] [Details]
    2016 Analyzing MOOC entries of professionals on linked in for user modeling and personalized MOOC recommendations
    Piao, G. and Breslin, J.G. (2016) Analyzing MOOC entries of professionals on linked in for user modeling and personalized MOOC recommendations UMAP 2016 - Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization [full-text] [Details]
    2016 Measuring semantic distance for linked open data-enabled recommender systems
    Piao, G. and Breslin, J.G. (2016) Measuring semantic distance for linked open data-enabled recommender systems Proceedings of the ACM Symposium on Applied Computing [full-text] [Details]
    2016 User modeling on twitter with wordnet synsets and dbpedia concepts for personalized recommendations
    Piao, Guangyuan and Breslin, J.G. John G. (2016) User modeling on twitter with wordnet synsets and dbpedia concepts for personalized recommendations International Conference on Information and Knowledge Management, Proceedings Indianapolis, Indiana, USA, , pp.2057-2060 [full-text] [Details]

    Honours and Awards

      Year Title Awarding Body
    2016 Best Paper Award International Conference on Semantic Systems
    2018 1st place in the Semantic Sentiment Analysis challenge@ESWC Extended Semantic Web Conference
    2020 Best Student Paper Award Asian Conference on Machine Learning
    2018 Best Paper Award The 1st Workshop on Deep Learning for Knowledge Graphs and Semantic Technologies at the 15th Extended Semantic Web Conference (ESWC)
    2019 Outstanding Achievement Award NOKIA Bell Labs

    Employment

      Employer Position From / To
    Hyundai Mobis IT Administrative Assitant /
    Yonsei University Teaching Assistant /
    National University of Ireland Galway Teaching Assistant /
    NOKIA Bell Labs Research Scientist /

    Reviews

      Journal Role
    International Conference On Information And Knowledge Management, Proceedings Reviewer
    Cognitive Systems Research Reviewer