Research

Publications

Journals and Conferences

• Toward Exploring Knowledge Graphs with LLMs,
  Guangyuan Piao, Mike Mountantonakis, Panagiotis Papadakos, Pournima Sonawane, Aidan OMahony.
  SEMANTiCS, 2024.
  [bibtex]

• Topologies of Reasoning: Demystifying Chains, Trees, and Graphs of Thoughts,
  Maciej Besta, Florim Memedi, Zhenyu Zhang, Robert Gerstenberger, Guangyuan Piao, Nils Blach, Piotr Nyczyk, Marcin Copik, Grzegorz Kwaśniewski, Jürgen Müller, Lukas Gianinazzi, Ales Kubicek, Hubert Niewiadomski, Aidan O'Mahony, Onur Mutlu, Torsten Hoefler
  Under review, 2024

• Renyi Divergence Deep Mutual Learning,
  Weipeng Huang, Junjie Tao, Changbo Deng, Ming Fan, Wenqiang Wan, Qi Xiong, Guangyuan Piao,
  ECML/PKDD [A], 24% acceptance rate, 2023

• Fashion Recommendations with Operational-aware Neural Networks,
  Guangyuan Piao,
  Discovery Challenge at ECML/PKDD [A], 2021.

• Geometric Heuristics for Transfer Learning with Decision Trees,
  Siddhesh Chaubal, Mateusz Rzepecki, Patrick K. Nicholson, Guangyuan Piao, Alessandra Sala,
  CIKM [A], 21.7% acceptance rate, 2021.
  [bibtex]

• Apparatus and a method for processing time series data,
  Guangyuan Piao, Patrick K. Nicholson, Thomas Voith, Diego Lugones,
  Patent, 2021.

• A Simple Language Independent Approach for Distinguishing Individuals onSocial Media,
  Guangyuan Piao,
  Hypertext [A], 2021.
  [bibtex] [code]

• Learning to Predict the Departure Dynamics of Wikidata Editors,
  Guangyuan Piao, Weipeng Huang,
  ISWC [A], 18% acceptance rate, 2021.
  [bibtex] [code]

• Data-driven Energy Conservation in Cellular Networks: A Systems Approach,
  Gopika Premsankar, Guangyuan Piao, Patrick Nicholson, Mario Di Francesco, Diego Lugones,
  IEEE Transactions on Network and Service Management (IF: 3.8), 2021.
  [bibtex]

• Recommending Knowledge Concepts on MOOC Platforms with Meta-path-based Representation Learning,
  Guangyuan Piao,
  EDM [B], Paris, France, 06/2021.
  [bibtex] [code] [video]

• Deadline-Aware TDMA Scheduling for Multihop Networks Using Reinforcement Learning,
  Shanti Chilukuri, Guangyuan Piao, Diego Lugones and Dirk Pesch,
  IFIP Networking [A], 25.9% acceptance rate, Virtual, Finland, 06/2021.
  [bibtex]

• Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach,
  Weipeng Huang, Nishma Laitonjam, Guangyuan Piao, Neil Hurley,
  PAKDD [A], 20% acceptance rate, Delhi, India, 05/2021.
  [bibtex]

• Scholarly Text Classification with Sentence BERT and Entity Embeddings,
  Guangyuan Piao,
  SDPRA Workshop at PAKDD, Delhi, India, 05/2021.
  [bibtex] [code]

• Partially Observable Markov Decision Process Modelling for Assessing Hierarchies,
  Weipeng Huang, Guangyuan Piao, Raul Moreno Salinas, Neil Hurley,
  ACML [Best Student Paper Award], 33% acceptance rate, Bangkok, Thailand, 11/2020.
  [bibtex]

• Regression-enhanced Random Forests with Personalized Patching for COVID-19 Retweet Prediction,
  Guangyuan Piao, Weipeng Huang,
  CIKM AnalytiCup, 10/2020.
  [bibtex] [code]

• Extracting, Mining and Predicting Users’ Interests from Social Media,
  Fattane Zarrinkalam, Stefano Faralli, Guangyuan Piao and Ebrahim Bagheri,
  Foundationsand Trends@ in Information Retrieval [IF:3.5], 2020.
  [bibtex]

• Mining User Interests from Social Media,
  Fattane Zarrinkalam, Stefano Faralli, Guangyuan Piao and Ebrahim Bagheri,
  CIKM Tutorial [A], 10/2020.
  [bibtex] [video]

• Mining User Interests from Social Media,
  Fattane Zarrinkalam, Stefano Faralli, Guangyuan Piao and Ebrahim Bagheri,
  IJCAI Tutorial [A*], 07/2020.
  [bibtex] [video]

• Env2Vec: Accelerating VNF Testing via Deep Learning,
  Guangyuan Piao, Pat Nicholson, Diego Lugones,
  EuroSys [A], 18% acceptance rate, Crete, Greece, 04/2020.
  [bibtex] [video] [ad video]

• Semantics-aware User Modeling and Recommender Systems in Online Social Networks,
  Guangyuan Piao,
  PhD Thesis, National University of Ireland Galway, 2018.
  [bibtex]

• Evaluating Hierarchies through A Partially Observable Markov Decision Processes Methodology,
  Weipeng Huang, Guangyuan Piao, Raul Moreno Salinas, Neil Hurley,
  arXiv:1908.07031, 2018.

• Bayesian Hierarchical Mixture Clustering using Multilevel Hierarchical Dirichlet Processes,
  Weipeng Huang, Nishma Laitonjam, Guangyuan Piao, Neil Hurley,
  arXiv:1905.05022, 2018.

• Domain-Aware Sentiment Classification with GRUs and CNNs,
  Guangyuan Piao and John G. Breslin,
  1st place in the Semantic Sentiment Analysis challenge at ESWC [A], Crete, Greece, 06/2018.
  [bibtex]

• A Study of the Similarities of Entity Embeddings Learned from Different Aspects of a Knowledge Base for Item Recommendations,
  Guangyuan Piao and John G. Breslin,
  Workshop on DL for KGs and Semantic Technologies at ESWC [Best Paper Award], Crete, Greece, 06/2018.
  [bibtex]

• Learning to Rank Tweets with Author-based Long Short-Term Memory Networks,
  Guangyuan Piao and John G. Breslin,
  ICWE [B], Caceres, Spain, 06/2018.
  [bibtex]

• Transfer Learning via A Co-Factorization Model for Item Recommendations and Knowledge Graph Completionin Item Related Domains,
  Guangyuan Piao and John G. Breslin,
  ESWC [A], 26% acceptance rate, Crete, Greece, 06/2018.
  [bibtex] Check [code] by Yixin Cao@WWW'19

• Financial Aspect and Sentiment Predictions with Deep Neural Networks: An Ensemble Approach,
  Guangyuan Piao and John G. Breslin,
  Financial Opinion Mining and Question Answering Challenge at WWW [A*], Lyon, France, 04/2018.
  [bibtex]

• Inferring User Interests in Microblogging Social Networks: A Survey,
  Guangyuan Piao and John G. Breslin,
  UMUAI (IF: 3.4), 2018. [bibtex]

• Factorization Machines Leveraging Lightweight Linked Open Data-enabled Features for Top-N Recommendations ,
  Guangyuan Piao and John G. Breslin,
  WISE [A], 25% acceptance rate, Moscow, Russia, 07/10/2017.
  [bibtex]

• Leveraging Followee List Memberships for Inferring User Interests for Passive Users on Twitter,
  Guangyuan Piao and John G. Breslin,
  Hypertext [A], 27% acceptance rate, Prague, Czech Republic, 04/07/2017.
  [bibtex] [ppt]

• Inferring User Interests for Passive Users on Twitter by Leveraging Followee Biographies,
  Guangyuan Piao and John G. Breslin,
  ECIR [A], 26.7% acceptance rate, Aberdeen, UK, 08/04/2017.
  [bibtex] [ppt]

• Interest Representation, Enrichment, Dynamics, and Propagation: A Study of the Synergetic Effect of Different User Modeling Dimensions for Personalized Recommendations on Twitter,
  Guangyuan Piao and John G. Breslin,
  EKAW [B], 17.5% acceptance for long presentations, Bologna, Italy, 19/11/2016.
  [bibtex] [ppt]

• User Modeling on Twitter with WordNet Synsets and DBpedia Concepts for Personalized Recommendations,
  Guangyuan Piao and John G. Breslin,
  CIKM [A], 23.5% acceptance rate for short, Indianapolis, USA, 24/10/2016.
  [bibtex] [ppt]

• Exploring Dynamics and Semantics of User Interests for User Modeling on Twitter for Link Recommendations,
  Guangyuan Piao and John G. Breslin,
  SEMANTiCS [Best Paper Award], 21% acceptance rate, Leipzig, Germany, 12/09/2016.
  [bibtex] [ppt]

• Towards Comprehensive User Modeling on the Social Web for Personalized Recommendations,
  Guangyuan Piao and John G. Breslin,
  The Doctoral Consortium at UMAP [B], Halifax, Canada, 13/07/2016. Mentor: Tsvi Kuflik
  [bibtex]

• Analyzing MOOC Entries of Professionals on LinkedIn for User Modeling and Personalized MOOC Recommendations,
  Guangyuan Piao and John G. Breslin,
  UMAP [B], Halifax, Canada, 13/07/2016.
  [bibtex]

• Analyzing Aggregated Semantics-enabled User Modeling on Google+ and Twitter for Personalized Link Recommendations,
  Guangyuan Piao and John G. Breslin,
  UMAP [B], 28% acceptance rate for short, Halifax, Canada, 13/07/2016.
  [bibtex] [ppt] [travel report]

• Measuring Semantic Distance for Linked Open Data-enabled Recommender Systems ,
  Guangyuan Piao and John G. Breslin,
  SAC [B], 24% acceptance rate, Pisa, Italy, 04/04/2016.
  [bibtex] [ppt] [travel report] [code]

• Computing the Semantic Similarity of Resources in DBpedia for Recommendation Purposes,
  Guangyuan Piao and John G. Breslin,
  JIST [Best Paper Candidate], 33% acceptance rate, Yichang, China, 12/11/2015.
  [bibtex] [ppt] [travel report]

Others

• Web Archive Ontology (SIOC+CDM)

• MOOC Ontology => schema.org Course extension

• The Metadata Reference Model for the EU GLACIATION Project