Computing the Semantic Similarity of Resources in DBpedia for Recommendation Purposes. - Guangyuan Piao; Safina Showkat Ara; John G. Breslin (JIST, 2015)

User Modeling on Twitter with WordNet Synsets and DBpedia Concepts for Personalized Recommendations. - Guangyuan Piao; John G. Breslin (CIKM, 2016)

Interest Representation, Enrichment, Dynamics, and Propagation: A Study of the Synergetic Effect of Different User Modeling Dimensions for Personalized Recommendations on Twitter. - Guangyuan Piao; John G. Breslin (EKAW, 2016)

Exploring Dynamics and Semantics of User Interests for User Modeling on Twitter for Link Recommendations. - Guangyuan Piao; John G. Breslin (SEMANTiCS, 2016)

Exploiting the semantic similarity of interests in a semantic interest graph for social recommendations: student research abstract. - Guangyuan Piao (SAC, 2016)

Measuring semantic distance for linked open data-enabled recommender systems. - Guangyuan Piao; John G. Breslin (SAC, 2016)

Towards Comprehensive User Modeling on the Social Web for Personalized Link Recommendations. - Guangyuan Piao (UMAP, 2016)

Analyzing Aggregated Semantics-enabled User Modeling on Google+ and Twitter for Personalized Link Recommendations. - Guangyuan Piao; John G. Breslin (UMAP, 2016)

Analyzing MOOC Entries of Professionals on LinkedIn for User Modeling and Personalized MOOC Recommendations. - Guangyuan Piao; John G. Breslin (UMAP, 2016)

Inferring User Interests for Passive Users on Twitter by Leveraging Followee Biographies. - Guangyuan Piao; John G. Breslin (ECIR, 2017)

Leveraging Followee List Memberships for Inferring User Interests for Passive Users on Twitter. - Guangyuan Piao; John G. Breslin (HT, 2017)

Factorization Machines Leveraging Lightweight Linked Open Data-Enabled Features for Top-N Recommendations. - Guangyuan Piao; John G. Breslin (WISE (2), 2017)

Transfer Learning for Item Recommendations and Knowledge Graph Completion in Item Related Domains via a Co-Factorization Model. - Guangyuan Piao; John G. Breslin (ESWC, 2018)

A Study of the Similarities of Entity Embeddings Learned from Different Aspects of a Knowledge Base for Item Recommendations. - Guangyuan Piao; John G. Breslin (DL4KGS@ESWC, 2018)

Domain-Aware Sentiment Classification with GRUs and CNNs. - Guangyuan Piao; John G. Breslin (SemWebEval@ESWC, 2018)

Learning to Rank Tweets with Author-Based Long Short-Term Memory Networks. - Guangyuan Piao; John G. Breslin (ICWE, 2018)

Financial Aspect and Sentiment Predictions with Deep Neural Networks: An Ensemble Approach. - Guangyuan Piao; John G. Breslin (WWW (Companion Volume), 2018)

Inferring user interests in microblogging social networks: a survey. - Guangyuan Piao; John G. Breslin (User Model. User Adapt. Interact., 2018)

Bayesian Hierarchical Mixture Clustering using Multilevel Hierarchical Dirichlet Processes. - Weipéng Huáng; Nishma Laitonjam; Guangyuan Piao; Neil Hurley (CoRR, 2019)

Evaluating Hierarchies through A Partially Observable Markov Decision Processes Methodology. - Weipéng Huáng; Guangyuan Piao; Raúl Moreno; Neil J. Hurley (CoRR, 2019)

Partially Observable Markov Decision Process Modelling for Assessing Hierarchies. - Weipéng Huáng; Guangyuan Piao; Raúl Moreno; Neil Hurley (ACML, 2020)

Mining User Interests from Social Media. - Fattane Zarrinkalam; Guangyuan Piao; Stefano Faralli 001; Ebrahim Bagheri (CIKM, 2020)

Env2Vec: accelerating VNF testing with deep learning. - Guangyuan Piao; Patrick K. Nicholson; Diego Lugones (EuroSys, 2020)

Extracting, Mining and Predicting Users' Interests from Social Media. - Fattane Zarrinkalam; Stefano Faralli 001; Guangyuan Piao; Ebrahim Bagheri (Found. Trends Inf. Retr., 2020)

Geometric Heuristics for Transfer Learning in Decision Trees. - Siddhesh Chaubal; Mateusz Rzepecki; Patrick K. Nicholson; Guangyuan Piao; Alessandra Sala (CIKM, 2021)

Recommending Knowledge Concepts on MOOC Platforms with Meta-path-based Representation Learning. - Guangyuan Piao (EDM, 2021)

A Simple Language Independent Approach for Distinguishing Individuals on Social Media. - Guangyuan Piao (HT, 2021)

Deadline-Aware TDMA Scheduling for Multihop Networks Using Reinforcement Learning. - Shanti Chilukuri; Guangyuan Piao; Diego Lugones; Dirk Pesch (Networking, 2021)

Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach. - Weipéng Huáng; Nishma Laitonjam; Guangyuan Piao; Neil J. Hurley (PAKDD (3), 2021)

Scholarly Text Classification with Sentence BERT and Entity Embeddings. - Guangyuan Piao (PAKDD (Workshops), 2021)

Learning to Predict the Departure Dynamics of Wikidata Editors. - Guangyuan Piao; Weipéng Huáng (ISWC, 2021)

Data-Driven Energy Conservation in Cellular Networks: A Systems Approach. - Gopika Premsankar; Guangyuan Piao; Patrick K. Nicholson; Mario Di Francesco; Diego Lugones (IEEE Trans. Netw. Serv. Manag., 2021)

Rényi Divergence Deep Mutual Learning. - Weipeng Fuzzy Huang; Junjie Tao; Changbo Deng; Ming Fan 002; Wenqiang Wan; Qi Xiong; Guangyuan Piao (ECML/PKDD (2), 2023)

Toward Exploring Knowledge Graphs with LLMs. - Guangyuan Piao; Michalis Mountantonakis; Panagiotis Papadakos; Pournima Sonawane; Aidan O'Mahony (SEMANTiCS (Posters, Demos, Workshops & Tutorials), 2024)

Correcting Noisy Multilabel Predictions: Modeling Label Noise through Latent Space Shifts. - Weipéng Huáng; Qin Li; Yang Xiao; Cheng Qiao; Tie Cai; Junwei Liao; Neil J. Hurley; Guangyuan Piao (CoRR, 2025)

Enhancing Text-Based Hierarchical Multilabel Classification for Mobile Applications via Contrastive Learning. - Jiawei Guo; Yang Xiao; Weipéng Huáng; Guangyuan Piao (CoRR, 2025)