| 2025 | KDD | Enhancing Text-Based Hierarchical Multilabel Classification for Mobile Applications via Contrastive Learning. | Jiawei Guo, Yang Xiao, Weipeng Huang, Guangyuan Piao |
| 2021 | CIKM | Geometric Heuristics for Transfer Learning in Decision Trees. | Siddhesh Chaubal, Mateusz Rzepecki, Patrick K. Nicholson, Guangyuan Piao, Alessandra Sala |
| 2021 | EDM | Recommending Knowledge Concepts on MOOC Platforms with Meta-path-based Representation Learning. | Guangyuan Piao |
| 2021 | Networking | Deadline-Aware TDMA Scheduling for Multihop Networks Using Reinforcement Learning. | Shanti Chilukuri, Guangyuan Piao, Diego Lugones, Dirk Pesch |
| 2021 | PAKDD | Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach. | Weipeng Huang, Nishma Laitonjam, Guangyuan Piao, Neil J. Hurley |
| 2021 | PAKDD | Scholarly Text Classification with Sentence BERT and Entity Embeddings. | Guangyuan Piao |
| 2020 | ACML | Partially Observable Markov Decision Process Modelling for Assessing Hierarchies. | Weipeng Huang, Guangyuan Piao, Ral Moreno, Neil Hurley |
| 2020 | CIKM | Mining User Interests from Social Media. | Fattane Zarrinkalam, Guangyuan Piao, Stefano Faralli, Ebrahim Bagheri |
| 2020 | EuroSys | Env2Vec: accelerating VNF testing with deep learning. | Guangyuan Piao, Patrick K. Nicholson, Diego Lugones |
| 2018 | ICWE | Learning to Rank Tweets with Author-Based Long Short-Term Memory Networks. | Guangyuan Piao, John G. Breslin |
| 2018 | WWW | Financial Aspect and Sentiment Predictions with Deep Neural Networks: An Ensemble Approach. | Guangyuan Piao, John G. Breslin |
| 2017 | ECIR | Inferring User Interests for Passive Users on Twitter by Leveraging Followee Biographies. | Guangyuan Piao, John G. Breslin |
| 2017 | WISE | Factorization Machines Leveraging Lightweight Linked Open Data-Enabled Features for Top-N Recommendations. | Guangyuan Piao, John G. Breslin |
| 2016 | CIKM | User Modeling on Twitter with WordNet Synsets and DBpedia Concepts for Personalized Recommendations. | Guangyuan Piao, John G. Breslin |
| 2016 | EKAW | 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 |
| 2016 | SAC | Exploiting the semantic similarity of interests in a semantic interest graph for social recommendations: student research abstract. | Guangyuan Piao |
| 2016 | SAC | Measuring semantic distance for linked open data-enabled recommender systems. | Guangyuan Piao, John G. Breslin |