Guangyuan Piao

43 papers A 8B 5C 1Misc 4Journal 11Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Correcting Noisy Multilabel Predictions: Modeling Label Noise through Latent Space Shifts. CoRR Weipéng Huáng, Qin Li, Yang Xiao, Cheng Qiao, Tie Cai, Junwei Liao, Neil J. Hurley, Guangyuan Piao
2025	J	`jnl`	Demystifying Chains, Trees, and Graphs of Thoughts. IEEE Trans. Pattern Anal. Mach. Intell. Maciej Besta, Florim Memedi, Zhenyu Zhang, Robert Gerstenberger, Guangyuan Piao, Nils Blach, Piotr Nyczyk, Marcin Copik, Grzegorz Kwasniewski, Jürgen Müller, Lukas Gianinazzi, Ales Kubicek, Hubert Niewiadomski, Aidan O'Mahony, Onur Mutlu, Torsten Hoefler
2025	—	`conf`	Enhancing Text-Based Hierarchical Multilabel Classification for Mobile Applications via Contrastive Learning. KDD (2) Jiawei Guo, Yang Xiao, Weipéng Huáng, Guangyuan Piao
2025	J	`jnl`	Enhancing Text-Based Hierarchical Multilabel Classification for Mobile Applications via Contrastive Learning. CoRR Jiawei Guo, Yang Xiao, Weipéng Huáng, Guangyuan Piao
2025	—	`conf`	Exploring the Underlying Questions of SPARQL Queries with LLMs. ESWC (Satellite Events) Guangyuan Piao, Pournima Sonawane, Shraddha Gupta, Aidan O'Mahony
2024	—	`conf`	Toward Exploring Knowledge Graphs with LLMs. SEMANTiCS (Posters, Demos, Workshops & Tutorials) Guangyuan Piao, Michalis Mountantonakis, Panagiotis Papadakos, Pournima Sonawane, Aidan O'Mahony
2023	—	`conf`	Rényi Divergence Deep Mutual Learning. ECML/PKDD (2) Weipeng Fuzzy Huang, Junjie Tao, Changbo Deng, Ming Fan, Wenqiang Wan, Qi Xiong, Guangyuan Piao
2022	J	`jnl`	Rényi Divergence Deep Mutual Learning. CoRR Weipeng Fuzzy Huang, Junjie Tao, Changbo Deng, Ming Fan, Wenqiang Wan, Qi Xiong, Guangyuan Piao
2021	—	`conf`	A Simple Language Independent Approach for Distinguishing Individuals on Social Media. HT Guangyuan Piao
2021	J	`jnl`	Data-Driven Energy Conservation in Cellular Networks: A Systems Approach. IEEE Trans. Netw. Serv. Manag. Gopika Premsankar, Guangyuan Piao, Patrick K. Nicholson, Mario Di Francesco, Diego Lugones
2021	B	`conf`	Deadline-Aware TDMA Scheduling for Multihop Networks Using Reinforcement Learning. Networking Shanti Chilukuri, Guangyuan Piao, Diego Lugones, Dirk Pesch
2021	A	`conf`	Geometric Heuristics for Transfer Learning in Decision Trees. CIKM Siddhesh Chaubal, Mateusz Rzepecki, Patrick K. Nicholson, Guangyuan Piao, Alessandra Sala
2021	—	`conf`	Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach. PAKDD (3) Weipéng Huáng, Nishma Laitonjam, Guangyuan Piao, Neil J. Hurley
2021	Misc	`conf`	Learning to Predict the Departure Dynamics of Wikidata Editors. ISWC Guangyuan Piao, Weipéng Huáng
2021	B	`conf`	Recommending Knowledge Concepts on MOOC Platforms with Meta-path-based Representation Learning. EDM Guangyuan Piao
2021	—	`conf`	Scholarly Text Classification with Sentence BERT and Entity Embeddings. PAKDD (Workshops) Guangyuan Piao
2020	A	`conf`	Env2Vec: accelerating VNF testing with deep learning. EuroSys Guangyuan Piao, Patrick K. Nicholson, Diego Lugones
2020	J	`jnl`	Extracting, Mining and Predicting Users' Interests from Social Media. Found. Trends Inf. Retr. Fattane Zarrinkalam, Stefano Faralli, Guangyuan Piao, Ebrahim Bagheri
2020	A	`conf`	Mining User Interests from Social Media. CIKM Fattane Zarrinkalam, Guangyuan Piao, Stefano Faralli, Ebrahim Bagheri
2020	C	`conf`	Partially Observable Markov Decision Process Modelling for Assessing Hierarchies. ACML Weipéng Huáng, Guangyuan Piao, Raúl Moreno, Neil Hurley
2019	J	`jnl`	Bayesian Hierarchical Mixture Clustering using Multilevel Hierarchical Dirichlet Processes. CoRR Weipéng Huáng, Nishma Laitonjam, Guangyuan Piao, Neil Hurley
2019	J	`jnl`	Evaluating Hierarchies through A Partially Observable Markov Decision Processes Methodology. CoRR Weipéng Huáng, Guangyuan Piao, Raúl Moreno, Neil J. Hurley
2018	—	`conf`	A Study of the Similarities of Entity Embeddings Learned from Different Aspects of a Knowledge Base for Item Recommendations. DL4KGS@ESWC Guangyuan Piao, John G. Breslin
2018	—	`conf`	A Study of the Similarities of Entity Embeddings Learned from Different Aspects of a Knowledge Base for Item Recommendations. ESWC (Satellite Events) Guangyuan Piao, John G. Breslin
2018	—	`conf`	Domain-Aware Sentiment Classification with GRUs and CNNs. SemWebEval@ESWC Guangyuan Piao, John G. Breslin
2018	—	`conf`	Financial Aspect and Sentiment Predictions with Deep Neural Networks: An Ensemble Approach. WWW (Companion Volume) Guangyuan Piao, John G. Breslin
2018	J	`jnl`	Inferring user interests in microblogging social networks: a survey. User Model. User Adapt. Interact. Guangyuan Piao, John G. Breslin
2018	B	`conf`	Learning to Rank Tweets with Author-Based Long Short-Term Memory Networks. ICWE Guangyuan Piao, John G. Breslin
2018	B	`conf`	Transfer Learning for Item Recommendations and Knowledge Graph Completion in Item Related Domains via a Co-Factorization Model. ESWC Guangyuan Piao, John G. Breslin
2017	—	`conf`	Factorization Machines Leveraging Lightweight Linked Open Data-Enabled Features for Top-N Recommendations. WISE (2) Guangyuan Piao, John G. Breslin
2017	J	`jnl`	Factorization Machines Leveraging Lightweight Linked Open Data-enabled Features for Top-N Recommendations. CoRR Guangyuan Piao, John G. Breslin
2017	A	`conf`	Inferring User Interests for Passive Users on Twitter by Leveraging Followee Biographies. ECIR Guangyuan Piao, John G. Breslin
2017	J	`jnl`	Inferring User Interests in Microblogging Social Networks: A Survey. CoRR Guangyuan Piao, John G. Breslin
2017	—	`conf`	Leveraging Followee List Memberships for Inferring User Interests for Passive Users on Twitter. HT Guangyuan Piao, John G. Breslin
2016	A	`conf`	Analyzing Aggregated Semantics-enabled User Modeling on Google+ and Twitter for Personalized Link Recommendations. UMAP Guangyuan Piao, John G. Breslin
2016	A	`conf`	Analyzing MOOC Entries of Professionals on LinkedIn for User Modeling and Personalized MOOC Recommendations. UMAP Guangyuan Piao, John G. Breslin
2016	Misc	`conf`	Exploiting the semantic similarity of interests in a semantic interest graph for social recommendations: student research abstract. SAC Guangyuan Piao
2016	Misc	`conf`	Exploring Dynamics and Semantics of User Interests for User Modeling on Twitter for Link Recommendations. SEMANTiCS Guangyuan Piao, John G. Breslin
2016	B	`conf`	Interest Representation, Enrichment, Dynamics, and Propagation: A Study of the Synergetic Effect of Different User Modeling Dimensions for Personalized Recommendations on Twitter. EKAW Guangyuan Piao, John G. Breslin
2016	Misc	`conf`	Measuring semantic distance for linked open data-enabled recommender systems. SAC Guangyuan Piao, John G. Breslin
2016	A	`conf`	Towards Comprehensive User Modeling on the Social Web for Personalized Link Recommendations. UMAP Guangyuan Piao
2016	A	`conf`	User Modeling on Twitter with WordNet Synsets and DBpedia Concepts for Personalized Recommendations. CIKM Guangyuan Piao, John G. Breslin
2015	—	`conf`	Computing the Semantic Similarity of Resources in DBpedia for Recommendation Purposes. JIST Guangyuan Piao, Safina Showkat Ara, John G. Breslin