Guangyuan Piao

According to our database, Guangyuan Piao authored at least 34 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Rényi Divergence Deep Mutual Learning.

Weipeng Fuzzy Huang, Junjie Tao, Changbo Deng, Ming Fan, Wenqiang Wan, Qi Xiong, Guangyuan Piao

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022

Rényi Divergence Deep Mutual Learning.

Weipeng Huang, Junjie Tao, Changbo Deng, Ming Fan, Wenqiang Wan, Qi Xiong, Guangyuan Piao

CoRR, 2022

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

Learning to Predict the Departure Dynamics of Wikidata Editors.

Guangyuan Piao, Weipéng Huáng

Proceedings of the Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, 2021

Scholarly Text Classification with Sentence BERT and Entity Embeddings.

Guangyuan Piao

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2021

Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach.

Weipéng Huáng, Nishma Laitonjam, Guangyuan Piao, Neil J. Hurley

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Deadline-Aware TDMA Scheduling for Multihop Networks Using Reinforcement Learning.

Shanti Chilukuri, Guangyuan Piao, Diego Lugones, Dirk Pesch

Proceedings of the IFIP Networking Conference, 2021

A Simple Language Independent Approach for Distinguishing Individuals on Social Media.

Guangyuan Piao

Proceedings of the HT '21: 32nd ACM Conference on Hypertext and Social Media, Virtual Event, Ireland, 30 August 2021, 2021

Recommending Knowledge Concepts on MOOC Platforms with Meta-path-based Representation Learning.

Guangyuan Piao

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Geometric Heuristics for Transfer Learning in Decision Trees.

Siddhesh Chaubal, Mateusz Rzepecki, Patrick K. Nicholson, Guangyuan Piao, Alessandra Sala

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Extracting, Mining and Predicting Users' Interests from Social Media.

Fattane Zarrinkalam, Stefano Faralli, Guangyuan Piao, Ebrahim Bagheri

Found. Trends Inf. Retr., 2020

Env2Vec: accelerating VNF testing with deep learning.

Guangyuan Piao, Patrick K. Nicholson, Diego Lugones

Proceedings of the EuroSys '20: Fifteenth EuroSys Conference 2020, 2020

Mining User Interests from Social Media.

Fattane Zarrinkalam, Guangyuan Piao, Stefano Faralli, Ebrahim Bagheri

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Partially Observable Markov Decision Process Modelling for Assessing Hierarchies.

Weipéng Huáng, Guangyuan Piao, Raúl Moreno, Neil Hurley

Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019

Evaluating Hierarchies through A Partially Observable Markov Decision Processes Methodology.

Weipéng Huáng, Guangyuan Piao, Raúl Moreno, Neil J. Hurley

CoRR, 2019

Bayesian Hierarchical Mixture Clustering using Multilevel Hierarchical Dirichlet Processes.

Weipéng Huáng, Nishma Laitonjam, Guangyuan Piao, Neil Hurley

CoRR, 2019

2018

Inferring user interests in microblogging social networks: a survey.

Guangyuan Piao, John G. Breslin

User Model. User Adapt. Interact., 2018

Financial Aspect and Sentiment Predictions with Deep Neural Networks: An Ensemble Approach.

Guangyuan Piao, John G. Breslin

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Learning to Rank Tweets with Author-Based Long Short-Term Memory Networks.

Guangyuan Piao, John G. Breslin

Proceedings of the Web Engineering - 18th International Conference, 2018

Domain-Aware Sentiment Classification with GRUs and CNNs.

Guangyuan Piao, John G. Breslin

Proceedings of the Semantic Web Challenges, 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

Proceedings of the Semantic Web: ESWC 2018 Satellite Events, 2018

Transfer Learning for Item Recommendations and Knowledge Graph Completion in Item Related Domains via a Co-Factorization Model.

Guangyuan Piao, John G. Breslin

Proceedings of the Semantic Web - 15th International Conference, 2018

2017

Factorization Machines Leveraging Lightweight Linked Open Data-Enabled Features for Top-N Recommendations.

Guangyuan Piao, John G. Breslin

Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

Leveraging Followee List Memberships for Inferring User Interests for Passive Users on Twitter.

Guangyuan Piao, John G. Breslin

Proceedings of the 28th ACM Conference on Hypertext and Social Media, 2017

Inferring User Interests for Passive Users on Twitter by Leveraging Followee Biographies.

Guangyuan Piao, John G. Breslin

Proceedings of the Advances in Information Retrieval, 2017

2016

Analyzing MOOC Entries of Professionals on LinkedIn for User Modeling and Personalized MOOC Recommendations.

Guangyuan Piao, John G. Breslin

Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Analyzing Aggregated Semantics-enabled User Modeling on Google+ and Twitter for Personalized Link Recommendations.

Guangyuan Piao, John G. Breslin

Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Towards Comprehensive User Modeling on the Social Web for Personalized Link Recommendations.

Guangyuan Piao

Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Measuring semantic distance for linked open data-enabled recommender systems.

Guangyuan Piao, John G. Breslin

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Exploiting the semantic similarity of interests in a semantic interest graph for social recommendations: student research abstract.

Guangyuan Piao

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Exploring Dynamics and Semantics of User Interests for User Modeling on Twitter for Link Recommendations.

Guangyuan Piao, John G. Breslin

Proceedings of the 12th International Conference on Semantic Systems, 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

Proceedings of the Knowledge Engineering and Knowledge Management, 2016

User Modeling on Twitter with WordNet Synsets and DBpedia Concepts for Personalized Recommendations.

Guangyuan Piao, John G. Breslin

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Computing the Semantic Similarity of Resources in DBpedia for Recommendation Purposes.

Guangyuan Piao, Safina Showkat Ara, John G. Breslin

Proceedings of the Semantic Technology - 5th Joint International Conference, 2015