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    Items where Author is "Piao, Guangyuan"


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    Number of items: 12.

    Article

    Chilukuri, Shanti and Piao, Guangyuan and Lugones, Diego and Pesch, Dirk (2021) Deadline-Aware TDMA Scheduling for Multihop Networks Using Reinforcement Learning. 2021 IFIP Networking Conference, IFIP Networking 2021. pp. 1-9.

    Chaubal, Siddhesh and Rzepecki, Mateusz and Nicholson, Patrick K. and Piao, Guangyuan and Sala, Alessandra (2021) Geometric Heuristics for Transfer Learning in Decision Trees. International Conference on Information and Knowledge Management, Proceedings. pp. 151-160.

    Piao, Guangyuan (2021) A Simple Language Independent Approach for Distinguishing Individuals on Social Media. HT 2021 - Proceedings of the 32nd ACM Conference on Hypertext and Social Media. pp. 251-256.

    Piao, Guangyuan and Nicholson, Patrick K. and Lugones, Diego (2020) Env2Vec: accelerating VNF testing with deep learning. EuroSys '20: Proceedings of the Fifteenth European Conference on Computer Systems, 41. pp. 1-16.

    Zarrinkalam, Fattane and Piao, Guangyuan and Faralli, Stefano and Bagheri, Ebrahim (2020) Mining User Interests from Social Media. CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge Management. pp. 3519-3520.

    Piao, Guangyuan and Breslin, John G. (2018) Inferring user interests in microblogging social networks: a survey. User Modeling and User-Adapted Interaction, 28 (3). pp. 277-329. ISSN 0924-1868

    Piao, Guangyuan and Breslin, John G (2018) Transfer Learning for Item Recommendations and Knowledge Graph Completion in Item Related Domains via a Co-Factorization Model. The Semantic Web. ESWC 2018. Lecture Notes in Computer Science, 10843. pp. 496-511. ISSN 0302-9743

    Piao, Guangyuan and Breslin, John G (2017) Leveraging Followee List Memberships for Inferring User Interests for Passive Users on Twitter. The 28th ACM Conference on Hypertext and Social Media Proceedings. pp. 1-11.

    Piao, Guangyuan and Breslin, John G. (2016) Analyzing MOOC Entries of Professionals on LinkedIn for User Modeling and Personalized MOOC Recommendations. UMAP '16: Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization. pp. 291-292.

    Piao, Guangyuan and Breslin, John G (2016) Exploring dynamics and semantics of user interests for user modeling on Twitter for link recommendations. 12th International Conference on Semantic Systems Proceedings.

    Piao, Guangyuan and Breslin, John G. (2016) Measuring semantic distance for linked open data-enabled recommender systems. SAC '16: Proceedings of the 31st Annual ACM Symposium on Applied Computing. pp. 315-320.

    Piao, Guangyuan and Breslin, John G (2016) User Modeling on Twitter with WordNet Synsets and DBpedia Concepts for Personalized Recommendations. International Conference on Information and Knowledge Management, Proceedings. pp. 2057-2060.

    This list was generated on Fri Apr 19 23:45:55 2024 UTC.