You can find my Google Scholar profile here. My current research interests as follows:

  • User modeling on the Web (e.g., social media or MOOC platforms) to understand user behavior and characteristics (e.g., mining user interests)
  • Semantics-Aware Recommender Systems with Knowledge Graphs
  • Applied Deep Learning for Text Mining, Recommender Systems
  • Mining open Knowedge Grpah/Base such as Wikipedia, DBpedia, and Wikidata
  • Data science challenges (e.g., CIKM Analyticup and Semantic Web Challenges)

PC Member/Reiviewer | Publications | Challenges | Tutorials/Talks

Reviewer / Other Services

  • ECML/PKDD: 2023
  • Web Search and Data Mining (WSDM): 2023
  • Web Science: 2023-2022
  • The Web Conference (WWW): 2023-2022
  • AAAI Conference on Artificial Intelligence (AAAI): 2022-2021 (top 25% of PC Members)
  • Conference on Information and Knowledge Management (CIKM): 2022 (best PC)-2020
  • European Semantic Web Conference (ESWC): 2023-2017
  • International Semantic Web Conference (ISWC): 2018-2017
  • ACM Conference on Hypertext and Social Media (HT, Session Chair): 2021
  • Educational Recommender Systems (EdRecSys) at Web Intelligence (WI): 2016
  • Insight Student Conference (PC, Session Chair): 2017
  • European Conference on Networks and Communications (EuCNC): 2019
  • Middleware: 2019



  • 4th place, in the COVID-19 Retweet Prediction Challenge at CIKM AnalytiCup, The 29th ACM International Conference on Information and Knowledge Management (CIKM), Galway, Ireland, 10/2020.

  • 1st place, in the Semantic Sentiment Analysis Challenge, The 15th Extended Semantic Web Conference (ESWC), Crete, Greece, 06/2018.

  • Finalist, in 31st ACM SAC Student Research Competition (sponsered by Microsoft), The 31st ACM/SIGAPP Symposium on Applied Computing (SAC 2016), Pisa, Italy, 04/04/2016

  • 4th place, in the Data Challenge on "Entity Type Prediction over Linked Data" (among 13 teams), The 5th Joint International Semantic Technology Conference (JIST 2015), Yichang, China, 12/11/2015

Tutorials / Talks

  • Learning to Predict the Departure Dynamics of Wikidata Editors, Hamilton Institute Research Day, 2023
  • Learning to Predict the Departure Dynamics of Wikidata Editors, The Wikimedia Research Showcase, 2023
  • Mining User Interests from Social Media, IJCAI'20
  • Mining User Interests from Social Media, CIKM'20
  • Bell Labs Systems Research, Cork Institute of Technology, 2019
  • Semantics-aware User Modeling and Recommender Systems, SAP-Insight PhD Project Meeting, 2017
  • Retweet Prediction with Attention-based Deep Neural Networks, Insight Reading Group, 2017
  • User Modeling on Microblogging Social Networks for Personalized Content Recommendations, SAP-Insight PhD Project Meeting, 2017
  • Exploiting the Semantic Similarity in User Profiles for Social Recommendation, Presentation/Demo for Insight Industry Advisory Board, 2016
  • Inferring Semantic Interest Profiles from Twitter Followees: Does Twitter Know Better Thank Your Friends, Insight Reading Group, 2016
  • Measuring Semantic Distance for Linked Open Data-enabled Recommender Systems, Insight Friday Seminar, 2016
  • Analyzing User Modeling on Twitter for Personalized News Recomendations, Insight Reading Group, 2015
  • Who else is learning what in MOOCs, Insight Reading Group, 2015