2025

• Rosa, Javier De La; Mikhailov, Vladislav; Zhang, Lemei; Wetjen, Freddy; Samuel, David; Liu, Peng. (2025) The Impact of Copyrighted Material on Large Language Models: A Norwegian Perspective.
  Academic chapter/article/Conference paper

2024

• Zhang, Lemei; Liu, Peng; T., Henriksboe, Marcus; Lauvrak, Even Wienenga; Gulla, Jon Atle; Ramampiaro, Heri. (2024) PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models.
  Academic chapter/article/Conference paper
• Liu, Peng; Zhang, Lemei; Farup, Terje Nissen; Lauvrak, Even Wienenga; Ingvaldsen, Jon Espen; Eide, Simen. (2024) NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian.
  Academic chapter/article/Conference paper

2023

• Zhang, Lemei; Liu, Peng; Gulla, Jon Atle. (2023) Recommending on graphs: a comprehensive review from a data perspective. User modeling and user-adapted interaction
  Academic literature review
• Kille, Benjamin Uwe; Lommatzsch, Andreas; Özgöbek, Özlem; Liu, Peng; Eide, Simen; Zhang, Lemei. (2023) The Eleventh International Workshop on News Recommendation and Analytics (INRA’23).
  Academic chapter/article/Conference paper
• Liu, Peng; Zhang, Lemei; Gulla, Jon Atle. (2023) Pre-train, Prompt, and Recommendation: A Comprehensive Survey of Language Modeling Paradigm Adaptations in Recommender Systems. Transactions of the Association for Computational Linguistics
  Academic article

2021

• Gulla, Jon Atle; Svendsen, Rolf Dyrnes; Zhang, Lemei; Stenbom, Agnes; Frøland, Jørgen Hovelsen. (2021) Recommending news in traditional media companies. The AI Magazine
  Article in business/trade/industry journal
• Zhang, Lemei; Gulla, Jon Atle; Nørvåg, Kjetil; Su, Xiaomeng. (2021) Exploring Multifaced User Modelling in Textual Data Streams. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
  Doctoral dissertation
• Liu, Peng; Zhang, Lemei; Gulla, Jon Atle. (2021) Multilingual Review-aware Deep Recommender System via Aspect-based Sentiment Analysis. ACM Transactions on Information Systems
  Academic article
• Xing, Yujie; Mohallick, Itishree; Gulla, Jon Atle; Özgöbek, Özlem; Zhang, Lemei. (2021) An Educational News Dataset for Recommender Systems. Communications in Computer and Information Science (CCIS)
  Academic article

2019

• Liu, Peng; Zhang, Lemei; Gulla, Jon Atle. (2019) Dynamic attention-based explainable recommendation with textual and visual fusion. Information Processing & Management
  Academic article
• Zhang, Lemei; Liu, Peng; Gulla, Jon Atle. (2019) Dynamic attention-integrated neural network for session-based news recommendation. Machine Learning
  Academic article
• Liu, Peng; Zhang, Lemei; Gulla, Jon Atle. (2019) Learning multi-granularity dynamic network representations for social recommendation. Lecture Notes in Computer Science (LNCS)
  Academic article

2018

• Liu, Peng; Zhang, Lemei; Gulla, Jon Atle. (2018) Real-time social recommendation based on graph embedding and temporal context. International Journal of Human-Computer Studies
  Academic article
• Özgöbek, Özlem; Selvig, Ole Christian; Gulla, Jon Atle; Zhang, Lemei; Marco, Cristina. (2018) On the difficulties of using machine learning on industrial texts. CEUR Workshop Proceedings
  Academic article

2017

• Gulla, Jon Atle; Zhang, Lemei; Liu, Peng; Özgöbek, Özlem; Su, Xiaomeng. (2017) The Adressa dataset for news recommendation.
  Academic chapter/article/Conference paper
• Liu, Peng; Gulla, Jon Atle; Zhang, Lemei. (2017) A joint model for analyzing topic and sentiment dynamics from large-scale online news. World wide web (Bussum)
  Academic article

2016

• Liu, Peng; Gulla, Jon Atle; Zhang, Lemei. (2016) Dynamic topic-based sentiment analysis of large-scale online news. Lecture Notes in Computer Science (LNCS)
  Academic article