Dynamic Topic-Based Sentiment Analysis of Large-Scale Online News. - Peng Liu 025; Jon Atle Gulla; Lemei Zhang (WISE (2), 2016)

A Neural Time Series Forecasting Model for User Interests Prediction On Twitter. - Lemei Zhang; Peng Liu 025; Jon Atle Gulla (UMAP, 2017)

The Adressa dataset for news recommendation. - Jon Atle Gulla; Lemei Zhang; Peng Liu 025; Özlem Özgöbek; Xiaomeng Su (WI, 2017)

A Deep Joint Network for Session-based News Recommendations with Contextual Augmentation. - Lemei Zhang; Peng Liu 025; Jon Atle Gulla (HT, 2018)

Learning Multi-granularity Dynamic Network Representations for Social Recommendation. - Peng Liu 025; Lemei Zhang; Jon Atle Gulla (ECML/PKDD (2), 2018)

Real-time social recommendation based on graph embedding and temporal context. - Peng Liu 025; Lemei Zhang; Jon Atle Gulla (Int. J. Hum. Comput. Stud., 2019)

Dynamic attention-integrated neural network for session-based news recommendation. - Lemei Zhang; Peng Liu 025; Jon Atle Gulla (Mach. Learn., 2019)

An Educational News Dataset for Recommender Systems. - Yujie Xing; Itishree Mohallick; Jon Atle Gulla; Özlem Özgöbek; Lemei Zhang (PKDD/ECML Workshops, 2020)

Dynamic attention-based explainable recommendation with textual and visual fusion. - Peng Liu 025; Lemei Zhang; Jon Atle Gulla (Inf. Process. Manag., 2020)

Recommending News in Traditional Media Companies. - Jon Atle Gulla; Rolf Dyrnes Svendsen; Lemei Zhang; Agnes Stenbom; Jørgen Frøland (AI Mag., 2021)

Multilingual Review-aware Deep Recommender System via Aspect-based Sentiment Analysis. - Peng Liu 025; Lemei Zhang; Jon Atle Gulla (ACM Trans. Inf. Syst., 2021)

Exploring Multifaced User Modelling in Textual Data Streams. - Lemei Zhang (2021)

Pedestrian recognition method based on Jetson nano. - Lemei Zhang; Yu Xin; Letao Zhang (BDIOT, 2023)

The Eleventh International Workshop on News Recommendation and Analytics (INRA'23). - Benjamin Kille; Andreas Lommatzsch; Özlem Özgöbek; Peng Liu 025; Simen Eide; Lemei Zhang (RecSys, 2023)

Pre-train, Prompt and Recommendation: A Comprehensive Survey of Language Modelling Paradigm Adaptations in Recommender Systems. - Peng Liu 025; Lemei Zhang; Jon Atle Gulla (CoRR, 2023)

Pre-train, Prompt, and Recommendation: A Comprehensive Survey of Language Modeling Paradigm Adaptations in Recommender Systems. - Peng Liu 025; Lemei Zhang; Jon Atle Gulla (Trans. Assoc. Comput. Linguistics, 2023)

Recommending on graphs: a comprehensive review from a data perspective. - Lemei Zhang; Peng Liu 025; Jon Atle Gulla (User Model. User Adapt. Interact., 2023)

Report on the 11th International Workshop on News Recommendation and Analytics (INRA 2023) at ACM RecSys 2023. - Benjamin Kille; Andreas Lommatzsch; Özlem Özgöbek; Peng Liu 025; Lemei Zhang; Simen Eide (SIGIR Forum, 2023)

NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian. - Peng Liu 025; Lemei Zhang; Terje Nissen Farup; Even W. Lauvrak; Jon Espen Ingvaldsen; Simen Eide; Jon Atle Gulla; Zhirong Yang (EMNLP, 2024)

PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models. - Lemei Zhang; Peng Liu 025; Marcus Tiedemann Oekland Henriksboe; Even W. Lauvrak; Jon Atle Gulla; Heri Ramampiaro (NeurIPS, 2024)

Understanding Language Modeling Paradigm Adaptations in Recommender Systems: Lessons Learned and Open Challenges. - Lemei Zhang; Peng Liu 025; Yashar Deldjoo; Yong Zheng; Jon Atle Gulla (CoRR, 2024)

The Impact of Copyrighted Material on Large Language Models: A Norwegian Perspective. - Javier de la Rosa 001; Vladislav Mikhailov; Lemei Zhang; Freddy Wetjen; David Samuel; Peng Liu 025; Rolv-Arild Braaten; Petter Mæhlum; Magnus Breder Birkenes; Andrey Kutuzov; Tita Ranveig Enstad; Svein Arne Brygfjeld; et al. (CoRR, 2024)

News Timeline Summarization: Recent Methods. - Vandana Yadav; Jon Atle Gulla; Özlem Özgöbek; Lemei Zhang (NLDB (1), 2025)