Lemei Zhang

According to our database, Lemei Zhang authored at least 22 papers between 2016 and 2024.

Collaborative distances:

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

2024

The Impact of Copyrighted Material on Large Language Models: A Norwegian Perspective.

Javier de la Rosa, Vladislav Mikhailov, Lemei Zhang, Freddy Wetjen, David Samuel, Peng Liu, Rolv-Arild Braaten, Petter Mæhlum, Magnus Breder Birkenes, Andrey Kutuzov, Tita Ranveig Enstad, Svein Arne Brygfjeld, Jon Atle Gulla, Stephan Oepen, Erik Velldal, Wilfred Østgulen, Lilja Øvrelid, Aslak Sira Myhre

CoRR, 2024

Understanding Language Modeling Paradigm Adaptations in Recommender Systems: Lessons Learned and Open Challenges.

Lemei Zhang, Peng Liu, Yashar Deldjoo, Yong Zheng, Jon Atle Gulla

CoRR, 2024

PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models.

Lemei Zhang, Peng Liu, Marcus Tiedemann Oekland Henriksboe, Even W. Lauvrak, Jon Atle Gulla, Heri Ramampiaro

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian.

Peng Liu, Lemei Zhang, Terje Nissen Farup, Even W. Lauvrak, Jon Espen Ingvaldsen, Simen Eide, Jon Atle Gulla, Zhirong Yang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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, Lemei Zhang, Simen Eide

SIGIR Forum, December, 2023

Recommending on graphs: a comprehensive review from a data perspective.

Lemei Zhang, Peng Liu, Jon Atle Gulla

User Model. User Adapt. Interact., September, 2023

Pre-train, Prompt, and Recommendation: A Comprehensive Survey of Language Modeling Paradigm Adaptations in Recommender Systems.

Peng Liu, Lemei Zhang, Jon Atle Gulla

Trans. Assoc. Comput. Linguistics, 2023

Pre-train, Prompt and Recommendation: A Comprehensive Survey of Language Modelling Paradigm Adaptations in Recommender Systems.

Peng Liu, Lemei Zhang, Jon Atle Gulla

CoRR, 2023

The Eleventh International Workshop on News Recommendation and Analytics (INRA'23).

Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Peng Liu, Simen Eide, Lemei Zhang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Pedestrian recognition method based on Jetson nano.

Lemei Zhang, Yu Xin, Letao Zhang

Proceedings of the 7th International Conference on Big Data and Internet of Things, 2023

2021

Exploring Multifaced User Modelling in Textual Data Streams.

Lemei Zhang

PhD thesis, 2021

Multilingual Review-aware Deep Recommender System via Aspect-based Sentiment Analysis.

Peng Liu, Lemei Zhang, Jon Atle Gulla

ACM Trans. Inf. Syst., 2021

Recommending News in Traditional Media Companies.

Jon Atle Gulla, Rolf Dyrnes Svendsen, Lemei Zhang, Agnes Stenbom, Jørgen Frøland

AI Mag., 2021

2020

Dynamic attention-based explainable recommendation with textual and visual fusion.

Peng Liu, Lemei Zhang, Jon Atle Gulla

Inf. Process. Manag., 2020

An Educational News Dataset for Recommender Systems.

Yujie Xing, Itishree Mohallick, Jon Atle Gulla, Özlem Özgöbek, Lemei Zhang

Proceedings of the ECML PKDD 2020 Workshops, 2020

2019

Dynamic attention-integrated neural network for session-based news recommendation.

Lemei Zhang, Peng Liu, Jon Atle Gulla

Mach. Learn., 2019

Real-time social recommendation based on graph embedding and temporal context.

Peng Liu, Lemei Zhang, Jon Atle Gulla

Int. J. Hum. Comput. Stud., 2019

2018

Learning Multi-granularity Dynamic Network Representations for Social Recommendation.

Peng Liu, Lemei Zhang, Jon Atle Gulla

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

A Deep Joint Network for Session-based News Recommendations with Contextual Augmentation.

Lemei Zhang, Peng Liu, Jon Atle Gulla

Proceedings of the 29th on Hypertext and Social Media, 2018

2017

The Adressa dataset for news recommendation.

Jon Atle Gulla, Lemei Zhang, Peng Liu, Özlem Özgöbek, Xiaomeng Su

Proceedings of the International Conference on Web Intelligence, 2017

A Neural Time Series Forecasting Model for User Interests Prediction On Twitter.

Lemei Zhang, Peng Liu, Jon Atle Gulla

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

2016

Dynamic Topic-Based Sentiment Analysis of Large-Scale Online News.

Peng Liu, Jon Atle Gulla, Lemei Zhang

Proceedings of the Web Information Systems Engineering - WISE 2016, 2016