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Lemei Zhang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [c10]Peng Liu, Lemei Zhang, Terje Nissen Farup, Even W. Lauvrak, Jon Espen Ingvaldsen, Simen Eide, Jon Atle Gulla, Zhirong Yang:
NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian. EMNLP 2024: 5543-5560 - [c9]Lemei Zhang, Peng Liu, Marcus Tiedemann Oekland Henriksboe, Even W. Lauvrak, Jon Atle Gulla, Heri Ramampiaro:
PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models. NeurIPS 2024 - [i6]Lemei Zhang, Peng Liu, Yashar Deldjoo, Yong Zheng, Jon Atle Gulla:
Understanding Language Modeling Paradigm Adaptations in Recommender Systems: Lessons Learned and Open Challenges. CoRR abs/2404.03788 (2024) - [i5]Lemei Zhang, Peng Liu, Marcus Tiedemann Oekland Henriksboe, Even W. Lauvrak, Jon Atle Gulla, Heri Ramampiaro:
PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models. CoRR abs/2410.03905 (2024) - [i4]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:
The Impact of Copyrighted Material on Large Language Models: A Norwegian Perspective. CoRR abs/2412.09460 (2024) - 2023
- [j8]Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek
, Peng Liu, Lemei Zhang, Simen Eide:
Report on the 11th International Workshop on News Recommendation and Analytics (INRA 2023) at ACM RecSys 2023. SIGIR Forum 57(2): 15:1-15:4 (2023) - [j7]Peng Liu, Lemei Zhang, Jon Atle Gulla:
Pre-train, Prompt, and Recommendation: A Comprehensive Survey of Language Modeling Paradigm Adaptations in Recommender Systems. Trans. Assoc. Comput. Linguistics 11: 1553-1571 (2023) - [j6]Lemei Zhang
, Peng Liu, Jon Atle Gulla:
Recommending on graphs: a comprehensive review from a data perspective. User Model. User Adapt. Interact. 33(4): 803-888 (2023) - [c8]Lemei Zhang
, Yu Xin
, Letao Zhang
:
Pedestrian recognition method based on Jetson nano. BDIOT 2023: 93-97 - [c7]Benjamin Kille
, Andreas Lommatzsch
, Özlem Özgöbek
, Peng Liu
, Simen Eide
, Lemei Zhang
:
The Eleventh International Workshop on News Recommendation and Analytics (INRA'23). RecSys 2023: 1263-1266 - [i3]Peng Liu, Lemei Zhang, Jon Atle Gulla:
Pre-train, Prompt and Recommendation: A Comprehensive Survey of Language Modelling Paradigm Adaptations in Recommender Systems. CoRR abs/2302.03735 (2023) - [i2]Peng Liu, Lemei Zhang, Terje Nissen Farup, Even W. Lauvrak, Jon Espen Ingvaldsen, Simen Eide, Jon Atle Gulla, Zhirong Yang:
NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian. CoRR abs/2312.01314 (2023) - 2022
- [i1]Lemei Zhang, Peng Liu, Jon Atle Gulla:
Recommending on Graphs: A Comprehensive Review from Data Perspective. CoRR abs/2212.12230 (2022) - 2021
- [b1]Lemei Zhang:
Exploring Multifaced User Modelling in Textual Data Streams. Norwegian University of Science and Technology, Trondheim, Norway, 2021 - [j5]Jon Atle Gulla, Rolf Dyrnes Svendsen, Lemei Zhang, Agnes Stenbom, Jørgen Frøland:
Recommending News in Traditional Media Companies. AI Mag. 42(3): 55-69 (2021) - [j4]Peng Liu, Lemei Zhang, Jon Atle Gulla:
Multilingual Review-aware Deep Recommender System via Aspect-based Sentiment Analysis. ACM Trans. Inf. Syst. 39(2): 15:1-15:33 (2021) - 2020
- [j3]Peng Liu, Lemei Zhang, Jon Atle Gulla:
Dynamic attention-based explainable recommendation with textual and visual fusion. Inf. Process. Manag. 57(6): 102099 (2020) - [c6]Yujie Xing, Itishree Mohallick, Jon Atle Gulla, Özlem Özgöbek
, Lemei Zhang:
An Educational News Dataset for Recommender Systems. PKDD/ECML Workshops 2020: 562-570
2010 – 2019
- 2019
- [j2]Peng Liu
, Lemei Zhang, Jon Atle Gulla:
Real-time social recommendation based on graph embedding and temporal context. Int. J. Hum. Comput. Stud. 121: 58-72 (2019) - [j1]Lemei Zhang
, Peng Liu, Jon Atle Gulla:
Dynamic attention-integrated neural network for session-based news recommendation. Mach. Learn. 108(10): 1851-1875 (2019) - 2018
- [c5]Lemei Zhang, Peng Liu, Jon Atle Gulla:
A Deep Joint Network for Session-based News Recommendations with Contextual Augmentation. HT 2018: 201-209 - [c4]Peng Liu, Lemei Zhang, Jon Atle Gulla:
Learning Multi-granularity Dynamic Network Representations for Social Recommendation. ECML/PKDD (2) 2018: 691-708 - 2017
- [c3]Lemei Zhang, Peng Liu, Jon Atle Gulla:
A Neural Time Series Forecasting Model for User Interests Prediction On Twitter. UMAP 2017: 397-398 - [c2]Jon Atle Gulla, Lemei Zhang, Peng Liu, Özlem Özgöbek
, Xiaomeng Su:
The Adressa dataset for news recommendation. WI 2017: 1042-1048 - 2016
- [c1]Peng Liu, Jon Atle Gulla, Lemei Zhang:
Dynamic Topic-Based Sentiment Analysis of Large-Scale Online News. WISE (2) 2016: 3-18
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