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ORCIDPeng Liu 0025
Person information
- affiliation: Norwegian University of Science and Technology, Department of Computer Science, Trondheim, Norway
Other persons with the same name
- Peng Liu — disambiguation page
- Peng Liu 0001 — Microsoft Research Asia, Beijing, China
- Peng Liu 0002 — FZI Forschungszentrum Informatik an der Universität Karlsruhe, Germany
- Peng Liu 0003
![[0000-0002-2529-8726]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2529-8726")
— Southern University of Science and Technology, Shenzhen, China (and 2 more) - Peng Liu 0004 — Shenyang University of Technology, School of Management, China
- Peng Liu 0005 — Pennsylvania State University, College of Information Sciences and Technology, University Park, PA, USA (and 2 more)
- Peng Liu 0006 — PLA University of Science and Technology, Institute of Command Automation, Nanjing, China
- Peng Liu 0007 — Iowa State University, Department of Statistics, Ames, IA, USA (and 1 more)
- Peng Liu 0008 — Harbin Institute of Technology, Pattern Recognition and Intelligent System Research Center, China
- Peng Liu 0009 — Beijing Institute of Technology, School of Mechanical Engineering, China
- Peng Liu 0010 — Purdue University, USA (and 3 more)
- Peng Liu 0011 — Trinity College Dublin, Ireland
- Peng Liu 0012 — California State University, Fullerton, CA, USA (and 1 more)
- Peng Liu 0013 — China University of Mining and Technology, CUMT-IoT Perception Mine Research Center, Xuzhou, China
- Peng Liu 0014 — Lanzhou University, School of Management, Lanzhou, China
- Peng Liu 0015 — Queen's University, Department of Electr. & Comput. Engineering, Kingston, ON, Canada
- Peng Liu 0016 — Zhejiang University, Department of Information Science and Electronic Engineering, Hangzhou, China
- Peng Liu 0017 — Xidian University, Key Laboratory of Ministry of Education for Electronic Equipment Structure Design, Xian, China
- Peng Liu 0018 — NXP Semiconductors Austria GmbH, Gratkorn, Austria (and 2 more)
- Peng Liu 0019 — Fudan University, Key Laboratory of Wave Scattering and Remote Sensing Information, Shanghai, China (and 1 more)
- Peng Liu 0020 — PLA University of Science and Technology, Department of Network Engineering, Nanjing, China
- Peng Liu 0021 — Huazhong University of Science and Technology, School of Electric and Electronic Engineering, Wuhan, China
- Peng Liu 0022 — Southeast University, School of Automation, Nanjing, China
- Peng Liu 0023 — Jilin University, School of Computer Science and Technology, Changchun, China
- Peng Liu 0024 — Chinese Academic of Science, Institute of Remote Sensing and Digital Earth, Beijing, China
- Peng Liu 0026 — Ohio State University, Department of Electrical and Computer Engineering, Columbus, OH, USA
- Peng Liu 0027 — Hangzhou Dianzi University, School of Computer Science and Technology, National Demonstration Center for Experimental Computer Education, China (and 1 more)
- Peng Liu 0028 — Beijing University of Technology, College of Metropolitan Transportation, China
- Peng Liu 0029 — Jiangnan Institute of Computing Technology, Wuxi, China
- Peng Liu 0030 — Tianjin University, Department of Industrial Engineering, College of Management and Economics, China (and 1 more)
- Peng Liu 0031 — Pennsylvania State University, Department of Electrical Engineering, University Park, PA, USA
- Peng Liu 0032 — Beihang University, School of Electronic and Information Engineering, Beijing, China
- Peng Liu 0033 — Chinese Academy of Science, Institute of Acoustics, Key Laboratory of Information Technology for Autonomous Underwater Vehicles, Beijing, China
- Peng Liu 0034 — University of Newcastle Upon Tyne, UK
- Peng Liu 0035 — Harbin Engineering University, College of Computer Science and Technology, Harbin, China
- Peng Liu 0036 — Ocean University of China, Computing Center, Qingdao, China
- Peng Liu 0037 — University of Florida, J. Crayton Pruitt Family Department of Biomedical Engineering, Gainesvill, FL, USA
- Peng Liu 0038 — Zhengzhou University of Light Industry, College of Electronic and Information Engineering, Zhengzhou, China (and 1 more)
- Peng Liu 0039 — State University of New York at Binghamton, Department of Computer Science, Binghamton, NY, USA
- Peng Liu 0040 — North China Electric Power University, School of Electrical and Electronic Engineering, Beijing, China
- Peng Liu 0041 — University of Wisconsin-Madison, Department of Computer Sciences, Madison, WI, USA
- Peng Liu 0042 — China University of Petroleum, College of Mechanical and Electronic Engineering, Qingdao, China
- Peng Liu 0043 — University of Lausanne, Department of Actuarial Science, Lausanne, Switzerland
- Peng Liu 0044 — Guangxi Normal University, School of Computer Science and Information Technology, Guangxi Key Lab of Multi-Source Information Mining and Security, Guilin, China (and 1 more)
- Peng Liu 0045 — Guangdong University of Technology, School of Computers, Guangzhou, China (and 1 more)
- Peng Liu 0046 — Chinese Academy of Sciences, Institute of Acoustics, Haikou Laboratory, Haikou, China
- Peng Liu 0047 — Huawei Technologies, Wireless Technology Lab, Shenzhen, China (and 1 more)
- Peng Liu 0048 — University of Kent, UK
- Peng Liu 0049 — University of Electronic Science and Technology of China, Chengdu, China
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2020 – today
- 2023
[j6]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)- [j5]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) - [c12]Yujie Xing, Peng Liu:
Prompt and Instruction-Based Tuning for Response Generation in Conversational Question Answering. NLDB 2023: 156-169 - [c11]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 - [e2]Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Edward C. Malthouse, Jon Atle Gulla, Anett Hoppe, Ran Yu, Jiqun Liu:
Joint Proceedings of the 10th International Workshop on News Recommendation and Analytics (INRA 2022) and the 3rd International Workshop on Investigating Learning During Web Search (IWILDS 2022) co-located with 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, Spain, July 15, 2022. CEUR Workshop Proceedings 3411, CEUR-WS.org 2023 [contents] - [i4]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) - [i3]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
- [c10]Peng Liu, Cristina Marco, Jon Atle Gulla:
Building Sentiment Lexicons for Mainland Scandinavian Languages Using Machine Translation and Sentence Embeddings. LREC 2022: 2816-2825 - [c9]Yujie Xing, Jinglun Cai, Nils Barlaug, Peng Liu, Jon Atle Gulla:
Balancing Multi-Domain Corpora Learning for Open-Domain Response Generation. NAACL-HLT (Findings) 2022: 2104-2120 - [c8]Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Jon Atle Gulla, Edward C. Malthouse:
The 10th International Workshop on News Recommendation and Analytics (INRA 2022). SIGIR 2022: 3470-3473 - [e1]Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Zhixin Pu, Jon Atle Gulla:
Proceedings of the 9th International Workshop on News Recommendation and Analytics (INRA 2021) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), Amsterdam, Netherlands, September 27, 2021. CEUR Workshop Proceedings 3143, CEUR-WS.org 2022 [contents] - [i2]Yujie Xing, Jinglun Cai, Nils Barlaug, Peng Liu, Jon Atle Gulla:
Balancing Multi-Domain Corpora Learning for Open-Domain Response Generation. CoRR abs/2205.02570 (2022) - [i1]Lemei Zhang, Peng Liu, Jon Atle Gulla:
Recommending on Graphs: A Comprehensive Review from Data Perspective. CoRR abs/2212.12230 (2022) - 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) - [c7]Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Zhixin Pu, Jon Atle Gulla:
9th International Workshop on News Recommendation and Analytics. RecSys 2021: 772-774 - 2020
- [b1]Peng Liu:
Exploiting Latent Context for Effective Social Recommendation. Norwegian University of Science and Technology, Trondheim, Norway, 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)
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) - [c6]Peng Liu, Cristina Marco, Jon Atle Gulla:
Semi-supervised Sentiment Analysis for Under-Resourced Languages with a Sentiment Lexicon. INRA@RecSys 2019: 12-17 - 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
Coauthor Index
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