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Yupeng Hou — most-cited papers & profile · Recommender Systems
← authors
·
overview
Yupeng Hou
21
papers ·
657
citations ·
20
h-index
UC San Diego Health System · University of California San Diego · Renmin University of China
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Towards Universal Sequence Representation Learning for Recommender Systems
2022 · 226 citations
RecBole 2.0: Towards a More Up-to-Date Recommendation Library
2022 · 139 citations
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space
2022 · 102 citations
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms
2020 · 39 citations
Multi-Behavior Generative Recommendation
2024 · 28 citations
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach
2023 · 25 citations
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation
2024 · 25 citations
Large Language Models are Zero-Shot Rankers for Recommender Systems
2023 · 23 citations
Reciprocal Sequential Recommendation
2023 · 9 citations
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders
2022 · 6 citations
Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation
2023 · 6 citations
Generating Long Semantic IDs in Parallel for Recommendation
2025 · 2 citations
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems
2023 · 2 citations
ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation
2025 · 1 citations
Purely Semantic Indexing for LLM-based Generative Recommendation and Retrieval
2025
Top co-authors
Wayne Xin Zhao
· 11
Julian McAuley
· 9
Ji-Rong Wen
· 5
Shanlei Mu
· 4
Junjie Zhang
· 3
Ruobing Xie
· 3
Yaliang Li
· 3
Zhankui He
· 3
Bolin Ding
· 2
Changxin Tian
· 2
Hongyu Lu
· 2
Jiacheng Li
· 2
Topics
LLM-based
Sequential & Session
Collaborative Filtering
Two-Tower & Retrieval
Ranking & CTR
Cold Start & Cross-Domain
Graph-based
Fairness & Ethics