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Yupeng Hou

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

31

Venues

14

Active years

2020–2026

Best venue rank

A*

Where they publish

Papers

31 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIInductive Generative Recommendation via Retrieval-based Speculation.Yijie Ding, Jiacheng Li, Julian J. McAuley, Yupeng Hou
2026ACLBridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders.Yupeng Hou, Jiacheng Li, Xiangjun Fu, Zhankui He, An Yan, Xiusi Chen, Julian J. McAuley
2026ACLDeriving Character Logic from Storyline as Codified Decision Trees.Letian Peng, Kun Zhou, Longfei Yun, Yupeng Hou, Jingbo Shang
2025ACLMosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning.Ming Li, Pei Chen, Chenguang Wang, Hongyu Zhao, Yijun Liang, Yupeng Hou, Fuxiao Liu, Tianyi Zhou
2025CIKMTowards Large Generative Recommendation: A Tokenization Perspective.Yupeng Hou, An Zhang, Leheng Sheng, Jiancan Wu, Xiang Wang, Tat-Seng Chua, Julian J. McAuley
2025ICMLActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation.Yupeng Hou, Jianmo Ni, Zhankui He, Noveen Sachdeva, Wang-Cheng Kang, Ed H. Chi, Julian J. McAuley, Derek Zhiyuan Cheng
2025KDDGenerating Long Semantic IDs in Parallel for Recommendation.Yupeng Hou, Jiacheng Li, Ashley Shin, Jinsung Jeon, Abhishek Santhanam, Wei Shao, Kaveh Hassani, Ning Yao, Julian J. McAuley
2025NAACLUnlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts.Tingchen Fu, Yupeng Hou, Julian J. McAuley, Rui Yan
2025WWWGenerative Recommendation Models: Progress and Directions.Yupeng Hou, An Zhang, Leheng Sheng, Zhengyi Yang, Xiang Wang, Tat-Seng Chua, Julian J. McAuley
2024ACLInstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment.Jianing Wang, Junda Wu, Yupeng Hou, Yao Liu, Ming Gao, Julian J. McAuley
2024CIKMMulti-Behavior Generative Recommendation.Zihan Liu, Yupeng Hou, Julian J. McAuley
2024ECIRLarge Language Models are Zero-Shot Rankers for Recommender Systems.Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian J. McAuley, Wayne Xin Zhao
2024ICDEAdapting Large Language Models by Integrating Collaborative Semantics for Recommendation.Bowen Zheng, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ming Chen, Ji-Rong Wen
2024KDDCoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation.Junda Wu, Cheng-Chun Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian J. McAuley
2024KDDRevisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method.Chen Yang, Sunhao Dai, Yupeng Hou, Wayne Xin Zhao, Jun Xu, Yang Song, Hengshu Zhu
2024RecSysScaling Law of Large Sequential Recommendation Models.Gaowei Zhang, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ji-Rong Wen
2024WWWAgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems.Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian J. McAuley, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen
2023CIKMThe First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models.Zheng Chen, Ziyan Jiang, Fan Yang, Zhankui He, Yupeng Hou, Eunah Cho, Julian J. McAuley, Aram Galstyan, Xiaohua Hu, Jie Yang
2023RecSysReciprocal Sequential Recommendation.Bowen Zheng, Yupeng Hou, Wayne Xin Zhao, Yang Song, Hengshu Zhu
2023WWWLearning Vector-Quantized Item Representation for Transferable Sequential Recommenders.Yupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao
2023SIGIRTowards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems.Lanling Xu, Zhen Tian, Gaowei Zhang, Junjie Zhang, Lei Wang, Bowen Zheng, Yifan Li, Jiakai Tang, Zeyu Zhang, Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Xu Chen, Ji-Rong Wen
2022CIKMRecBole 2.0: Towards a More Up-to-Date Recommendation Library.Wayne Xin Zhao, Yupeng Hou, Xingyu Pan, Chen Yang, Zeyu Zhang, Zihan Lin, Jingsen Zhang, Shuqing Bian, Jiakai Tang, Wenqi Sun, Yushuo Chen, Lanling Xu, Gaowei Zhang, Zhen Tian, Changxin Tian, Shanlei Mu, Xinyan Fan, Xu Chen, Ji-Rong Wen
2022DASFAALeveraging Search History for Improving Person-Job Fit.Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Shuqing Bian, Yang Song, Tao Zhang, Ji-Rong Wen
2022ICDMPrivacy-Preserved Neural Graph Similarity Learning.Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen
2022KDDTowards Universal Sequence Representation Learning for Recommender Systems.Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen
2022RecSysModeling Two-Way Selection Preference for Person-Job Fit.Chen Yang, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen, Wayne Xin Zhao
2022WWWImproving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning.Zihan Lin, Changxin Tian, Yupeng Hou, Wayne Xin Zhao
2022SIGIRCORE: Simple and Effective Session-based Recommendation within Consistent Representation Space.Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao
2022SDMNeural Graph Matching for Pre-training Graph Neural Networks.Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen
2021CIKMRecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms.Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Yushuo Chen, Xingyu Pan, Kaiyuan Li, Yujie Lu, Hui Wang, Changxin Tian, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen
2020CIKMLearning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network.Shuqing Bian, Xu Chen, Wayne Xin Zhao, Kun Zhou, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen