Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network. - Shuqing Bian; Xu Chen 017; Wayne Xin Zhao; Kun Zhou 002; Yupeng Hou; Yang Song 021; Tao Zhang 070; Ji-Rong Wen (CIKM, 2020)

Analysis and Computational Methods for a Reader Solenoid Coil Used in Industrial Environments. - Shuqin Geng; Yupeng Hou; Menghao Chu; Yuxin Bai; Ligang Hou; Heng Wang (IEEE Trans. Ind. Electron., 2020)

Learning Semantic Representations from Directed Social Links to Tag Microblog Users at Scale. - Wayne Xin Zhao; Yupeng Hou; Junhua Chen; Jonathan J. H. Zhu; Eddy Jing Yin; Hanting Su; Ji-Rong Wen (ACM Trans. Inf. Syst., 2020)

RecBole: 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 072; Changxin Tian; Yingqian Min; Zhichao Feng; et al. (CIKM, 2021)

ID-Agnostic User Behavior Pre-training for Sequential Recommendation. - Shanlei Mu; Yupeng Hou; Wayne Xin Zhao; Yaliang Li; Bolin Ding (CCIR, 2022)

RecBole 2.0: Towards a More Up-to-Date Recommendation Library. - Wayne Xin Zhao; Yupeng Hou; Xingyu Pan; Chen Yang; Zeyu Zhang 007; Zihan Lin; Jingsen Zhang; Shuqing Bian; Jiakai Tang; Wenqi Sun; Yushuo Chen; Lanling Xu; et al. (CIKM, 2022)

Leveraging Search History for Improving Person-Job Fit. - Yupeng Hou; Xingyu Pan; Wayne Xin Zhao; Shuqing Bian; Yang Song 021; Tao Zhang 070; Ji-Rong Wen (DASFAA (1), 2022)

Privacy-Preserved Neural Graph Similarity Learning. - Yupeng Hou; Wayne Xin Zhao; Yaliang Li; Ji-Rong Wen (ICDM, 2022)

Towards Universal Sequence Representation Learning for Recommender Systems. - Yupeng Hou; Shanlei Mu; Wayne Xin Zhao; Yaliang Li; Bolin Ding; Ji-Rong Wen (KDD, 2022)

Modeling Two-Way Selection Preference for Person-Job Fit. - Chen Yang; Yupeng Hou; Yang Song 021; Tao Zhang 070; Ji-Rong Wen; Wayne Xin Zhao (RecSys, 2022)

Neural Graph Matching for Pre-training Graph Neural Networks. - Yupeng Hou; Binbin Hu; Wayne Xin Zhao; Zhiqiang Zhang 012; Jun Zhou 011; Ji-Rong Wen (SDM, 2022)

CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. - Yupeng Hou; Binbin Hu; Zhiqiang Zhang 012; Wayne Xin Zhao (SIGIR, 2022)

Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning. - Zihan Lin; Changxin Tian; Yupeng Hou; Wayne Xin Zhao (WWW, 2022)

Recent Advances in RecBole: Extensions with more Practical Considerations. - Lanling Xu; Zhen Tian 001; Gaowei Zhang; Lei Wang 198; Junjie Zhang 009; Bowen Zheng 005; Yifan Li 009; Yupeng Hou; Xingyu Pan; Yushuo Chen; Wayne Xin Zhao; Xu Chen 017; et al. (CoRR, 2022)

An Improved Temporal Fusion Transformers Model for Predicting Supply Air Temperature in High-Speed Railway Carriages. - Guoce Feng; Lei Zhang; Feifan Ai; Yirui Zhang; Yupeng Hou (Entropy, 2022)

Anomaly Detection Approach in Industrial Control Systems Based on Measurement Data. - Xiaosong Zhao; Lei Zhang; Yixin Cao 007; Kai Jin; Yupeng Hou (Inf., 2022)

The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models. - Zheng Chen 010; Ziyan Jiang; Fan Yang; Zhankui He; Yupeng Hou; Eunah Cho; Julian J. McAuley; Aram Galstyan; Xiaohua Hu 001; Jie Yang 028 (CIKM, 2023)

Reciprocal Sequential Recommendation. - Bowen Zheng 005; Yupeng Hou; Wayne Xin Zhao; Yang Song 021; Hengshu Zhu (RecSys, 2023)

Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems. - Lanling Xu; Zhen Tian 001; Gaowei Zhang; Junjie Zhang 009; Lei Wang 198; Bowen Zheng 005; Yifan Li 009; Jiakai Tang; Zeyu Zhang 007; Yupeng Hou; Xingyu Pan; Wayne Xin Zhao; et al. (SIGIR, 2023)

Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. - Yupeng Hou; Zhankui He; Julian J. McAuley; Wayne Xin Zhao (WWW, 2023)

A Survey of Large Language Models. - Wayne Xin Zhao; Kun Zhou 002; Junyi Li; Tianyi Tang; Xiaolei Wang 005; Yupeng Hou; Yingqian Min; Beichen Zhang; Junjie Zhang 009; Zican Dong; Yifan Du 002; Chen Yang; et al. (CoRR, 2023)

Multi-grained hypergraph interest modeling for conversational recommendation. - Chenzhan Shang; Yupeng Hou; Wayne Xin Zhao; Yaliang Li; Jing Zhang 001 (AI Open, 2023)

InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment. - Jianing Wang 002; Junda Wu; Yupeng Hou; Yao Liu 017; Ming Gao 001; Julian J. McAuley (ACL (Findings), 2024)

Multi-Behavior Generative Recommendation. - Zihan Liu; Yupeng Hou; Julian J. McAuley (CIKM, 2024)

Large Language Models are Zero-Shot Rankers for Recommender Systems. - Yupeng Hou; Junjie Zhang 009; Zihan Lin; Hongyu Lu; Ruobing Xie; Julian J. McAuley; Wayne Xin Zhao (ECIR (2), 2024)

Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation. - Bowen Zheng 005; Yupeng Hou; Hongyu Lu; Yu Chen; Wayne Xin Zhao; Ming Chen; Ji-Rong Wen (ICDE, 2024)

CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation. - Junda Wu; Cheng-Chun Chang; Tong Yu 001; Zhankui He; Jianing Wang 002; Yupeng Hou; Julian J. McAuley (KDD, 2024)

Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method. - Chen Yang; Sunhao Dai; Yupeng Hou; Wayne Xin Zhao; Jun Xu 001; Yang Song 021; Hengshu Zhu (KDD, 2024)

Scaling Law of Large Sequential Recommendation Models. - Gaowei Zhang; Yupeng Hou; Hongyu Lu; Yu Chen; Wayne Xin Zhao; Ji-Rong Wen (RecSys, 2024)

AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems. - Junjie Zhang 009; Yupeng Hou; Ruobing Xie; Wenqi Sun; Julian J. McAuley; Wayne Xin Zhao; Leyu Lin; Ji-Rong Wen (WWW, 2024)

Bridging Language and Items for Retrieval and Recommendation. - Yupeng Hou; Jiacheng Li 003; Zhankui He; An Yan 003; Xiusi Chen; Julian J. McAuley (CoRR, 2024)

Mosaic IT: Enhancing Instruction Tuning with Data Mosaics. - Ming Li; Pei Chen; Chenguang Wang; Hongyu Zhao; Yijun Liang; Yupeng Hou; Fuxiao Liu; Tianyi Zhou 001 (CoRR, 2024)

YuLan: An Open-source Large Language Model. - Yutao Zhu 001; Kun Zhou 002; Kelong Mao; Wentong Chen; Yiding Sun; Zhipeng Chen 001; Qian Cao 001; Yihan Wu; Yushuo Chen; Feng Wang; Lei Zhang; Junyi Li; et al. (CoRR, 2024)

Inductive Generative Recommendation via Retrieval-based Speculation. - Yijie Ding; Yupeng Hou; Jiacheng Li 003; Julian J. McAuley (CoRR, 2024)

Overview of the Design and Application of Photothermal Immunoassays. - Fengli Gao; Yike Wu; Cui Gan; Yupeng Hou; Dehua Deng; Xinyao Yi (Sensors, 2024)

Mosaic-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 001 (ACL (Findings), 2025)

Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts. - Tingchen Fu; Yupeng Hou; Julian J. McAuley; Rui Yan 001 (NAACL (Long Papers), 2025)

Generative Recommendation Models: Progress and Directions. - Yupeng Hou; An Zhang 003; Leheng Sheng; Zhengyi Yang 007; Xiang Wang 010; Tat-Seng Chua; Julian J. McAuley (WWW (Companion Volume), 2025)

ActionPiece: 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 (CoRR, 2025)

RuleAgent: Discovering Rules for Recommendation Denoising with Autonomous Language Agents. - Zongwei Wang 002; Min Gao 001; Junliang Yu; Yupeng Hou; Shazia Sadiq; Hongzhi Yin (CoRR, 2025)

Review-Enhanced Universal Sequence Representation Learning for Recommender Systems. - Junjie Zhang 009; Wenqi Sun; Yupeng Hou; Wayne Xin Zhao; Ji-Rong Wen (ACM Trans. Inf. Syst., 2025)

Generating Long Semantic IDs in Parallel for Recommendation. - Yupeng Hou; Jiacheng Li 003; Ashley Shin; Jinsung Jeon; Abhishek Santhanam; Wei Shao; Kaveh Hassani; Ning Yao; Julian J. McAuley (CoRR, 2025)

Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach. - Junjie Zhang 009; Ruobing Xie; Yupeng Hou; Xin Zhao 018; Leyu Lin; Ji-Rong Wen (ACM Trans. Inf. Syst., 2025)

Mitigating the Impact of Labeling Inaccuracies on 3D Human Body Reconstruction from Monocular Videos. - Yupeng Hou; Guangping Zeng (Int. J. Comput. Intell. Syst., 2025)