Yupeng Hou

According to our database, Yupeng Hou authored at least 36 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Overview of the Design and Application of Photothermal Immunoassays.

Fengli Gao, Yike Wu, Cui Gan, Yupeng Hou, Dehua Deng, Xinyao Yi

Sensors, October, 2024

Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts.

Tingchen Fu, Yupeng Hou, Julian J. McAuley, Rui Yan

CoRR, 2024

YuLan: An Open-source Large Language Model.

Yutao Zhu, Kun Zhou, Kelong Mao, Wentong Chen, Yiding Sun, Zhipeng Chen, Qian Cao, Yihan Wu, Yushuo Chen, Feng Wang, Lei Zhang, Junyi Li, Xiaolei Wang, Lei Wang, Beichen Zhang, Zican Dong, Xiaoxue Cheng, Yuhan Chen, Xinyu Tang, Yupeng Hou, Qiangqiang Ren, Xincheng Pang, Shufang Xie, Wayne Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ze-Feng Gao, Yueguo Chen, Weizheng Lu, Ji-Rong Wen

CoRR, 2024

Multi-Behavior Generative Recommendation.

Zihan Liu, Yupeng Hou, 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

CoRR, 2024

Bridging Language and Items for Retrieval and Recommendation.

Yupeng Hou, Jiacheng Li, Zhankui He, An Yan, Xiusi Chen, Julian J. McAuley

CoRR, 2024

AgentCF: 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

Proceedings of the ACM on Web Conference 2024, 2024

Scaling Law of Large Sequential Recommendation Models.

Gaowei Zhang, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ji-Rong Wen

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method.

Chen Yang, Sunhao Dai, Yupeng Hou, Wayne Xin Zhao, Jun Xu, Yang Song, Hengshu Zhu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

CoRAL: 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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Adapting 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

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Large 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

Proceedings of the Advances in Information Retrieval, 2024

InstructGraph: 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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Multi-grained hypergraph interest modeling for conversational recommendation.

Chenzhan Shang, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Jing Zhang

AI Open, January, 2023

Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach.

Junjie Zhang, Ruobing Xie, Yupeng Hou, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen

CoRR, 2023

A Survey of Large Language Models.

Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, Yifan Du, Chen Yang, Yushuo Chen, Zhipeng Chen, Jinhao Jiang, Ruiyang Ren, Yifan Li, Xinyu Tang, Zikang Liu, Peiyu Liu, Jian-Yun Nie, Ji-Rong Wen

CoRR, 2023

Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders.

Yupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao

Proceedings of the ACM Web Conference 2023, 2023

Towards 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

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Reciprocal Sequential Recommendation.

Bowen Zheng, Yupeng Hou, Wayne Xin Zhao, Yang Song, Hengshu Zhu

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

The 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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Anomaly Detection Approach in Industrial Control Systems Based on Measurement Data.

Xiaosong Zhao, Lei Zhang, Yixin Cao, Kai Jin, Yupeng Hou

Inf., 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

Recent Advances in RecBole: Extensions with more Practical Considerations.

Lanling Xu, Zhen Tian, Gaowei Zhang, Lei Wang, Junjie Zhang, Bowen Zheng, Yifan Li, Yupeng Hou, Xingyu Pan, Yushuo Chen, Wayne Xin Zhao, Xu Chen, Ji-Rong Wen

CoRR, 2022

Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning.

Zihan Lin, Changxin Tian, Yupeng Hou, Wayne Xin Zhao

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space.

Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Neural Graph Matching for Pre-training Graph Neural Networks.

Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Modeling Two-Way Selection Preference for Person-Job Fit.

Chen Yang, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen, Wayne Xin Zhao

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Towards Universal Sequence Representation Learning for Recommender Systems.

Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Privacy-Preserved Neural Graph Similarity Learning.

Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen

Proceedings of the IEEE International Conference on Data Mining, 2022

Leveraging Search History for Improving Person-Job Fit.

Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Shuqing Bian, Yang Song, Tao Zhang, Ji-Rong Wen

Proceedings of the Database Systems for Advanced Applications, 2022

RecBole 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

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

ID-Agnostic User Behavior Pre-training for Sequential Recommendation.

Shanlei Mu, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Bolin Ding

Proceedings of the Information Retrieval - 28th China Conference, 2022

2021

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, Changxin Tian, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

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

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 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

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020