Yupeng Hou - RankMe

84 papers A* 12A 10Journal 54Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Codified Finite-state Machines for Role-playing. CoRR Letian Peng, Yupeng Hou, Kun Zhou, Jingbo Shang
2026	J	`jnl`	Codified Foreshadowing-Payoff Text Generation. CoRR Longfei Yun, Kun Zhou, Yupeng Hou, Letian Peng, Jingbo Shang
2026	J	`jnl`	Deriving Character Logic from Storyline as Codified Decision Trees. CoRR Letian Peng, Kun Zhou, Longfei Yun, Yupeng Hou, Jingbo Shang
2026	J	`jnl`	Erratum: Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach. ACM Trans. Inf. Syst. Junjie Zhang, Ruobing Xie, Yupeng Hou, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen
2026	J	`jnl`	FusID: Modality-Fused Semantic IDs for Generative Music Recommendation. CoRR Haven Kim, Yupeng Hou, Julian J. McAuley
2026	J	`jnl`	Give Users the Wheel: Towards Promptable Recommendation Paradigm. CoRR Fuyuan Lyu, Chenglin Luo, Qiyuan Zhang, Yupeng Hou, Haolun Wu, Xing Tang, Xue Liu, Jin L. C. Guo, Xiuqiang He
2026	J	`jnl`	How Well Does Generative Recommendation Generalize? CoRR Yijie Ding, Zitian Guo, Jiacheng Li, Letian Peng, Shuai Shao, Wei Shao, Xiaoqiang Luo, Luke Simon, Jingbo Shang, Julian J. McAuley, Yupeng Hou
2026	J	`jnl`	Hybrid transfer semantic segmentation architecture for hyperspectral image classification. Digit. Signal Process. Huaiping Yan, Yupeng Hou, Chengcai Leng, Yilin Li, Yang Li
2026	A*	`conf`	Inductive Generative Recommendation via Retrieval-based Speculation. AAAI Yijie Ding, Jiacheng Li, Julian J. McAuley, Yupeng Hou
2025	A*	`conf`	ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation. ICML Yupeng Hou, Jianmo Ni, Zhankui He, Noveen Sachdeva, Wang-Cheng Kang, Ed H. Chi, Julian J. McAuley, Derek Zhiyuan Cheng
2025	J	`jnl`	ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation. CoRR Yupeng Hou, Jianmo Ni, Zhankui He, Noveen Sachdeva, Wang-Cheng Kang, Ed H. Chi, Julian J. McAuley, Derek Zhiyuan Cheng
2025	J	`jnl`	CoFiRec: Coarse-to-Fine Tokenization for Generative Recommendation. CoRR Tianxin Wei, Xuying Ning, Xuxing Chen, Ruizhong Qiu, Yupeng Hou, Yan Xie, Shuang Yang, Zhigang Hua, Jingrui He
2025	—	`conf`	Generating Long Semantic IDs in Parallel for Recommendation. KDD (2) Yupeng Hou, Jiacheng Li, Ashley Shin, Jinsung Jeon, Abhishek Santhanam, Wei Shao, Kaveh Hassani, Ning Yao, Julian J. McAuley
2025	J	`jnl`	Generating Long Semantic IDs in Parallel for Recommendation. CoRR Yupeng Hou, Jiacheng Li, Ashley Shin, Jinsung Jeon, Abhishek Santhanam, Wei Shao, Kaveh Hassani, Ning Yao, Julian J. McAuley
2025	—	`conf`	Generative Recommendation Models: Progress and Directions. WWW (Companion Volume) Yupeng Hou, An Zhang, Leheng Sheng, Zhengyi Yang, Xiang Wang, Tat-Seng Chua, Julian J. McAuley
2025	J	`jnl`	Mitigating the Impact of Labeling Inaccuracies on 3D Human Body Reconstruction from Monocular Videos. Int. J. Comput. Intell. Syst. Yupeng Hou, Guangping Zeng
2025	—	`conf`	Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning. ACL (Findings) Ming Li, Pei Chen, Chenguang Wang, Hongyu Zhao, Yijun Liang, Yupeng Hou, Fuxiao Liu, Tianyi Zhou
2025	J	`jnl`	MuseTok: Symbolic Music Tokenization for Generation and Semantic Understanding. CoRR Jingyue Huang, Zachary Novack, Phillip Long, Yupeng Hou, Ke Chen, Taylor Berg-Kirkpatrick, Julian J. McAuley
2025	J	`jnl`	Pctx: Tokenizing Personalized Context for Generative Recommendation. CoRR Qiyong Zhong, Jiajie Su, Yunshan Ma, Julian J. McAuley, Yupeng Hou
2025	J	`jnl`	Purely Semantic Indexing for LLM-based Generative Recommendation and Retrieval. CoRR Ruohan Zhang, Jiacheng Li, Julian J. McAuley, Yupeng Hou
2025	J	`jnl`	Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach. ACM Trans. Inf. Syst. Junjie Zhang, Ruobing Xie, Yupeng Hou, Xin Zhao, Leyu Lin, Ji-Rong Wen
2025	J	`jnl`	Review-Enhanced Universal Sequence Representation Learning for Recommender Systems. ACM Trans. Inf. Syst. Junjie Zhang, Wenqi Sun, Yupeng Hou, Wayne Xin Zhao, Ji-Rong Wen
2025	J	`jnl`	RuleAgent: Discovering Rules for Recommendation Denoising with Autonomous Language Agents. CoRR Zongwei Wang, Min Gao, Junliang Yu, Yupeng Hou, Shazia Sadiq, Hongzhi Yin
2025	A	`conf`	Towards Large Generative Recommendation: A Tokenization Perspective. CIKM Yupeng Hou, An Zhang, Leheng Sheng, Jiancan Wu, Xiang Wang, Tat-Seng Chua, Julian J. McAuley
2025	—	`conf`	Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts. NAACL (Long Papers) Tingchen Fu, Yupeng Hou, Julian J. McAuley, Rui Yan
2024	A*	`conf`	Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation. ICDE Bowen Zheng, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ming Chen, Ji-Rong Wen
2024	A*	`conf`	AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems. WWW Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian J. McAuley, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen
2024	J	`jnl`	Bridging Language and Items for Retrieval and Recommendation. CoRR Yupeng Hou, Jiacheng Li, Zhankui He, An Yan, Xiusi Chen, Julian J. McAuley
2024	A*	`conf`	CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation. KDD Junda Wu, Cheng-Chun Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian J. McAuley
2024	J	`jnl`	CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation. CoRR Junda Wu, Cheng-Chun Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian J. McAuley
2024	J	`jnl`	Inductive Generative Recommendation via Retrieval-based Speculation. CoRR Yijie Ding, Yupeng Hou, Jiacheng Li, Julian J. McAuley
2024	—	`conf`	InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment. ACL (Findings) Jianing Wang, Junda Wu, Yupeng Hou, Yao Liu, Ming Gao, Julian J. McAuley
2024	J	`jnl`	InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment. CoRR Jianing Wang, Junda Wu, Yupeng Hou, Yao Liu, Ming Gao, Julian J. McAuley
2024	—	`conf`	Large Language Models are Zero-Shot Rankers for Recommender Systems. ECIR (2) Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian J. McAuley, Wayne Xin Zhao
2024	J	`jnl`	Mosaic IT: Enhancing Instruction Tuning with Data Mosaics. CoRR Ming Li, Pei Chen, Chenguang Wang, Hongyu Zhao, Yijun Liang, Yupeng Hou, Fuxiao Liu, Tianyi Zhou
2024	A	`conf`	Multi-Behavior Generative Recommendation. CIKM Zihan Liu, Yupeng Hou, Julian J. McAuley
2024	J	`jnl`	Multi-Behavior Generative Recommendation. CoRR Zihan Liu, Yupeng Hou, Julian J. McAuley
2024	J	`jnl`	Overview of the Design and Application of Photothermal Immunoassays. Sensors Fengli Gao, Yike Wu, Cui Gan, Yupeng Hou, Dehua Deng, Xinyao Yi
2024	A*	`conf`	Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method. KDD Chen Yang, Sunhao Dai, Yupeng Hou, Wayne Xin Zhao, Jun Xu, Yang Song, Hengshu Zhu
2024	J	`jnl`	Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method. CoRR Chen Yang, Sunhao Dai, Yupeng Hou, Wayne Xin Zhao, Jun Xu, Yang Song, Hengshu Zhu
2024	A	`conf`	Scaling Law of Large Sequential Recommendation Models. RecSys Gaowei Zhang, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ji-Rong Wen
2024	J	`jnl`	Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts. CoRR Tingchen Fu, Yupeng Hou, Julian J. McAuley, Rui Yan
2024	J	`jnl`	YuLan: An Open-source Large Language Model. CoRR 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
2023	J	`jnl`	A Survey of Large Language Models. CoRR 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
2023	J	`jnl`	Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation. CoRR Bowen Zheng, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ming Chen, Ji-Rong Wen
2023	J	`jnl`	AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems. CoRR Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian J. McAuley, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen
2023	J	`jnl`	Large Language Models are Zero-Shot Rankers for Recommender Systems. CoRR Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian J. McAuley, Wayne Xin Zhao
2023	A*	`conf`	Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. WWW Yupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao
2023	J	`jnl`	Multi-grained Hypergraph Interest Modeling for Conversational Recommendation. CoRR Chenzhan Shang, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Jing Zhang
2023	J	`jnl`	Multi-grained hypergraph interest modeling for conversational recommendation. AI Open Chenzhan Shang, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Jing Zhang
2023	A	`conf`	Reciprocal Sequential Recommendation. RecSys Bowen Zheng, Yupeng Hou, Wayne Xin Zhao, Yang Song, Hengshu Zhu
2023	J	`jnl`	Reciprocal Sequential Recommendation. CoRR Bowen Zheng, Yupeng Hou, Wayne Xin Zhao, Yang Song, Hengshu Zhu
2023	J	`jnl`	Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach. CoRR Junjie Zhang, Ruobing Xie, Yupeng Hou, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen
2023	J	`jnl`	Scaling Law of Large Sequential Recommendation Models. CoRR Gaowei Zhang, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ji-Rong Wen
2023	A	`conf`	The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models. CIKM Zheng Chen, Ziyan Jiang, Fan Yang, Zhankui He, Yupeng Hou, Eunah Cho, Julian J. McAuley, Aram Galstyan, Xiaohua Hu, Jie Yang
2023	A*	`conf`	Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems. SIGIR 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
2022	J	`jnl`	An Improved Temporal Fusion Transformers Model for Predicting Supply Air Temperature in High-Speed Railway Carriages. Entropy Guoce Feng, Lei Zhang, Feifan Ai, Yirui Zhang, Yupeng Hou
2022	J	`jnl`	Anomaly Detection Approach in Industrial Control Systems Based on Measurement Data. Inf. Xiaosong Zhao, Lei Zhang, Yixin Cao, Kai Jin, Yupeng Hou
2022	A*	`conf`	CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. SIGIR Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao
2022	J	`jnl`	CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. CoRR Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao
2022	—	`conf`	ID-Agnostic User Behavior Pre-training for Sequential Recommendation. CCIR Shanlei Mu, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Bolin Ding
2022	J	`jnl`	ID-Agnostic User Behavior Pre-training for Sequential Recommendation. CoRR Shanlei Mu, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Bolin Ding
2022	A*	`conf`	Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning. WWW Zihan Lin, Changxin Tian, Yupeng Hou, Wayne Xin Zhao
2022	J	`jnl`	Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning. CoRR Zihan Lin, Changxin Tian, Yupeng Hou, Wayne Xin Zhao
2022	J	`jnl`	Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. CoRR Yupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao
2022	—	`conf`	Leveraging Search History for Improving Person-Job Fit. DASFAA (1) Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Shuqing Bian, Yang Song, Tao Zhang, Ji-Rong Wen
2022	J	`jnl`	Leveraging Search History for Improving Person-Job Fit. CoRR Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Shuqing Bian, Yang Song, Tao Zhang, Ji-Rong Wen
2022	A	`conf`	Modeling Two-Way Selection Preference for Person-Job Fit. RecSys Chen Yang, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen, Wayne Xin Zhao
2022	J	`jnl`	Modeling Two-Way Selection Preference for Person-Job Fit. CoRR Chen Yang, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen, Wayne Xin Zhao
2022	A	`conf`	Neural Graph Matching for Pre-training Graph Neural Networks. SDM Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen
2022	J	`jnl`	Neural Graph Matching for Pre-training Graph Neural Networks. CoRR Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen
2022	A*	`conf`	Privacy-Preserved Neural Graph Similarity Learning. ICDM Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen
2022	J	`jnl`	Privacy-Preserved Neural Graph Similarity Learning. CoRR Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen
2022	A	`conf`	RecBole 2.0: Towards a More Up-to-Date Recommendation Library. CIKM 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
2022	J	`jnl`	RecBole 2.0: Towards a More Up-to-Date Recommendation Library. CoRR 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
2022	J	`jnl`	Recent Advances in RecBole: Extensions with more Practical Considerations. CoRR 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
2022	A*	`conf`	Towards Universal Sequence Representation Learning for Recommender Systems. KDD Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen
2022	J	`jnl`	Towards Universal Sequence Representation Learning for Recommender Systems. CoRR Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen
2021	A	`conf`	RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. CIKM 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
2020	J	`jnl`	Analysis and Computational Methods for a Reader Solenoid Coil Used in Industrial Environments. IEEE Trans. Ind. Electron. Shuqin Geng, Yupeng Hou, Menghao Chu, Yuxin Bai, Ligang Hou, Heng Wang
2020	J	`jnl`	Learning Semantic Representations from Directed Social Links to Tag Microblog Users at Scale. ACM Trans. Inf. Syst. Wayne Xin Zhao, Yupeng Hou, Junhua Chen, Jonathan J. H. Zhu, Eddy Jing Yin, Hanting Su, Ji-Rong Wen
2020	A	`conf`	Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network. CIKM Shuqing Bian, Xu Chen, Wayne Xin Zhao, Kun Zhou, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen
2020	J	`jnl`	Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network. CoRR Shuqing Bian, Xu Chen, Wayne Xin Zhao, Kun Zhou, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen
2020	J	`jnl`	RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. CoRR Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Kaiyuan Li, Yushuo Chen, Yujie Lu, Hui Wang, Changxin Tian, Xingyu Pan, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen