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Yupeng Hou
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2020 – today
- 2024
- [j6]Fengli Gao, Yike Wu, Cui Gan, Yupeng Hou, Dehua Deng, Xinyao Yi
:
Overview of the Design and Application of Photothermal Immunoassays. Sensors 24(19): 6458 (2024) - [c23]Jianing Wang, Junda Wu, Yupeng Hou, Yao Liu, Ming Gao, Julian J. McAuley:
InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment. ACL (Findings) 2024: 13492-13510 - [c22]Zihan Liu
Multi-Behavior Generative Recommendation. CIKM 2024: 1575-1585 - [c21]Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian J. McAuley, Wayne Xin Zhao:
Large Language Models are Zero-Shot Rankers for Recommender Systems. ECIR (2) 2024: 364-381 - [c20]Bowen Zheng, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ming Chen, Ji-Rong Wen:
Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation. ICDE 2024: 1435-1448 - [c19]Junda Wu
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation. KDD 2024: 3391-3401 - [c18]Chen Yang
Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method. KDD 2024: 3714-3723 - [c17]Gaowei Zhang
Scaling Law of Large Sequential Recommendation Models. RecSys 2024: 444-453 - [c16]Junjie Zhang
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems. WWW 2024: 3679-3689 - [i30]Jianing Wang, Junda Wu, Yupeng Hou, Yao Liu, Ming Gao, Julian J. McAuley:
InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment. CoRR abs/2402.08785 (2024) - [i29]Yupeng Hou, Jiacheng Li, Zhankui He, An Yan, Xiusi Chen, Julian J. McAuley:
Bridging Language and Items for Retrieval and Recommendation. CoRR abs/2403.03952 (2024) - [i28]Junda Wu, Cheng-Chun Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian J. McAuley:
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation. CoRR abs/2403.06447 (2024) - [i27]Ming Li, Pei Chen, Chenguang Wang, Hongyu Zhao, Yijun Liang, Yupeng Hou, Fuxiao Liu, Tianyi Zhou:
Mosaic IT: Enhancing Instruction Tuning with Data Mosaics. CoRR abs/2405.13326 (2024) - [i26]Zihan Liu, Yupeng Hou, Julian J. McAuley:
Multi-Behavior Generative Recommendation. CoRR abs/2405.16871 (2024) - [i25]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:
YuLan: An Open-source Large Language Model. CoRR abs/2406.19853 (2024) - [i24]Tingchen Fu, Yupeng Hou, Julian J. McAuley, Rui Yan:
Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts. CoRR abs/2408.05094 (2024) - [i23]Chen Yang, Sunhao Dai, Yupeng Hou, Wayne Xin Zhao, Jun Xu, Yang Song, Hengshu Zhu:
Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method. CoRR abs/2408.09748 (2024) - [i22]Yijie Ding, Yupeng Hou, Jiacheng Li, Julian J. McAuley:
Inductive Generative Recommendation via Retrieval-based Speculation. CoRR abs/2410.02939 (2024) - 2023
- [j5]Chenzhan Shang
Multi-grained hypergraph interest modeling for conversational recommendation. AI Open 4: 154-164 (2023) - [c15]Zheng Chen
The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models. CIKM 2023: 5267-5270 - [c14]Bowen Zheng
Reciprocal Sequential Recommendation. RecSys 2023: 89-100 - [c13]Lanling Xu
Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems. SIGIR 2023: 2837-2847 - [c12]Yupeng Hou
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. WWW 2023: 1162-1171 - [i21]Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang
A Survey of Large Language Models. CoRR abs/2303.18223 (2023) - [i20]Chenzhan Shang, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Jing Zhang:
Multi-grained Hypergraph Interest Modeling for Conversational Recommendation. CoRR abs/2305.04798 (2023) - [i19]Junjie Zhang, Ruobing Xie, Yupeng Hou, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach. CoRR abs/2305.07001 (2023) - [i18]Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian J. McAuley, Wayne Xin Zhao:
Large Language Models are Zero-Shot Rankers for Recommender Systems. CoRR abs/2305.08845 (2023) - [i17]Bowen Zheng, Yupeng Hou, Wayne Xin Zhao, Yang Song, Hengshu Zhu:
Reciprocal Sequential Recommendation. CoRR abs/2306.14712 (2023) - [i16]Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian J. McAuley, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems. CoRR abs/2310.09233 (2023) - [i15]Bowen Zheng, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ming Chen, Ji-Rong Wen:
Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation. CoRR abs/2311.09049 (2023) - [i14]Gaowei Zhang, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ji-Rong Wen:
Scaling Law of Large Sequential Recommendation Models. CoRR abs/2311.11351 (2023) - 2022
- [j4]Guoce Feng, Lei Zhang, Feifan Ai, Yirui Zhang, Yupeng Hou:
An Improved Temporal Fusion Transformers Model for Predicting Supply Air Temperature in High-Speed Railway Carriages. Entropy 24(8): 1111 (2022) - [j3]Xiaosong Zhao, Lei Zhang, Yixin Cao, Kai Jin, Yupeng Hou:
Anomaly Detection Approach in Industrial Control Systems Based on Measurement Data. Inf. 13(10): 450 (2022) - [c11]Shanlei Mu, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Bolin Ding:
ID-Agnostic User Behavior Pre-training for Sequential Recommendation. CCIR 2022: 16-27 - [c10]Wayne Xin Zhao, Yupeng Hou, Xingyu Pan, Chen Yang, Zeyu Zhang
RecBole 2.0: Towards a More Up-to-Date Recommendation Library. CIKM 2022: 4722-4726 - [c9]Yupeng Hou
Leveraging Search History for Improving Person-Job Fit. DASFAA (1) 2022: 38-54 - [c8]Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen:
Privacy-Preserved Neural Graph Similarity Learning. ICDM 2022: 191-200 - [c7]Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen:
Towards Universal Sequence Representation Learning for Recommender Systems. KDD 2022: 585-593 - [c6]Chen Yang, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen, Wayne Xin Zhao:
Modeling Two-Way Selection Preference for Person-Job Fit. RecSys 2022: 102-112 - [c5]Yupeng Hou
Neural Graph Matching for Pre-training Graph Neural Networks. SDM 2022: 172-180 - [c4]Yupeng Hou
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. SIGIR 2022: 1796-1801 - [c3]Zihan Lin
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning. WWW 2022: 2320-2329 - [i13]Zihan Lin, Changxin Tian, Yupeng Hou, Wayne Xin Zhao:
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning. CoRR abs/2202.06200 (2022) - [i12]Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen:
Neural Graph Matching for Pre-training Graph Neural Networks. CoRR abs/2203.01597 (2022) - [i11]Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Shuqing Bian, Yang Song, Tao Zhang, Ji-Rong Wen:
Leveraging Search History for Improving Person-Job Fit. CoRR abs/2203.14232 (2022) - [i10]Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao:
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. CoRR abs/2204.11067 (2022) - [i9]Shanlei Mu, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Bolin Ding:
ID-Agnostic User Behavior Pre-training for Sequential Recommendation. CoRR abs/2206.02323 (2022) - [i8]Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen:
Towards Universal Sequence Representation Learning for Recommender Systems. CoRR abs/2206.05941 (2022) - [i7]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:
RecBole 2.0: Towards a More Up-to-Date Recommendation Library. CoRR abs/2206.07351 (2022) - [i6]Chen Yang, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen, Wayne Xin Zhao:
Modeling Two-Way Selection Preference for Person-Job Fit. CoRR abs/2208.08612 (2022) - [i5]Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen:
Privacy-Preserved Neural Graph Similarity Learning. CoRR abs/2210.11730 (2022) - [i4]Yupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao:
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. CoRR abs/2210.12316 (2022) - [i3]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:
Recent Advances in RecBole: Extensions with more Practical Considerations. CoRR abs/2211.15148 (2022) - 2021
- [c2]Wayne Xin Zhao, Shanlei Mu, Yupeng Hou
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. CIKM 2021: 4653-4664 - 2020
- [j2]Shuqin Geng
Analysis and Computational Methods for a Reader Solenoid Coil Used in Industrial Environments. IEEE Trans. Ind. Electron. 67(4): 3298-3306 (2020) - [j1]Wayne Xin Zhao, Yupeng Hou
Learning Semantic Representations from Directed Social Links to Tag Microblog Users at Scale. ACM Trans. Inf. Syst. 38(2): 17:1-17:30 (2020) - [c1]Shuqing Bian, Xu Chen, Wayne Xin Zhao, Kun Zhou, Yupeng Hou
Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network. CIKM 2020: 65-74 - [i2]Shuqing Bian, Xu Chen, Wayne Xin Zhao, Kun Zhou, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen:
Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network. CoRR abs/2009.13299 (2020) - [i1]Wayne Xin Zhao, Shanlei Mu, Yupeng Hou
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. CoRR abs/2011.01731 (2020)
Coauthor Index
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