Fajie Yuan

2025

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Exploring the Upper Limits of Text-Based Collaborative Filtering Using Large Language Models: Discoveries and Insights.
Ruyu Li|Wenhao Deng|Yu Cheng|Zheng Yuan|Jiaqi Zhang|Fajie Yuan
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
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A Content-Driven Micro-Video Recommendation Dataset at Scale.
Yongxin Ni|Yu Cheng|Xiangyan Liu|Junchen Fu|Youhua Li|Xiangnan He|Yongfeng Zhang|Fajie Yuan
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025

2024

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Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors.
Binzong Geng|Zhaoxin Huan|Xiaolu Zhang|Yong He|Liang Zhang|Fajie Yuan|Jun Zhou|Linjian Mo
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
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Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset.
Zhaoxin Huan|Ke Ding|Ang Li|Xiaolu Zhang|Xu Min|Yong He|Liang Zhang|Jun Zhou|Linjian Mo|Jinjie Gu|Zhongyi Liu|Wenliang Zhong|Guannan Zhang|Chenliang Li|Fajie Yuan
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
doi dblp
Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights.
Junchen Fu|Fajie Yuan|Yu Song|Zheng Yuan|Mingyue Cheng|Shenghui Cheng|Jiaqi Zhang|Jie Wang|Yunzhu Pan
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024

2023

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Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited.
Zheng Yuan|Fajie Yuan|Yu Song|Youhua Li|Junchen Fu|Fei Yang|Yunzhu Pan|Yongxin Ni
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023

2022

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Enhancing Top-N Item Recommendations by Peer Collaboration.
Yang Sun|Fajie Yuan|Min Yang|Alexandros Karatzoglou|Li Shen|Xiaoyan Zhao
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022

2021

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Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement.
Mingyue Cheng|Fajie Yuan|Qi Liu|Shenyang Ge|Zhi Li|Runlong Yu|Defu Lian|Senchao Yuan|Enhong Chen
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021
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Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification.
Binzong Geng|Min Yang|Fajie Yuan|Shupeng Wang|Xiang Ao|Ruifeng Xu
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021
doi dblp
StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking.
Jiachun Wang|Fajie Yuan|Jian Chen|Qingyao Wu|Min Yang|Yang Sun|Guoxiao Zhang
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021
doi dblp
One Person, One Model, One World: Learning Continual User Representation without Forgetting.
Fajie Yuan|Guoxiao Zhang|Alexandros Karatzoglou|Joemon M. Jose|Beibei Kong|Yudong Li
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

2020

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A Generic Network Compression Framework for Sequential Recommender Systems.
Yang Sun|Fajie Yuan|Min Yang|Guoao Wei|Zhou Zhao|Duo Liu
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020
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Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation.
Fajie Yuan|Xiangnan He|Alexandros Karatzoglou|Liguang Zhang
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020
doi dblp
Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation.
Fajie Yuan|Xiangnan He|Haochuan Jiang|Guibing Guo|Jian Xiong|Zhezhao Xu|Yilin Xiong
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

2019

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Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering.
Xiaoyu Du|Xiangnan He|Fajie Yuan|Jinhui Tang|Zhiguang Qin|Tat-Seng Chua
ACM Transactions on Information Systems (TOIS) 2019 Volume 37 Issue 4
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A Simple Convolutional Generative Network for Next Item Recommendation.
Fajie Yuan|Alexandros Karatzoglou|Ioannis Arapakis|Joemon M. Jose|Xiangnan He
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019

2018

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Revisiting the cluster-based paradigm for implicit search result diversification.
Haitao Yu|Adam Jatowt|Roi Blanco|Hideo Joho|Joemon M. Jose|Long Chen|Fajie Yuan
Information Processing and Management 2018 Volume 54 Issue 4
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Improving Negative Sampling for Word Representation using Self-embedded Features.
Long Chen|Fajie Yuan|Joemon M. Jose|Weinan Zhang
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018

2017

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LTRo: Learning to Route Queries in Clustered P2P IR.
Rami Suleiman Alkhawaldeh|Deepak P|Joemon M. Jose|Fajie Yuan
Advances in Information Retrieval - 39th European Conference on IR Research, ECIR 2017, Aberdeen, UK, April 8-13, 2017, Proceedings
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A Concise Integer Linear Programming Formulation for Implicit Search Result Diversification.
Haitao Yu|Adam Jatowt|Roi Blanco|Hideo Joho|Joemon M. Jose|Long Chen|Fajie Yuan
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017
doi dblp
A Semantic Graph-Based Approach for Mining Common Topics from Multiple Asynchronous Text Streams.
Long Chen|Joemon M. Jose|Haitao Yu|Fajie Yuan
Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017

2016

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An In-Depth Study of Implicit Search Result Diversification.
Haitao Yu|Adam Jatowt|Roi Blanco|Hideo Joho|Joemon M. Jose|Long Chen|Fajie Yuan
Information Retrieval Technology - 12th Asia Information Retrieval Societies Conference, AIRS 2016, Beijing, China, November 30 - December 2, 2016, Proceedings
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LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates.
Fajie Yuan|Guibing Guo|Joemon M. Jose|Long Chen|Haitao Yu|Weinan Zhang
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016
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Probabilistic Topic Modelling with Semantic Graph.
Long Chen|Joemon M. Jose|Haitao Yu|Fajie Yuan|Huaizhi Zhang
Advances in Information Retrieval - 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20-23, 2016. Proceedings
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GIR at the NTCIR-12 Temporalia Task.
Long Chen|Haitao Yu|Fajie Yuan|Joemon M. Jose
Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, National Center of Sciences, Tokyo, Japan, June 7-10, 2016
doi dblp
A Semantic Graph based Topic Model for Question Retrieval in Community Question Answering.
Long Chen|Joemon M. Jose|Haitao Yu|Fajie Yuan|Dell Zhang
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, San Francisco, CA, USA, February 22-25, 2016