IR
Anthology
Community
Pengfei
Wang
2025
doi
dblp
Towards Predicting Urban Land Use Changes: A Dynamic Graph Alignment Perspective.
Yu Fan
|
Xinjiang Lu
|
Hao Liu
|
Pengfei Wang
|
Liang Liu
|
Huadong Ma
|
Jingbo Zhou
ACM Transactions on Intelligent Systems and Technology (TIST) 2025 Volume 16 Issue 2
doi
dblp
Self-Optimizing Teacher and Auto-Matching Student Framework for Change-Point Representation Learning in Time Series Forecasting.
Jinxiao Fan
|
Pengfei Wang
|
Liang Liu
|
Huadong Ma
ACM Transactions on Intelligent Systems and Technology (TIST) 2025 Volume 16 Issue 3
2024
doi
dblp
Disentangle interest trend and diversity for sequential recommendation.
Zihao Li
|
Yunfan Xie
|
Wei Emma Zhang
|
Pengfei Wang
|
Lixin Zou
|
Fei Li
|
Xiangyang Luo
|
Chenliang Li
Information Processing and Management 2024 Volume 61 Issue 2
doi
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Contextual MAB Oriented Embedding Denoising for Sequential Recommendation.
Zhichao Feng
|
Pengfei Wang
|
Kaiyuan Li
|
Chenliang Li
|
Shangguang Wang
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024
doi
dblp
Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai.
Zhichao Feng
|
Junjie Xie
|
Kaiyuan Li
|
Yu Qin
|
Pengfei Wang
|
Qianzhong Li
|
Bin Yin
|
Xiang Li
|
Wei Lin
|
Shangguang Wang
Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024
2023
doi
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A Revisiting Study of Appropriate Offline Evaluation for Top-N Recommendation Algorithms.
Wayne Xin Zhao
|
Zihan Lin
|
Zhichao Feng
|
Pengfei Wang
|
Ji-Rong Wen
ACM Transactions on Information Systems (TOIS) 2023 Volume 41 Issue 2
doi
dblp
Configure Your Federation: Hierarchical Attention-enhanced Meta-Learning Network for Personalized Federated Learning.
Yujia Gao
|
Pengfei Wang
|
Liang Liu
|
Chi Zhang
|
Huadong Ma
ACM Transactions on Intelligent Systems and Technology (TIST) 2023 Volume 14 Issue 4
doi
dblp
Tutorial: Data Denoising Metrics in Recommender Systems.
Pengfei Wang
|
Chenliang Li
|
Lixin Zou
|
Zhichao Feng
|
Kaiyuan Li
|
Xiaochen Li
|
Xialong Liu
|
Shangguang Wang
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
doi
dblp
Communicative MARL-based Relevance Discerning Network for Repetition-Aware Recommendation.
Kaiyuan Li
|
Pengfei Wang
|
Haitao Wang
|
Qiang Liu
|
Xingxing Wang
|
Dong Wang
|
Shangguang Wang
Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023
2022
doi
dblp
A Multi-Interest Evolution Story: Applying Psychology in Query-based Recommendation for Inferring Customer Intention.
Yuqi Qin
|
Pengfei Wang
|
Biyu Ma
|
Zhe Zhang
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
doi
dblp
Multi-Agent RL-based Information Selection Model for Sequential Recommendation.
Kaiyuan Li
|
Pengfei Wang
|
Chenliang Li
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022
doi
dblp
Modality Matches Modality: Pretraining Modality-Disentangled Item Representations for Recommendation.
Teng-Yue Han
|
Pengfei Wang
|
Shaozhang Niu
|
Chenliang Li
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022
2021
doi
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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
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021
doi
dblp
The World is Binary: Contrastive Learning for Denoising Next Basket Recommendation.
Yuqi Qin
|
Pengfei Wang
|
Chenliang Li
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021
doi
dblp
Joint Knowledge Pruning and Recurrent Graph Convolution for News Recommendation.
Yu Tian
|
Yuhao Yang
|
Xudong Ren
|
Pengfei Wang
|
Fangzhao Wu
|
Qian Wang
|
Chenliang Li
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021
2020
doi
dblp
Leveraging Label Semantics and Correlations for Judgment Prediction.
Yu Fan
|
Lei Zhang
|
Pengfei Wang
Information Retrieval - 26th China Conference, CCIR 2020, Xi'an, China, August 14-16, 2020, Proceedings
doi
dblp
Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms.
Wayne Xin Zhao
|
Junhua Chen
|
Pengfei Wang
|
Qi Gu
|
Ji-Rong Wen
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020
doi
dblp
KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation.
Pengfei Wang
|
Yu Fan
|
Long Xia
|
Wayne Xin Zhao
|
Shaozhang Niu
|
Jimmy X. Huang
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020
2019
doi
dblp
Unified Collaborative Filtering over Graph Embeddings.
Pengfei Wang
|
Hanxiong Chen
|
Yadong Zhu
|
Huawei Shen
|
Yongfeng Zhang
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019.
doi
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Hierarchical Matching Network for Crime Classification.
Pengfei Wang
|
Yu Fan
|
Shuzi Niu
|
Ze Yang
|
Yongfeng Zhang
|
Jiafeng Guo
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019.
2018
doi
dblp
Modeling Dynamic Pairwise Attention for Crime Classification over Legal Articles.
Pengfei Wang
|
Ze Yang
|
Shuzi Niu
|
Yongfeng Zhang
|
Lei Zhang
|
Shaozhang Niu
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018
2016
doi
dblp
Factorizing Sequential and Historical Purchase Data for Basket Recommendation.
Pengfei Wang
|
Jiafeng Guo
|
Yanyan Lan
|
Jun Xu
|
Xueqi Cheng
Information Retrieval Technology - 12th Asia Information Retrieval Societies Conference, AIRS 2016, Beijing, China, November 30 - December 2, 2016, Proceedings
doi
dblp
Multi-task Representation Learning for Demographic Prediction.
Pengfei Wang
|
Jiafeng Guo
|
Yanyan Lan
|
Jun Xu
|
Xueqi Cheng
Advances in Information Retrieval - 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20-23, 2016. Proceedings
doi
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Your Cart tells You: Inferring Demographic Attributes from Purchase Data.
Pengfei Wang
|
Jiafeng Guo
|
Yanyan Lan
|
Jun Xu
|
Xueqi Cheng
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, San Francisco, CA, USA, February 22-25, 2016
doi
dblp
HLBPR: A Hybrid Local Bayesian Personal Ranking Method.
Xu Chen
|
Pengfei Wang
|
Zheng Qin
|
Yongfeng Zhang
Proceedings of the 25th International Conference on World Wide Web, WWW 2016, Montreal, Canada, April 11-15, 2016, Companion Volume
2015
doi
dblp
Learning Hierarchical Representation Model for NextBasket Recommendation.
Pengfei Wang
|
Jiafeng Guo
|
Yanyan Lan
|
Jun Xu
|
Shengxian Wan
|
Xueqi Cheng
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, Santiago, Chile, August 9-13, 2015
2014
doi
dblp
Modeling Retail Transaction Data for Personalized Shopping Recommendation.
Pengfei Wang
|
Jiafeng Guo
|
Yanyan Lan
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM 2014, Shanghai, China, November 3-7, 2014