Publications

Zihao Li, Yunfan Xie, Wei Emma Zhang, Pengfei Wang, Lixin Zou, Fei Li, Xiangyang Luo, Chenliang Li (2024). Disentangle interest trend and diversity for sequential recommendation. Information Processing & Management.

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Pengfei Wang(Corresponding Author) (2024). Contextual MAB Oriented Embedding Denoising for Sequential Recommendation.. The 17th ACM International Conference on Web Search and Data Mining.

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Pengfei Wang(Corresponding Author) (2024). Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai.. WWW 2024 Industry Track.

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Jinxiao Fan, Pengfei Wang, Yu Fan, Liang Liu, Huadong Ma (2023). Num2vec: Pre-Training Numeric Representations for Time Series Forecasting in the Sensing System. ACM Transactions on Sensor Networks.

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Pengfei Wang, Chenliang Li, Lixin Zou, Zhichao Feng, Kaiyuan Li, Xiaochen Li, Xialong Liu, Shangguang Wang (2023). Tutorial: Data Denoising Metrics in Recommender Systems. Proceedings of the 32nd ACM International Conference on Information and Knowledge Management.

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Yujia Gao, Pengfei Wang, Liang Liu, Chi Zhang, Huadong Ma (2023). Configure Your Federation: Hierarchical Attention-enhanced Meta-Learning Network for Personalized Federated Learning. ACM Transactions on Intelligent Systems and Technology.

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Teng-Yue Han, Peng-Fei Wang, Shao-Zhang Niu (2023). Multimodal Interactive Network for Sequential Recommendation. Journal of Computer Science and Technology.

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Kaiyuan Li, Pengfei Wang, Haitao Wang, Qiang Liu, Xingxing Wang, Dong Wang, Shangguang Wang (2023). Communicative MARL-based Relevance Discerning Network for Repetition-Aware Recommendation. Proceedings of the ACM Web Conference 2023.

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Wayne Xin Zhao, Zihan Lin, Zhichao Feng, Pengfei Wang, Ji-Rong Wen (2023). A Revisiting Study of Appropriate Offline Evaluation for Top-N Recommendation Algorithms. ACM Transactions on Information Systems.

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Xiaohai Tong, Pengfei Wang, ShaoZhang Niu (2023). Reinforcement learning-based denoising network for sequential recommendation. Applied Intelligence.

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Xiaofei Zhu, Gu Tang, Pengfei Wang, Chenliang Li, Jiafeng Guo, Stefan Dietze (2023). Dynamic global structure enhanced multi-channel graph neural network for session-based recommendation. Information Sciences.

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Kaizhou Zhang, Pengfei Wang, Lei Zhang (2022). Multi-Round Extraction and Dynamic Role Selection Framework For Document-Level Event Extraction. Proceedings of the 2022 5th International Conference on Machine Learning and Natural Language Processing.

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Yuqi Qin, Pengfei Wang, Biyu Ma, Zhe Zhang (2022). A Multi-Interest Evolution Story: Applying Psychology in Query-based Recommendation for Inferring Customer Intention. Proceedings of the 31st ACM International Conference on Information & Knowledge Management.

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Kaiyuan Li, Pengfei Wang, Chenliang Li (2022). Multi-Agent RL-based Information Selection Model for Sequential Recommendation. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.

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Kaiyuan Li, Pengfei Wang, Chenliang Li (2022). Multi-Agent RL-based Information Selection Model for Sequential Recommendation. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.

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Tengyue Han, Pengfei Wang, ShaoZhang Niu, Chenliang Li (2022). Modality Matches Modality: Pretraining Modality-Disentangled Item Representations for Recommendation. Proceedings of the ACM Web Conference 2022.

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Yaqing Dai, Pengfei Wang, Xiaofei Zhu (2022). Reasoning over multiplex heterogeneous graph for Target-oriented Opinion Words Extraction. Knowledge-Based Systems.

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Zhichao Feng, Jiawei Lu, Junwei Cheng, Ke Hou, Kaiyuan Li, Pengfei Wang, Yadong Zhu (2022). KDD CUP 2022 MULTICLASS PRODUCT CLASSIFICATION: TEAM MetaSoul SOLUTION.

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Yuqi Qin, Pengfei Wang, Chenliang Li (2021). The World is Binary: Contrastive Learning for Denoising Next Basket Recommendation. Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval.

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Yu Tian, Yuhao Yang, Xudong Ren, Pengfei Wang, Fangzhao Wu, Qian Wang, Chenliang Li (2021). Joint Knowledge Pruning and Recurrent Graph Convolution for News Recommendation. Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval.

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Yaqing Dai, Pengfei Wang, Lei Zhang (2021). Reinforcement Syntactic Dependency Tree Reasoning for Target-Oriented Opinion Word Extraction. Artificial Neural Networks and Machine Learning – ICANN 2021.

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Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Yushuo Chen, Xingyu Pan, Kaiyuan Li, Yujie Lu, Hui Wang, Changxin Tian (2021). Recbole: Towards a unified, comprehensive and efficient framework for recommendation algorithms. proceedings of the 30th acm international conference on information & knowledge management.

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Xiaohai Tong, Pengfei Wang, Chenliang Li, Long Xia, ShaoZhang Niu (2021). Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation.. IJCAI.

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Tengyue Han, ShaoZhang Niu, Pengfei Wang (2021). Multimodal-adaptive hierarchical network for multimedia sequential recommendation. Pattern Recognition Letters.

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Kaiyuan Li, Xiang Long, Zhichao Feng, Mingdao Wang, Xiaofan Liu, Pengfei Wang, Quan Lin, Kun Zhao, Bole Ai (2021). KDD CUP 2021 MAG240M-LSC TEAM PASSAGES WINNER SOLUTION.

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Kaiyuan Li, Pengfei Wang, Long Xia (2021). A Session-aware DeepWalk Model for Session-based Recommendation. SIGIR Workshop On eCommerce.

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Wayne Xin Zhao, Junhua Chen, Pengfei Wang, Qi Gu, Ji-Rong Wen (2020). Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms. Proceedings of the 29th ACM International Conference on Information & Knowledge Management.

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Xiruo Shi, Liutong Xu, Pengfei Wang, Yuanyuan Gao, Haifang Jian, Wu Liu (2020). Beyond the Attention: Distinguish the Discriminative and Confusable Features For Fine-grained Image Classification. Proceedings of the 28th ACM International Conference on Multimedia.

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Pengfei Wang, Yu Fan, Long Xia, Wayne Xin Zhao, ShaoZhang Niu, Jimmy Huang (2020). KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation. Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval.

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Yu Fan, Lei Zhang, Pengfei Wang (2020). Relation-Enhanced Multi-Graph Attention Network for Recommendation. 2020 IEEE 11th International Conference on Software Engineering and Service Science (ICSESS).

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Yu Fan, Lei Zhang, Pengfei Wang (2020). Leveraging Label Semantics and Correlations for Judgment Prediction. Information Retrieval.

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Xingchen Deng, Lei Zhang, Yixing Fan, Long Bai, Jiafeng Guo, Pengfei Wang (2020). Bidirectional Dependency-Guided Attention for Relation Extraction. Asian Conference on Machine Learning.

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Pengfei Wang, Yongfeng Zhang, Shuzi Niu, Jiafeng Guo (2019). Modeling Temporal Dynamics of Users’ Purchase Behaviors for Next Basket Prediction. Journal of Computer Science and Technology.

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Pengfei Wang, Hanxiong Chen, Yadong Zhu, Huawei Shen, Yongfeng Zhang (2019). Unified Collaborative Filtering over Graph Embeddings. Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval.

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Pengfei Wang, Yu Fan, Shuzi Niu, Ze Yang, Yongfeng Zhang, Jiafeng Guo (2019). Hierarchical Matching Network for Crime Classification. Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval.

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Fan Zhu, Juan Yang, Pengfei Wang (2019). TMRM: Two-Stage Multi-Task Recommendation Model Boosted Feature Selection. 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI).

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Xiangbin Meng, Pengfei Wang, Haoran Yan, Liutong Xu, Jiafeng Guo, Yixing Fan (2019). Multi-graph convolution network with jump connection for event detection. 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI).

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Si Chen, Pengfei Wang, Wei Fang, Xingchen Deng, Feng Zhang (2019). Learning to Predict Charges for Judgment with Legal Graph. Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series.

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Wei Liu, Lei Zhang, Longxuan Ma, Pengfei Wang, Feng Zhang (2019). Hierarchical multi-dimensional attention model for answer selection. 2019 International Joint Conference on Neural Networks (IJCNN).

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Xiruo Shi, Liutong Xu, Pengfei Wang (2019). Fine-grained image classification combined with label description. 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI).

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Ze Yang, Pengfei Wang, Lei Zhang, Linjun Shou, Wenwen Xu (2019). A Recurrent Attention Network for Judgment Prediction. Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series.

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Pengfei Wang, Ze Yang, Shuzi Niu, Yongfeng Zhang, Lei Zhang, ShaoZhang Niu (2018). Modeling Dynamic Pairwise Attention for Crime Classification over Legal Articles. The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval.

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Xinjun Yang, Pengfei Wang, Wei Fang (2018). Team Formation with Relationship Strength Based on Meta Path in Heterogeneous Network. 2018 IEEE 9th International Conference on Software Engineering and Service Science (ICSESS).

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Senlin Cheng, Liutong Xu, Pengfei Wang (2018). Mir: Multi-Task Intra-Representation Learning for Face Classification. 2018 IEEE 9th International Conference on Software Engineering and Service Science (ICSESS).

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Yongfeng Zhang, Qingyao Ai, Xu Chen, Pengfei Wang (2018). Learning over knowledge-base embeddings for recommendation. arXiv preprint arXiv:1803.06540.

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Pengfei Wang, Jiansheng Chen, ShaoZhang Niu (2018). CFSH: Factorizing sequential and historical purchase data for basket recommendation. Plos one.

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Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng (2016). Your Cart tells You: Inferring Demographic Attributes from Purchase Data. Proceedings of the Ninth ACM International Conference on Web Search and Data Mining.

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Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng (2016). Multi-task Representation Learning for Demographic Prediction. Advances in Information Retrieval.

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Wenjuan Cui, Pengfei Wang, Xin Chen, Yi Du, Danhuai Guo, Yuanchun Zhou, Jianhui Li (2016). How to Use the Social Media Data in Assisting Restaurant Recommendation. Database Systems for Advanced Applications.

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Xu Chen, Pengfei Wang, Zheng Qin, Yongfeng Zhang (2016). HLBPR: A Hybrid Local Bayesian Personal Ranking Method. Proceedings of the 25th International Conference Companion on World Wide Web - WWW ‘16 Companion.

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Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng (2016). Factorizing Sequential and Historical Purchase Data for Basket Recommendation. Information Retrieval Technology.

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Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Shengxian Wan, Xueqi Cheng (2015). Learning Hierarchical Representation Model for NextBasket Recommendation. Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval.

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Shengxian Wan, Yanyan Lan, Pengfei Wang, Jiafeng Guo, Jun Xu, Xueqi Cheng (2015). Next Basket Recommendation with Neural Networks.. RecSys Posters.

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Pengfei Wang, Jiafeng Guo, Yanyan Lan (2014). Modeling Retail Transaction Data for Personalized Shopping Recommendation. Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management.

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