Pengfei Wang

According to our database, Pengfei Wang authored at least 43 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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, 2024

2023

Num2vec: Pre-Training Numeric Representations for Time Series Forecasting in the Sensing System.

Jinxiao Fan, Pengfei Wang, Yu Fan, Liang Liu, Huadong Ma

ACM Trans. Sens. Networks, November, 2023

Configure Your Federation: Hierarchical Attention-enhanced Meta-Learning Network for Personalized Federated Learning.

Yujia Gao, Pengfei Wang, Liang Liu, Chi Zhang, Huadong Ma

ACM Trans. Intell. Syst. Technol., August, 2023

Multimodal Interactive Network for Sequential Recommendation.

Teng-Yue Han, Pengfei Wang, Shaozhang Niu

J. Comput. Sci. Technol., July, 2023

Dynamic global structure enhanced multi-channel graph neural network for session-based recommendation.

Xiaofei Zhu, Gu Tang, Pengfei Wang, Chenliang Li, Jiafeng Guo, Stefan Dietze

Inf. Sci., May, 2023

A Revisiting Study of Appropriate Offline Evaluation for Top-<i>N</i> Recommendation Algorithms.

Wayne Xin Zhao, Zihan Lin, Zhichao Feng, Pengfei Wang, Ji-Rong Wen

ACM Trans. Inf. Syst., April, 2023

Reinforcement learning-based denoising network for sequential recommendation.

Xiaohai Tong, Pengfei Wang, Shaozhang Niu

Appl. Intell., 2023

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, 2023

Sharpness-Aware Gradient Matching for Domain Generalization.

Pengfei Wang, Zhaoxiang Zhang, Zhen Lei, Lei Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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, 2023

2022

Reasoning over multiplex heterogeneous graph for Target-oriented Opinion Words Extraction.

Yaqing Dai, Pengfei Wang, Xiaofei Zhu

Knowl. Based Syst., 2022

Modality Matches Modality: Pretraining Modality-Disentangled Item Representations for Recommendation.

Teng-Yue Han, Pengfei Wang, Shaozhang Niu, Chenliang Li

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Multi-Agent RL-based Information Selection Model for Sequential Recommendation.

Kaiyuan Li, Pengfei Wang, Chenliang Li

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Multi-Round Extraction and Dynamic Role Selection Framework For Document-Level Event Extraction.

Kaizhou Zhang, Pengfei Wang, Lei Zhang

Proceedings of the 5th International Conference on Machine Learning and Natural Language Processing, 2022

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, 2022

2021

Multimodal-adaptive hierarchical network for multimedia sequential recommendation.

Teng-Yue Han, Shaozhang Niu, Pengfei Wang

Pattern Recognit. Lett., 2021

Joint Knowledge Pruning and Recurrent Graph Convolution for News Recommendation.

Yu Tian, Yuhao Yang, Xudong Ren, Pengfei Wang, Fangzhao Wu, Qian Wang, Chenliang Li

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

The World is Binary: Contrastive Learning for Denoising Next Basket Recommendation.

Yuqi Qin, Pengfei Wang, Chenliang Li

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation.

Xiaohai Tong, Pengfei Wang, Chenliang Li, Long Xia, Shaozhang Niu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Reinforcement Syntactic Dependency Tree Reasoning for Target-Oriented Opinion Word Extraction.

Yaqing Dai, Pengfei Wang, Lei Zhang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

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

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

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, 2020

Beyond the Attention: Distinguish the Discriminative and Confusable Features For Fine-grained Image Classification.

Xiruo Shi, Liutong Xu, Pengfei Wang, Yuanyuan Gao, Haifang Jian, Wu Liu

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms.

Wayne Xin Zhao, Junhua Chen, Pengfei Wang, Qi Gu, Ji-Rong Wen

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Leveraging Label Semantics and Correlations for Judgment Prediction.

Yu Fan, Lei Zhang, Pengfei Wang

Proceedings of the Information Retrieval - 26th China Conference, 2020

Bidirectional Dependency-Guided Attention for Relation Extraction.

Xingchen Deng, Lei Zhang, Yixing Fan, Long Bai, Jiafeng Guo, Pengfei Wang

Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019

Modeling Temporal Dynamics of Users' Purchase Behaviors for Next Basket Prediction.

Pengfei Wang, Yongfeng Zhang, Shuzi Niu, Jiafeng Guo

J. Comput. Sci. Technol., 2019

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, 2019

Hierarchical Multi-dimensional Attention Model for Answer Selection.

Wei Liu, Lei Zhang, Longxuan Ma, Pengfei Wang, Feng Zhang

Proceedings of the International Joint Conference on Neural Networks, 2019

Fine-Grained Image Classification Combined with Label Description.

Xiruo Shi, Liutong Xu, Pengfei Wang

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Multi-graph Convolution Network with Jump Connection for Event Detection.

Xiangbin Meng, Pengfei Wang, Haoran Yan, Liutong Xu, Jiafeng Guo, Yixing Fan

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

A Recurrent Attention Network for Judgment Prediction.

Ze Yang, Pengfei Wang, Lei Zhang, Linjun Shou, Wenwen Xu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

Learning to Predict Charges for Judgment with Legal Graph.

Si Chen, Pengfei Wang, Wei Fang, Xingchen Deng, Feng Zhang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

2018

Dynamic Feature Generation Network for Answer Selection.

Longxuan Ma, Pengfei Wang, Lei Zhang

CoRR, 2018

Learning over Knowledge-Base Embeddings for Recommendation.

Yongfeng Zhang, Qingyao Ai, Xu Chen, Pengfei Wang

CoRR, 2018

Modeling Dynamic Pairwise Attention for Crime Classification over Legal Articles.

Pengfei Wang, Ze Yang, Shuzi Niu, Yongfeng Zhang, Lei Zhang, Shaozhang Niu

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

2016

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, 2016

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, 2016

Multi-task Representation Learning for Demographic Prediction.

Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng

Proceedings of the Advances in Information Retrieval, 2016

Factorizing Sequential and Historical Purchase Data for Basket Recommendation.

Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng

Proceedings of the Information Retrieval Technology, 2016

2015

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, 2015

Next Basket Recommendation with Neural Networks.

Shengxian Wan, Yanyan Lan, Pengfei Wang, Jiafeng Guo, Jun Xu, Xueqi Cheng

Proceedings of the Poster Proceedings of the 9th ACM Conference on Recommender Systems, 2015

2014

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, 2014