Pengfei Wang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 32

Top Topics

Contextual Bandit

Reinforcement Learning

Event Extraction

Top Venues

J. Comput. Sci. Technol.

Publications

Zhichao Feng, Pengfei Wang, Kaiyuan Li, Chenliang Li, Shangguang Wang
Contextual MAB Oriented Embedding Denoising for Sequential Recommendation. WSDM (2024)
Zhichao Feng, Junjie Xie, Kaiyuan Li, Yu Qin, Pengfei Wang, Qianzhong Li, Bin Yin, Xiang Li, Wei Lin, Shangguang Wang
Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai. CoRR (2024)
Zihao Li, Yunfan Xie, Wei Emma Zhang, Pengfei Wang, Lixin Zou, Fei Li, Xiangyang Luo, Chenliang Li
Disentangle interest trend and diversity for sequential recommendation. Inf. Process. Manag. 61 (2) (2024)
Zhichao Feng, Junjie Xie, Kaiyuan Li, Yu Qin, Pengfei Wang, Qianzhong Li, Bin Yin, Xiang Li, Wei Lin, Shangguang Wang
Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai. WWW (Companion Volume) (2024)
Yujia Gao, Pengfei Wang, Liang Liu, Chi Zhang, Huadong Ma
Configure Your Federation: Hierarchical Attention-enhanced Meta-Learning Network for Personalized Federated Learning. ACM Trans. Intell. Syst. Technol. 14 (4) (2023)
Xiaohai Tong, Pengfei Wang, Shaozhang Niu
Reinforcement learning-based denoising network for sequential recommendation. Appl. Intell. 53 (2) (2023)
Xiaofei Zhu, Gu Tang, Pengfei Wang, Chenliang Li, Jiafeng Guo, Stefan Dietze
Dynamic global structure enhanced multi-channel graph neural network for session-based recommendation. Inf. Sci. 624 (2023)
Wayne Xin Zhao, Zihan Lin, Zhichao Feng, Pengfei Wang, Ji-Rong Wen
Recommendation Algorithms. ACM Trans. Inf. Syst. 41 (2) (2023)
Pengfei Wang, Zhaoxiang Zhang, Zhen Lei, Lei Zhang
Sharpness-Aware Gradient Matching for Domain Generalization. CoRR (2023)
Jinxiao Fan, Pengfei Wang, Yu Fan, Liang Liu, Huadong Ma
Num2vec: Pre-Training Numeric Representations for Time Series Forecasting in the Sensing System. ACM Trans. Sens. Networks 19 (4) (2023)
Pengfei Wang, Chenliang Li, Lixin Zou, Zhichao Feng, Kaiyuan Li, Xiaochen Li, Xialong Liu, Shangguang Wang
Tutorial: Data Denoising Metrics in Recommender Systems. CIKM (2023)
Teng-Yue Han, Pengfei Wang, Shaozhang Niu
Multimodal Interactive Network for Sequential Recommendation. J. Comput. Sci. Technol. 38 (4) (2023)
Teng-Yue Han, Pengfei Wang, Shaozhang Niu, Chenliang Li
Modality Matches Modality: Pretraining Modality-Disentangled Item Representations for Recommendation. WWW (2022)
Yuqi Qin, Pengfei Wang, Biyu Ma, Zhe Zhang
A Multi-Interest Evolution Story: Applying Psychology in Query-based Recommendation for Inferring Customer Intention. CIKM (2022)
Kaizhou Zhang, Pengfei Wang, Lei Zhang
Multi-Round Extraction and Dynamic Role Selection Framework For Document-Level Event Extraction. MLNLP (2022)
Kaiyuan Li, Pengfei Wang, Chenliang Li
Multi-Agent RL-based Information Selection Model for Sequential Recommendation. SIGIR (2022)
Teng-Yue Han, Shaozhang Niu, Pengfei Wang
Multimodal-adaptive hierarchical network for multimedia sequential recommendation. Pattern Recognit. Lett. 152 (2021)
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
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. CIKM (2021)
Xiaohai Tong, Pengfei Wang, Chenliang Li, Long Xia, Shaozhang Niu
Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation. IJCAI (2021)
Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Kaiyuan Li, Yushuo Chen, Yujie Lu, Hui Wang, Changxin Tian, Xingyu Pan, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. CoRR (2020)
Pengfei Wang, Yu Fan, Long Xia, Wayne Xin Zhao, Shaozhang Niu, Jimmy Huang
KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation. SIGIR (2020)
Xingchen Deng, Lei Zhang, Yixing Fan, Long Bai, Jiafeng Guo, Pengfei Wang
Bidirectional Dependency-Guided Attention for Relation Extraction. ACML (2020)
Pengfei Wang, Yu Fan, Shuzi Niu, Ze Yang, Yongfeng Zhang, Jiafeng Guo
Hierarchical Matching Network for Crime Classification. SIGIR (2019)
Si Chen, Pengfei Wang, Wei Fang, Xingchen Deng, Feng Zhang
Learning to Predict Charges for Judgment with Legal Graph. ICANN (4) (2019)
Xiangbin Meng, Pengfei Wang, Haoran Yan, Liutong Xu, Jiafeng Guo, Yixing Fan
Multi-graph Convolution Network with Jump Connection for Event Detection. ICTAI (2019)
Pengfei Wang, Yongfeng Zhang, Shuzi Niu, Jiafeng Guo
Modeling Temporal Dynamics of Users' Purchase Behaviors for Next Basket Prediction. J. Comput. Sci. Technol. 34 (6) (2019)
Yongfeng Zhang, Qingyao Ai, Xu Chen, Pengfei Wang
Learning over Knowledge-Base Embeddings for Recommendation. CoRR (2018)
Pengfei Wang, Ze Yang, Shuzi Niu, Yongfeng Zhang, Lei Zhang, Shaozhang Niu
Modeling Dynamic Pairwise Attention for Crime Classification over Legal Articles. SIGIR (2018)
Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
Multi-task Representation Learning for Demographic Prediction. ECIR (2016)
Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
Your Cart tells You: Inferring Demographic Attributes from Purchase Data. WSDM (2016)
Xu Chen, Pengfei Wang, Zheng Qin, Yongfeng Zhang
HLBPR: A Hybrid Local Bayesian Personal Ranking Method. WWW (Companion Volume) (2016)
Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
Factorizing Sequential and Historical Purchase Data for Basket Recommendation. AIRS (2016)
Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Shengxian Wan, Xueqi Cheng
Learning Hierarchical Representation Model for NextBasket Recommendation. SIGIR (2015)
Shengxian Wan, Yanyan Lan, Pengfei Wang, Jiafeng Guo, Jun Xu, Xueqi Cheng
Next Basket Recommendation with Neural Networks. RecSys Posters (2015)
Pengfei Wang, Jiafeng Guo, Yanyan Lan
Modeling Retail Transaction Data for Personalized Shopping Recommendation. CIKM (2014)