Modeling Retail Transaction Data for Personalized Shopping Recommendation. - Pengfei Wang 009; Jiafeng Guo; Yanyan Lan (CIKM, 2014)

Next Basket Recommendation with Neural Networks. - Shengxian Wan; Yanyan Lan; Pengfei Wang 009; Jiafeng Guo; Jun Xu 001; Xueqi Cheng (RecSys Posters, 2015)

Learning Hierarchical Representation Model for NextBasket Recommendation. - Pengfei Wang 009; Jiafeng Guo; Yanyan Lan; Jun Xu 001; Shengxian Wan; Xueqi Cheng (SIGIR, 2015)

Factorizing Sequential and Historical Purchase Data for Basket Recommendation. - Pengfei Wang 009; Jiafeng Guo; Yanyan Lan; Jun Xu 001; Xueqi Cheng (AIRS, 2016)

Multi-task Representation Learning for Demographic Prediction. - Pengfei Wang 009; Jiafeng Guo; Yanyan Lan; Jun Xu 001; Xueqi Cheng (ECIR, 2016)

Your Cart tells You: Inferring Demographic Attributes from Purchase Data. - Pengfei Wang 009; Jiafeng Guo; Yanyan Lan; Jun Xu 001; Xueqi Cheng (WSDM, 2016)

HLBPR: A Hybrid Local Bayesian Personal Ranking Method. - Xu Chen 017; Pengfei Wang 009; Zheng Qin 003; Yongfeng Zhang (WWW (Companion Volume), 2016)

Modeling Dynamic Pairwise Attention for Crime Classification over Legal Articles. - Pengfei Wang 009; Ze Yang 005; Shuzi Niu; Yongfeng Zhang; Lei Zhang 049; Shaozhang Niu (SIGIR, 2018)

Learning over Knowledge-Base Embeddings for Recommendation. - Yongfeng Zhang; Qingyao Ai; Xu Chen 017; Pengfei Wang 009 (CoRR, 2018)

Dynamic Feature Generation Network for Answer Selection. - Longxuan Ma; Pengfei Wang 009; Lei Zhang 049 (CoRR, 2018)

Learning to Predict Charges for Judgment with Legal Graph. - Si Chen; Pengfei Wang 009; Wei Fang; Xingchen Deng; Feng Zhang (ICANN (4), 2019)

A Recurrent Attention Network for Judgment Prediction. - Ze Yang 005; Pengfei Wang 009; Lei Zhang 049; Linjun Shou; Wenwen Xu (ICANN (4), 2019)

Multi-graph Convolution Network with Jump Connection for Event Detection. - Xiangbin Meng; Pengfei Wang 009; Haoran Yan; Liutong Xu; Jiafeng Guo; Yixing Fan (ICTAI, 2019)

Fine-Grained Image Classification Combined with Label Description. - Xiruo Shi; Liutong Xu; Pengfei Wang 009 (ICTAI, 2019)

Hierarchical Multi-dimensional Attention Model for Answer Selection. - Wei Liu; Lei Zhang 049; Longxuan Ma; Pengfei Wang 009; Feng Zhang (IJCNN, 2019)

Unified Collaborative Filtering over Graph Embeddings. - Pengfei Wang 009; Hanxiong Chen; Yadong Zhu; Huawei Shen; Yongfeng Zhang (SIGIR, 2019)

Hierarchical Matching Network for Crime Classification. - Pengfei Wang 009; Yu Fan; Shuzi Niu; Ze Yang 005; Yongfeng Zhang; Jiafeng Guo (SIGIR, 2019)

Modeling Temporal Dynamics of Users' Purchase Behaviors for Next Basket Prediction. - Pengfei Wang 009; Yongfeng Zhang; Shuzi Niu; Jiafeng Guo (J. Comput. Sci. Technol., 2019)

Bidirectional Dependency-Guided Attention for Relation Extraction. - Xingchen Deng; Lei Zhang 049; Yixing Fan; Long Bai 002; Jiafeng Guo; Pengfei Wang 009 (ACML, 2020)

Leveraging Label Semantics and Correlations for Judgment Prediction. - Yu Fan; Lei Zhang 049; Pengfei Wang 009 (CCIR, 2020)

Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms. - Wayne Xin Zhao; Junhua Chen; Pengfei Wang 009; Qi Gu; Ji-Rong Wen (CIKM, 2020)

Beyond the Attention: Distinguish the Discriminative and Confusable Features For Fine-grained Image Classification. - Xiruo Shi; Liutong Xu; Pengfei Wang 009; Yuanyuan Gao; Haifang Jian; Wu Liu (ACM Multimedia, 2020)

KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation. - Pengfei Wang 009; Yu Fan; Long Xia; Wayne Xin Zhao; Shaozhang Niu; Jimmy X. Huang (SIGIR, 2020)

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 072; Changxin Tian; Yingqian Min; Zhichao Feng; et al. (CIKM, 2021)

Reinforcement Syntactic Dependency Tree Reasoning for Target-Oriented Opinion Word Extraction. - Yaqing Dai; Pengfei Wang 009; Lei Zhang 049 (ICANN (4), 2021)

Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation. - Xiaohai Tong; Pengfei Wang 009; Chenliang Li; Long Xia; Shaozhang Niu (IJCAI, 2021)

The World is Binary: Contrastive Learning for Denoising Next Basket Recommendation. - Yuqi Qin; Pengfei Wang 009; Chenliang Li (SIGIR, 2021)

Joint Knowledge Pruning and Recurrent Graph Convolution for News Recommendation. - Yu Tian; Yuhao Yang 002; Xudong Ren; Pengfei Wang 009; Fangzhao Wu; Qian Wang 002; Chenliang Li (SIGIR, 2021)

Multimodal-adaptive hierarchical network for multimedia sequential recommendation. - Teng-Yue Han; Shaozhang Niu; Pengfei Wang 009 (Pattern Recognit. Lett., 2021)

A Multi-Interest Evolution Story: Applying Psychology in Query-based Recommendation for Inferring Customer Intention. - Yuqi Qin; Pengfei Wang 009; Biyu Ma; Zhe Zhang (CIKM, 2022)

Multi-Round Extraction and Dynamic Role Selection Framework For Document-Level Event Extraction. - Kaizhou Zhang; Pengfei Wang 009; Lei Zhang 049 (MLNLP, 2022)

Multi-Agent RL-based Information Selection Model for Sequential Recommendation. - Kaiyuan Li; Pengfei Wang 009; Chenliang Li (SIGIR, 2022)

Modality Matches Modality: Pretraining Modality-Disentangled Item Representations for Recommendation. - Teng-Yue Han; Pengfei Wang 009; Shaozhang Niu; Chenliang Li (WWW, 2022)

Reasoning over multiplex heterogeneous graph for Target-oriented Opinion Words Extraction. - Yaqing Dai; Pengfei Wang 009; Xiaofei Zhu (Knowl. Based Syst., 2022)

Tutorial: Data Denoising Metrics in Recommender Systems. - Pengfei Wang 009; Chenliang Li; Lixin Zou; Zhichao Feng; Kaiyuan Li; Xiaochen Li; Xialong Liu; Shangguang Wang (CIKM, 2023)

Sharpness-Aware Gradient Matching for Domain Generalization. - Pengfei Wang 009; Zhaoxiang Zhang 001; Zhen Lei 001; Lei Zhang 006 (CVPR, 2023)

Communicative MARL-based Relevance Discerning Network for Repetition-Aware Recommendation. - Kaiyuan Li; Pengfei Wang 009; Haitao Wang; Qiang Liu; Xingxing Wang; Dong Wang 022; Shangguang Wang (WWW, 2023)

Reinforcement learning-based denoising network for sequential recommendation. - Xiaohai Tong; Pengfei Wang 009; Shaozhang Niu (Appl. Intell., 2023)

A Revisiting Study of Appropriate Offline Evaluation for Top-N Recommendation Algorithms. - Wayne Xin Zhao; Zihan Lin; Zhichao Feng; Pengfei Wang 009; Ji-Rong Wen (ACM Trans. Inf. Syst., 2023)

Dynamic global structure enhanced multi-channel graph neural network for session-based recommendation. - Xiaofei Zhu; Gu Tang; Pengfei Wang 009; Chenliang Li; Jiafeng Guo; Stefan Dietze (Inf. Sci., 2023)

Multimodal Interactive Network for Sequential Recommendation. - Teng-Yue Han; Pengfei Wang 009; Shaozhang Niu (J. Comput. Sci. Technol., 2023)

Configure Your Federation: Hierarchical Attention-enhanced Meta-Learning Network for Personalized Federated Learning. - Yujia Gao; Pengfei Wang 009; Liang Liu 001; Chi Zhang 019; Huadong Ma (ACM Trans. Intell. Syst. Technol., 2023)

Num2vec: Pre-Training Numeric Representations for Time Series Forecasting in the Sensing System. - Jinxiao Fan; Pengfei Wang 009; Yu Fan; Liang Liu 001; Huadong Ma (ACM Trans. Sens. Networks, 2023)

Contextual MAB Oriented Embedding Denoising for Sequential Recommendation. - Zhichao Feng; Pengfei Wang 009; Kaiyuan Li; Chenliang Li; Shangguang Wang (WSDM, 2024)

Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai. - Zhichao Feng; Junjie Xie; Kaiyuan Li; Yu Qin; Pengfei Wang 009; Qianzhong Li; Bin Yin; Xiang Li 067; Wei Lin 022; Shangguang Wang (WWW (Companion Volume), 2024)

HEC-GCN: Hypergraph Enhanced Cascading Graph Convolution Network for Multi-Behavior Recommendation. - Yabo Yin; Xiaofei Zhu; Wenshan Wang; Yihao Zhang; Pengfei Wang 009; Yixing Fan; Jiafeng Guo (CoRR, 2024)

Disentangle interest trend and diversity for sequential recommendation. - Zihao Li 005; Yunfan Xie; Wei Emma Zhang; Pengfei Wang 009; Lixin Zou; Fei Li; Xiangyang Luo; Chenliang Li (Inf. Process. Manag., 2024)

Towards Predicting Urban Land Use Changes: A Dynamic Graph Alignment Perspective. - Yu Fan; Xinjiang Lu; Hao Liu 026; Pengfei Wang 009; Liang Liu 001; Huadong Ma; Jingbo Zhou (ACM Trans. Intell. Syst. Technol., 2025)

Self-Optimizing Teacher and Auto-Matching Student Framework for Change-Point Representation Learning in Time Series Forecasting. - Jinxiao Fan; Pengfei Wang 009; Liang Liu 001; Huadong Ma (ACM Trans. Intell. Syst. Technol., 2025)