Pengfei Wang - RankMe

54 papers A* 13A 8B 3C 1Journal 20Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CMC-GCN: Consistent multi-granularity cascading graph convolution network for multi-behavior recommendation. Neurocomputing Yabo Yin, Xiaofei Zhu, Kunyang Huang, Wenshan Wang, Yihao Zhang, Pengfei Wang, Yixing Fan, Jiafeng Guo
2025	J	`jnl`	Self-Optimizing Teacher and Auto-Matching Student Framework for Change-Point Representation Learning in Time Series Forecasting. ACM Trans. Intell. Syst. Technol. Jinxiao Fan, Pengfei Wang, Liang Liu, Huadong Ma
2025	J	`jnl`	Towards Predicting Urban Land Use Changes: A Dynamic Graph Alignment Perspective. ACM Trans. Intell. Syst. Technol. Yu Fan, Xinjiang Lu, Hao Liu, Pengfei Wang, Liang Liu, Huadong Ma, Jingbo Zhou
2024	—	`conf`	Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai. WWW (Companion Volume) Zhichao Feng, Junjie Xie, Kaiyuan Li, Yu Qin, Pengfei Wang, Qianzhong Li, Bin Yin, Xiang Li, Wei Lin, Shangguang Wang
2024	J	`jnl`	Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai. CoRR Zhichao Feng, Junjie Xie, Kaiyuan Li, Yu Qin, Pengfei Wang, Qianzhong Li, Bin Yin, Xiang Li, Wei Lin, Shangguang Wang
2024	A	`conf`	Contextual MAB Oriented Embedding Denoising for Sequential Recommendation. WSDM Zhichao Feng, Pengfei Wang, Kaiyuan Li, Chenliang Li, Shangguang Wang
2024	J	`jnl`	Disentangle interest trend and diversity for sequential recommendation. Inf. Process. Manag. Zihao Li, Yunfan Xie, Wei Emma Zhang, Pengfei Wang, Lixin Zou, Fei Li, Xiangyang Luo, Chenliang Li
2024	J	`jnl`	HEC-GCN: Hypergraph Enhanced Cascading Graph Convolution Network for Multi-Behavior Recommendation. CoRR Yabo Yin, Xiaofei Zhu, Wenshan Wang, Yihao Zhang, Pengfei Wang, Yixing Fan, Jiafeng Guo
2023	J	`jnl`	A Revisiting Study of Appropriate Offline Evaluation for Top- ACM Trans. Inf. Syst. Wayne Xin Zhao, Zihan Lin, Zhichao Feng, Pengfei Wang, Ji-Rong Wen
2023	A*	`conf`	Communicative MARL-based Relevance Discerning Network for Repetition-Aware Recommendation. WWW Kaiyuan Li, Pengfei Wang, Haitao Wang, Qiang Liu, Xingxing Wang, Dong Wang, Shangguang Wang
2023	J	`jnl`	Configure Your Federation: Hierarchical Attention-enhanced Meta-Learning Network for Personalized Federated Learning. ACM Trans. Intell. Syst. Technol. Yujia Gao, Pengfei Wang, Liang Liu, Chi Zhang, Huadong Ma
2023	J	`jnl`	Dynamic global structure enhanced multi-channel graph neural network for session-based recommendation. Inf. Sci. Xiaofei Zhu, Gu Tang, Pengfei Wang, Chenliang Li, Jiafeng Guo, Stefan Dietze
2023	J	`jnl`	Multimodal Interactive Network for Sequential Recommendation. J. Comput. Sci. Technol. Teng-Yue Han, Pengfei Wang, Shaozhang Niu
2023	J	`jnl`	Num2vec: Pre-Training Numeric Representations for Time Series Forecasting in the Sensing System. ACM Trans. Sens. Networks Jinxiao Fan, Pengfei Wang, Yu Fan, Liang Liu, Huadong Ma
2023	J	`jnl`	Reinforcement learning-based denoising network for sequential recommendation. Appl. Intell. Xiaohai Tong, Pengfei Wang, Shaozhang Niu
2023	A*	`conf`	Sharpness-Aware Gradient Matching for Domain Generalization. CVPR Pengfei Wang, Zhaoxiang Zhang, Zhen Lei, Lei Zhang
2023	J	`jnl`	Sharpness-Aware Gradient Matching for Domain Generalization. CoRR Pengfei Wang, Zhaoxiang Zhang, Zhen Lei, Lei Zhang
2023	A	`conf`	Tutorial: Data Denoising Metrics in Recommender Systems. CIKM Pengfei Wang, Chenliang Li, Lixin Zou, Zhichao Feng, Kaiyuan Li, Xiaochen Li, Xialong Liu, Shangguang Wang
2022	A	`conf`	A Multi-Interest Evolution Story: Applying Psychology in Query-based Recommendation for Inferring Customer Intention. CIKM Yuqi Qin, Pengfei Wang, Biyu Ma, Zhe Zhang
2022	A*	`conf`	Modality Matches Modality: Pretraining Modality-Disentangled Item Representations for Recommendation. WWW Teng-Yue Han, Pengfei Wang, Shaozhang Niu, Chenliang Li
2022	A*	`conf`	Multi-Agent RL-based Information Selection Model for Sequential Recommendation. SIGIR Kaiyuan Li, Pengfei Wang, Chenliang Li
2022	—	`conf`	Multi-Round Extraction and Dynamic Role Selection Framework For Document-Level Event Extraction. MLNLP Kaizhou Zhang, Pengfei Wang, Lei Zhang
2022	J	`jnl`	Reasoning over multiplex heterogeneous graph for Target-oriented Opinion Words Extraction. Knowl. Based Syst. Yaqing Dai, Pengfei Wang, Xiaofei Zhu
2021	A*	`conf`	Joint Knowledge Pruning and Recurrent Graph Convolution for News Recommendation. SIGIR Yu Tian, Yuhao Yang, Xudong Ren, Pengfei Wang, Fangzhao Wu, Qian Wang, Chenliang Li
2021	J	`jnl`	Multimodal-adaptive hierarchical network for multimedia sequential recommendation. Pattern Recognit. Lett. Teng-Yue Han, Shaozhang Niu, Pengfei Wang
2021	A*	`conf`	Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation. IJCAI Xiaohai Tong, Pengfei Wang, Chenliang Li, Long Xia, Shaozhang Niu
2021	A	`conf`	RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. CIKM 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
2021	—	`conf`	Reinforcement Syntactic Dependency Tree Reasoning for Target-Oriented Opinion Word Extraction. ICANN (4) Yaqing Dai, Pengfei Wang, Lei Zhang
2021	A*	`conf`	The World is Binary: Contrastive Learning for Denoising Next Basket Recommendation. SIGIR Yuqi Qin, Pengfei Wang, Chenliang Li
2020	A*	`conf`	Beyond the Attention: Distinguish the Discriminative and Confusable Features For Fine-grained Image Classification. ACM Multimedia Xiruo Shi, Liutong Xu, Pengfei Wang, Yuanyuan Gao, Haifang Jian, Wu Liu
2020	C	`conf`	Bidirectional Dependency-Guided Attention for Relation Extraction. ACML Xingchen Deng, Lei Zhang, Yixing Fan, Long Bai, Jiafeng Guo, Pengfei Wang
2020	A*	`conf`	KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation. SIGIR Pengfei Wang, Yu Fan, Long Xia, Wayne Xin Zhao, Shaozhang Niu, Jimmy X. Huang
2020	—	`conf`	Leveraging Label Semantics and Correlations for Judgment Prediction. CCIR Yu Fan, Lei Zhang, Pengfei Wang
2020	J	`jnl`	RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. CoRR 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
2020	A	`conf`	Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms. CIKM Wayne Xin Zhao, Junhua Chen, Pengfei Wang, Qi Gu, Ji-Rong Wen
2020	J	`jnl`	Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms. CoRR Wayne Xin Zhao, Junhua Chen, Pengfei Wang, Qi Gu, Ji-Rong Wen
2019	—	`conf`	A Recurrent Attention Network for Judgment Prediction. ICANN (4) Ze Yang, Pengfei Wang, Lei Zhang, Linjun Shou, Wenwen Xu
2019	B	`conf`	Fine-Grained Image Classification Combined with Label Description. ICTAI Xiruo Shi, Liutong Xu, Pengfei Wang
2019	A*	`conf`	Hierarchical Matching Network for Crime Classification. SIGIR Pengfei Wang, Yu Fan, Shuzi Niu, Ze Yang, Yongfeng Zhang, Jiafeng Guo
2019	B	`conf`	Hierarchical Multi-dimensional Attention Model for Answer Selection. IJCNN Wei Liu, Lei Zhang, Longxuan Ma, Pengfei Wang, Feng Zhang
2019	—	`conf`	Learning to Predict Charges for Judgment with Legal Graph. ICANN (4) Si Chen, Pengfei Wang, Wei Fang, Xingchen Deng, Feng Zhang
2019	J	`jnl`	Modeling Temporal Dynamics of Users' Purchase Behaviors for Next Basket Prediction. J. Comput. Sci. Technol. Pengfei Wang, Yongfeng Zhang, Shuzi Niu, Jiafeng Guo
2019	B	`conf`	Multi-graph Convolution Network with Jump Connection for Event Detection. ICTAI Xiangbin Meng, Pengfei Wang, Haoran Yan, Liutong Xu, Jiafeng Guo, Yixing Fan
2019	A*	`conf`	Unified Collaborative Filtering over Graph Embeddings. SIGIR Pengfei Wang, Hanxiong Chen, Yadong Zhu, Huawei Shen, Yongfeng Zhang
2018	J	`jnl`	Dynamic Feature Generation Network for Answer Selection. CoRR Longxuan Ma, Pengfei Wang, Lei Zhang
2018	J	`jnl`	Learning over Knowledge-Base Embeddings for Recommendation. CoRR Yongfeng Zhang, Qingyao Ai, Xu Chen, Pengfei Wang
2018	A*	`conf`	Modeling Dynamic Pairwise Attention for Crime Classification over Legal Articles. SIGIR Pengfei Wang, Ze Yang, Shuzi Niu, Yongfeng Zhang, Lei Zhang, Shaozhang Niu
2016	—	`conf`	Factorizing Sequential and Historical Purchase Data for Basket Recommendation. AIRS Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
2016	—	`conf`	HLBPR: A Hybrid Local Bayesian Personal Ranking Method. WWW (Companion Volume) Xu Chen, Pengfei Wang, Zheng Qin, Yongfeng Zhang
2016	A	`conf`	Multi-task Representation Learning for Demographic Prediction. ECIR Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
2016	A	`conf`	Your Cart tells You: Inferring Demographic Attributes from Purchase Data. WSDM Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
2015	A*	`conf`	Learning Hierarchical Representation Model for NextBasket Recommendation. SIGIR Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Shengxian Wan, Xueqi Cheng
2015	—	`conf`	Next Basket Recommendation with Neural Networks. RecSys Posters Shengxian Wan, Yanyan Lan, Pengfei Wang, Jiafeng Guo, Jun Xu, Xueqi Cheng
2014	A	`conf`	Modeling Retail Transaction Data for Personalized Shopping Recommendation. CIKM Pengfei Wang, Jiafeng Guo, Yanyan Lan