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ORCIDPengfei Wang 0009
Person information
- affiliation: Beijing University of Posts and Telecommunications, China
Other persons with the same name
- Pengfei Wang (aka: Peng-fei Wang, Peng-Fei Wang) — disambiguation page
- Pengfei Wang 0001
![[0000-0003-2610-0993]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-2610-0993")
— Harbin Institute of Technology, State Key Laboratory of Robotics and System, China - Pengfei Wang 0002 — Hong Kong University of Science and Technology, Department of Economics, Hong Kong (and 1 more)
- Pengfei Wang 0003 — Hefei University of Technology, School of Electronic Science and Applied Physics, China
- Pengfei Wang 0004 — Harbin Institute of Technology, China
- Pengfei Wang 0005 — Peking University, School of Electronics Engineering and Computer Science, Beijing, China
- Pengfei Wang 0006 — Harbin Engineering University, College of Science, China (and 1 more)
- Pengfei Wang 0007 — Harbin Institute of Technology, Department of Mathematics, Weihai, China
- Pengfei Wang 0008 — Alibaba Group, DAMO Academy, Hangzhou, China (and 2 more)
- Pengfei Wang 0010 (aka: Peng-Fei Wang 0010) — National University of Defense Technology, School of Computer Science, Changsha, China
- Pengfei Wang 0011 — Nanyang Technological University, Singapore (and 2 more)
- Pengfei Wang 0012 — Hong Kong Polytechnic University, Hung Hom, Hong Kong
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2020 – today
- 2024
[j10]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): 103619 (2024)- [c34]Zhichao Feng, Pengfei Wang, Kaiyuan Li, Chenliang Li, Shangguang Wang:
Contextual MAB Oriented Embedding Denoising for Sequential Recommendation. WSDM 2024: 199-207 - [c33]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: 355-363 - [i7]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 abs/2403.12566 (2024) - [i6]Yabo Yin, Xiaofei Zhu, Wenshan Wang, Yihao Zhang, Pengfei Wang, Yixing Fan, Jiafeng Guo:
HEC-GCN: Hypergraph Enhanced Cascading Graph Convolution Network for Multi-Behavior Recommendation. CoRR abs/2412.14476 (2024) - 2023
- [j9]Xiaohai Tong, Pengfei Wang, Shaozhang Niu:
Reinforcement learning-based denoising network for sequential recommendation. Appl. Intell. 53(2): 1324-1335 (2023) - [j8]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: 324-343 (2023) - [j7]Teng-Yue Han, Pengfei Wang, Shaozhang Niu:
Multimodal Interactive Network for Sequential Recommendation. J. Comput. Sci. Technol. 38(4): 911-926 (2023) - [j6]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): 63:1-63:24 (2023) - [j5]Wayne Xin Zhao, Zihan Lin, Zhichao Feng, Pengfei Wang, Ji-Rong Wen:
A Revisiting Study of Appropriate Offline Evaluation for Top-N Recommendation Algorithms. ACM Trans. Inf. Syst. 41(2): 32:1-32:41 (2023) - [j4]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): 94:1-94:23 (2023) - [c32]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: 5224-5227 - [c31]Pengfei Wang, Zhaoxiang Zhang, Zhen Lei, Lei Zhang:
Sharpness-Aware Gradient Matching for Domain Generalization. CVPR 2023: 3769-3778 - [c30]Kaiyuan Li, Pengfei Wang, Haitao Wang, Qiang Liu, Xingxing Wang, Dong Wang, Shangguang Wang:
Communicative MARL-based Relevance Discerning Network for Repetition-Aware Recommendation. WWW 2023: 1231-1239 - [i5]Pengfei Wang, Zhaoxiang Zhang, Zhen Lei, Lei Zhang:
Sharpness-Aware Gradient Matching for Domain Generalization. CoRR abs/2303.10353 (2023) - 2022
- [j3]Yaqing Dai, Pengfei Wang, Xiaofei Zhu:
Reasoning over multiplex heterogeneous graph for Target-oriented Opinion Words Extraction. Knowl. Based Syst. 236: 107723 (2022) - [c29]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: 1655-1665 - [c28]Kaizhou Zhang, Pengfei Wang, Lei Zhang:
Multi-Round Extraction and Dynamic Role Selection Framework For Document-Level Event Extraction. MLNLP 2022: 130-134 - [c27]Kaiyuan Li, Pengfei Wang, Chenliang Li:
Multi-Agent RL-based Information Selection Model for Sequential Recommendation. SIGIR 2022: 1622-1631 - [c26]Teng-Yue Han, Pengfei Wang, Shaozhang Niu, Chenliang Li:
Modality Matches Modality: Pretraining Modality-Disentangled Item Representations for Recommendation. WWW 2022: 2058-2066 - 2021
- [j2]Teng-Yue Han, Shaozhang Niu, Pengfei Wang:
Multimodal-adaptive hierarchical network for multimedia sequential recommendation. Pattern Recognit. Lett. 152: 10-17 (2021) - [c25]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: 4653-4664 - [c24]Yaqing Dai, Pengfei Wang, Lei Zhang:
Reinforcement Syntactic Dependency Tree Reasoning for Target-Oriented Opinion Word Extraction. ICANN (4) 2021: 531-543 - [c23]Xiaohai Tong, Pengfei Wang, Chenliang Li, Long Xia, Shaozhang Niu:
Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation. IJCAI 2021: 1593-1599 - [c22]Yu Tian, Yuhao Yang, Xudong Ren, Pengfei Wang, Fangzhao Wu, Qian Wang, Chenliang Li:
Joint Knowledge Pruning and Recurrent Graph Convolution for News Recommendation. SIGIR 2021: 51-60 - [c21]Yuqi Qin, Pengfei Wang, Chenliang Li:
The World is Binary: Contrastive Learning for Denoising Next Basket Recommendation. SIGIR 2021: 859-868 - 2020
- [c20]Xingchen Deng, Lei Zhang, Yixing Fan, Long Bai, Jiafeng Guo, Pengfei Wang:
Bidirectional Dependency-Guided Attention for Relation Extraction. ACML 2020: 129-144 - [c19]Yu Fan, Lei Zhang, Pengfei Wang:
Leveraging Label Semantics and Correlations for Judgment Prediction. CCIR 2020: 70-82 - [c18]Wayne Xin Zhao, Junhua Chen, Pengfei Wang, Qi Gu, Ji-Rong Wen:
Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms. CIKM 2020: 2329-2332 - [c17]Xiruo Shi, Liutong Xu, Pengfei Wang, Yuanyuan Gao, Haifang Jian, Wu Liu:
Beyond the Attention: Distinguish the Discriminative and Confusable Features For Fine-grained Image Classification. ACM Multimedia 2020: 601-609 - [c16]Pengfei Wang, Yu Fan, Long Xia, Wayne Xin Zhao, Shaozhang Niu, Jimmy X. Huang:
KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation. SIGIR 2020: 209-218 - [i4]Wayne Xin Zhao, Junhua Chen, Pengfei Wang, Qi Gu, Ji-Rong Wen:
Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms. CoRR abs/2010.04484 (2020) - [i3]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 abs/2011.01731 (2020)
2010 – 2019
- 2019
- [j1]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): 1230-1240 (2019) - [c15]Si Chen, Pengfei Wang, Wei Fang, Xingchen Deng, Feng Zhang:
Learning to Predict Charges for Judgment with Legal Graph. ICANN (4) 2019: 240-252 - [c14]Ze Yang, Pengfei Wang, Lei Zhang, Linjun Shou, Wenwen Xu:
A Recurrent Attention Network for Judgment Prediction. ICANN (4) 2019: 253-266 - [c13]Xiangbin Meng, Pengfei Wang, Haoran Yan, Liutong Xu, Jiafeng Guo, Yixing Fan:
Multi-graph Convolution Network with Jump Connection for Event Detection. ICTAI 2019: 744-751 - [c12]Xiruo Shi, Liutong Xu, Pengfei Wang:
Fine-Grained Image Classification Combined with Label Description. ICTAI 2019: 1057-1064 - [c11]Wei Liu, Lei Zhang, Longxuan Ma, Pengfei Wang, Feng Zhang:
Hierarchical Multi-dimensional Attention Model for Answer Selection. IJCNN 2019: 1-8 - [c10]Pengfei Wang, Hanxiong Chen, Yadong Zhu, Huawei Shen, Yongfeng Zhang:
Unified Collaborative Filtering over Graph Embeddings. SIGIR 2019: 155-164 - [c9]Pengfei Wang, Yu Fan, Shuzi Niu, Ze Yang, Yongfeng Zhang, Jiafeng Guo:
Hierarchical Matching Network for Crime Classification. SIGIR 2019: 325-334 - 2018
- [c8]Pengfei Wang, Ze Yang, Shuzi Niu, Yongfeng Zhang, Lei Zhang, Shaozhang Niu:
Modeling Dynamic Pairwise Attention for Crime Classification over Legal Articles. SIGIR 2018: 485-494 - [i2]Yongfeng Zhang, Qingyao Ai, Xu Chen, Pengfei Wang:
Learning over Knowledge-Base Embeddings for Recommendation. CoRR abs/1803.06540 (2018) - [i1]Longxuan Ma, Pengfei Wang, Lei Zhang:
Dynamic Feature Generation Network for Answer Selection. CoRR abs/1812.05366 (2018) - 2016
- [c7]Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Factorizing Sequential and Historical Purchase Data for Basket Recommendation. AIRS 2016: 237-248 - [c6]Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Multi-task Representation Learning for Demographic Prediction. ECIR 2016: 88-99 - [c5]Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Your Cart tells You: Inferring Demographic Attributes from Purchase Data. WSDM 2016: 173-182 - [c4]Xu Chen, Pengfei Wang, Zheng Qin, Yongfeng Zhang:
HLBPR: A Hybrid Local Bayesian Personal Ranking Method. WWW (Companion Volume) 2016: 21-22 - 2015
- [c3]Shengxian Wan, Yanyan Lan, Pengfei Wang, Jiafeng Guo, Jun Xu, Xueqi Cheng:
Next Basket Recommendation with Neural Networks. RecSys Posters 2015 - [c2]Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Shengxian Wan, Xueqi Cheng:
Learning Hierarchical Representation Model for NextBasket Recommendation. SIGIR 2015: 403-412 - 2014
- [c1]Pengfei Wang, Jiafeng Guo, Yanyan Lan:
Modeling Retail Transaction Data for Personalized Shopping Recommendation. CIKM 2014: 1979-1982
Coauthor Index
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