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ORCIDPengfei Wang 0008
Person information
- affiliation: Alibaba Group, DAMO Academy, Hangzhou, China
- affiliation: Missouri University of Science and Technology, Rolla, MO, USA
- affiliation: Chinese Academy of Sciences, Computer Network Information Center, Beijing, 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.dagstuhl.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 0009 — Beijing University of Posts and Telecommunications, China
- 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
- Pengfei Wang 0013 — Dalian University of Technology, School of Computer Science and Technology, Dalian, China
- Pengfei Wang 0014 — University of Montpellier, LIRMM, Montpellier, France
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Journal Articles
- 2026
[j14]Zhiyuan Ning, Zaitian Wang, Ran Zhang, Ping Xu, Kunpeng Liu, Pengyang Wang, Wei Ju, Pengfei Wang, Yuanchun Zhou, Erik Cambria, Chong Chen:
Deep cut-informed graph embedding and clustering. Inf. Fusion 126: 103603 (2026)- 2025
- [j13]Ping Xu, Pengfei Wang, Zhiyuan Ning, Meng Xiao, Min Wu, Yuanchun Zhou:
Soft graph clustering for single-cell RNA sequencing data. BMC Bioinform. 26(1): 195 (2025) - [j12]Wentao Cui, Qingqing Long, Wenhao Liu, Chen Fang, Xuezhi Wang, Pengfei Wang, Yuanchun Zhou:
Hierarchical Graph Transformer With Contrastive Learning for Gene Regulatory Network Inference. IEEE J. Biomed. Health Informatics 29(1): 690-699 (2025) - 2024
- [j11]Hao Dong, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Pengfei Wang, Yuanchun Zhou:
Temporal inductive path neural network for temporal knowledge graph reasoning. Artif. Intell. 329: 104085 (2024) - [j10]Wentao Cui, Qingqing Long, Meng Xiao, Xuezhi Wang, Guihai Feng, Xin Li, Pengfei Wang, Yuanchun Zhou:
Refining computational inference of gene regulatory networks: integrating knockout data within a multi-task framework. Briefings Bioinform. 25(5) (2024) - [j9]Ziyue Qiao, Pengyang Wang, Pengfei Wang, Zhiyuan Ning, Yanjie Fu, Yi Du, Yuanchun Zhou, Jianqiang Huang, Xian-Sheng Hua, Hui Xiong:
A Dual-channel Semi-supervised Learning Framework on Graphs via Knowledge Transfer and Meta-learning. ACM Trans. Web 18(2): 18:1-18:26 (2024) - [j8]Pengfei Wang, Daqing Wu, Chong Chen, Kunpeng Liu, Yanjie Fu, Jianqiang Huang, Yuanchun Zhou, Jianfeng Zhan, Xiansheng Hua:
Deep Adaptive Graph Clustering via von Mises-Fisher Distributions. ACM Trans. Web 18(2): 22:1-22:21 (2024) - 2023
- [j7]Ran Zhang, Xuezhi Wang, Pengfei Wang, Zhen Meng, Wenjuan Cui, Yuanchun Zhou:
HTCL-DDI: a hierarchical triple-view contrastive learning framework for drug-drug interaction prediction. Briefings Bioinform. 24(6) (2023) - [j6]Shichen Guo, Qi Yang, Shiming Xiang, Pengfei Wang, Xuezhi Wang:
Dynamic High-Resolution Network for Semantic Segmentation in Remote-Sensing Images. Remote. Sens. 15(9): 2293 (2023) - [j5]Xin Guo, Zhengxu Yu, Pengfei Wang, Zhongming Jin, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua:
Urban Traffic Light Control via Active Multi-Agent Communication and Supply-Demand Modeling. IEEE Trans. Knowl. Data Eng. 35(4): 4346-4356 (2023) - 2021
- [j4]Ken Chen, Yong Tang, Long Wei, Pengfei Wang, Yong Liu, Zhongming Jin:
Sparse Subspace Clustering for Stream Data. IEEE Access 9: 57271-57279 (2021) - 2020
- [j3]Ken Chen, Fei Chen, Baisheng Lai, Zhongming Jin, Yong Liu, Kai Li, Long Wei, Pengfei Wang, Yandong Tang, Jianqiang Huang, Xian-Sheng Hua:
Dynamic Spatio-Temporal Graph-Based CNNs for Traffic Flow Prediction. IEEE Access 8: 185136-185145 (2020) - 2018
- [j2]Pengfei Wang, Guannan Liu, Yanjie Fu, Yuanchun Zhou, Jianhui Li:
Spotting Trip Purposes from Taxi Trajectories: A General Probabilistic Model. ACM Trans. Intell. Syst. Technol. 9(3): 29:1-29:26 (2018) - 2017
- [j1]Wenjuan Cui, Pengfei Wang, Yi Du, Xin Chen, Danhuai Guo, Jianhui Li, Yuanchun Zhou:
An algorithm for event detection based on social media data. Neurocomputing 254: 53-58 (2017)
Conference and Workshop Papers
- 2025
- [c32]Ran Zhang, Xuezhi Wang, Guannan Liu, Pengyang Wang, Yuanchun Zhou, Pengfei Wang:
Motif-Oriented Representation Learning with Topology Refinement for Drug-Drug Interaction Prediction. AAAI 2025: 1102-1110 - [c31]Zaitian Wang, Jinghan Zhang, Xinhao Zhang, Kunpeng Liu, Pengfei Wang, Yuanchun Zhou:
Diversity-oriented Data Augmentation with Large Language Models. ACL (1) 2025: 22265-22283 - [c30]Yihao Ai, Zhiyuan Ning, Weiwei Dai, Pengfei Wang, Yi Du, Wenjuan Cui, Kunpeng Liu, Yuanchun Zhou:
Distilling Closed-Source LLM's Knowledge for Locally Stable and Economic Biomedical Entity Linking. ICIC (25) 2025: 92-103 - [c29]Zhiyuan Ning, Pengfei Wang, Ziyue Qiao, Pengyang Wang, Yuanchun Zhou:
Rethinking Graph Contrastive Learning Through Relative Similarity Preservation. IJCAI 2025: 3217-3225 - [c28]Xinhao Zhang, Jinghan Zhang, Banafsheh Rekabdar, Yuanchun Zhou, Pengfei Wang, Kunpeng Liu:
Dynamic and Adaptive Feature Generation with LLM. IJCAI 2025: 7029-7037 - [c27]Ping Xu, Zhiyuan Ning, Pengjiang Li, Wenhao Liu, Pengyang Wang, Jiaxu Cui, Yuanchun Zhou, Pengfei Wang:
scSiameseClu: A Siamese Clustering Framework for Interpreting Single-cell RNA Sequencing Data. IJCAI 2025: 7867-7875 - 2024
- [c26]Zeyu Dong, Qingqing Long, Yihang Zhou, Pengfei Wang, Zhihong Zhu, Xiao Luo, Yidong Wang, Pengyang Wang, Yuanchun Zhou:
PIXEL: Prompt-based Zero-shot Hashing via Visual and Textual Semantic Alignment. CIKM 2024: 487-496 - [c25]Ran Zhang, Xuezhi Wang, Sheng Wang, Kunpeng Liu, Yuanchun Zhou, Pengfei Wang:
H2D: Hierarchical Heterogeneous Graph Learning Framework for Drug-Drug Interaction Prediction. CIKM 2024: 4283-4287 - [c24]Ping Xu, Zhiyuan Ning, Meng Xiao, Guihai Feng, Xin Li, Yuanchun Zhou, Pengfei Wang:
scCDCG: Efficient Deep Structural Clustering for Single-Cell RNA-Seq via Deep Cut-Informed Graph Embedding. DASFAA (7) 2024: 172-187 - [c23]Ran Zhang, Xuezhi Wang, Kunpeng Liu, Yuanchun Zhou, Pengfei Wang:
M2Mol: Multi-view Multi-granularity Molecular Representation Learning for Property Prediction. DASFAA (7) 2024: 264-274 - [c22]Yanan Xiao, XiangLin Li, Lu Jiang, Pengfei Wang, Kaidi Wang, Na Luo:
Towards Dynamic University Course Timetabling Problem: An Automated Approach Augmented via Reinforcement Learning. ICDM 2024: 520-529 - [c21]Xinhao Zhang, Zaitian Wang, Lu Jiang, Wanfu Gao, Pengfei Wang, Kunpeng Liu:
TFWT: Tabular Feature Weighting with Transformer. IJCAI 2024: 2570-2578 - [c20]Yicheng Zhou, Pengfei Wang, Hao Dong, Denghui Zhang, Dingqi Yang, Yanjie Fu, Pengyang Wang:
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction. IJCAI 2024: 2607-2615 - [c19]Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou:
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization. IJCAI 2024: 4760-4768 - [c18]Qingqing Long, Zheng Fang, Chen Fang, Chong Chen, Pengfei Wang, Yuanchun Zhou:
Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations. WWW 2024: 1035-1044 - 2023
- [c17]Xuanming Hu, Wei Fan, Kun Yi, Pengfei Wang, Yuanbo Xu, Yanjie Fu, Pengyang Wang:
Boosting Urban Prediction via Addressing Spatial-Temporal Distribution Shift. ICDM 2023: 160-169 - [c16]Meng Xiao, Dongjie Wang, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu:
Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection. ICDM 2023: 688-697 - [c15]Shipeng Guo, Kunpeng Liu, Pengfei Wang, Weiwei Dai, Yi Du, Yuanchun Zhou, Wenjuan Cui:
RDKG: A Reinforcement Learning Framework for Disease Diagnosis on Knowledge Graph. ICDM 2023: 1049-1054 - [c14]Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu:
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning. IJCAI 2023: 2086-2094 - [c13]Dongjie Wang, Meng Xiao, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu:
Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions. NeurIPS 2023 - [c12]Pengfei Wang, Daniel Wang, Kunpeng Liu, Dongjie Wang, Yuanchun Zhou, Leilei Sun, Yanjie Fu:
Hierarchical Reinforced Urban Planning: Jointly Steering Region and Block Configurations. SDM 2023: 343-351 - [c11]Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu:
Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents. SDM 2023: 775-783 - 2022
- [c10]Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu:
Unifying Human Mobility Forecasting and Trajectory Semantics Augmentation via Hawkes Process Based LSTM. SDM 2022: 711-719 - 2021
- [c9]Kunpeng Liu, Pengfei Wang, Dongjie Wang, Wan Du, Dapeng Oliver Wu, Yanjie Fu:
Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy. ICDM 2021: 399-408 - [c8]Daqing Wu, Xiao Luo, Zeyu Ma, Chong Chen, Pengfei Wang, Minghua Deng, Jinwen Ma:
Composition-Enhanced Graph Collaborative Filtering for Multi-behavior Recommendation. ICDM 2021: 1427-1432 - 2020
- [c7]Ziyue Qiao, Pengyang Wang, Yanjie Fu, Yi Du, Pengfei Wang, Yuanchun Zhou:
Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning. ICDM 2020: 432-441 - 2019
- [c6]Ziyue Qiao, Yi Du, Yanjie Fu, Pengfei Wang, Yuanchun Zhou:
Unsupervised Author Disambiguation using Heterogeneous Graph Convolutional Network Embedding. IEEE BigData 2019: 910-919 - [c5]Kunpeng Liu, Yanjie Fu, Pengfei Wang, Le Wu, Rui Bo, Xiaolin Li:
Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning. KDD 2019: 207-215 - 2018
- [c4]Pengfei Wang, Wenjuan Cui, Jianhui Li:
A Framework of Data Sharing System with Decentralized Network. BigSDM 2018: 255-262 - [c3]Pengyang Wang, Yanjie Fu, Jiawei Zhang, Pengfei Wang, Yu Zheng, Charu C. Aggarwal:
You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis. KDD 2018: 2457-2466 - 2017
- [c2]Pengfei Wang, Yanjie Fu, Guannan Liu, Wenqing Hu, Charu C. Aggarwal:
Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes. KDD 2017: 495-503 - 2016
- [c1]Wenjuan Cui, Pengfei Wang, Xin Chen, Yi Du, Danhuai Guo, Yuanchun Zhou, Jianhui Li:
How to Use the Social Media Data in Assisting Restaurant Recommendation. DASFAA Workshops 2016: 134-141
Informal and Other Publications
- 2025
- [i25]Dongjie Wang, Yanyong Huang, Wangyang Ying, Haoyue Bai, Nanxu Gong, Xinyuan Wang, Sixun Dong, Tao Zhe, Kunpeng Liu, Meng Xiao, Pengfei Wang, Pengyang Wang, Hui Xiong, Yanjie Fu:
Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation. CoRR abs/2501.10555 (2025) - [i24]Zaitian Wang, Jinghan Zhang, Xinhao Zhang, Kunpeng Liu, Pengfei Wang, Yuanchun Zhou:
Diversity-Oriented Data Augmentation with Large Language Models. CoRR abs/2502.11671 (2025) - [i23]Zhiyuan Ning, Zaitian Wang, Ran Zhang, Ping Xu, Kunpeng Liu, Pengyang Wang, Wei Ju, Pengfei Wang, Yuanchun Zhou, Erik Cambria, Chong Chen:
Deep Cut-informed Graph Embedding and Clustering. CoRR abs/2503.06635 (2025) - [i22]Zhiyuan Ning, Pengfei Wang, Ziyue Qiao, Pengyang Wang, Yuanchun Zhou:
Rethinking Graph Contrastive Learning through Relative Similarity Preservation. CoRR abs/2505.05533 (2025) - [i21]Ping Xu, Zhiyuan Ning, Pengjiang Li, Wenhao Liu, Pengyang Wang, Jiaxu Cui, Yuanchun Zhou, Pengfei Wang:
scSiameseClu: A Siamese Clustering Framework for Interpreting single-cell RNA Sequencing Data. CoRR abs/2505.12626 (2025) - [i20]Yihao Ai, Zhiyuan Ning, Weiwei Dai, Pengfei Wang, Yi Du, Wenjuan Cui, Kunpeng Liu, Yuanchun Zhou:
Distilling Closed-Source LLM's Knowledge for Locally Stable and Economic Biomedical Entity Linking. CoRR abs/2505.19722 (2025) - [i19]Ping Xu, Pengfei Wang, Zhiyuan Ning, Meng Xiao, Min Wu, Yuanchun Zhou:
Soft Graph Clustering for single-cell RNA Sequencing Data. CoRR abs/2507.09890 (2025) - 2024
- [i18]Qingqing Long, Zheng Fang, Chen Fang, Chong Chen, Pengfei Wang, Yuanchun Zhou:
Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations. CoRR abs/2402.01231 (2024) - [i17]Cong Li, Meng Xiao, Pengfei Wang, Guihai Feng, Xin Li, Yuanchun Zhou:
scInterpreter: Training Large Language Models to Interpret scRNA-seq Data for Cell Type Annotation. CoRR abs/2402.12405 (2024) - [i16]Yihang Zhou, Qingqing Long, Yuchen Yan, Xiao Luo, Zeyu Dong, Xuezhi Wang, Zhen Meng, Pengfei Wang, Yuanchun Zhou:
COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing. CoRR abs/2402.16424 (2024) - [i15]Ping Xu, Zhiyuan Ning, Meng Xiao, Guihai Feng, Xin Li, Yuanchun Zhou, Pengfei Wang:
scCDCG: Efficient Deep Structural Clustering for single-cell RNA-seq via Deep Cut-informed Graph Embedding. CoRR abs/2404.06167 (2024) - [i14]Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou:
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization. CoRR abs/2405.06312 (2024) - [i13]Xinhao Zhang, Zaitian Wang, Lu Jiang, Wanfu Gao, Pengfei Wang, Kunpeng Liu:
TFWT: Tabular Feature Weighting with Transformer. CoRR abs/2405.08403 (2024) - [i12]Zaitian Wang, Pengfei Wang, Kunpeng Liu, Pengyang Wang, Yanjie Fu, Chang-Tien Lu, Charu C. Aggarwal, Jian Pei, Yuanchun Zhou:
A Comprehensive Survey on Data Augmentation. CoRR abs/2405.09591 (2024) - [i11]Xinhao Zhang, Jinghan Zhang, Banafsheh Rekabdar, Yuanchun Zhou, Pengfei Wang, Kunpeng Liu:
Dynamic and Adaptive Feature Generation with LLM. CoRR abs/2406.03505 (2024) - [i10]Yicheng Zhou, Pengfei Wang, Hao Dong, Denghui Zhang, Dingqi Yang, Yanjie Fu, Pengyang Wang:
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction. CoRR abs/2406.16992 (2024) - 2023
- [i9]Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu:
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning. CoRR abs/2304.12604 (2023) - [i8]Hao Dong, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Pengfei Wang, Yuanchun Zhou:
Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning. CoRR abs/2309.03251 (2023) - [i7]Dongjie Wang, Meng Xiao, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu:
Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions. CoRR abs/2309.13618 (2023) - 2022
- [i6]Zhiyuan Ning, Pengfei Wang, Pengyang Wang, Ziyue Qiao, Wei Fan, Denghui Zhang, Yi Du, Yuanchun Zhou:
Graph Soft-Contrastive Learning via Neighborhood Ranking. CoRR abs/2209.13964 (2022) - [i5]Dongkun Wang, Wei Fan, Pengyang Wang, Pengfei Wang, Dongjie Wang, Denghui Zhang, Yanjie Fu:
Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations. CoRR abs/2212.12932 (2022) - [i4]Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu:
Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents. CoRR abs/2212.13402 (2022) - 2021
- [i3]Kunpeng Liu, Pengfei Wang, Dongjie Wang, Wan Du, Dapeng Oliver Wu, Yanjie Fu:
Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy. CoRR abs/2109.14180 (2021) - 2020
- [i2]Zhengxu Yu, Pengfei Wang, Junkai Xu, Liang Xie, Zhongming Jin, Jianqiang Huang, Xiaofei He, Deng Cai, Xian-Sheng Hua:
Stable Learning via Causality-based Feature Rectification. CoRR abs/2007.15241 (2020) - [i1]Ziyue Qiao, Pengyang Wang, Yanjie Fu, Yi Du, Pengfei Wang, Yuanchun Zhou:
Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning. CoRR abs/2008.10003 (2020)
Coauthor Index
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