Pengfei Wang

According to our database, Pengfei Wang authored at least 43 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deep Adaptive Graph Clustering via von Mises-Fisher Distributions.

Pengfei Wang, Daqing Wu, Chong Chen, Kunpeng Liu, Yanjie Fu, Jianqiang Huang, Yuanchun Zhou, Jianfeng Zhan, Xiansheng Hua

ACM Trans. Web, May, 2024

A Dual-channel Semi-supervised Learning Framework on Graphs via Knowledge Transfer and Meta-learning.

Ziyue Qiao, Pengyang Wang, Pengfei Wang, Zhiyuan Ning, Yanjie Fu, Yi Du, Yuanchun Zhou, Jianqiang Huang, Xian-Sheng Hua, Hui Xiong

ACM Trans. Web, May, 2024

Dynamic and Adaptive Feature Generation with LLM.

Xinhao Zhang, Jinghan Zhang, Banafsheh Rekabdar, Yuanchun Zhou, Pengfei Wang, Kunpeng Liu

CoRR, 2024

A Comprehensive Survey on Data Augmentation.

Zaitian Wang, Pengfei Wang, Kunpeng Liu, Pengyang Wang, Yanjie Fu, Chang-Tien Lu, Charu C. Aggarwal, Jian Pei, Yuanchun Zhou

CoRR, 2024

COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing.

Yihang Zhou, Qingqing Long, Yuchen Yan, Xiao Luo, Zeyu Dong, Xuezhi Wang, Zhen Meng, Pengfei Wang, Yuanchun Zhou

CoRR, 2024

scInterpreter: Training Large Language Models to Interpret scRNA-seq Data for Cell Type Annotation.

Cong Li, Meng Xiao, Pengfei Wang, Guihai Feng, Xin Li, Yuanchun Zhou

CoRR, 2024

Refining computational inference of gene regulatory networks: integrating knockout data within a multi-task framework.

Wentao Cui, Qingqing Long, Meng Xiao, Xuezhi Wang, Guihai Feng, Xin Li, Pengfei Wang, Yuanchun Zhou

Briefings Bioinform., 2024

Temporal inductive path neural network for temporal knowledge graph reasoning.

Hao Dong, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Pengfei Wang, Yuanchun Zhou

Artif. Intell., 2024

Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations.

Qingqing Long, Zheng Fang, Chen Fang, Chong Chen, Pengfei Wang, Yuanchun Zhou

Proceedings of the ACM on Web Conference 2024, 2024

Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction.

Yicheng Zhou, Pengfei Wang, Hao Dong, Denghui Zhang, Dingqi Yang, Yanjie Fu, Pengyang Wang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

TFWT: Tabular Feature Weighting with Transformer.

Xinhao Zhang, Zaitian Wang, Lu Jiang, Wanfu Gao, Pengfei Wang, Kunpeng Liu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization.

Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

M2Mol: Multi-view Multi-granularity Molecular Representation Learning for Property Prediction.

Ran Zhang, Xuezhi Wang, Kunpeng Liu, Yuanchun Zhou, Pengfei Wang

Proceedings of the Database Systems for Advanced Applications, 2024

scCDCG: Efficient Deep Structural Clustering for Single-Cell RNA-Seq via Deep Cut-Informed Graph Embedding.

Ping Xu, Zhiyuan Ning, Meng Xiao, Guihai Feng, Xin Li, Yuanchun Zhou, Pengfei Wang

Proceedings of the Database Systems for Advanced Applications, 2024

PIXEL: Prompt-based Zero-shot Hashing via Visual and Textual Semantic Alignment.

Zeyu Dong, Qingqing Long, Yihang Zhou, Pengfei Wang, Zhihong Zhu, Xiao Luo, Yidong Wang, Pengyang Wang, Yuanchun Zhou

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

H2D: Hierarchical Heterogeneous Graph Learning Framework for Drug-Drug Interaction Prediction.

Ran Zhang, Xuezhi Wang, Sheng Wang, Kunpeng Liu, Yuanchun Zhou, Pengfei Wang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

HTCL-DDI: a hierarchical triple-view contrastive learning framework for drug-drug interaction prediction.

Ran Zhang, Xuezhi Wang, Pengfei Wang, Zhen Meng, Wenjuan Cui, Yuanchun Zhou

Briefings Bioinform., September, 2023

Dynamic High-Resolution Network for Semantic Segmentation in Remote-Sensing Images.

Shichen Guo, Qi Yang, Shiming Xiang, Pengfei Wang, Xuezhi Wang

Remote. Sens., May, 2023

Urban Traffic Light Control via Active Multi-Agent Communication and Supply-Demand Modeling.

Xin Guo, Zhengxu Yu, Pengfei Wang, Zhongming Jin, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua

IEEE Trans. Knowl. Data Eng., April, 2023

Hierarchical Reinforced Urban Planning: Jointly Steering Region and Block Configurations.

Pengfei Wang, Daniel Wang, Kunpeng Liu, Dongjie Wang, Yuanchun Zhou, Leilei Sun, Yanjie Fu

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents.

Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions.

Dongjie Wang, Meng Xiao, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning.

Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Boosting Urban Prediction via Addressing Spatial-Temporal Distribution Shift.

Xuanming Hu, Wei Fan, Kun Yi, Pengfei Wang, Yuanbo Xu, Yanjie Fu, Pengyang Wang

Proceedings of the IEEE International Conference on Data Mining, 2023

RDKG: A Reinforcement Learning Framework for Disease Diagnosis on Knowledge Graph.

Shipeng Guo, Kunpeng Liu, Pengfei Wang, Weiwei Dai, Yi Du, Yuanchun Zhou, Wenjuan Cui

Proceedings of the IEEE International Conference on Data Mining, 2023

Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection.

Meng Xiao, Dongjie Wang, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations.

Dongkun Wang, Wei Fan, Pengyang Wang, Pengfei Wang, Dongjie Wang, Denghui Zhang, Yanjie Fu

CoRR, 2022

Graph Soft-Contrastive Learning via Neighborhood Ranking.

Zhiyuan Ning, Pengfei Wang, Pengyang Wang, Ziyue Qiao, Wei Fan, Denghui Zhang, Yi Du, Yuanchun Zhou

CoRR, 2022

Unifying Human Mobility Forecasting and Trajectory Semantics Augmentation via Hawkes Process Based LSTM.

Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

2021

Sparse Subspace Clustering for Stream Data.

Ken Chen, Yong Tang, Long Wei, Pengfei Wang, Yong Liu, Zhongming Jin

IEEE Access, 2021

Composition-Enhanced Graph Collaborative Filtering for Multi-behavior Recommendation.

Daqing Wu, Xiao Luo, Zeyu Ma, Chong Chen, Pengfei Wang, Minghua Deng, Jinwen Ma

Proceedings of the IEEE International Conference on Data Mining, 2021

Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy.

Kunpeng Liu, Pengfei Wang, Dongjie Wang, Wan Du, Dapeng Oliver Wu, Yanjie Fu

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Stable Learning via Causality-based Feature Rectification.

Zhengxu Yu, Pengfei Wang, Junkai Xu, Liang Xie, Zhongming Jin, Jianqiang Huang, Xiaofei He, Deng Cai, Xian-Sheng Hua

CoRR, 2020

Dynamic Spatio-Temporal Graph-Based CNNs for Traffic Flow Prediction.

Ken Chen, Fei Chen, Baisheng Lai, Zhongming Jin, Yong Liu, Kai Li, Long Wei, Pengfei Wang, Yandong Tang, Jianqiang Huang, Xian-Sheng Hua

IEEE Access, 2020

Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning.

Ziyue Qiao, Pengyang Wang, Yanjie Fu, Yi Du, Pengfei Wang, Yuanchun Zhou

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning.

Kunpeng Liu, Yanjie Fu, Pengfei Wang, Le Wu, Rui Bo, Xiaolin Li

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Unsupervised Author Disambiguation using Heterogeneous Graph Convolutional Network Embedding.

Ziyue Qiao, Yi Du, Yanjie Fu, Pengfei Wang, Yuanchun Zhou

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Spotting Trip Purposes from Taxi Trajectories: A General Probabilistic Model.

Pengfei Wang, Guannan Liu, Yanjie Fu, Yuanchun Zhou, Jianhui Li

ACM Trans. Intell. Syst. Technol., 2018

You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis.

Pengyang Wang, Yanjie Fu, Jiawei Zhang, Pengfei Wang, Yu Zheng, Charu C. Aggarwal

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

A Framework of Data Sharing System with Decentralized Network.

Pengfei Wang, Wenjuan Cui, Jianhui Li

Proceedings of the Big Scientific Data Management, 2018

2017

An algorithm for event detection based on social media data.

Wenjuan Cui, Pengfei Wang, Yi Du, Xin Chen, Danhuai Guo, Jianhui Li, Yuanchun Zhou

Neurocomputing, 2017

Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes.

Pengfei Wang, Yanjie Fu, Guannan Liu, Wenqing Hu, Charu C. Aggarwal

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

How to Use the Social Media Data in Assisting Restaurant Recommendation.

Wenjuan Cui, Pengfei Wang, Xin Chen, Yi Du, Danhuai Guo, Yuanchun Zhou, Jianhui Li

Proceedings of the Database Systems for Advanced Applications, 2016