Pengfei Jiao

According to our database, Pengfei Jiao authored at least 106 papers between 2015 and 2025.

Collaborative distances:

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

2025

Learning accurate neighborhood- and self-information for higher-order relation prediction in Heterogeneous Information Networks.

Jie Li, Xuan Guo, Pengfei Jiao, Wenjun Wang

Neurocomputing, 2025

2024

Hybrid-FHR: a multi-modal AI approach for automated fetal acidosis diagnosis.

Zhidong Zhao, Jiawei Zhu, Pengfei Jiao, Jinpeng Wang, Xiaohong Zhang, Xinmiao Lu, Yefei Zhang

BMC Medical Informatics Decis. Mak., December, 2024

HGN2T: A Simple but Plug-and-Play Framework Extending HGNNs on Heterogeneous Temporal Graphs.

Huan Liu, Pengfei Jiao, Xuan Guo, Huaming Wu, Mengzhou Gao, Jilin Zhang

IEEE Trans. Big Data, October, 2024

Representation Learning on Heterostructures via Heterogeneous Anonymous Walks.

Xuan Guo, Pengfei Jiao, Wang Zhang, Ting Pan, Mengyu Jia, Danyang Shi, Wenjun Wang

IEEE Trans. Neural Networks Learn. Syst., July, 2024

Inductive Link Prediction via Interactive Learning Across Relations in Multiplex Networks.

Mengzhou Gao, Pengfei Jiao, Ruili Lu, Huaming Wu, Yinghui Wang, Zhidong Zhao

IEEE Trans. Comput. Soc. Syst., June, 2024

Fine-Tuned Personality Federated Learning for Graph Data.

Meiting Xue, Zian Zhou, Pengfei Jiao, Huijun Tang

IEEE Trans. Big Data, June, 2024

Link prediction in bipartite networks via effective integration of explicit and implicit relations.

Xue Chen, Chaochao Liu, Xiaobo Li, Ying Sun, Wei Yu, Pengfei Jiao

Neurocomputing, January, 2024

RD-GCN: A Role-Based Dynamic Graph Convolutional Network for Information Diffusion Prediction.

Jingkai Ye, Qing Bao, Ming Xu, Jian Xu, Hongjun Qiu, Pengfei Jiao

IEEE Trans. Netw. Sci. Eng., 2024

VGGM: Variational Graph Gaussian Mixture Model for Unsupervised Change Point Detection in Dynamic Networks.

Xinxun Zhang, Pengfei Jiao, Mengzhou Gao, Tianpeng Li, Yiming Wu, Huaming Wu, Zhidong Zhao

IEEE Trans. Inf. Forensics Secur., 2024

Contrastive representation learning on dynamic networks.

Pengfei Jiao, Hongjiang Chen, Huijun Tang, Qing Bao, Long Zhang, Zhidong Zhao, Huaming Wu

Neural Networks, 2024

A deep contrastive framework for unsupervised temporal link prediction in dynamic networks.

Pengfei Jiao, Xinxun Zhang, Zehao Liu, Long Zhang, Huaming Wu, Mengzhou Gao, Tianpeng Li, Jian Wu

Inf. Sci., 2024

Graph contrastive learning for source localization in social networks.

Qing Bao, Ying Jiang, Wang Zhang, Pengfei Jiao, Jing Su

Inf. Sci., 2024

Informative Subgraphs Aware Masked Auto-Encoder in Dynamic Graphs.

Pengfei Jiao, Xinxun Zhang, Mengzhou Gao, Tianpeng Li, Zhidong Zhao

CoRR, 2024

Link Topology-Adaptive Offloading Method On Vehicular Edge Computing.

Huijun Tang, Ming Du, Huaming Wu, Pengfei Jiao

Proceedings of the IEEE INFOCOM 2024, 2024

CINA: Curvature-Based Integrated Network Alignment with Hypergraph.

Pengfei Jiao, Yuanqi Liu, Yinghui Wang, Ge Zhang

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning.

Pengfei Jiao, Hongqian Chen, Qing Bao, Wang Zhang, Huaming Wu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Generative Evolutionary Anomaly Detection in Dynamic Networks.

Pengfei Jiao, Tianpeng Li, Yingjie Xie, Yinghui Wang, Wenjun Wang, Dongxiao He, Huaming Wu

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

Neighborhood overlap-aware heterogeneous hypergraph neural network for link prediction.

Yifan Lu, Mengzhou Gao, Huan Liu, Zehao Liu, Wei Yu, Xiaoming Li, Pengfei Jiao

Pattern Recognit., December, 2023

Role-oriented representation learning via fusioning local and higher-order feature.

Ming Du, Pengfei Jiao, Huijun Tang, Wang Zhang, Jian Wu

Knowl. Based Syst., December, 2023

HB-DSBM: Modeling the Dynamic Complex Networks From Community Level to Node Level.

Pengfei Jiao, Tianpeng Li, Huaming Wu, Chang-Dong Wang, Dongxiao He, Wenjun Wang

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Exploring Temporal Community Structure via Network Embedding.

Tianpeng Li, Wenjun Wang, Pengfei Jiao, Yinghui Wang, Ruomeng Ding, Huaming Wu, Lin Pan, Di Jin

IEEE Trans. Cybern., November, 2023

DT-CTNet: A clinically interpretable diagnosis model for fetal distress.

Yefei Zhang, Yanjun Deng, Xianfei Zhang, Pengfei Jiao, Xiaohong Zhang, Zhidong Zhao

Biomed. Signal Process. Control., September, 2023

Improvement of accuracy and resilience in FHR classification via double trend accumulation encoding and attention mechanism.

Zhixin Zhou, Zhidong Zhao, Xiaohong Zhang, Xianfei Zhang, Pengfei Jiao

Biomed. Signal Process. Control., August, 2023

Identifying fetal status with fetal heart rate: Deep learning approach based on long convolution.

Zhixin Zhou, Zhidong Zhao, Xianfei Zhang, Xiaohong Zhang, Pengfei Jiao, Xuanyu Ye

Comput. Biol. Medicine, June, 2023

A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning.

Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Dongxiao He, Jia Wu, Philip S. Yu, Weixiong Zhang

IEEE Trans. Knowl. Data Eng., 2023

Role Discovery-Guided Network Embedding Based on Autoencoder and Attention Mechanism.

Pengfei Jiao, Qiang Tian, Wang Zhang, Xuan Guo, Di Jin, Huaming Wu

IEEE Trans. Cybern., 2023

MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for Improving Segmentation of Medical Image with Ambiguous Boundaries.

Shuai Wang, Tengjin Weng, Jingyi Wang, Yang Shen, Zhidong Zhao, Yixiu Liu, Pengfei Jiao, Zhiming Cheng, Yaqi Wang

CoRR, 2023

Temporal Graph Representation Learning with Adaptive Augmentation Contrastive.

Hongjiang Chen, Pengfei Jiao, Huijun Tang, Huaming Wu

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Enhancing Network Alignment through Multi-Scale Information Fusion.

Zhihao Chen, Pengfei Jiao, Yinghui Wang, Huijun Tang, Jilin Zhang

Proceedings of the IEEE International Conference on Knowledge Graph, 2023

On Multi-Modal Fusion Learning in Pathological Diagnosis of Fetal Distress.

Yefei Zhang, Zhidong Zhao, Yanjun Deng, Pengfei Jiao

Proceedings of the IEEE International Conference on E-health Networking, 2023

Heterogeneous Link Prediction via Mutual Information Maximization Between Node Pairs.

Yifan Lu, Zehao Liu, Mengzhou Gao, Pengfei Jiao

Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

2022

Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism.

Pengfei Jiao, Xuan Guo, Xin Jing, Dongxiao He, Huaming Wu, Shirui Pan, Maoguo Gong, Wenjun Wang

IEEE Trans. Neural Networks Learn. Syst., 2022

Green Parallel Online Offloading for DSCI-Type Tasks in IoT-Edge Systems.

Junqi Chen, Huaming Wu, Ruidong Li, Pengfei Jiao

IEEE Trans. Ind. Informatics, 2022

EosDNN: An Efficient Offloading Scheme for DNN Inference Acceleration in Local-Edge-Cloud Collaborative Environments.

Min Xue, Huaming Wu, Ruidong Li, Minxian Xu, Pengfei Jiao

IEEE Trans. Green Commun. Netw., 2022

A Survey on Role-Oriented Network Embedding.

Pengfei Jiao, Xuan Guo, Ting Pan, Wang Zhang, Yulong Pei, Lin Pan

IEEE Trans. Big Data, 2022

Two-stage content based image retrieval using sparse representation and feature fusion.

Wenqing Wang, Pengfei Jiao, Han Liu, Xiao Ma, Zhuo Shang

Multim. Tools Appl., 2022

Geometry interaction network alignment.

Yinghui Wang, Wenjun Wang, Zixu Zhen, Qiyao Peng, Pengfei Jiao, Wei Liang, Minglai Shao, Yueheng Sun

Neurocomputing, 2022

Towards a Multi-View Attentive Matching for Personalized Expert Finding.

Qiyao Peng, Hongtao Liu, Yinghui Wang, Hongyan Xu, Pengfei Jiao, Minglai Shao, Wenjun Wang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Towards Personalized Review Generation with Gated Multi-source Fusion Network.

Hongtao Liu, Wenjun Wang, Hongyan Xu, Qiyao Peng, Pengfei Jiao, Yueheng Sun

Proceedings of the Database Systems for Advanced Applications, 2022

Expertise-Oriented Explainable Question Routing.

Yulu Li, Wenjun Wang, Qiyao Peng, Hongtao Liu, Minglai Shao, Pengfei Jiao

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2022

Role-Oriented Dynamic Network Embedding.

Ting Pan, Wenjun Wang, Minglai Shao, Yueheng Sun, Pengfei Jiao

Proceedings of the IEEE International Conference on Big Data, 2022

Block Modeling-Guided Graph Convolutional Neural Networks.

Dongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao, Zhiyong Feng

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Toward Comprehensive User and Item Representations via Three-tier Attention Network.

Hongtao Liu, Wenjun Wang, Qiyao Peng, Nannan Wu, Fangzhao Wu, Pengfei Jiao

ACM Trans. Inf. Syst., 2021

DMRO: A Deep Meta Reinforcement Learning-Based Task Offloading Framework for Edge-Cloud Computing.

Guanjin Qu, Huaming Wu, Ruidong Li, Pengfei Jiao

IEEE Trans. Netw. Serv. Manag., 2021

Role-based network embedding via structural features reconstruction with degree-regularized constraint.

Wang Zhang, Xuan Guo, Wenjun Wang, Qiang Tian, Lin Pan, Pengfei Jiao

Knowl. Based Syst., 2021

Rating-boosted abstractive review summarization with neural personalized generation.

Hongyan Xu, Hongtao Liu, Wang Zhang, Pengfei Jiao, Wenjun Wang

Knowl. Based Syst., 2021

Lower order information preserved network embedding based on non-negative matrix decomposition.

Qiang Tian, Lin Pan, Wang Zhang, Tianpeng Li, Huaming Wu, Pengfei Jiao, Wenjun Wang

Inf. Sci., 2021

EEDTO: An Energy-Efficient Dynamic Task Offloading Algorithm for Blockchain-Enabled IoT-Edge-Cloud Orchestrated Computing.

Huaming Wu, Katinka Wolter, Pengfei Jiao, Yingjun Deng, Yubin Zhao, Minxian Xu

IEEE Internet Things J., 2021

Analysis of 5G academic Network based on graph representation learning method.

Xiaoming Li, Guangquan Xu, Wei Yu, Pengfei Jiao, Xiangyu Song

CoRR, 2021

A Survey on Role-Oriented Network Embedding.

Pengfei Jiao, Xuan Guo, Ting Pan, Wang Zhang, Yulong Pei

CoRR, 2021

A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning.

Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Philip S. Yu, Weixiong Zhang

CoRR, 2021

College Students' Psychological Health Analysis Based on Multitask Gaussian Graphical Models.

Qiang Tian, Rui Wang, Shijie Li, Wenjun Wang, Ou Wu, Faming Li, Pengfei Jiao

Complex., 2021

Layer Information Similarity Concerned Network Embedding.

Ruili Lu, Pengfei Jiao, Yinghui Wang, Huaming Wu, Xue Chen

Complex., 2021

Transformer Reasoning Network for Personalized Review Summarization.

Hongyan Xu, Hongtao Liu, Pengfei Jiao, Wenjun Wang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Self-Guided Community Detection on Networks with Missing Edges.

Dongxiao He, Shuai Li, Di Jin, Pengfei Jiao, Yuxiao Huang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Learning Stochastic Equivalence based on Discrete Ricci Curvature.

Xuan Guo, Qiang Tian, Wang Zhang, Wenjun Wang, Pengfei Jiao

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Generating Structural Node Representations via Higher-order Features and Adversarial Learning.

Wang Zhang, Yang Yu, Ting Pan, Lin Pan, Pengfei Jiao, Wenjun Wang

Proceedings of the IEEE International Conference on Data Mining, 2021

An Effective and Robust Framework by Modeling Correlations of Multiplex Network Embedding.

Pengfei Jiao, Ruili Lu, Di Jin, Yinghui Wang, Huaming Wu

Proceedings of the IEEE International Conference on Data Mining, 2021

Neural Adversarial Review Summarization with Hierarchical Personalized Attention.

Hongyan Xu, Hongtao Liu, Wenjun Wang, Pengfei Jiao

Proceedings of the Database Systems for Advanced Applications, 2021

Role-oriented Network Embedding Based on Adversarial Learning between Higher-order and Local Features.

Wang Zhang, Xuan Guo, Ting Pan, Chaochao Liu, Pengfei Jiao, Lin Pan, Wenjun Wang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Hybrid-order Stochastic Block Model.

Xunxun Wu, Chang-Dong Wang, Pengfei Jiao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Detecting Communities with Multiplex Semantics by Distinguishing Background, General, and Specialized Topics.

Di Jin, Kunzeng Wang, Ge Zhang, Pengfei Jiao, Dongxiao He, Françoise Fogelman-Soulié, Xin Huang

IEEE Trans. Knowl. Data Eng., 2020

Modeling with Node Popularities for Autonomous Overlapping Community Detection.

Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Hongyu Shan, Weixiong Zhang

ACM Trans. Intell. Syst. Technol., 2020

Variational autoencoder based bipartite network embedding by integrating local and global structure.

Pengfei Jiao, Minghu Tang, Hongtao Liu, Yaping Wang, Chunyu Lu, Huaming Wu

Inf. Sci., 2020

Hybrid neural recommendation with joint deep representation learning of ratings and reviews.

Hongtao Liu, Yian Wang, Qiyao Peng, Fangzhao Wu, Lin Gan, Lin Pan, Pengfei Jiao

Neurocomputing, 2020

Exploring the transition behavior of nodes in temporal networks based on dynamic community detection.

Tianpeng Li, Wenjun Wang, Xunxun Wu, Huaming Wu, Pengfei Jiao, Yandong Yu

Future Gener. Comput. Syst., 2020

A Unified Bayesian Model for Generalized Community Detection in Attribute Networks.

Qiang Tian, Wenjun Wang, Yingjie Xie, Huaming Wu, Pengfei Jiao, Lin Pan

Complex., 2020

Neural Unified Review Recommendation with Cross Attention.

Hongtao Liu, Wenjun Wang, Hongyan Xu, Qiyao Peng, Pengfei Jiao

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Hierarchical Multi-view Attention for Neural Review-Based Recommendation.

Hongtao Liu, Wenjun Wang, Huitong Chen, Wang Zhang, Qiyao Peng, Lin Pan, Pengfei Jiao

Proceedings of the Natural Language Processing and Chinese Computing, 2020

Cascade modeling with multihead self-attention.

Chaochao Liu, Wenjun Wang, Pengfei Jiao, Xue Chen, Yueheng Sun

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Key Nodes Cluster Augmented Embedding for Heterogeneous Information Networks.

Hongyan Xu, Wenjun Wang, Hongtao Liu, Mengxuan Zhang, Qiang Tian, Pengfei Jiao

Proceedings of the Neural Information Processing - 27th International Conference, 2020

NF-VGA: Incorporating Normalizing Flows into Graph Variational Autoencoder for Embedding Attribute Networks.

Hongyu Shan, Di Jin, Pengfei Jiao, Ziyang Liu, Bingyi Li, Yuxiao Huang

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

Mutual Self Attention Recommendation with Gated Fusion Between Ratings and Reviews.

Qiyao Peng, Hongtao Liu, Yang Yu, Hongyan Xu, Weidi Dai, Pengfei Jiao

Proceedings of the Database Systems for Advanced Applications, 2020

Role-Oriented Graph Auto-encoder Guided by Structural Information.

Xuan Guo, Wang Zhang, Wenjun Wang, Yang Yu, Yinghui Wang, Pengfei Jiao

Proceedings of the Database Systems for Advanced Applications, 2020

A Unified Bayesian Model of Community Detection in Attribute Networks with Power-Law Degree Distribution.

Shichong Zhang, Yinghui Wang, Wenjun Wang, Pengfei Jiao, Lin Pan

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020

CPNSA: Cascade Prediction with Network Structure Attention.

Chaochao Liu, Wenjun Wang, Pengfei Jiao, Yueheng Sun, Xiaoming Li, Xue Chen

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020

Research on the application of image processing in improving the reconnaissance efficiency of UAV.

Xiangeng Shen, Xiaoyang Liu, Pengfei Jiao

Proceedings of the ACAI 2020: 3rd International Conference on Algorithms, 2020

2019

Evolutionary clustering via graph regularized nonnegative matrix factorization for exploring temporal networks.

Wei Yu, Wenjun Wang, Pengfei Jiao, Xuewei Li

Knowl. Based Syst., 2019

Modeling the Local and Global Evolution Pattern of Community Structures for Dynamic Networks Analysis.

Wei Yu, Wenjun Wang, Pengfei Jiao, Huaming Wu, Yueheng Sun, Minghu Tang

IEEE Access, 2019

Deep Mutual Encode Model for Network Embedding From Structural Identity.

Hongyao Ke, Yinghui Wang, Xuan Guo, Lin Pan, Pengfei Jiao, Wenjun Wang, Xiaoping Yang

IEEE Access, 2019

A Novel Generative Topic Embedding Model by Introducing Network Communities.

Di Jin, Jiantao Huang, Pengfei Jiao, Liang Yang, Dongxiao He, Françoise Fogelman-Soulié, Yuxiao Huang

Proceedings of the World Wide Web Conference, 2019

NRPA: Neural Recommendation with Personalized Attention.

Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

SSNE: Status Signed Network Embedding.

Chunyu Lu, Pengfei Jiao, Hongtao Liu, Yaping Wang, Hongyan Xu, Wenjun Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

REKER: Relation Extraction with Knowledge of Entity and Relation.

Hongtao Liu, Yian Wang, Fangzhao Wu, Pengfei Jiao, Hongyan Xu, Xing Xie

Proceedings of the Natural Language Processing and Chinese Computing, 2019

REET: Joint Relation Extraction and Entity Typing via Multi-task Learning.

Hongtao Liu, Peiyi Wang, Fangzhao Wu, Pengfei Jiao, Wenjun Wang, Xing Xie, Yueheng Sun

Proceedings of the Natural Language Processing and Chinese Computing, 2019

NRSA: Neural Recommendation with Summary-Aware Attention.

Qiyao Peng, Peiyi Wang, Wenjun Wang, Hongtao Liu, Yueheng Sun, Pengfei Jiao

Proceedings of the Knowledge Science, Engineering and Management, 2019

Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks.

Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Weixiong Zhang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adversarial Capsule Learning for Network Embedding.

Di Jin, Zhigang Li, Liang Yang, Dongxiao He, Pengfei Jiao, Lu Zhai

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Surrounding-Based Attention Networks for Aspect-Level Sentiment Classification.

Yueheng Sun, Xianchen Wang, Hongtao Liu, Wenjun Wang, Pengfei Jiao

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

Community Detection via Joint Graph Convolutional Network Embedding in Attribute Network.

Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Hongyu Shan

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

Dynamic Stochastic Block Model with Scale-Free Characteristic for Temporal Complex Networks.

Xunxun Wu, Pengfei Jiao, Yaping Wang, Tianpeng Li, Wenjun Wang, Bo Wang

Proceedings of the Database Systems for Advanced Applications, 2019

Bipartite Network Embedding via Effective Integration of Explicit and Implicit Relations.

Yaping Wang, Pengfei Jiao, Wenjun Wang, Chunyu Lu, Hongtao Liu, Bo Wang

Proceedings of the Database Systems for Advanced Applications, 2019

2018

Exploring temporal community structure and constant evolutionary pattern hiding in dynamic networks.

Pengfei Jiao, Wei Yu, Wenjun Wang, Xiaoming Li, Yueheng Sun

Neurocomputing, 2018

Constrained common cluster based model for community detection in temporal and multiplex networks.

Pengfei Jiao, Wenjun Wang, Di Jin

Neurocomputing, 2018

Highlighting Link Prediction in Bipartite Networks via Structural Perturbation.

Xue Chen, Wenjun Wang, Wei Yu, Pengfei Jiao, Yueheng Sun

IEEE Access, 2018

NE-FLGC: Network Embedding Based on Fusing Local (First-Order) and Global (Second-Order) Network Structure with Node Content.

Hongyan Xu, Hongtao Liu, Wenjun Wang, Yueheng Sun, Pengfei Jiao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

A Unified Weakly Supervised Framework for Community Detection and Semantic Matching.

Wenjun Wang, Xiao Liu, Pengfei Jiao, Xue Chen, Di Jin

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics.

Ge Zhang, Di Jin, Jian Gao, Pengfei Jiao, Françoise Fogelman-Soulié, Xin Huang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Exploring Intracity Taxi Mobility during the Holidays for Location-Based Marketing.

Wenjun Wang, Xiao-ming Li, Pengfei Jiao, Guangquan Xu, Ning Yuan, Wei Yu

Mob. Inf. Syst., 2017

Kernel framework based on non-negative matrix factorization for networks reconstruction and link prediction.

Wenjun Wang, Yiding Feng, Pengfei Jiao, Wei Yu

Knowl. Based Syst., 2017

Semi-supervised community detection based on non-negative matrix factorization with node popularity.

Xiao Liu, Wenjun Wang, Dongxiao He, Pengfei Jiao, Di Jin, Carlo Vittorio Cannistraci

Inf. Sci., 2017

Tracking and Detecting Dynamic Communities with Node Popularity Preservation.

Limengzi Yuan, Wenjun Wang, Pengfei Jiao, Di Jin, Wenxin Wei

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Study of land evolution model driving by multi-attribute functional urban areas.

Ruixin Song, Wenjun Wang, Pengfei Jiao, Kang Li, Jing Li

Proceedings of the 6th International Conference on Software and Computer Applications, 2017

2016

Autonomous overlapping community detection in temporal networks: A dynamic Bayesian nonnegative matrix factorization approach.

Wenjun Wang, Pengfei Jiao, Dongxiao He, Di Jin, Lin Pan, Bogdan Gabrys

Knowl. Based Syst., 2016

Comparative Statistical Analysis of Large-Scale Calling and SMS Network.

Jian Li, Wenjun Wang, Pengfei Jiao, Haodong Lyu

Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016

2015

Semi-supervised Community Detection Framework Based on Non-negative Factorization Using Individual Labels.

Zhaoxian Wang, Wenjun Wang, Guixiang Xue, Pengfei Jiao, Xuewei Li

Proceedings of the Advances in Swarm and Computational Intelligence, 2015