Pengfei Jiao

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 106

Top Venues

Publications

Zhidong Zhao, Jiawei Zhu, Pengfei Jiao, Jinpeng Wang, Xiaohong Zhang, Xinmiao Lu, Yefei Zhang
Hybrid-FHR: a multi-modal AI approach for automated fetal acidosis diagnosis. BMC Medical Informatics Decis. Mak. 24 (1) (2024)
Pengfei Jiao, Xinxun Zhang, Zehao Liu, Long Zhang, Huaming Wu, Mengzhou Gao, Tianpeng Li, Jian Wu
A deep contrastive framework for unsupervised temporal link prediction in dynamic networks. Inf. Sci. 667 (2024)
Xuan Guo, Pengfei Jiao, Wang Zhang, Ting Pan, Mengyu Jia, Danyang Shi, Wenjun Wang
Representation Learning on Heterostructures via Heterogeneous Anonymous Walks. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Xue Chen, Chaochao Liu, Xiaobo Li, Ying Sun, Wei Yu, Pengfei Jiao
Link prediction in bipartite networks via effective integration of explicit and implicit relations. Neurocomputing 566 (2024)
Jingkai Ye, Qing Bao, Ming Xu, Jian Xu, Hongjun Qiu, Pengfei Jiao
RD-GCN: A Role-Based Dynamic Graph Convolutional Network for Information Diffusion Prediction. IEEE Trans. Netw. Sci. Eng. 11 (5) (2024)
Meiting Xue, Zian Zhou, Pengfei Jiao, Huijun Tang
Fine-Tuned Personality Federated Learning for Graph Data. IEEE Trans. Big Data 10 (3) (2024)
Mengzhou Gao, Pengfei Jiao, Ruili Lu, Huaming Wu, Yinghui Wang, Zhidong Zhao
Inductive Link Prediction via Interactive Learning Across Relations in Multiplex Networks. IEEE Trans. Comput. Soc. Syst. 11 (3) (2024)
Pengfei Jiao, Hongqian Chen, Qing Bao, Wang Zhang, Huaming Wu
Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning. AAAI (2024)
Pengfei Jiao, Yuanqi Liu, Yinghui Wang, Ge Zhang
CINA: Curvature-Based Integrated Network Alignment with Hypergraph. ICDE (2024)
Qing Bao, Ying Jiang, Wang Zhang, Pengfei Jiao, Jing Su
Graph contrastive learning for source localization in social networks. Inf. Sci. 679 (2024)
Pengfei Jiao, Hongjiang Chen, Huijun Tang, Qing Bao, Long Zhang, Zhidong Zhao, Huaming Wu
Contrastive representation learning on dynamic networks. Neural Networks 174 (2024)
Xinxun Zhang, Pengfei Jiao, Mengzhou Gao, Tianpeng Li, Yiming Wu, Huaming Wu, Zhidong Zhao
VGGM: Variational Graph Gaussian Mixture Model for Unsupervised Change Point Detection in Dynamic Networks. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Huijun Tang, Ming Du, Huaming Wu, Pengfei Jiao
Link Topology-Adaptive Offloading Method On Vehicular Edge Computing. INFOCOM (Workshops) (2024)
Zhixin Zhou, Zhidong Zhao, Xianfei Zhang, Xiaohong Zhang, Pengfei Jiao, Xuanyu Ye
Identifying fetal status with fetal heart rate: Deep learning approach based on long convolution. Comput. Biol. Medicine 159 (2023)
Pengfei Jiao, Tianpeng Li, Huaming Wu, Chang-Dong Wang, Dongxiao He, Wenjun Wang
HB-DSBM: Modeling the Dynamic Complex Networks From Community Level to Node Level. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Pengfei Jiao, Tianpeng Li, Yingjie Xie, Yinghui Wang, Wenjun Wang, Dongxiao He, Huaming Wu
Generative Evolutionary Anomaly Detection in Dynamic Networks. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Pengfei Jiao, Qiang Tian, Wang Zhang, Xuan Guo, Di Jin, Huaming Wu
Role Discovery-Guided Network Embedding Based on Autoencoder and Attention Mechanism. IEEE Trans. Cybern. 53 (1) (2023)
Yifan Lu, Zehao Liu, Mengzhou Gao, Pengfei Jiao
Heterogeneous Link Prediction via Mutual Information Maximization Between Node Pairs. CICAI (1) (2023)
Yefei Zhang, Yanjun Deng, Xianfei Zhang, Pengfei Jiao, Xiaohong Zhang, Zhidong Zhao
DT-CTNet: A clinically interpretable diagnosis model for fetal distress. Biomed. Signal Process. Control. 86 (Part B) (2023)
Zhixin Zhou, Zhidong Zhao, Xiaohong Zhang, Xianfei Zhang, Pengfei Jiao
Improvement of accuracy and resilience in FHR classification via double trend accumulation encoding and attention mechanism. Biomed. Signal Process. Control. 85 (2023)
Yefei Zhang, Zhidong Zhao, Yanjun Deng, Pengfei Jiao
On Multi-Modal Fusion Learning in Pathological Diagnosis of Fetal Distress. HealthCom (2023)
Tianpeng Li, Wenjun Wang, Pengfei Jiao, Yinghui Wang, Ruomeng Ding, Huaming Wu, Lin Pan, Di Jin
Exploring Temporal Community Structure via Network Embedding. IEEE Trans. Cybern. 53 (11) (2023)
Ming Du, Pengfei Jiao, Huijun Tang, Wang Zhang, Jian Wu
Role-oriented representation learning via fusioning local and higher-order feature. Knowl. Based Syst. 282 (2023)
Yifan Lu, Mengzhou Gao, Huan Liu, Zehao Liu, Wei Yu, Xiaoming Li, Pengfei Jiao
Neighborhood overlap-aware heterogeneous hypergraph neural network for link prediction. Pattern Recognit. 144 (2023)
Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Dongxiao He, Jia Wu, Philip S. Yu, Weixiong Zhang
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Hongjiang Chen, Pengfei Jiao, Huijun Tang, Huaming Wu
Temporal Graph Representation Learning with Adaptive Augmentation Contrastive. CoRR (2023)
Hongjiang Chen, Pengfei Jiao, Huijun Tang, Huaming Wu
Temporal Graph Representation Learning with Adaptive Augmentation Contrastive. ECML/PKDD (2) (2023)
Zhihao Chen, Pengfei Jiao, Yinghui Wang, Huijun Tang, Jilin Zhang
Enhancing Network Alignment through Multi-Scale Information Fusion. ICKG (2023)
Shuai Wang, Tengjin Weng, Jingyi Wang, Yang Shen, Zhidong Zhao, Yixiu Liu, Pengfei Jiao, Zhiming Cheng, Yaqi Wang
MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for Improving Segmentation of Medical Image with Ambiguous Boundaries. CoRR (2023)
Min Xue, Huaming Wu, Ruidong Li, Minxian Xu, Pengfei Jiao
EosDNN: An Efficient Offloading Scheme for DNN Inference Acceleration in Local-Edge-Cloud Collaborative Environments. IEEE Trans. Green Commun. Netw. 6 (1) (2022)
Pengfei Jiao, Xuan Guo, Ting Pan, Wang Zhang, Yulong Pei, Lin Pan
A Survey on Role-Oriented Network Embedding. IEEE Trans. Big Data 8 (4) (2022)
Yinghui Wang, Wenjun Wang, Zixu Zhen, Qiyao Peng, Pengfei Jiao, Wei Liang, Minglai Shao, Yueheng Sun
Geometry interaction network alignment. Neurocomputing 501 (2022)
Xuan Guo, Pengfei Jiao, Ting Pan, Wang Zhang, Mengyu Jia, Danyang Shi, Wenjun Wang
Representation Learning on Heterostructures via Heterogeneous Anonymous Walks. CoRR (2022)
Qiyao Peng, Hongtao Liu, Yinghui Wang, Hongyan Xu, Pengfei Jiao, Minglai Shao, Wenjun Wang
Towards a Multi-View Attentive Matching for Personalized Expert Finding. WWW (2022)
Wenqing Wang, Pengfei Jiao, Han Liu, Xiao Ma, Zhuo Shang
Two-stage content based image retrieval using sparse representation and feature fusion. Multim. Tools Appl. 81 (12) (2022)
Dongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao, Zhiyong Feng
Block Modeling-Guided Graph Convolutional Neural Networks. AAAI (2022)
Hongtao Liu, Wenjun Wang, Hongyan Xu, Qiyao Peng, Pengfei Jiao, Yueheng Sun
Towards Personalized Review Generation with Gated Multi-source Fusion Network. DASFAA (3) (2022)
Junqi Chen, Huaming Wu, Ruidong Li, Pengfei Jiao
Green Parallel Online Offloading for DSCI-Type Tasks in IoT-Edge Systems. IEEE Trans. Ind. Informatics 18 (11) (2022)
Pengfei Jiao, Xuan Guo, Xin Jing, Dongxiao He, Huaming Wu, Shirui Pan, Maoguo Gong, Wenjun Wang
Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Ting Pan, Wenjun Wang, Minglai Shao, Yueheng Sun, Pengfei Jiao
Role-Oriented Dynamic Network Embedding. Big Data (2022)
Yulu Li, Wenjun Wang, Qiyao Peng, Hongtao Liu, Minglai Shao, Pengfei Jiao
Expertise-Oriented Explainable Question Routing. CollaborateCom (1) (2022)
Hongtao Liu, Wenjun Wang, Qiyao Peng, Nannan Wu, Fangzhao Wu, Pengfei Jiao
Toward Comprehensive User and Item Representations via Three-tier Attention Network. ACM Trans. Inf. Syst. 39 (3) (2021)
Xunxun Wu, Chang-Dong Wang, Pengfei Jiao
Hybrid-order Stochastic Block Model. AAAI (2021)
Xuan Guo, Qiang Tian, Wang Zhang, Wenjun Wang, Pengfei Jiao
Learning Stochastic Equivalence based on Discrete Ricci Curvature. IJCAI (2021)
Pengfei Jiao, Xuan Guo, Ting Pan, Wang Zhang, Yulong Pei
A Survey on Role-Oriented Network Embedding. CoRR (2021)
Pengfei Jiao, Ruili Lu, Di Jin, Yinghui Wang, Huaming Wu
An Effective and Robust Framework by Modeling Correlations of Multiplex Network Embedding. ICDM (2021)
Wang Zhang, Xuan Guo, Wenjun Wang, Qiang Tian, Lin Pan, Pengfei Jiao
Role-based network embedding via structural features reconstruction with degree-regularized constraint. Knowl. Based Syst. 218 (2021)
Wang Zhang, Yang Yu, Ting Pan, Lin Pan, Pengfei Jiao, Wenjun Wang
Generating Structural Node Representations via Higher-order Features and Adversarial Learning. ICDM (2021)
Qiang Tian, Lin Pan, Wang Zhang, Tianpeng Li, Huaming Wu, Pengfei Jiao, Wenjun Wang
Lower order information preserved network embedding based on non-negative matrix decomposition. Inf. Sci. 572 (2021)
Qiang Tian, Rui Wang, Shijie Li, Wenjun Wang, Ou Wu, Faming Li, Pengfei Jiao
College Students' Psychological Health Analysis Based on Multitask Gaussian Graphical Models. Complex. 2021 (2021)
Wang Zhang, Xuan Guo, Ting Pan, Chaochao Liu, Pengfei Jiao, Lin Pan, Wenjun Wang
Role-oriented Network Embedding Based on Adversarial Learning between Higher-order and Local Features. CIKM (2021)
Guanjin Qu, Huaming Wu, Ruidong Li, Pengfei Jiao
DMRO: A Deep Meta Reinforcement Learning-Based Task Offloading Framework for Edge-Cloud Computing. IEEE Trans. Netw. Serv. Manag. 18 (3) (2021)
Hongyan Xu, Hongtao Liu, Wang Zhang, Pengfei Jiao, Wenjun Wang
Rating-boosted abstractive review summarization with neural personalized generation. Knowl. Based Syst. 218 (2021)
Ruili Lu, Pengfei Jiao, Yinghui Wang, Huaming Wu, Xue Chen
Layer Information Similarity Concerned Network Embedding. Complex. 2021 (2021)
Hongyan Xu, Hongtao Liu, Pengfei Jiao, Wenjun Wang
Transformer Reasoning Network for Personalized Review Summarization. SIGIR (2021)
Huaming Wu, Katinka Wolter, Pengfei Jiao, Yingjun Deng, Yubin Zhao, Minxian Xu
EEDTO: An Energy-Efficient Dynamic Task Offloading Algorithm for Blockchain-Enabled IoT-Edge-Cloud Orchestrated Computing. IEEE Internet Things J. 8 (4) (2021)
Hongyan Xu, Hongtao Liu, Wenjun Wang, Pengfei Jiao
Neural Adversarial Review Summarization with Hierarchical Personalized Attention. DASFAA (2) (2021)
Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Philip S. Yu, Weixiong Zhang
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning. CoRR (2021)
Dongxiao He, Shuai Li, Di Jin, Pengfei Jiao, Yuxiao Huang
Self-Guided Community Detection on Networks with Missing Edges. IJCAI (2021)
Dongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao, Zhiyong Feng
Block Modeling-Guided Graph Convolutional Neural Networks. CoRR (2021)
Xiaoming Li, Guangquan Xu, Wei Yu, Pengfei Jiao, Xiangyu Song
Analysis of 5G academic Network based on graph representation learning method. CoRR (2021)
Xuan Guo, Wang Zhang, Wenjun Wang, Yang Yu, Yinghui Wang, Pengfei Jiao
Role-Oriented Graph Auto-encoder Guided by Structural Information. DASFAA (2) (2020)
Di Jin, Kunzeng Wang, Ge Zhang, Pengfei Jiao, Dongxiao He, Françoise Fogelman-Soulié, Xin Huang
Detecting Communities with Multiplex Semantics by Distinguishing Background, General, and Specialized Topics. IEEE Trans. Knowl. Data Eng. 32 (11) (2020)
Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Hongyu Shan, Weixiong Zhang
Modeling with Node Popularities for Autonomous Overlapping Community Detection. ACM Trans. Intell. Syst. Technol. 11 (3) (2020)
Pengfei Jiao, Minghu Tang, Hongtao Liu, Yaping Wang, Chunyu Lu, Huaming Wu
Variational autoencoder based bipartite network embedding by integrating local and global structure. Inf. Sci. 519 (2020)
Chaochao Liu, Wenjun Wang, Pengfei Jiao, Xue Chen, Yueheng Sun
Cascade modeling with multihead self-attention. IJCNN (2020)
Chaochao Liu, Wenjun Wang, Pengfei Jiao, Yueheng Sun, Xiaoming Li, Xue Chen
CPNSA: Cascade Prediction with Network Structure Attention. CollaborateCom (1) (2020)
Hongtao Liu, Yian Wang, Qiyao Peng, Fangzhao Wu, Lin Gan, Lin Pan, Pengfei Jiao
Hybrid neural recommendation with joint deep representation learning of ratings and reviews. Neurocomputing 374 (2020)
Hongtao Liu, Wenjun Wang, Hongyan Xu, Qiyao Peng, Pengfei Jiao
Neural Unified Review Recommendation with Cross Attention. SIGIR (2020)
Qiyao Peng, Hongtao Liu, Yang Yu, Hongyan Xu, Weidi Dai, Pengfei Jiao
Mutual Self Attention Recommendation with Gated Fusion Between Ratings and Reviews. DASFAA (3) (2020)
Qiang Tian, Wenjun Wang, Yingjie Xie, Huaming Wu, Pengfei Jiao, Lin Pan
A Unified Bayesian Model for Generalized Community Detection in Attribute Networks. Complex. 2020 (2020)
Hongyan Xu, Wenjun Wang, Hongtao Liu, Mengxuan Zhang, Qiang Tian, Pengfei Jiao
Key Nodes Cluster Augmented Embedding for Heterogeneous Information Networks. ICONIP (2) (2020)
Xiangeng Shen, Xiaoyang Liu, Pengfei Jiao
Research on the application of image processing in improving the reconnaissance efficiency of UAV. ACAI (2020)
Tianpeng Li, Wenjun Wang, Xunxun Wu, Huaming Wu, Pengfei Jiao, Yandong Yu
Exploring the transition behavior of nodes in temporal networks based on dynamic community detection. Future Gener. Comput. Syst. 107 (2020)
Hongtao Liu, Wenjun Wang, Huitong Chen, Wang Zhang, Qiyao Peng, Lin Pan, Pengfei Jiao
Hierarchical Multi-view Attention for Neural Review-Based Recommendation. NLPCC (2) (2020)
Shichong Zhang, Yinghui Wang, Wenjun Wang, Pengfei Jiao, Lin Pan
A Unified Bayesian Model of Community Detection in Attribute Networks with Power-Law Degree Distribution. CollaborateCom (2) (2020)
Hongyu Shan, Di Jin, Pengfei Jiao, Ziyang Liu, Bingyi Li, Yuxiao Huang
NF-VGA: Incorporating Normalizing Flows into Graph Variational Autoencoder for Embedding Attribute Networks. ICDM (2020)
Hongtao Liu, Peiyi Wang, Fangzhao Wu, Pengfei Jiao, Wenjun Wang, Xing Xie, Yueheng Sun
REET: Joint Relation Extraction and Entity Typing via Multi-task Learning. NLPCC (1) (2019)
Chunyu Lu, Pengfei Jiao, Hongtao Liu, Yaping Wang, Hongyan Xu, Wenjun Wang
SSNE: Status Signed Network Embedding. PAKDD (3) (2019)
Yuheng Sun, Xianchen Wang, Hongtao Liu, Wenjun Wang, Pengfei Jiao
Surrounding-Based Attention Networks for Aspect-Level Sentiment Classification. ICANN (4) (2019)
Xunxun Wu, Pengfei Jiao, Yaping Wang, Tianpeng Li, Wenjun Wang, Bo Wang
Dynamic Stochastic Block Model with Scale-Free Characteristic for Temporal Complex Networks. DASFAA (2) (2019)
Yaping Wang, Pengfei Jiao, Wenjun Wang, Chunyu Lu, Hongtao Liu, Bo Wang
Bipartite Network Embedding via Effective Integration of Explicit and Implicit Relations. DASFAA (1) (2019)
Wei Yu, Wenjun Wang, Pengfei Jiao, Huaming Wu, Yueheng Sun, Minghu Tang
Modeling the Local and Global Evolution Pattern of Community Structures for Dynamic Networks Analysis. IEEE Access 7 (2019)
Wei Yu, Wenjun Wang, Pengfei Jiao, Xuewei Li
Evolutionary clustering via graph regularized nonnegative matrix factorization for exploring temporal networks. Knowl. Based Syst. 167 (2019)
Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie
NRPA: Neural Recommendation with Personalized Attention. CoRR (2019)
Qiyao Peng, Peiyi Wang, Wenjun Wang, Hongtao Liu, Yueheng Sun, Pengfei Jiao
NRSA: Neural Recommendation with Summary-Aware Attention. KSEM (1) (2019)
Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie
NRPA: Neural Recommendation with Personalized Attention. SIGIR (2019)
Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Weixiong Zhang
Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks. IJCAI (2019)
Hongtao Liu, Yian Wang, Fangzhao Wu, Pengfei Jiao, Hongyan Xu, Xing Xie
REKER: Relation Extraction with Knowledge of Entity and Relation. NLPCC (2) (2019)
Hongyao Ke, Yinghui Wang, Xuan Guo, Lin Pan, Pengfei Jiao, Wenjun Wang, Xiaoping Yang
Deep Mutual Encode Model for Network Embedding From Structural Identity. IEEE Access 7 (2019)
Di Jin, Jiantao Huang, Pengfei Jiao, Liang Yang, Dongxiao He, Françoise Fogelman-Soulié, Yuxiao Huang
A Novel Generative Topic Embedding Model by Introducing Network Communities. WWW (2019)
Di Jin, Zhigang Li, Liang Yang, Dongxiao He, Pengfei Jiao, Lu Zhai
Adversarial Capsule Learning for Network Embedding. ICTAI (2019)
Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Hongyu Shan
Community Detection via Joint Graph Convolutional Network Embedding in Attribute Network. ICANN (Workshop) (2019)
Pengfei Jiao, Wenjun Wang, Di Jin
Constrained common cluster based model for community detection in temporal and multiplex networks. Neurocomputing 275 (2018)
Wenjun Wang, Xiao Liu, Pengfei Jiao, Xue Chen, Di Jin
A Unified Weakly Supervised Framework for Community Detection and Semantic Matching. PAKDD (3) (2018)
Pengfei Jiao, Wei Yu, Wenjun Wang, Xiaoming Li, Yueheng Sun
Exploring temporal community structure and constant evolutionary pattern hiding in dynamic networks. Neurocomputing 314 (2018)
Ge Zhang, Di Jin, Jian Gao, Pengfei Jiao, Françoise Fogelman-Soulié, Xin Huang
Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics. IJCAI (2018)
Hongyan Xu, Hongtao Liu, Wenjun Wang, Yueheng Sun, Pengfei Jiao
NE-FLGC: Network Embedding Based on Fusing Local (First-Order) and Global (Second-Order) Network Structure with Node Content. PAKDD (2) (2018)
Xue Chen, Wenjun Wang, Wei Yu, Pengfei Jiao, Yueheng Sun
Highlighting Link Prediction in Bipartite Networks via Structural Perturbation. IEEE Access 6 (2018)
Limengzi Yuan, Wenjun Wang, Pengfei Jiao, Di Jin, Wenxin Wei
Tracking and Detecting Dynamic Communities with Node Popularity Preservation. ICTAI (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Pengfei Jiao