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2020 – today
- 2024
[j50]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: 127016 (2024)- [j49]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: 120499 (2024) - [j48]Qing Bao, Ying Jiang, Wang Zhang, Pengfei Jiao, Jing Su:
Graph contrastive learning for source localization in social networks. Inf. Sci. 679: 121090 (2024) - [j47]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): 19 (2024) - [j46]Pengfei Jiao, Hongjiang Chen, Huijun Tang, Qing Bao, Long Zhang, Zhidong Zhao, Huaming Wu:
Contrastive representation learning on dynamic networks. Neural Networks 174: 106240 (2024) - [j45]Meiting Xue, Zian Zhou, Pengfei Jiao, Huijun Tang:
Fine-Tuned Personality Federated Learning for Graph Data. IEEE Trans. Big Data 10(3): 313-319 (2024) - [j44]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): 3118-3130 (2024) - [j43]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: 4272-4284 (2024) - [j42]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): 9538-9552 (2024) - [j41]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): 4923-4937 (2024) - [c49]Pengfei Jiao, Hongqian Chen, Qing Bao, Wang Zhang, Huaming Wu:
Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning. AAAI 2024: 8571-8581 - [c48]Pengfei Jiao, Yuanqi Liu, Yinghui Wang, Ge Zhang:
CINA: Curvature-Based Integrated Network Alignment with Hypergraph. ICDE 2024: 2709-2722 - [c47]Huijun Tang, Ming Du, Huaming Wu, Pengfei Jiao:
Link Topology-Adaptive Offloading Method On Vehicular Edge Computing. INFOCOM (Workshops) 2024: 1-2 - 2023
- [j40]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: 104929 (2023) - [j39]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): 105190 (2023) - [j38]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: 106970 (2023) - [j37]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: 111115 (2023) - [j36]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: 109818 (2023) - [j35]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): 365-378 (2023) - [j34]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): 7021-7033 (2023) - [j33]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): 1149-1170 (2023) - [j32]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): 12234-12248 (2023) - [j31]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): 8310-8323 (2023) - [c46]Yifan Lu, Zehao Liu, Mengzhou Gao, Pengfei Jiao:
Heterogeneous Link Prediction via Mutual Information Maximization Between Node Pairs. CICAI (1) 2023: 460-470 - [c45]Yefei Zhang, Zhidong Zhao, Yanjun Deng, Pengfei Jiao:
On Multi-Modal Fusion Learning in Pathological Diagnosis of Fetal Distress. HealthCom 2023: 119-124 - [c44]Zhihao Chen, Pengfei Jiao, Yinghui Wang, Huijun Tang, Jilin Zhang:
Enhancing Network Alignment through Multi-Scale Information Fusion. ICKG 2023: 200-208 - [c43]Hongjiang Chen, Pengfei Jiao, Huijun Tang, Huaming Wu:
Temporal Graph Representation Learning with Adaptive Augmentation Contrastive. ECML/PKDD (2) 2023: 683-699 - [i8]Hongjiang Chen, Pengfei Jiao, Huijun Tang, Huaming Wu:
Temporal Graph Representation Learning with Adaptive Augmentation Contrastive. CoRR abs/2311.03897 (2023) - [i7]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 abs/2311.10380 (2023) - 2022
- [j30]Yinghui Wang, Wenjun Wang, Zixu Zhen, Qiyao Peng, Pengfei Jiao, Wei Liang, Minglai Shao, Yueheng Sun:
Geometry interaction network alignment. Neurocomputing 501: 618-628 (2022) - [j29]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): 16621-16644 (2022) - [j28]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): 933-952 (2022) - [j27]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): 248-264 (2022) - [j26]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): 7955-7966 (2022) - [j25]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): 7400-7413 (2022) - [c42]Dongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao, Zhiyong Feng:
Block Modeling-Guided Graph Convolutional Neural Networks. AAAI 2022: 4022-4029 - [c41]Ting Pan, Wenjun Wang, Minglai Shao, Yueheng Sun, Pengfei Jiao:
Role-Oriented Dynamic Network Embedding. IEEE Big Data 2022: 1070-1079 - [c40]Yulu Li, Wenjun Wang, Qiyao Peng, Hongtao Liu, Minglai Shao, Pengfei Jiao:
Expertise-Oriented Explainable Question Routing. CollaborateCom (1) 2022: 41-57 - [c39]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: 322-330 - [c38]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: 2131-2140 - [i6]Xuan Guo, Pengfei Jiao, Ting Pan, Wang Zhang, Mengyu Jia, Danyang Shi, Wenjun Wang:
Representation Learning on Heterostructures via Heterogeneous Anonymous Walks. CoRR abs/2201.06972 (2022) - 2021
- [j24]Ruili Lu, Pengfei Jiao, Yinghui Wang, Huaming Wu, Xue Chen:
Layer Information Similarity Concerned Network Embedding. Complex. 2021: 2260488:1-2260488:10 (2021) - [j23]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: 5710459:1-5710459:17 (2021) - [j22]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): 2163-2176 (2021) - [j21]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: 43-56 (2021) - [j20]Hongyan Xu, Hongtao Liu, Wang Zhang, Pengfei Jiao, Wenjun Wang:
Rating-boosted abstractive review summarization with neural personalized generation. Knowl. Based Syst. 218: 106858 (2021) - [j19]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: 106872 (2021) - [j18]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): 3448-3459 (2021) - [j17]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): 25:1-25:22 (2021) - [c37]Xunxun Wu, Chang-Dong Wang, Pengfei Jiao:
Hybrid-order Stochastic Block Model. AAAI 2021: 4470-4477 - [c36]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: 3632-3636 - [c35]Hongyan Xu, Hongtao Liu, Wenjun Wang, Pengfei Jiao:
Neural Adversarial Review Summarization with Hierarchical Personalized Attention. DASFAA (2) 2021: 53-69 - [c34]Pengfei Jiao, Ruili Lu, Di Jin, Yinghui Wang, Huaming Wu:
An Effective and Robust Framework by Modeling Correlations of Multiplex Network Embedding. ICDM 2021: 1144-1149 - [c33]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: 1487-1492 - [c32]Xuan Guo, Qiang Tian, Wang Zhang, Wenjun Wang, Pengfei Jiao:
Learning Stochastic Equivalence based on Discrete Ricci Curvature. IJCAI 2021: 1456-1462 - [c31]Dongxiao He, Shuai Li, Di Jin, Pengfei Jiao, Yuxiao Huang:
Self-Guided Community Detection on Networks with Missing Edges. IJCAI 2021: 3508-3514 - [c30]Hongyan Xu, Hongtao Liu, Pengfei Jiao, Wenjun Wang:
Transformer Reasoning Network for Personalized Review Summarization. SIGIR 2021: 1452-1461 - [i5]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 abs/2101.01669 (2021) - [i4]Pengfei Jiao, Xuan Guo, Ting Pan, Wang Zhang, Yulong Pei:
A Survey on Role-Oriented Network Embedding. CoRR abs/2107.08379 (2021) - [i3]Xiaoming Li, Guangquan Xu, Wei Yu, Pengfei Jiao, Xiangyu Song:
Analysis of 5G academic Network based on graph representation learning method. CoRR abs/2111.08264 (2021) - [i2]Dongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao, Zhiyong Feng:
Block Modeling-Guided Graph Convolutional Neural Networks. CoRR abs/2112.13507 (2021) - 2020
- [j16]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: 5712815:1-5712815:15 (2020) - [j15]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: 458-468 (2020) - [j14]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: 77-85 (2020) - [j13]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: 9-21 (2020) - [j12]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): 27:1-27:23 (2020) - [j11]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): 2144-2158 (2020) - [c29]Xiangeng Shen, Xiaoyang Liu, Pengfei Jiao:
Research on the application of image processing in improving the reconnaissance efficiency of UAV. ACAI 2020: 66:1-66:5 - [c28]Chaochao Liu, Wenjun Wang, Pengfei Jiao, Yueheng Sun, Xiaoming Li, Xue Chen:
CPNSA: Cascade Prediction with Network Structure Attention. CollaborateCom (1) 2020: 64-79 - [c27]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: 518-529 - [c26]Xuan Guo, Wang Zhang, Wenjun Wang, Yang Yu, Yinghui Wang, Pengfei Jiao:
Role-Oriented Graph Auto-encoder Guided by Structural Information. DASFAA (2) 2020: 466-481 - [c25]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: 540-556 - [c24]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: 1244-1249 - [c23]Hongyan Xu, Wenjun Wang, Hongtao Liu, Mengxuan Zhang, Qiang Tian, Pengfei Jiao:
Key Nodes Cluster Augmented Embedding for Heterogeneous Information Networks. ICONIP (2) 2020: 499-511 - [c22]Chaochao Liu, Wenjun Wang, Pengfei Jiao, Xue Chen, Yueheng Sun:
Cascade modeling with multihead self-attention. IJCNN 2020: 1-8 - [c21]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: 267-278 - [c20]Hongtao Liu, Wenjun Wang, Hongyan Xu, Qiyao Peng, Pengfei Jiao:
Neural Unified Review Recommendation with Cross Attention. SIGIR 2020: 1789-1792
2010 – 2019
- 2019
- [j10]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: 71350-71360 (2019) - [j9]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: 177484-177496 (2019) - [j8]Wei Yu, Wenjun Wang, Pengfei Jiao, Xuewei Li:
Evolutionary clustering via graph regularized nonnegative matrix factorization for exploring temporal networks. Knowl. Based Syst. 167: 1-10 (2019) - [c19]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: 435-451 - [c18]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: 502-518 - [c17]Yueheng Sun, Xianchen Wang, Hongtao Liu, Wenjun Wang, Pengfei Jiao:
Surrounding-Based Attention Networks for Aspect-Level Sentiment Classification. ICANN (4) 2019: 143-155 - [c16]Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Hongyu Shan:
Community Detection via Joint Graph Convolutional Network Embedding in Attribute Network. ICANN (Workshop) 2019: 594-606 - [c15]Di Jin, Zhigang Li, Liang Yang, Dongxiao He, Pengfei Jiao, Lu Zhai:
Adversarial Capsule Learning for Network Embedding. ICTAI 2019: 214-221 - [c14]Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Weixiong Zhang:
Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks. IJCAI 2019: 2663-2669 - [c13]Qiyao Peng, Peiyi Wang, Wenjun Wang, Hongtao Liu, Yueheng Sun, Pengfei Jiao:
NRSA: Neural Recommendation with Summary-Aware Attention. KSEM (1) 2019: 128-140 - [c12]Hongtao Liu, Yian Wang, Fangzhao Wu, Pengfei Jiao, Hongyan Xu, Xing Xie:
REKER: Relation Extraction with Knowledge of Entity and Relation. NLPCC (2) 2019: 90-102 - [c11]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: 327-339 - [c10]Chunyu Lu, Pengfei Jiao, Hongtao Liu, Yaping Wang, Hongyan Xu, Wenjun Wang:
SSNE: Status Signed Network Embedding. PAKDD (3) 2019: 81-93 - [c9]Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie:
NRPA: Neural Recommendation with Personalized Attention. SIGIR 2019: 1233-1236 - [c8]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: 2886-2892 - [i1]Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie:
NRPA: Neural Recommendation with Personalized Attention. CoRR abs/1905.12480 (2019) - 2018
- [j7]Xue Chen, Wenjun Wang, Wei Yu, Pengfei Jiao, Yueheng Sun:
Highlighting Link Prediction in Bipartite Networks via Structural Perturbation. IEEE Access 6: 73583-73592 (2018) - [j6]Pengfei Jiao, Wenjun Wang, Di Jin:
Constrained common cluster based model for community detection in temporal and multiplex networks. Neurocomputing 275: 768-780 (2018) - [j5]Pengfei Jiao, Wei Yu, Wenjun Wang, Xiaoming Li, Yueheng Sun:
Exploring temporal community structure and constant evolutionary pattern hiding in dynamic networks. Neurocomputing 314: 224-233 (2018) - [c7]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: 3648-3654 - [c6]Wenjun Wang, Xiao Liu, Pengfei Jiao, Xue Chen, Di Jin:
A Unified Weakly Supervised Framework for Community Detection and Semantic Matching. PAKDD (3) 2018: 218-230 - [c5]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: 260-271 - 2017
- [j4]Xiao Liu, Wenjun Wang, Dongxiao He, Pengfei Jiao, Di Jin, Carlo Vittorio Cannistraci:
Semi-supervised community detection based on non-negative matrix factorization with node popularity. Inf. Sci. 381: 304-321 (2017) - [j3]Wenjun Wang, Yiding Feng, Pengfei Jiao, Wei Yu:
Kernel framework based on non-negative matrix factorization for networks reconstruction and link prediction. Knowl. Based Syst. 137: 104-114 (2017) - [j2]Wenjun Wang, Xiao-ming Li, Pengfei Jiao, Guangquan Xu, Ning Yuan, Wei Yu:
Exploring Intracity Taxi Mobility during the Holidays for Location-Based Marketing. Mob. Inf. Syst. 2017: 6310827:1-6310827:10 (2017) - [c4]Ruixin Song, Wenjun Wang, Pengfei Jiao, Kang Li, Jing Li:
Study of land evolution model driving by multi-attribute functional urban areas. ICSCA 2017: 272-276 - [c3]Limengzi Yuan, Wenjun Wang, Pengfei Jiao, Di Jin, Wenxin Wei:
Tracking and Detecting Dynamic Communities with Node Popularity Preservation. ICTAI 2017: 566-573 - 2016
- [j1]Wenjun Wang, Pengfei Jiao, Dongxiao He, Di Jin, Lin Pan, Bogdan Gabrys:
Autonomous overlapping community detection in temporal networks: A dynamic Bayesian nonnegative matrix factorization approach. Knowl. Based Syst. 110: 121-134 (2016) - [c2]Jian Li, Wenjun Wang, Pengfei Jiao, Haodong Lyu:
Comparative Statistical Analysis of Large-Scale Calling and SMS Network. ICSI (2) 2016: 349-357 - 2015
- [c1]Zhaoxian Wang, Wenjun Wang, Guixiang Xue, Pengfei Jiao, Xuewei Li:
Semi-supervised Community Detection Framework Based on Non-negative Factorization Using Individual Labels. ICSI (2) 2015: 349-359