Semi-supervised Community Detection Framework Based on Non-negative Factorization Using Individual Labels. - Zhaoxian Wang; Wenjun Wang 002; Guixiang Xue; Pengfei Jiao; Xuewei Li 001 (ICSI (2), 2015)

Comparative Statistical Analysis of Large-Scale Calling and SMS Network. - Jian Li; Wenjun Wang 002; Pengfei Jiao; Haodong Lyu (ICSI (2), 2016)

Autonomous overlapping community detection in temporal networks: A dynamic Bayesian nonnegative matrix factorization approach. - Wenjun Wang 002; Pengfei Jiao; Dongxiao He; Di Jin 001; Lin Pan 002; Bogdan Gabrys (Knowl. Based Syst., 2016)

Study of land evolution model driving by multi-attribute functional urban areas. - Ruixin Song; Wenjun Wang 002; Pengfei Jiao; Kang Li; Jing Li (ICSCA, 2017)

Tracking and Detecting Dynamic Communities with Node Popularity Preservation. - Limengzi Yuan; Wenjun Wang 002; Pengfei Jiao; Di Jin 001; Wenxin Wei (ICTAI, 2017)

Semi-supervised community detection based on non-negative matrix factorization with node popularity. - Xiao Liu; Wenjun Wang 002; Dongxiao He; Pengfei Jiao; Di Jin 001; Carlo Vittorio Cannistraci (Inf. Sci., 2017)

Kernel framework based on non-negative matrix factorization for networks reconstruction and link prediction. - Wenjun Wang 002; Yiding Feng; Pengfei Jiao; Wei Yu 016 (Knowl. Based Syst., 2017)

Exploring Intracity Taxi Mobility during the Holidays for Location-Based Marketing. - Wenjun Wang 002; Xiaoming Li 006; Pengfei Jiao; Guangquan Xu; Ning Yuan; Wei Yu 016 (Mob. Inf. Syst., 2017)

Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics. - Ge Zhang 002; Di Jin 001; Jian Gao; Pengfei Jiao; Françoise Fogelman-Soulié; Xin Huang 001 (IJCAI, 2018)

A Unified Weakly Supervised Framework for Community Detection and Semantic Matching. - Wenjun Wang 002; Xiao Liu; Pengfei Jiao; Xue Chen 005; Di Jin 001 (PAKDD (3), 2018)

NE-FLGC: Network Embedding Based on Fusing Local (First-Order) and Global (Second-Order) Network Structure with Node Content. - Hongyan Xu 001; Hongtao Liu; Wenjun Wang 002; Yueheng Sun; Pengfei Jiao (PAKDD (2), 2018)

Highlighting Link Prediction in Bipartite Networks via Structural Perturbation. - Xue Chen 005; Wenjun Wang 002; Wei Yu 016; Pengfei Jiao; Yueheng Sun (IEEE Access, 2018)

Constrained common cluster based model for community detection in temporal and multiplex networks. - Pengfei Jiao; Wenjun Wang 002; Di Jin 001 (Neurocomputing, 2018)

Exploring temporal community structure and constant evolutionary pattern hiding in dynamic networks. - Pengfei Jiao; Wei Yu 016; Wenjun Wang 002; Xiaoming Li 006; Yueheng Sun (Neurocomputing, 2018)

Bipartite Network Embedding via Effective Integration of Explicit and Implicit Relations. - Yaping Wang; Pengfei Jiao; Wenjun Wang 002; Chunyu Lu; Hongtao Liu; Bo Wang 011 (DASFAA (1), 2019)

Dynamic Stochastic Block Model with Scale-Free Characteristic for Temporal Complex Networks. - Xunxun Wu; Pengfei Jiao; Yaping Wang; Tianpeng Li; Wenjun Wang 002; Bo Wang 011 (DASFAA (2), 2019)

Community Detection via Joint Graph Convolutional Network Embedding in Attribute Network. - Di Jin 001; Bingyi Li; Pengfei Jiao; Dongxiao He; Hongyu Shan (ICANN (Workshop), 2019)

Surrounding-Based Attention Networks for Aspect-Level Sentiment Classification. - Yueheng Sun; Xianchen Wang; Hongtao Liu; Wenjun Wang 002; Pengfei Jiao (ICANN (4), 2019)

Adversarial Capsule Learning for Network Embedding. - Di Jin 001; Zhigang Li; Liang Yang 002; Dongxiao He; Pengfei Jiao; Lu Zhai (ICTAI, 2019)

Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks. - Di Jin 001; Bingyi Li; Pengfei Jiao; Dongxiao He; Weixiong Zhang (IJCAI, 2019)

NRSA: Neural Recommendation with Summary-Aware Attention. - Qiyao Peng 001; Peiyi Wang; Wenjun Wang 002; Hongtao Liu; Yueheng Sun; Pengfei Jiao (KSEM (1), 2019)

REET: Joint Relation Extraction and Entity Typing via Multi-task Learning. - Hongtao Liu; Peiyi Wang; Fangzhao Wu; Pengfei Jiao; Wenjun Wang 002; Xing Xie 001; Yueheng Sun (NLPCC (1), 2019)

REKER: Relation Extraction with Knowledge of Entity and Relation. - Hongtao Liu; Yian Wang 002; Fangzhao Wu; Pengfei Jiao; Hongyan Xu 001; Xing Xie 001 (NLPCC (2), 2019)

SSNE: Status Signed Network Embedding. - Chunyu Lu; Pengfei Jiao; Hongtao Liu; Yaping Wang; Hongyan Xu 001; Wenjun Wang 002 (PAKDD (3), 2019)

NRPA: Neural Recommendation with Personalized Attention. - Hongtao Liu; Fangzhao Wu; Wenjun Wang 002; Xianchen Wang; Pengfei Jiao; Chuhan Wu; Xing Xie 001 (SIGIR, 2019)

A Novel Generative Topic Embedding Model by Introducing Network Communities. - Di Jin 001; Jiantao Huang; Pengfei Jiao; Liang Yang 002; Dongxiao He; Françoise Fogelman-Soulié; Yuxiao Huang (WWW, 2019)

Deep Mutual Encode Model for Network Embedding From Structural Identity. - Hongyao Ke; Yinghui Wang; Xuan Guo; Lin Pan 002; Pengfei Jiao; Wenjun Wang 002; Xiaoping Yang (IEEE Access, 2019)

Modeling the Local and Global Evolution Pattern of Community Structures for Dynamic Networks Analysis. - Wei Yu 016; Wenjun Wang 002; Pengfei Jiao; Huaming Wu; Yueheng Sun; Minghu Tang (IEEE Access, 2019)

Evolutionary clustering via graph regularized nonnegative matrix factorization for exploring temporal networks. - Wei Yu 016; Wenjun Wang 002; Pengfei Jiao; Xuewei Li 001 (Knowl. Based Syst., 2019)

Research on the application of image processing in improving the reconnaissance efficiency of UAV. - Xiangeng Shen; Xiaoyang Liu; Pengfei Jiao (ACAI, 2020)

CPNSA: Cascade Prediction with Network Structure Attention. - Chaochao Liu; Wenjun Wang 002; Pengfei Jiao; Yueheng Sun; Xiaoming Li 006; Xue Chen 005 (CollaborateCom (1), 2020)

A Unified Bayesian Model of Community Detection in Attribute Networks with Power-Law Degree Distribution. - Shichong Zhang; Yinghui Wang; Wenjun Wang 002; Pengfei Jiao; Lin Pan 002 (CollaborateCom (2), 2020)

Role-Oriented Graph Auto-encoder Guided by Structural Information. - Xuan Guo; Wang Zhang 001; Wenjun Wang 002; Yang Yu 030; Yinghui Wang; Pengfei Jiao (DASFAA (2), 2020)

Mutual Self Attention Recommendation with Gated Fusion Between Ratings and Reviews. - Qiyao Peng 001; Hongtao Liu; Yang Yu 030; Hongyan Xu 001; Weidi Dai; Pengfei Jiao (DASFAA (3), 2020)

NF-VGA: Incorporating Normalizing Flows into Graph Variational Autoencoder for Embedding Attribute Networks. - Hongyu Shan; Di Jin 001; Pengfei Jiao; Ziyang Liu 004; Bingyi Li; Yuxiao Huang (ICDM, 2020)

Key Nodes Cluster Augmented Embedding for Heterogeneous Information Networks. - Hongyan Xu 001; Wenjun Wang 002; Hongtao Liu; Mengxuan Zhang 005; Qiang Tian; Pengfei Jiao (ICONIP (2), 2020)

Cascade modeling with multihead self-attention. - Chaochao Liu; Wenjun Wang 002; Pengfei Jiao; Xue Chen 005; Yueheng Sun (IJCNN, 2020)

Hierarchical Multi-view Attention for Neural Review-Based Recommendation. - Hongtao Liu; Wenjun Wang 002; Huitong Chen; Wang Zhang 001; Qiyao Peng 001; Lin Pan 002; Pengfei Jiao (NLPCC (2), 2020)

Neural Unified Review Recommendation with Cross Attention. - Hongtao Liu; Wenjun Wang 002; Hongyan Xu 001; Qiyao Peng 001; Pengfei Jiao (SIGIR, 2020)

A Unified Bayesian Model for Generalized Community Detection in Attribute Networks. - Qiang Tian; Wenjun Wang 002; Yingjie Xie; Huaming Wu; Pengfei Jiao; Lin Pan 002 (Complex., 2020)

Exploring the transition behavior of nodes in temporal networks based on dynamic community detection. - Tianpeng Li; Wenjun Wang 002; Xunxun Wu; Huaming Wu; Pengfei Jiao; Yandong Yu (Future Gener. Comput. Syst., 2020)

Hybrid neural recommendation with joint deep representation learning of ratings and reviews. - Hongtao Liu; Yian Wang 002; Qiyao Peng 001; Fangzhao Wu; Lin Gan; Lin Pan 002; Pengfei Jiao (Neurocomputing, 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)

Modeling with Node Popularities for Autonomous Overlapping Community Detection. - Di Jin 001; Bingyi Li; Pengfei Jiao; Dongxiao He; Hongyu Shan; Weixiong Zhang (ACM Trans. Intell. Syst. Technol., 2020)

Detecting Communities with Multiplex Semantics by Distinguishing Background, General, and Specialized Topics. - Di Jin 001; Kunzeng Wang; Ge Zhang 002; Pengfei Jiao; Dongxiao He; Françoise Fogelman-Soulié; Xin Huang 001 (IEEE Trans. Knowl. Data Eng., 2020)

Hybrid-order Stochastic Block Model. - Xunxun Wu; Chang-Dong Wang 001; Pengfei Jiao (AAAI, 2021)

Role-oriented Network Embedding Based on Adversarial Learning between Higher-order and Local Features. - Wang Zhang 001; Xuan Guo; Ting Pan; Chaochao Liu; Pengfei Jiao; Lin Pan 002; Wenjun Wang 002 (CIKM, 2021)

Neural Adversarial Review Summarization with Hierarchical Personalized Attention. - Hongyan Xu 001; Hongtao Liu; Wenjun Wang 002; Pengfei Jiao (DASFAA (2), 2021)

An Effective and Robust Framework by Modeling Correlations of Multiplex Network Embedding. - Pengfei Jiao; Ruili Lu; Di Jin 001; Yinghui Wang; Huaming Wu (ICDM, 2021)

Generating Structural Node Representations via Higher-order Features and Adversarial Learning. - Wang Zhang 001; Yang Yu 030; Ting Pan; Lin Pan 002; Pengfei Jiao; Wenjun Wang 002 (ICDM, 2021)

Learning Stochastic Equivalence based on Discrete Ricci Curvature. - Xuan Guo; Qiang Tian; Wang Zhang 001; Wenjun Wang 002; Pengfei Jiao (IJCAI, 2021)

Self-Guided Community Detection on Networks with Missing Edges. - Dongxiao He; Shuai Li; Di Jin 001; Pengfei Jiao; Yuxiao Huang (IJCAI, 2021)

Transformer Reasoning Network for Personalized Review Summarization. - Hongyan Xu 001; Hongtao Liu; Pengfei Jiao; Wenjun Wang 002 (SIGIR, 2021)

Layer Information Similarity Concerned Network Embedding. - Ruili Lu; Pengfei Jiao; Yinghui Wang; Huaming Wu; Xue Chen 005 (Complex., 2021)

College Students' Psychological Health Analysis Based on Multitask Gaussian Graphical Models. - Qiang Tian; Rui Wang; Shijie Li; Wenjun Wang 002; Ou Wu; Faming Li; Pengfei Jiao (Complex., 2021)

A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning. - Di Jin 001; Zhizhi Yu; Pengfei Jiao; Shirui Pan; Philip S. Yu; Weixiong Zhang (CoRR, 2021)

A Survey on Role-Oriented Network Embedding. - Pengfei Jiao; Xuan Guo; Ting Pan; Wang Zhang 001; Yulong Pei (CoRR, 2021)

Analysis of 5G academic Network based on graph representation learning method. - Xiaoming Li 006; Guangquan Xu; Wei Yu 016; Pengfei Jiao; Xiangyu Song (CoRR, 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)

Lower order information preserved network embedding based on non-negative matrix decomposition. - Qiang Tian; Lin Pan 002; Wang Zhang 001; Tianpeng Li; Huaming Wu; Pengfei Jiao; Wenjun Wang 002 (Inf. Sci., 2021)

Rating-boosted abstractive review summarization with neural personalized generation. - Hongyan Xu 001; Hongtao Liu; Wang Zhang 001; Pengfei Jiao; Wenjun Wang 002 (Knowl. Based Syst., 2021)

Role-based network embedding via structural features reconstruction with degree-regularized constraint. - Wang Zhang 001; Xuan Guo; Wenjun Wang 002; Qiang Tian; Lin Pan 002; Pengfei Jiao (Knowl. Based Syst., 2021)

DMRO: A Deep Meta Reinforcement Learning-Based Task Offloading Framework for Edge-Cloud Computing. - Guanjin Qu; Huaming Wu; Ruidong Li 001; Pengfei Jiao (IEEE Trans. Netw. Serv. Manag., 2021)

Toward Comprehensive User and Item Representations via Three-tier Attention Network. - Hongtao Liu; Wenjun Wang 002; Qiyao Peng 001; Nannan Wu; Fangzhao Wu; Pengfei Jiao (ACM Trans. Inf. Syst., 2021)

Block Modeling-Guided Graph Convolutional Neural Networks. - Dongxiao He; Chundong Liang; Huixin Liu; Mingxiang Wen; Pengfei Jiao; Zhiyong Feng 002 (AAAI, 2022)

Role-Oriented Dynamic Network Embedding. - Ting Pan; Wenjun Wang 002; Minglai Shao 001; Yueheng Sun; Pengfei Jiao (IEEE Big Data, 2022)

Expertise-Oriented Explainable Question Routing. - Yulu Li; Wenjun Wang 002; Qiyao Peng 001; Hongtao Liu; Minglai Shao 001; Pengfei Jiao (CollaborateCom (1), 2022)

Towards Personalized Review Generation with Gated Multi-source Fusion Network. - Hongtao Liu; Wenjun Wang 002; Hongyan Xu 001; Qiyao Peng 001; Pengfei Jiao; Yueheng Sun (DASFAA (3), 2022)

Towards a Multi-View Attentive Matching for Personalized Expert Finding. - Qiyao Peng 001; Hongtao Liu; Yinghui Wang; Hongyan Xu 001; Pengfei Jiao; Minglai Shao 001; Wenjun Wang 002 (WWW, 2022)

Geometry interaction network alignment. - Yinghui Wang; Wenjun Wang 002; Zixu Zhen; Qiyao Peng 001; Pengfei Jiao; Wei Liang; Minglai Shao 001; Yueheng Sun (Neurocomputing, 2022)

Two-stage content based image retrieval using sparse representation and feature fusion. - Wenqing Wang 001; Pengfei Jiao; Han Liu 007; Xiao Ma; Zhuo Shang (Multim. Tools Appl., 2022)

A Survey on Role-Oriented Network Embedding. - Pengfei Jiao; Xuan Guo; Ting Pan; Wang Zhang 001; Yulong Pei; Lin Pan 002 (IEEE Trans. Big Data, 2022)

EosDNN: An Efficient Offloading Scheme for DNN Inference Acceleration in Local-Edge-Cloud Collaborative Environments. - Min Xue; Huaming Wu; Ruidong Li 001; Minxian Xu; Pengfei Jiao (IEEE Trans. Green Commun. Netw., 2022)

Green Parallel Online Offloading for DSCI-Type Tasks in IoT-Edge Systems. - Junqi Chen 003; Huaming Wu; Ruidong Li 001; Pengfei Jiao (IEEE Trans. Ind. Informatics, 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 002 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Heterogeneous Link Prediction via Mutual Information Maximization Between Node Pairs. - Yifan Lu; Zehao Liu; Mengzhou Gao 001; Pengfei Jiao (CICAI (1), 2023)

On Multi-Modal Fusion Learning in Pathological Diagnosis of Fetal Distress. - Yefei Zhang; Zhidong Zhao; Yanjun Deng; Pengfei Jiao (HealthCom, 2023)

Enhancing Network Alignment through Multi-Scale Information Fusion. - Zhihao Chen; Pengfei Jiao; Yinghui Wang; Huijun Tang; Jilin Zhang (ICKG, 2023)

Temporal Graph Representation Learning with Adaptive Augmentation Contrastive. - Hongjiang Chen; Pengfei Jiao; Huijun Tang; Huaming Wu (ECML/PKDD (2), 2023)

MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for Improving Segmentation of Medical Image with Ambiguous Boundaries. - Shuai Wang 003; Tengjin Weng; Jingyi Wang; Yang Shen; Zhidong Zhao; Yixiu Liu; Pengfei Jiao; Zhiming Cheng; Yaqi Wang 002 (CoRR, 2023)

Role Discovery-Guided Network Embedding Based on Autoencoder and Attention Mechanism. - Pengfei Jiao; Qiang Tian; Wang Zhang 001; Xuan Guo; Di Jin 001; Huaming Wu (IEEE Trans. Cybern., 2023)

A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning. - Di Jin 001; Zhizhi Yu; Pengfei Jiao; Shirui Pan; Dongxiao He; Jia Wu 001; Philip S. Yu; Weixiong Zhang (IEEE Trans. Knowl. Data Eng., 2023)

Identifying fetal status with fetal heart rate: Deep learning approach based on long convolution. - Zhixin Zhou; Zhidong Zhao; Xianfei Zhang; Xiaohong Zhang 005; Pengfei Jiao; Xuanyu Ye (Comput. Biol. Medicine, 2023)

Improvement of accuracy and resilience in FHR classification via double trend accumulation encoding and attention mechanism. - Zhixin Zhou; Zhidong Zhao; Xiaohong Zhang 005; Xianfei Zhang; Pengfei Jiao (Biomed. Signal Process. Control., 2023)

DT-CTNet: A clinically interpretable diagnosis model for fetal distress. - Yefei Zhang; Yanjun Deng; Xianfei Zhang; Pengfei Jiao; Xiaohong Zhang 005; Zhidong Zhao (Biomed. Signal Process. Control., 2023)

Exploring Temporal Community Structure via Network Embedding. - Tianpeng Li; Wenjun Wang 002; Pengfei Jiao; Yinghui Wang; Ruomeng Ding; Huaming Wu; Lin Pan 002; Di Jin 001 (IEEE Trans. Cybern., 2023)

HB-DSBM: Modeling the Dynamic Complex Networks From Community Level to Node Level. - Pengfei Jiao; Tianpeng Li; Huaming Wu; Chang-Dong Wang 001; Dongxiao He; Wenjun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Role-oriented representation learning via fusioning local and higher-order feature. - Ming Du; Pengfei Jiao; Huijun Tang; Wang Zhang 001; Jian Wu (Knowl. Based Syst., 2023)

Neighborhood overlap-aware heterogeneous hypergraph neural network for link prediction. - Yifan Lu; Mengzhou Gao 001; Huan Liu; Zehao Liu; Wei Yu 016; Xiaoming Li 006; Pengfei Jiao (Pattern Recognit., 2023)

Generative Evolutionary Anomaly Detection in Dynamic Networks. - Pengfei Jiao; Tianpeng Li; Yingjie Xie; Yinghui Wang; Wenjun Wang 002; Dongxiao He; Huaming Wu (IEEE Trans. Knowl. Data Eng., 2023)

Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning. - Pengfei Jiao; Hongqian Chen; Qing Bao; Wang Zhang 001; Huaming Wu (AAAI, 2024)

WVRF_CGT: WVRF Automatic Filter Based Cascading Graph Transformer for Information Diffusion in Stock Q&A Platform. - Xiaobing Feng 005; Ling Feng; Pengfei Jiao; Zhiliang Zheng; Qing Bao (DSA, 2024)

CINA: Curvature-Based Integrated Network Alignment with Hypergraph. - Pengfei Jiao; Yuanqi Liu; Yinghui Wang; Ge Zhang 002 (ICDE, 2024)

Informative Subgraphs Aware Masked Auto-Encoder in Dynamic Graphs. - Pengfei Jiao; Xinxun Zhang; Mengzhou Gao 001; Tianpeng Li; Zhidong Zhao (ICDM, 2024)

Link Topology-Adaptive Offloading Method On Vehicular Edge Computing. - Huijun Tang; Ming Du; Huaming Wu; Pengfei Jiao (INFOCOM (Workshops), 2024)

Graph contrastive learning for source localization in social networks. - Qing Bao; Ying Jiang 004; Wang Zhang 001; Pengfei Jiao; Jing Su (Inf. Sci., 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 001; Tianpeng Li; Jian Wu (Inf. Sci., 2024)

Contrastive representation learning on dynamic networks. - Pengfei Jiao; Hongjiang Chen; Huijun Tang; Qing Bao; Long Zhang; Zhidong Zhao; Huaming Wu (Neural Networks, 2024)

VGGM: Variational Graph Gaussian Mixture Model for Unsupervised Change Point Detection in Dynamic Networks. - Xinxun Zhang; Pengfei Jiao; Mengzhou Gao 001; Tianpeng Li; Yiming Wu 001; Huaming Wu; Zhidong Zhao (IEEE Trans. Inf. Forensics Secur., 2024)

RD-GCN: A Role-Based Dynamic Graph Convolutional Network for Information Diffusion Prediction. - Jingkai Ye; Qing Bao; Ming Xu 001; Jian Xu 001; Hongjun Qiu; Pengfei Jiao (IEEE Trans. Netw. Sci. Eng., 2024)

Link prediction in bipartite networks via effective integration of explicit and implicit relations. - Xue Chen 005; Chaochao Liu; Xiaobo Li 004; Ying Sun 005; Wei Yu 016; Pengfei Jiao (Neurocomputing, 2024)

Fine-Tuned Personality Federated Learning for Graph Data. - Meiting Xue; Zian Zhou; Pengfei Jiao; Huijun Tang (IEEE Trans. Big Data, 2024)

Inductive Link Prediction via Interactive Learning Across Relations in Multiplex Networks. - Mengzhou Gao 001; Pengfei Jiao; Ruili Lu; Huaming Wu; Yinghui Wang; Zhidong Zhao (IEEE Trans. Comput. Soc. Syst., 2024)

Representation Learning on Heterostructures via Heterogeneous Anonymous Walks. - Xuan Guo; Pengfei Jiao; Wang Zhang 001; Ting Pan; Mengyu Jia; Danyang Shi; Wenjun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Filling of Fetal Heart Rate Signal: Diffusion Model Based on Dimension Construction and Period Segmentation. - Zhixin Zhou; Zhidong Zhao; Yefei Zhang; Yanjun Deng; Shuai Wang 003; Huaming Wu; Pengfei Jiao (IEEE Trans. Consumer Electron., 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 001; Jilin Zhang (IEEE Trans. Big Data, 2024)

GAGNN: Generative Adversarial Network and Graph Neural Network for Prognostic and Health Management. - Yuqi Yang; Liang Kou; Pengfei Jiao; Jilin Zhang; Chunyu Miao; Yun Lin 005 (IEEE Internet Things J., 2024)

Hybrid-FHR: a multi-modal AI approach for automated fetal acidosis diagnosis. - Zhidong Zhao; Jiawei Zhu; Pengfei Jiao; Jinpeng Wang; Xiaohong Zhang 005; Xinmiao Lu; Yefei Zhang (BMC Medical Informatics Decis. Mak., 2024)

Disentangled Representation Learning for Structural Role Discovery. - Wang Zhang 001; Lin Pan 002; Xuan Guo; Pengfei Jiao (IEEE Trans. Comput. Soc. Syst., 2024)

Lyapunov-Guided Offloading Optimization Based on Soft Actor-Critic for ISAC-Aided Internet of Vehicles. - Yonghui Liang; Huijun Tang; Huaming Wu; Yixiao Wang 002; Pengfei Jiao (IEEE Trans. Mob. Comput., 2024)

GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality. - Zehao Liu; Mengzhou Gao 001; Pengfei Jiao (AAAI, 2025)

HyperRole: Hyperbolic Graph Transformer for Role Discovery in Online Social Networks. - Huijun Tang; Ming Du; Pengfei Jiao; Huaming Wu; Zhidong Zhao (INFOCOM, 2025)

Optimisation of logistics management mode of blockchain logistics supply chain based on heuristic algorithm. - Chunxiang Guo 003; Pengfei Jiao (Int. J. Intell. Inf. Database Syst., 2025)

Learning accurate neighborhood- and self-information for higher-order relation prediction in Heterogeneous Information Networks. - Jie Li 087; Xuan Guo; Pengfei Jiao; Wenjun Wang 002 (Neurocomputing, 2025)

Counterfactual learning for higher-order relation prediction in heterogeneous information networks. - Xuan Guo; Jie Li 087; Pengfei Jiao; Wang Zhang 001; Tianpeng Li; Wenjun Wang 002 (Neural Networks, 2025)

Cascade Popularity Prediction: A Multi-View Learning Approach With Socialized Modeling. - Pengfei Jiao; Weijian Song; Yuling Wang; Wang Zhang 001; Hongqian Chen; Zhidong Zhao; Jian Wu (IEEE Trans. Netw. Sci. Eng., 2025)

GGAT: Gravitation-Based Graph Attention Networks. - Shujuan Wei; Huijun Tang; Pengfei Jiao; Huaming Wu (IEEE Trans. Signal Inf. Process. over Networks, 2025)

Multi-time-scale with clockwork recurrent neural network modeling for sequential recommendation. - Nana Huang; Hongwei Ding; Ruimin Hu; Pengfei Jiao; Zhidong Zhao; Bin Yang; Qi Zheng (J. Supercomput., 2025)

Data Poisoning in Deep Learning: A Survey. - Pinlong Zhao; Weiyao Zhu; Pengfei Jiao; Di Gao; Ou Wu (CoRR, 2025)

Combine the Growth of Cascades and Impact of Users for Diffusion Prediction. - Pengfei Jiao; Peng Yan; Jilin Zhang; Biao Wang; Wang Zhang 001; Nailiang Zhao (IEEE Trans. Big Data, 2025)

Accurate Network Alignment via Consistency in Node Evolution. - Qiyao Peng 001; Yinghui Wang; Pengfei Jiao; Huaming Wu; Wenjun Wang 002 (IEEE Trans. Big Data, 2025)

A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities. - Pengfei Jiao; Hongjiang Chen; Xuan Guo; Zhidong Zhao; Dongxiao He; Di Jin 001 (CoRR, 2025)

Learning Node Representations via Sketching the Generative Process With Events Benefits Link Prediction on Heterogeneous Networks. - Xuan Guo; Pengfei Jiao; Danyang Shi; Jie Li 087; Jinpeng Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Graph Contrastive Learning for Multi-Behavior Recommender System. - Zhidong Zhao; Jianing Liu; Nana Huang; Pengfei Jiao; Huaming Wu (IEEE Trans. Consumer Electron., 2025)

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands. - Huijun Tang; Jieling Zhang; Zhidong Zhao; Huaming Wu; Hongjian Sun; Pengfei Jiao (CoRR, 2025)

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model. - Yuling Wang; Zihui Chen; Pengfei Jiao; Xiao Wang (CoRR, 2025)

Heterogeneous Temporal Hypergraph Neural Network. - Huan Liu; Pengfei Jiao; Mengzhou Gao 001; Chaochao Chen; Di Jin 001 (CoRR, 2025)

Alleviate the Impact of Heterogeneity in Network Alignment From Community View. - Qiyao Peng 001; Yinghui Wang; Pengfei Jiao; Huaming Wu; Lin Pan 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

HGMP:Heterogeneous Graph Multi-Task Prompt Learning. - Pengfei Jiao; Jialong Ni; Di Jin 001; Xuan Guo; Huan Liu; Hongjiang Chen; Yanxian Bi (CoRR, 2025)

TGFormer: Towards temporal graph transformer with auto-correlation mechanism. - Hongjiang Chen; Pengfei Jiao; Ming Du; Xuan Guo; Zhidong Zhao; Di Jin 001; Xiao Liu (Pattern Recognit., 2026)