Pengfei Jiao

168 papers A* 28A 2B 4C 1Journal 102Unranked 31
YearRankTypeTitle / Venue / Authors
2026 A* conf
Can LLMs Fool Graph Learning? Exploring Universal Adversarial Attacks on Text-Attributed Graphs.
WWW
Zihui Chen, Yuling Wang, Pengfei Jiao, Kai Wu, Xiao Wang, Xiang Ao, Dalin Zhang
2026 J jnl
Can LLMs Fool Graph Learning? Exploring Universal Adversarial Attacks on Text-Attributed Graphs.
CoRR
Zihui Chen, Yuling Wang, Pengfei Jiao, Kai Wu, Xiao Wang, Xiang Ao, Dalin Zhang
2026 J jnl
GoAgent: Group-of-Agents Communication Topology Generation for LLM-based Multi-Agent Systems.
CoRR
Hongjiang Chen, Xin Zheng, Yixin Liu, Pengfei Jiao, Shiyuan Li, Huan Liu, Zhidong Zhao, Ziqi Xu, Ibrahim Khalil, Shirui Pan
2026 J jnl
Hypergraph-enhanced cascades prediction via text-informed learning.
Knowl. Based Syst.
Fangfang Su, Yingliang Wu, Dongdong Xie, Zhidong Zhao, Pengfei Jiao
2026 J jnl
Learning Subgraph-Based Normality for Interpretable Graph-Level Anomaly Detection.
IEEE Trans. Inf. Forensics Secur.
Ge Zhang, Zhenyu Yang, Jia Wu, Pengfei Jiao, Jian Yang, Hao Peng, Xixun Lin
2026 J jnl
MLGO: Multi-Layer graph neural ODEs for traffic forecasting.
Neural Networks
Mengzhou Gao, Huangqian Yu, Pengfei Jiao
2026 J jnl
Mining user features with hyperbolic representations for diffusion prediction.
Neural Networks
Pengfei Jiao, Peng Yan, Jilin Zhang, Zhidong Zhao, Fangfang Su, Wang Zhang
2026 J jnl
Multi-annotation agreement and prediction consistency networks: Improving semi-supervised segmentation of medical images with ambiguous boundaries.
Artif. Intell. Medicine
Shuai Wang, Tengjin Weng, Jingyi Wang, Kai Zhao, Yang Shen, Zhidong Zhao, Yixiu Liu, Pengfei Jiao, Zhiming Cheng, Yaoqi Sun, Yaqi Wang
2026 J jnl
TGFormer: Towards temporal graph transformer with auto-correlation mechanism.
Pattern Recognit.
Hongjiang Chen, Pengfei Jiao, Ming Du, Xuan Guo, Zhidong Zhao, Di Jin, Xiao Liu
2026 A* conf
Towards OOD Generalization in Dynamic Graphs via Causal Invariant Learning.
AAAI
Xinxun Zhang, Pengfei Jiao, Mengzhou Gao, Tianpeng Li, Xuan Guo
2026 J jnl
Towards OOD Generalization in Dynamic Graphs via Causal Invariant Learning.
CoRR
Xinxun Zhang, Pengfei Jiao, Mengzhou Gao, Tianpeng Li, Xuan Guo
2026 A* conf
Towards Robust Heterogeneous Graph Explanations under Structural Perturbations.
WWW
Yifan Lu, Pengfei Jiao, Xuan Guo, Ziyun Zou, Yiwei Wang, Mengzhou Gao, Huaming Wu, Imran Razzak
2026 A* conf
Unequal Vulnerability: The Differential Impact of Label Flipping Attacks Across Classes.
WWW
Pinlong Zhao, Mengyang Li, Pengfei Jiao, Huijun Tang, Ou Wu
2025 — conf
A Lyapunov-Guided Task Offloading Approach for Backscatter Communication Assisted Edge Computing.
INFOCOM WKSHPS
Huaming Wu, Junhui Du, Huijun Tang, Pengfei Jiao, Ruidong Li
2025 A* conf
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities.
IJCAI
Pengfei Jiao, Hongjiang Chen, Xuan Guo, Zhidong Zhao, Dongxiao He, Di Jin
2025 J jnl
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities.
CoRR
Pengfei Jiao, Hongjiang Chen, Xuan Guo, Zhidong Zhao, Dongxiao He, Di Jin
2025 J jnl
A time-series progressive generative adversarial network for improving imbalanced fetal heart rate signal classification.
Appl. Intell.
Yanjun Deng, Yefei Zhang, Hao Wang, Pengfei Jiao, Gang Li, Zhidong Zhao
2025 J jnl
A two-stage model for unified sentence- and document-level biomedical event extraction.
Eng. Appl. Artif. Intell.
Fangfang Su, Yue Zhang, Pengfei Jiao, Zhidong Zhao, Bobo Li, Fei Li, Donghong Ji
2025 J jnl
Accurate Network Alignment via Consistency in Node Evolution.
IEEE Trans. Big Data
Qiyao Peng, Yinghui Wang, Pengfei Jiao, Huaming Wu, Wenjun Wang
2025 J jnl
Alleviate the Impact of Heterogeneity in Network Alignment From Community View.
IEEE Trans. Neural Networks Learn. Syst.
Qiyao Peng, Yinghui Wang, Pengfei Jiao, Huaming Wu, Lin Pan
2025 J jnl
Cascade Popularity Prediction: A Multi-View Learning Approach With Socialized Modeling.
IEEE Trans. Netw. Sci. Eng.
Pengfei Jiao, Weijian Song, Yuling Wang, Wang Zhang, Hongqian Chen, Zhidong Zhao, Jian Wu
2025 J jnl
Combine the Growth of Cascades and Impact of Users for Diffusion Prediction.
IEEE Trans. Big Data
Pengfei Jiao, Peng Yan, Jilin Zhang, Biao Wang, Wang Zhang, Nailiang Zhao
2025 J jnl
Counterfactual learning for higher-order relation prediction in heterogeneous information networks.
Neural Networks
Xuan Guo, Jie Li, Pengfei Jiao, Wang Zhang, Tianpeng Li, Wenjun Wang
2025 J jnl
DVGMAE: Self-Supervised Dynamic Variational Graph Masked Autoencoder.
IEEE Trans. Neural Networks Learn. Syst.
Mengzhou Gao, Xinxun Zhang, Pengfei Jiao, Tianpeng Li, Zhidong Zhao
2025 J jnl
Data Poisoning in Deep Learning: A Survey.
CoRR
Pinlong Zhao, Weiyao Zhu, Pengfei Jiao, Di Gao, Ou Wu
2025 J jnl
EHGFL: Contrastive distillation for efficient heterogeneous graph few-shot learning.
Neurocomputing
Ning Ruan, Yufei Zeng, Huan Liu, Dong Liu, Pengfei Jiao
2025 J jnl
Enhancing Graph Neural Networks for Out-of-Distribution Graph Detection.
IEEE Trans. Neural Networks Learn. Syst.
Ge Zhang, Zhenyu Yang, Jia Wu, Pengfei Jiao, Jian Yang
2025 A* conf
FedCCH: Automatic Personalized Graph Federated Learning for Inter-Client and Intra-Client Heterogeneity.
IJCAI
Pengfei Jiao, Zian Zhou, Meiting Xue, Huijun Tang, Zhidong Zhao, Huaming Wu
2025 A* conf
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality.
AAAI
Zehao Liu, Mengzhou Gao, Pengfei Jiao
2025 J jnl
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality.
CoRR
Zehao Liu, Mengzhou Gao, Pengfei Jiao
2025 J jnl
GGAT: Gravitation-Based Graph Attention Networks.
IEEE Trans. Signal Inf. Process. over Networks
Shujuan Wei, Huijun Tang, Pengfei Jiao, Huaming Wu
2025 J jnl
Graph Contrastive Learning for Multi-Behavior Recommender System.
IEEE Trans. Consumer Electron.
Zhidong Zhao, Jianing Liu, Nana Huang, Pengfei Jiao, Huaming Wu
2025 J jnl
Graph Convolutional Reinforcement Learning-Guided Joint Trajectory Optimization and Task Offloading for Aerial Edge Computing.
IEEE Trans. Intell. Transp. Syst.
Huaming Wu, Lei Tian, Huijun Tang, Ruidong Li, Pengfei Jiao
2025 A conf
Gravity-GNN: Deep Reinforcement Learning Guided Space Gravity-based Graph Neural Network.
CIKM
Huaming Wu, Lei Tian, Chaogang Tang, Pengfei Jiao, Minxian Xu, Huijun Tang
2025 A* conf
HGMP: Heterogeneous Graph Multi-Task Prompt Learning.
IJCAI
Pengfei Jiao, Jialong Ni, Di Jin, Xuan Guo, Huan Liu, Hongjiang Chen, Yanxian Bi
2025 J jnl
HGMP:Heterogeneous Graph Multi-Task Prompt Learning.
CoRR
Pengfei Jiao, Jialong Ni, Di Jin, Xuan Guo, Huan Liu, Hongjiang Chen, Yanxian Bi
2025 J jnl
HeSRN: Representation Learning On Heterogeneous Graphs via Slot-Aware Retentive Network.
CoRR
Yifan Lu, Ziyun Zou, Belal Alsinglawi, Islam Al-Qudah, Izzat Alsmadi, Feilong Tang, Pengfei Jiao, Shoaib Jameel
2025 A* conf
HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model.
IJCAI
Yuling Wang, Zihui Chen, Pengfei Jiao, Xiao Wang
2025 J jnl
HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model.
CoRR
Yuling Wang, Zihui Chen, Pengfei Jiao, Xiao Wang
2025 — conf
Heartid: A Deep Learning Model for Biometrics Using Multimodal ECG and PPG Signals.
ICC
Bingxin Ruan, Zhidong Zhao, Yefei Zhang, Yanjun Deng, Gang Li, Pengfei Jiao, Xianfei Zhang
2025 A* conf
Heterogeneous Temporal Hypergraph Neural Network.
IJCAI
Huan Liu, Pengfei Jiao, Mengzhou Gao, Chaochao Chen, Di Jin
2025 J jnl
Heterogeneous Temporal Hypergraph Neural Network.
CoRR
Huan Liu, Pengfei Jiao, Mengzhou Gao, Chaochao Chen, Di Jin
2025 A* conf
HyperRole: Hyperbolic Graph Transformer for Role Discovery in Online Social Networks.
INFOCOM
Huijun Tang, Ming Du, Pengfei Jiao, Huaming Wu, Zhidong Zhao
2025 J jnl
Interactive Graph Learning for Multilevel Network Alignment.
IEEE Trans. Neural Networks Learn. Syst.
Pengfei Jiao, Yuanqi Liu, Yinghui Wang, Huijun Tang, Zhidong Zhao, Shirui Pan
2025 J jnl
Joint Optimization Based on Two-Phase GNN in RIS- and DF-Assisted MISO Systems With Fine-Grained Rate Demands.
IEEE Trans. Wirel. Commun.
Huijun Tang, Jieling Zhang, Zhidong Zhao, Huaming Wu, Hongjian Sun, Pengfei Jiao
2025 J jnl
Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands.
CoRR
Huijun Tang, Jieling Zhang, Zhidong Zhao, Huaming Wu, Hongjian Sun, Pengfei Jiao
2025 J jnl
Learning Node Representations via Sketching the Generative Process With Events Benefits Link Prediction on Heterogeneous Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Xuan Guo, Pengfei Jiao, Danyang Shi, Jie Li, Jinpeng Wang
2025 J jnl
Learning accurate neighborhood- and self-information for higher-order relation prediction in Heterogeneous Information Networks.
Neurocomputing
Jie Li, Xuan Guo, Pengfei Jiao, Wenjun Wang
2025 J jnl
Multi-time-scale with clockwork recurrent neural network modeling for sequential recommendation.
J. Supercomput.
Nana Huang, Hongwei Ding, Ruimin Hu, Pengfei Jiao, Zhidong Zhao, Bin Yang, Qi Zheng
2025 J jnl
Optimisation of logistics management mode of blockchain logistics supply chain based on heuristic algorithm.
Int. J. Intell. Inf. Database Syst.
Chunxiang Guo, Pengfei Jiao
2025 — conf
RIS-Assisted Beamforming Optimization Based on DNN in the UAV-ISAC System.
ICA3PP (5)
Zhiyu Liu, Jieling Zhang, Bin Yang, Pinlong Zhao, Pengfei Jiao, Zhidong Zhao, Huaming Wu
2025 J jnl
TLCO: Topological Link-Aware Task Co-Offloading Method for Joint V2V and V2I System.
IEEE Trans. Intell. Transp. Syst.
Huijun Tang, Ming Du, Huaming Wu, Pengfei Jiao, Ruidong Li
2025 J jnl
VariSAC: V2X Assured Connectivity in RIS-Aided ISAC via GNN-Augmented Reinforcement Learning.
CoRR
Huijun Tang, Wang Zeng, Ming Du, Pinlong Zhao, Pengfei Jiao, Huaming Wu, Hongjian Sun
2024 J jnl
A deep contrastive framework for unsupervised temporal link prediction in dynamic networks.
Inf. Sci.
Pengfei Jiao, Xinxun Zhang, Zehao Liu, Long Zhang, Huaming Wu, Mengzhou Gao, Tianpeng Li, Jian Wu
2024 A* conf
CINA: Curvature-Based Integrated Network Alignment with Hypergraph.
ICDE
Pengfei Jiao, Yuanqi Liu, Yinghui Wang, Ge Zhang
2024 J jnl
Contrastive representation learning on dynamic networks.
Neural Networks
Pengfei Jiao, Hongjiang Chen, Huijun Tang, Qing Bao, Long Zhang, Zhidong Zhao, Huaming Wu
2024 J jnl
Disentangled Representation Learning for Structural Role Discovery.
IEEE Trans. Comput. Soc. Syst.
Wang Zhang, Lin Pan, Xuan Guo, Pengfei Jiao
2024 A* conf
Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning.
AAAI
Pengfei Jiao, Hongqian Chen, Qing Bao, Wang Zhang, Huaming Wu
2024 J jnl
Filling of Fetal Heart Rate Signal: Diffusion Model Based on Dimension Construction and Period Segmentation.
IEEE Trans. Consumer Electron.
Zhixin Zhou, Zhidong Zhao, Yefei Zhang, Yanjun Deng, Shuai Wang, Huaming Wu, Pengfei Jiao
2024 J jnl
Fine-Tuned Personality Federated Learning for Graph Data.
IEEE Trans. Big Data
Meiting Xue, Zian Zhou, Pengfei Jiao, Huijun Tang
2024 J jnl
GAGNN: Generative Adversarial Network and Graph Neural Network for Prognostic and Health Management.
IEEE Internet Things J.
Yuqi Yang, Liang Kou, Pengfei Jiao, Jilin Zhang, Chunyu Miao, Yun Lin
2024 J jnl
Graph contrastive learning for source localization in social networks.
Inf. Sci.
Qing Bao, Ying Jiang, Wang Zhang, Pengfei Jiao, Jing Su
2024 J jnl
HGN2T: A Simple but Plug-and-Play Framework Extending HGNNs on Heterogeneous Temporal Graphs.
IEEE Trans. Big Data
Huan Liu, Pengfei Jiao, Xuan Guo, Huaming Wu, Mengzhou Gao, Jilin Zhang
2024 J jnl
Hybrid-FHR: a multi-modal AI approach for automated fetal acidosis diagnosis.
BMC Medical Informatics Decis. Mak.
Zhidong Zhao, Jiawei Zhu, Pengfei Jiao, Jinpeng Wang, Xiaohong Zhang, Xinmiao Lu, Yefei Zhang
2024 J jnl
Inductive Link Prediction via Interactive Learning Across Relations in Multiplex Networks.
IEEE Trans. Comput. Soc. Syst.
Mengzhou Gao, Pengfei Jiao, Ruili Lu, Huaming Wu, Yinghui Wang, Zhidong Zhao
2024 A* conf
Informative Subgraphs Aware Masked Auto-Encoder in Dynamic Graphs.
ICDM
Pengfei Jiao, Xinxun Zhang, Mengzhou Gao, Tianpeng Li, Zhidong Zhao
2024 J jnl
Informative Subgraphs Aware Masked Auto-Encoder in Dynamic Graphs.
CoRR
Pengfei Jiao, Xinxun Zhang, Mengzhou Gao, Tianpeng Li, Zhidong Zhao
2024 — conf
Link Topology-Adaptive Offloading Method On Vehicular Edge Computing.
INFOCOM (Workshops)
Huijun Tang, Ming Du, Huaming Wu, Pengfei Jiao
2024 J jnl
Link prediction in bipartite networks via effective integration of explicit and implicit relations.
Neurocomputing
Xue Chen, Chaochao Liu, Xiaobo Li, Ying Sun, Wei Yu, Pengfei Jiao
2024 J jnl
Lyapunov-Guided Offloading Optimization Based on Soft Actor-Critic for ISAC-Aided Internet of Vehicles.
IEEE Trans. Mob. Comput.
Yonghui Liang, Huijun Tang, Huaming Wu, Yixiao Wang, Pengfei Jiao
2024 J jnl
RD-GCN: A Role-Based Dynamic Graph Convolutional Network for Information Diffusion Prediction.
IEEE Trans. Netw. Sci. Eng.
Jingkai Ye, Qing Bao, Ming Xu, Jian Xu, Hongjun Qiu, Pengfei Jiao
2024 J jnl
Representation Learning on Heterostructures via Heterogeneous Anonymous Walks.
IEEE Trans. Neural Networks Learn. Syst.
Xuan Guo, Pengfei Jiao, Wang Zhang, Ting Pan, Mengyu Jia, Danyang Shi, Wenjun Wang
2024 J jnl
VGGM: Variational Graph Gaussian Mixture Model for Unsupervised Change Point Detection in Dynamic Networks.
IEEE Trans. Inf. Forensics Secur.
Xinxun Zhang, Pengfei Jiao, Mengzhou Gao, Tianpeng Li, Yiming Wu, Huaming Wu, Zhidong Zhao
2024 — conf
WVRF_CGT: WVRF Automatic Filter Based Cascading Graph Transformer for Information Diffusion in Stock Q&A Platform.
DSA
Xiaobing Feng, Ling Feng, Pengfei Jiao, Zhiliang Zheng, Qing Bao
2023 J jnl
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning.
IEEE Trans. Knowl. Data Eng.
Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Dongxiao He, Jia Wu, Philip S. Yu, Weixiong Zhang
2023 J jnl
DT-CTNet: A clinically interpretable diagnosis model for fetal distress.
Biomed. Signal Process. Control.
Yefei Zhang, Yanjun Deng, Xianfei Zhang, Pengfei Jiao, Xiaohong Zhang, Zhidong Zhao
2023 — conf
Enhancing Network Alignment through Multi-Scale Information Fusion.
ICKG
Zhihao Chen, Pengfei Jiao, Yinghui Wang, Huijun Tang, Jilin Zhang
2023 J jnl
Exploring Temporal Community Structure via Network Embedding.
IEEE Trans. Cybern.
Tianpeng Li, Wenjun Wang, Pengfei Jiao, Yinghui Wang, Ruomeng Ding, Huaming Wu, Lin Pan, Di Jin
2023 J jnl
Generative Evolutionary Anomaly Detection in Dynamic Networks.
IEEE Trans. Knowl. Data Eng.
Pengfei Jiao, Tianpeng Li, Yingjie Xie, Yinghui Wang, Wenjun Wang, Dongxiao He, Huaming Wu
2023 J jnl
HB-DSBM: Modeling the Dynamic Complex Networks From Community Level to Node Level.
IEEE Trans. Neural Networks Learn. Syst.
Pengfei Jiao, Tianpeng Li, Huaming Wu, Chang-Dong Wang, Dongxiao He, Wenjun Wang
2023 — conf
Heterogeneous Link Prediction via Mutual Information Maximization Between Node Pairs.
CICAI (1)
Yifan Lu, Zehao Liu, Mengzhou Gao, Pengfei Jiao
2023 J jnl
Identifying fetal status with fetal heart rate: Deep learning approach based on long convolution.
Comput. Biol. Medicine
Zhixin Zhou, Zhidong Zhao, Xianfei Zhang, Xiaohong Zhang, Pengfei Jiao, Xuanyu Ye
2023 J jnl
Improvement of accuracy and resilience in FHR classification via double trend accumulation encoding and attention mechanism.
Biomed. Signal Process. Control.
Zhixin Zhou, Zhidong Zhao, Xiaohong Zhang, Xianfei Zhang, Pengfei Jiao
2023 J jnl
MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for Improving Segmentation of Medical Image with Ambiguous Boundaries.
CoRR
Shuai Wang, Tengjin Weng, Jingyi Wang, Yang Shen, Zhidong Zhao, Yixiu Liu, Pengfei Jiao, Zhiming Cheng, Yaqi Wang
2023 J jnl
Neighborhood overlap-aware heterogeneous hypergraph neural network for link prediction.
Pattern Recognit.
Yifan Lu, Mengzhou Gao, Huan Liu, Zehao Liu, Wei Yu, Xiaoming Li, Pengfei Jiao
2023 C conf
On Multi-Modal Fusion Learning in Pathological Diagnosis of Fetal Distress.
HealthCom
Yefei Zhang, Zhidong Zhao, Yanjun Deng, Pengfei Jiao
2023 J jnl
Role Discovery-Guided Network Embedding Based on Autoencoder and Attention Mechanism.
IEEE Trans. Cybern.
Pengfei Jiao, Qiang Tian, Wang Zhang, Xuan Guo, Di Jin, Huaming Wu
2023 J jnl
Role-oriented representation learning via fusioning local and higher-order feature.
Knowl. Based Syst.
Ming Du, Pengfei Jiao, Huijun Tang, Wang Zhang, Jian Wu
2023 — conf
Temporal Graph Representation Learning with Adaptive Augmentation Contrastive.
ECML/PKDD (2)
Hongjiang Chen, Pengfei Jiao, Huijun Tang, Huaming Wu
2023 J jnl
Temporal Graph Representation Learning with Adaptive Augmentation Contrastive.
CoRR
Hongjiang Chen, Pengfei Jiao, Huijun Tang, Huaming Wu
2022 J jnl
A Survey on Role-Oriented Network Embedding.
IEEE Trans. Big Data
Pengfei Jiao, Xuan Guo, Ting Pan, Wang Zhang, Yulong Pei, Lin Pan
2022 A* conf
Block Modeling-Guided Graph Convolutional Neural Networks.
AAAI
Dongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao, Zhiyong Feng
2022 J jnl
EosDNN: An Efficient Offloading Scheme for DNN Inference Acceleration in Local-Edge-Cloud Collaborative Environments.
IEEE Trans. Green Commun. Netw.
Min Xue, Huaming Wu, Ruidong Li, Minxian Xu, Pengfei Jiao
2022 — conf
Expertise-Oriented Explainable Question Routing.
CollaborateCom (1)
Yulu Li, Wenjun Wang, Qiyao Peng, Hongtao Liu, Minglai Shao, Pengfei Jiao
2022 J jnl
Geometry interaction network alignment.
Neurocomputing
Yinghui Wang, Wenjun Wang, Zixu Zhen, Qiyao Peng, Pengfei Jiao, Wei Liang, Minglai Shao, Yueheng Sun
2022 J jnl
Green Parallel Online Offloading for DSCI-Type Tasks in IoT-Edge Systems.
IEEE Trans. Ind. Informatics
Junqi Chen, Huaming Wu, Ruidong Li, Pengfei Jiao
2022 J jnl
Representation Learning on Heterostructures via Heterogeneous Anonymous Walks.
CoRR
Xuan Guo, Pengfei Jiao, Ting Pan, Wang Zhang, Mengyu Jia, Danyang Shi, Wenjun Wang
2022 B conf
Role-Oriented Dynamic Network Embedding.
IEEE Big Data
Ting Pan, Wenjun Wang, Minglai Shao, Yueheng Sun, Pengfei Jiao
2022 J jnl
Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism.
IEEE Trans. Neural Networks Learn. Syst.
Pengfei Jiao, Xuan Guo, Xin Jing, Dongxiao He, Huaming Wu, Shirui Pan, Maoguo Gong, Wenjun Wang
2022 — conf
Towards Personalized Review Generation with Gated Multi-source Fusion Network.
DASFAA (3)
Hongtao Liu, Wenjun Wang, Hongyan Xu, Qiyao Peng, Pengfei Jiao, Yueheng Sun
2022 A* conf
Towards a Multi-View Attentive Matching for Personalized Expert Finding.
WWW
Qiyao Peng, Hongtao Liu, Yinghui Wang, Hongyan Xu, Pengfei Jiao, Minglai Shao, Wenjun Wang
2022 J jnl
Two-stage content based image retrieval using sparse representation and feature fusion.
Multim. Tools Appl.
Wenqing Wang, Pengfei Jiao, Han Liu, Xiao Ma, Zhuo Shang
2021 J jnl
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning.
CoRR
Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Philip S. Yu, Weixiong Zhang
2021 J jnl
A Survey on Role-Oriented Network Embedding.
CoRR
Pengfei Jiao, Xuan Guo, Ting Pan, Wang Zhang, Yulong Pei
2021 A* conf
An Effective and Robust Framework by Modeling Correlations of Multiplex Network Embedding.
ICDM
Pengfei Jiao, Ruili Lu, Di Jin, Yinghui Wang, Huaming Wu
2021 J jnl
Analysis of 5G academic Network based on graph representation learning method.
CoRR
Xiaoming Li, Guangquan Xu, Wei Yu, Pengfei Jiao, Xiangyu Song
2021 J jnl
Block Modeling-Guided Graph Convolutional Neural Networks.
CoRR
Dongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao, Zhiyong Feng
2021 J jnl
College Students' Psychological Health Analysis Based on Multitask Gaussian Graphical Models.
Complex.
Qiang Tian, Rui Wang, Shijie Li, Wenjun Wang, Ou Wu, Faming Li, Pengfei Jiao
2021 J jnl
DMRO: A Deep Meta Reinforcement Learning-Based Task Offloading Framework for Edge-Cloud Computing.
IEEE Trans. Netw. Serv. Manag.
Guanjin Qu, Huaming Wu, Ruidong Li, Pengfei Jiao
2021 J jnl
EEDTO: An Energy-Efficient Dynamic Task Offloading Algorithm for Blockchain-Enabled IoT-Edge-Cloud Orchestrated Computing.
IEEE Internet Things J.
Huaming Wu, Katinka Wolter, Pengfei Jiao, Yingjun Deng, Yubin Zhao, Minxian Xu
2021 A* conf
Generating Structural Node Representations via Higher-order Features and Adversarial Learning.
ICDM
Wang Zhang, Yang Yu, Ting Pan, Lin Pan, Pengfei Jiao, Wenjun Wang
2021 A* conf
Hybrid-order Stochastic Block Model.
AAAI
Xunxun Wu, Chang-Dong Wang, Pengfei Jiao
2021 J jnl
Layer Information Similarity Concerned Network Embedding.
Complex.
Ruili Lu, Pengfei Jiao, Yinghui Wang, Huaming Wu, Xue Chen
2021 A* conf
Learning Stochastic Equivalence based on Discrete Ricci Curvature.
IJCAI
Xuan Guo, Qiang Tian, Wang Zhang, Wenjun Wang, Pengfei Jiao
2021 J jnl
Lower order information preserved network embedding based on non-negative matrix decomposition.
Inf. Sci.
Qiang Tian, Lin Pan, Wang Zhang, Tianpeng Li, Huaming Wu, Pengfei Jiao, Wenjun Wang
2021 — conf
Neural Adversarial Review Summarization with Hierarchical Personalized Attention.
DASFAA (2)
Hongyan Xu, Hongtao Liu, Wenjun Wang, Pengfei Jiao
2021 J jnl
Rating-boosted abstractive review summarization with neural personalized generation.
Knowl. Based Syst.
Hongyan Xu, Hongtao Liu, Wang Zhang, Pengfei Jiao, Wenjun Wang
2021 J jnl
Role-based network embedding via structural features reconstruction with degree-regularized constraint.
Knowl. Based Syst.
Wang Zhang, Xuan Guo, Wenjun Wang, Qiang Tian, Lin Pan, Pengfei Jiao
2021 A conf
Role-oriented Network Embedding Based on Adversarial Learning between Higher-order and Local Features.
CIKM
Wang Zhang, Xuan Guo, Ting Pan, Chaochao Liu, Pengfei Jiao, Lin Pan, Wenjun Wang
2021 A* conf
Self-Guided Community Detection on Networks with Missing Edges.
IJCAI
Dongxiao He, Shuai Li, Di Jin, Pengfei Jiao, Yuxiao Huang
2021 J jnl
Toward Comprehensive User and Item Representations via Three-tier Attention Network.
ACM Trans. Inf. Syst.
Hongtao Liu, Wenjun Wang, Qiyao Peng, Nannan Wu, Fangzhao Wu, Pengfei Jiao
2021 A* conf
Transformer Reasoning Network for Personalized Review Summarization.
SIGIR
Hongyan Xu, Hongtao Liu, Pengfei Jiao, Wenjun Wang
2020 J jnl
A Unified Bayesian Model for Generalized Community Detection in Attribute Networks.
Complex.
Qiang Tian, Wenjun Wang, Yingjie Xie, Huaming Wu, Pengfei Jiao, Lin Pan
2020 — conf
A Unified Bayesian Model of Community Detection in Attribute Networks with Power-Law Degree Distribution.
CollaborateCom (2)
Shichong Zhang, Yinghui Wang, Wenjun Wang, Pengfei Jiao, Lin Pan
2020 — conf
CPNSA: Cascade Prediction with Network Structure Attention.
CollaborateCom (1)
Chaochao Liu, Wenjun Wang, Pengfei Jiao, Yueheng Sun, Xiaoming Li, Xue Chen
2020 B conf
Cascade modeling with multihead self-attention.
IJCNN
Chaochao Liu, Wenjun Wang, Pengfei Jiao, Xue Chen, Yueheng Sun
2020 J jnl
Detecting Communities with Multiplex Semantics by Distinguishing Background, General, and Specialized Topics.
IEEE Trans. Knowl. Data Eng.
Di Jin, Kunzeng Wang, Ge Zhang, Pengfei Jiao, Dongxiao He, Françoise Fogelman-Soulié, Xin Huang
2020 J jnl
Exploring the transition behavior of nodes in temporal networks based on dynamic community detection.
Future Gener. Comput. Syst.
Tianpeng Li, Wenjun Wang, Xunxun Wu, Huaming Wu, Pengfei Jiao, Yandong Yu
2020 — conf
Hierarchical Multi-view Attention for Neural Review-Based Recommendation.
NLPCC (2)
Hongtao Liu, Wenjun Wang, Huitong Chen, Wang Zhang, Qiyao Peng, Lin Pan, Pengfei Jiao
2020 J jnl
Hybrid neural recommendation with joint deep representation learning of ratings and reviews.
Neurocomputing
Hongtao Liu, Yian Wang, Qiyao Peng, Fangzhao Wu, Lin Gan, Lin Pan, Pengfei Jiao
2020 — conf
Key Nodes Cluster Augmented Embedding for Heterogeneous Information Networks.
ICONIP (2)
Hongyan Xu, Wenjun Wang, Hongtao Liu, Mengxuan Zhang, Qiang Tian, Pengfei Jiao
2020 J jnl
Modeling with Node Popularities for Autonomous Overlapping Community Detection.
ACM Trans. Intell. Syst. Technol.
Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Hongyu Shan, Weixiong Zhang
2020 — conf
Mutual Self Attention Recommendation with Gated Fusion Between Ratings and Reviews.
DASFAA (3)
Qiyao Peng, Hongtao Liu, Yang Yu, Hongyan Xu, Weidi Dai, Pengfei Jiao
2020 A* conf
NF-VGA: Incorporating Normalizing Flows into Graph Variational Autoencoder for Embedding Attribute Networks.
ICDM
Hongyu Shan, Di Jin, Pengfei Jiao, Ziyang Liu, Bingyi Li, Yuxiao Huang
2020 A* conf
Neural Unified Review Recommendation with Cross Attention.
SIGIR
Hongtao Liu, Wenjun Wang, Hongyan Xu, Qiyao Peng, Pengfei Jiao
2020 — conf
Research on the application of image processing in improving the reconnaissance efficiency of UAV.
ACAI
Xiangeng Shen, Xiaoyang Liu, Pengfei Jiao
2020 — conf
Role-Oriented Graph Auto-encoder Guided by Structural Information.
DASFAA (2)
Xuan Guo, Wang Zhang, Wenjun Wang, Yang Yu, Yinghui Wang, Pengfei Jiao
2020 J jnl
Variational autoencoder based bipartite network embedding by integrating local and global structure.
Inf. Sci.
Pengfei Jiao, Minghu Tang, Hongtao Liu, Yaping Wang, Chunyu Lu, Huaming Wu
2019 A* conf
A Novel Generative Topic Embedding Model by Introducing Network Communities.
WWW
Di Jin, Jiantao Huang, Pengfei Jiao, Liang Yang, Dongxiao He, Françoise Fogelman-Soulié, Yuxiao Huang
2019 B conf
Adversarial Capsule Learning for Network Embedding.
ICTAI
Di Jin, Zhigang Li, Liang Yang, Dongxiao He, Pengfei Jiao, Lu Zhai
2019 — conf
Bipartite Network Embedding via Effective Integration of Explicit and Implicit Relations.
DASFAA (1)
Yaping Wang, Pengfei Jiao, Wenjun Wang, Chunyu Lu, Hongtao Liu, Bo Wang
2019 — conf
Community Detection via Joint Graph Convolutional Network Embedding in Attribute Network.
ICANN (Workshop)
Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Hongyu Shan
2019 J jnl
Deep Mutual Encode Model for Network Embedding From Structural Identity.
IEEE Access
Hongyao Ke, Yinghui Wang, Xuan Guo, Lin Pan, Pengfei Jiao, Wenjun Wang, Xiaoping Yang
2019 — conf
Dynamic Stochastic Block Model with Scale-Free Characteristic for Temporal Complex Networks.
DASFAA (2)
Xunxun Wu, Pengfei Jiao, Yaping Wang, Tianpeng Li, Wenjun Wang, Bo Wang
2019 J jnl
Evolutionary clustering via graph regularized nonnegative matrix factorization for exploring temporal networks.
Knowl. Based Syst.
Wei Yu, Wenjun Wang, Pengfei Jiao, Xuewei Li
2019 J jnl
Modeling the Local and Global Evolution Pattern of Community Structures for Dynamic Networks Analysis.
IEEE Access
Wei Yu, Wenjun Wang, Pengfei Jiao, Huaming Wu, Yueheng Sun, Minghu Tang
2019 A* conf
NRPA: Neural Recommendation with Personalized Attention.
SIGIR
Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie
2019 J jnl
NRPA: Neural Recommendation with Personalized Attention.
CoRR
Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie
2019 — conf
NRSA: Neural Recommendation with Summary-Aware Attention.
KSEM (1)
Qiyao Peng, Peiyi Wang, Wenjun Wang, Hongtao Liu, Yueheng Sun, Pengfei Jiao
2019 A* conf
Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks.
IJCAI
Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Weixiong Zhang
2019 — conf
REET: Joint Relation Extraction and Entity Typing via Multi-task Learning.
NLPCC (1)
Hongtao Liu, Peiyi Wang, Fangzhao Wu, Pengfei Jiao, Wenjun Wang, Xing Xie, Yueheng Sun
2019 — conf
REKER: Relation Extraction with Knowledge of Entity and Relation.
NLPCC (2)
Hongtao Liu, Yian Wang, Fangzhao Wu, Pengfei Jiao, Hongyan Xu, Xing Xie
2019 — conf
SSNE: Status Signed Network Embedding.
PAKDD (3)
Chunyu Lu, Pengfei Jiao, Hongtao Liu, Yaping Wang, Hongyan Xu, Wenjun Wang
2019 — conf
Surrounding-Based Attention Networks for Aspect-Level Sentiment Classification.
ICANN (4)
Yueheng Sun, Xianchen Wang, Hongtao Liu, Wenjun Wang, Pengfei Jiao
2018 — conf
A Unified Weakly Supervised Framework for Community Detection and Semantic Matching.
PAKDD (3)
Wenjun Wang, Xiao Liu, Pengfei Jiao, Xue Chen, Di Jin
2018 J jnl
Constrained common cluster based model for community detection in temporal and multiplex networks.
Neurocomputing
Pengfei Jiao, Wenjun Wang, Di Jin
2018 J jnl
Exploring temporal community structure and constant evolutionary pattern hiding in dynamic networks.
Neurocomputing
Pengfei Jiao, Wei Yu, Wenjun Wang, Xiaoming Li, Yueheng Sun
2018 A* conf
Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics.
IJCAI
Ge Zhang, Di Jin, Jian Gao, Pengfei Jiao, Françoise Fogelman-Soulié, Xin Huang
2018 J jnl
Highlighting Link Prediction in Bipartite Networks via Structural Perturbation.
IEEE Access
Xue Chen, Wenjun Wang, Wei Yu, Pengfei Jiao, Yueheng Sun
2018 — conf
NE-FLGC: Network Embedding Based on Fusing Local (First-Order) and Global (Second-Order) Network Structure with Node Content.
PAKDD (2)
Hongyan Xu, Hongtao Liu, Wenjun Wang, Yueheng Sun, Pengfei Jiao
2017 J jnl
Exploring Intracity Taxi Mobility during the Holidays for Location-Based Marketing.
Mob. Inf. Syst.
Wenjun Wang, Xiaoming Li, Pengfei Jiao, Guangquan Xu, Ning Yuan, Wei Yu
2017 J jnl
Kernel framework based on non-negative matrix factorization for networks reconstruction and link prediction.
Knowl. Based Syst.
Wenjun Wang, Yiding Feng, Pengfei Jiao, Wei Yu
2017 J jnl
Semi-supervised community detection based on non-negative matrix factorization with node popularity.
Inf. Sci.
Xiao Liu, Wenjun Wang, Dongxiao He, Pengfei Jiao, Di Jin, Carlo Vittorio Cannistraci
2017 — conf
Study of land evolution model driving by multi-attribute functional urban areas.
ICSCA
Ruixin Song, Wenjun Wang, Pengfei Jiao, Kang Li, Jing Li
2017 B conf
Tracking and Detecting Dynamic Communities with Node Popularity Preservation.
ICTAI
Limengzi Yuan, Wenjun Wang, Pengfei Jiao, Di Jin, Wenxin Wei
2016 J jnl
Autonomous overlapping community detection in temporal networks: A dynamic Bayesian nonnegative matrix factorization approach.
Knowl. Based Syst.
Wenjun Wang, Pengfei Jiao, Dongxiao He, Di Jin, Lin Pan, Bogdan Gabrys
2016 — conf
Comparative Statistical Analysis of Large-Scale Calling and SMS Network.
ICSI (2)
Jian Li, Wenjun Wang, Pengfei Jiao, Haodong Lyu
2015 — conf
Semi-supervised Community Detection Framework Based on Non-negative Factorization Using Individual Labels.
ICSI (2)
Zhaoxian Wang, Wenjun Wang, Guixiang Xue, Pengfei Jiao, Xuewei Li