2025
PEPT: Expert Finding Meets Personalized Pre-Training.
ACM Trans. Inf. Syst., January, 2025
Counterfactual learning for higher-order relation prediction in heterogeneous information networks.
Neural Networks, 2025
Learning accurate neighborhood- and self-information for higher-order relation prediction in Heterogeneous Information Networks.
Neurocomputing, 2025
2024
Representation Learning on Heterostructures via Heterogeneous Anonymous Walks.
IEEE Trans. Neural Networks Learn. Syst., July, 2024
Extending Graph Rules with Oracles.
Proc. VLDB Endow., March, 2024
Group-Based Personalized News Recommendation with Long- and Short-Term Fine-Grained Matching.
ACM Trans. Inf. Syst., January, 2024
Deep expertise and interest personalized transformer for expert finding.
Inf. Process. Manag., 2024
MLDGG: Meta-Learning for Domain Generalization on Graphs.
CoRR, 2024
Review-LLM: Harnessing Large Language Models for Personalized Review Generation.
CoRR, 2024
Graphs Generalization under Distribution Shifts.
CoRR, 2024
Graph Contrastive Learning via Interventional View Generation.
Proceedings of the ACM on Web Conference 2024, 2024
Anomaly Subgraph Detection through High-Order Sampling Contrastive Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Graph Collaborative Expert Finding with Contrastive Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Entity Profiling with Graph Rules.
Proceedings of the Database Systems for Advanced Applications, 2024
Enhancing Multi-view Contrastive Learning for Graph Anomaly Detection.
Proceedings of the Database Systems for Advanced Applications, 2024
TransGAD: A Transformer-Based Autoencoder for Graph Anomaly Detection.
Proceedings of the Database Systems for Advanced Applications, 2024
Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
Generative Evolutionary Anomaly Detection in Dynamic Networks.
IEEE Trans. Knowl. Data Eng., December, 2023
HB-DSBM: Modeling the Dynamic Complex Networks From Community Level to Node Level.
IEEE Trans. Neural Networks Learn. Syst., November, 2023
Exploring Temporal Community Structure via Network Embedding.
IEEE Trans. Cybern., November, 2023
Multi-view change point detection in dynamic networks.
Inf. Sci., June, 2023
PEPT: Expert Finding Meets Personalized Pre-training.
CoRR, 2023
Deep Cross-Network Alignment with Anchor Node Pair Diverse Local Structure.
Algorithms, 2023
Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning.
Proceedings of the Knowledge Science, Engineering and Management, 2023
Event Association Analysis Using Graph Rules.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023
Structure-Enhanced Graph Neural ODE Network for Temporal Link Prediction.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023
Contrastive Pre-training for Personalized Expert Finding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Sentiment-aware Review Summarization with Personalized Multi-task Fine-tuning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Contrastive Representation Learning Based on Multiple Node-centered Subgraphs.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Pre-trained Personalized Review Summarization with Effective Salience Estimation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism.
IEEE Trans. Neural Networks Learn. Syst., 2022
Guest Editorial: Special Issue on Network Structural Modeling and Learning in Big Data.
IEEE Trans. Big Data, 2022
IISD: Integrated Interaction Subgraph Detection for event mining.
Knowl. Based Syst., 2022
STHGCN: A spatiotemporal prediction framework based on higher-order graph convolution networks.
Knowl. Based Syst., 2022
Network Alignment enhanced via modeling heterogeneity of anchor nodes.
Knowl. Based Syst., 2022
AAAN: Anomaly Alignment in Attributed Networks.
Knowl. Based Syst., 2022
Towards comprehensive expert finding with a hierarchical matching network.
Knowl. Based Syst., 2022
Multi-users interaction anomalous subgraph detection for event mining.
Neurocomputing, 2022
Geometry interaction network alignment.
Neurocomputing, 2022
Cold-Start Link Prediction via Weighted Symmetric Nonnegative Matrix Factorization with Graph Regularization.
Comput. Syst. Sci. Eng., 2022
FadMan: Federated Anomaly Detection across Multiple Attributed Networks.
CoRR, 2022
Towards a Multi-View Attentive Matching for Personalized Expert Finding.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Graph Neural Network for Higher-Order Dependency Networks.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Inflation Improves Graph Neural Networks.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Multiple Anomaly Alignments on Network Traffics.
Proceedings of the IEEE International Conference on Knowledge Graph, 2022
Towards Personalized Review Generation with Gated Multi-source Fusion Network.
Proceedings of the Database Systems for Advanced Applications, 2022
Expertise-Oriented Explainable Question Routing.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2022
Role-Oriented Dynamic Network Embedding.
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Toward Comprehensive User and Item Representations via Three-tier Attention Network.
ACM Trans. Inf. Syst., 2021
Role-based network embedding via structural features reconstruction with degree-regularized constraint.
Knowl. Based Syst., 2021
Rating-boosted abstractive review summarization with neural personalized generation.
Knowl. Based Syst., 2021
Lower order information preserved network embedding based on non-negative matrix decomposition.
Inf. Sci., 2021
ANOMALYMAXQ: Anomaly-Structured Maximization to Query in Attributed Network.
CoRR, 2021
Modeling Community Evolution Characteristics of Dynamic Networks with Evolutionary Bayesian Nonnegative Matrix Factorization.
Complex., 2021
College Students' Psychological Health Analysis Based on Multitask Gaussian Graphical Models.
Complex., 2021
Transformer Reasoning Network for Personalized Review Summarization.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Learning Stochastic Equivalence based on Discrete Ricci Curvature.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Generating Structural Node Representations via Higher-order Features and Adversarial Learning.
Proceedings of the IEEE International Conference on Data Mining, 2021
Neural Adversarial Review Summarization with Hierarchical Personalized Attention.
Proceedings of the Database Systems for Advanced Applications, 2021
Role-oriented Network Embedding Based on Adversarial Learning between Higher-order and Local Features.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
PGraph: A Graph-based Structure for Interactive Event Exploration on Social Media.
Proceedings of the 28th Asia-Pacific Software Engineering Conference, 2021
2020
Exploring the transition behavior of nodes in temporal networks based on dynamic community detection.
Future Gener. Comput. Syst., 2020
A Unified Bayesian Model for Generalized Community Detection in Attribute Networks.
Complex., 2020
Neural Unified Review Recommendation with Cross Attention.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Hierarchical Multi-view Attention for Neural Review-Based Recommendation.
Proceedings of the Natural Language Processing and Chinese Computing, 2020
Cascade modeling with multihead self-attention.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Key Nodes Cluster Augmented Embedding for Heterogeneous Information Networks.
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Role-Oriented Graph Auto-encoder Guided by Structural Information.
Proceedings of the Database Systems for Advanced Applications, 2020
A Unified Bayesian Model of Community Detection in Attribute Networks with Power-Law Degree Distribution.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020
CPNSA: Cascade Prediction with Network Structure Attention.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020
Anomaly Subgraph Detection with Feature Transfer.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
2019
Evolutionary clustering via graph regularized nonnegative matrix factorization for exploring temporal networks.
Knowl. Based Syst., 2019
Community structure enhanced cascade prediction.
Neurocomputing, 2019
Modeling the Local and Global Evolution Pattern of Community Structures for Dynamic Networks Analysis.
IEEE Access, 2019
Deep Mutual Encode Model for Network Embedding From Structural Identity.
IEEE Access, 2019
An Empirical Study on High-Risk Driving Behavior to Urban-Scale Pattern in China.
IEEE Access, 2019
NRPA: Neural Recommendation with Personalized Attention.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
SSNE: Status Signed Network Embedding.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019
REET: Joint Relation Extraction and Entity Typing via Multi-task Learning.
Proceedings of the Natural Language Processing and Chinese Computing, 2019
NRSA: Neural Recommendation with Summary-Aware Attention.
Proceedings of the Knowledge Science, Engineering and Management, 2019
A Double Non-Negative Matrix Factorization Model for Signed Network Analysis.
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019
Boosting Temporal Community Detection via Modeling Community Evolution Characteristics.
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019
Surrounding-Based Attention Networks for Aspect-Level Sentiment Classification.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019
Dynamic Stochastic Block Model with Scale-Free Characteristic for Temporal Complex Networks.
Proceedings of the Database Systems for Advanced Applications, 2019
Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors.
Proceedings of the Database Systems for Advanced Applications, 2019
Bipartite Network Embedding via Effective Integration of Explicit and Implicit Relations.
Proceedings of the Database Systems for Advanced Applications, 2019
REKA: Relation Extraction with Knowledge-Aware Attention.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding, 2019
Uncovering Specific-Shape Graph Anomalies in Attributed Graphs.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Exploring temporal community structure and constant evolutionary pattern hiding in dynamic networks.
Neurocomputing, 2018
Constrained common cluster based model for community detection in temporal and multiplex networks.
Neurocomputing, 2018
Highlighting Link Prediction in Bipartite Networks via Structural Perturbation.
IEEE Access, 2018
NE-FLGC: Network Embedding Based on Fusing Local (First-Order) and Global (Second-Order) Network Structure with Node Content.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
A Unified Weakly Supervised Framework for Community Detection and Semantic Matching.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
2017
Exploring Intracity Taxi Mobility during the Holidays for Location-Based Marketing.
Mob. Inf. Syst., 2017
Kernel framework based on non-negative matrix factorization for networks reconstruction and link prediction.
Knowl. Based Syst., 2017
Semi-supervised community detection based on non-negative matrix factorization with node popularity.
Inf. Sci., 2017
Tracking and Detecting Dynamic Communities with Node Popularity Preservation.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017
Study of land evolution model driving by multi-attribute functional urban areas.
Proceedings of the 6th International Conference on Software and Computer Applications, 2017
2016
Autonomous overlapping community detection in temporal networks: A dynamic Bayesian nonnegative matrix factorization approach.
Knowl. Based Syst., 2016
Comparative Statistical Analysis of Large-Scale Calling and SMS Network.
Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016
2015
A framework with reasoning capabilities for crisis response decision-support systems.
Eng. Appl. Artif. Intell., 2015
An Empirical Analysis on Temporal Pattern of Credit Card Trade.
Proceedings of the Advances in Swarm and Computational Intelligence, 2015
Discovering Traffic Outlier Causal Relationship Based on Anomalous DAG.
Proceedings of the Advances in Swarm and Computational Intelligence, 2015
Semi-supervised Community Detection Framework Based on Non-negative Factorization Using Individual Labels.
Proceedings of the Advances in Swarm and Computational Intelligence, 2015
Temporal Pattern of Human Post and Interaction Behavior in Qzone.
Proceedings of the Advances in Swarm and Computational Intelligence, 2015
Study on Temporal Patterns of Medical Emergency Call.
Proceedings of the 10th International Conference on Intelligent Systems and Knowledge Engineering, 2015
The Correlation Mining and Prediction of Social Security Events Based on Multidimensional Time Series Model.
Proceedings of the 10th International Conference on Intelligent Systems and Knowledge Engineering, 2015
2005
A Hierarchical Component-based WebGIS and Its Key Technologies.
Comput. Artif. Intell., 2005
The Semantic Annotation of Emergency Event Cases.
Proceedings of the 2005 International Conference on Semantics, 2005
The Study and Application of Crime Emergency Ontology Event Model.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005
Ontological Model of Event for Integration of Inter-organization Applications.
Proceedings of the Computational Science and Its Applications, 2005
2004
A Metadata Framework for Distributed Geo-spatial Databases in Grid Environment.
Proceedings of the Grid and Cooperative Computing, 2004
Mapping Business Workflows onto Network Services Environments.
Proceedings of the Grid and Cooperative Computing, 2004
QoS Analysis on Web Service Based Spatial Integration.
Proceedings of the Grid and Cooperative Computing, 2004
Spatial Application Integrating Infrastructure.
Proceedings of the Electronic Government: Third International Conference, 2004
Web Service and Geographical Information Integration.
Proceedings of the 28th International Computer Software and Applications Conference (COMPSAC 2004), 2004