Chuan Shi

Orcid: 0000-0002-3734-0266

According to our database1, Chuan Shi authored at least 283 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Debiased Graph Neural Networks With Agnostic Label Selection Bias.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

Group-to-group recommendation with neural graph matching.
World Wide Web (WWW), March, 2024

Distance Information Improves Heterogeneous Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., March, 2024

Graph Mining for Cybersecurity: A Survey.
ACM Trans. Knowl. Discov. Data, February, 2024

Generalizing Graph Neural Networks on Out-of-Distribution Graphs.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Non-autoregressive personalized bundle generation.
Inf. Process. Manag., 2024

Cross-view hypergraph contrastive learning for attribute-aware recommendation.
Inf. Process. Manag., 2024

Non-autoregressive Personalized Bundle Generation.
CoRR, 2024

Speech-based Clinical Depression Screening: An Empirical Study.
CoRR, 2024

Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training.
CoRR, 2024

Learning Social Graph for Inactive User Recommendation.
CoRR, 2024

Less is More: on the Over-Globalizing Problem in Graph Transformers.
CoRR, 2024

BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences.
CoRR, 2024

Minimum Topology Attacks for Graph Neural Networks.
CoRR, 2024

Endowing Pre-trained Graph Models with Provable Fairness.
CoRR, 2024

Graph Fairness Learning under Distribution Shifts.
CoRR, 2024

Towards Learning from Graphs with Heterophily: Progress and Future.
CoRR, 2024

Adaptive negative representations for graph contrastive learning.
AI Open, 2024

Endowing Pre-trained Graph Models with Provable Fairness.
Proceedings of the ACM on Web Conference 2024, 2024

GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks.
Proceedings of the ACM on Web Conference 2024, 2024

Calibrating Graph Neural Networks from a Data-centric Perspective.
Proceedings of the ACM on Web Conference 2024, 2024

Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

Lecture-style Tutorial: Towards Graph Foundation Models.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Graph Fairness Learning under Distribution Shifts.
Proceedings of the ACM on Web Conference 2024, 2024

PGAU: Static IR Drop Analysis for Power Grid using Attention U-Net Architecture and Label Distribution Smoothing.
Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Graph Contrastive Invariant Learning from the Causal Perspective.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

A Generalized Neural Diffusion Framework on Graphs.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Towards Adaptive Information Fusion in Graph Convolutional Networks.
IEEE Trans. Knowl. Data Eng., December, 2023

Learning discrete adaptive receptive fields for graph convolutional networks.
Sci. China Inf. Sci., December, 2023

Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network.
IEEE Trans. Knowl. Data Eng., October, 2023

Full-Scale Information Diffusion Prediction With Reinforced Recurrent Networks.
IEEE Trans. Neural Networks Learn. Syst., May, 2023

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources.
IEEE Trans. Big Data, April, 2023

Improving drug-drug interactions prediction with interpretability via meta-path-based information fusion.
Briefings Bioinform., March, 2023

THAN: Multimodal Transportation Recommendation With Heterogeneous Graph Attention Networks.
IEEE Trans. Intell. Transp. Syst., February, 2023

Advances in Graph Neural Networks
Synthesis Lectures on Data Mining and Knowledge Discovery, Springer, ISBN: 978-3-031-16174-2, 2023

Dynamic Meta-path Guided Temporal Heterogeneous Graph Neural Networks.
World Sci. Annu. Rev. Artif. Intell., 2023

Heterogeneous Information Network Embedding With Adversarial Disentangler.
IEEE Trans. Knowl. Data Eng., 2023

Heterogeneous Graph Propagation Network.
IEEE Trans. Knowl. Data Eng., 2023

An Explainable Framework for Predicting Drug-Side Effect Associations via Meta-Path-Based Feature Learning in Heterogeneous Information Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

SEBGLMA: Semantic Embedded Bipartite Graph Network for Predicting lncRNA-miRNA Associations.
Int. J. Intell. Syst., 2023

Towards Graph Foundation Models: A Survey and Beyond.
CoRR, 2023

Graph Condensation via Eigenbasis Matching.
CoRR, 2023

Data-centric Graph Learning: A Survey.
CoRR, 2023

Provable Training for Graph Contrastive Learning.
CoRR, 2023

A Survey on Spectral Graph Neural Networks.
CoRR, 2023

Minimum Topology Attacks for Graph Neural Networks.
Proceedings of the ACM Web Conference 2023, 2023

A Post-Training Framework for Improving Heterogeneous Graph Neural Networks.
Proceedings of the ACM Web Conference 2023, 2023

Learning to Distill Graph Neural Networks.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Knowledge-Adaptive Contrastive Learning for Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

GammaGL: A Multi-Backend Library for Graph Neural Networks.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Abnormal Event Detection via Hypergraph Contrastive Learning.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Duplicate Multi-modal Entities Detection with Graph Contrastive Self-training Network.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Provable Training for Graph Contrastive Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Invariant Representations of Graph Neural Networks via Cluster Generalization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Graph Contrastive Learning with Stable and Scalable Spectral Encoding.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Data-centric Framework to Endow Graph Neural Networks with Out-Of-Distribution Detection Ability.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Specformer: Spectral Graph Neural Networks Meet Transformers.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Clustering-Based Supervised Contrastive Learning for Identifying Risk Items on Heterogeneous Graph.
Proceedings of the IEEE International Conference on Acoustics, 2023

FedValidate: A Robust Federated Learning Framework Based on Client-Side Validation.
Proceedings of the 8th International Conference on Data Science in Cyberspace, 2023

Memory-Enhanced Period-Aware Graph Neural Network for General POI Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2023

Node-dependent Semantic Search over Heterogeneous Graph Neural Networks.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Datasets and Interfaces for Benchmarking Heterogeneous Graph Neural Networks.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Retrieving GNN Architecture for Collaborative Filtering.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Directed Acyclic Graph Structure Learning from Dynamic Graphs.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A survey on heterogeneous information network based recommender systems: Concepts, methods, applications and resources.
AI Open, January, 2022

Heterogeneous Graph Representation Learning and Applications
Artificial Intelligence: Foundations, Theory, and Algorithms, Springer, ISBN: 978-981-16-6165-5, 2022

Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity.
IEEE Trans. Knowl. Data Eng., 2022

RHINE: Relation Structure-Aware Heterogeneous Information Network Embedding.
IEEE Trans. Knowl. Data Eng., 2022

Embedding Heterogeneous Information Network in Hyperbolic Spaces.
ACM Trans. Knowl. Discov. Data, 2022

A Meta Path Based Method for Entity Set Expansion in Knowledge Graph.
IEEE Trans. Big Data, 2022

Hyperbolic Graph Attention Network.
IEEE Trans. Big Data, 2022

Guest Editorial: Special Issue on Social Media Computing.
IEEE Trans. Big Data, 2022

A zero-shot learning framework via cluster-prototype matching.
Pattern Recognit., 2022

Joint semantics and data-driven path representation for knowledge graph reasoning.
Neurocomputing, 2022

Hypergraph Clustering Network for Interaction Data.
IEEE Data Eng. Bull., 2022

xTrimoABFold: De novo Antibody Structure Prediction without MSA.
CoRR, 2022

KGNN: Distributed Framework for Graph Neural Knowledge Representation.
CoRR, 2022

An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022.
CoRR, 2022

Compact Graph Structure Learning via Mutual Information Compression.
CoRR, 2022

Compact Graph Structure Learning via Mutual Information Compression.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Prohibited Item Detection via Risk Graph Structure Learning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Few-shot Link Prediction in Dynamic Networks.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Profiling the Design Space for Graph Neural Networks based Collaborative Filtering.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Geometric Disentangled Collaborative Filtering.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Co-clustering Interactions via Attentive Hypergraph Neural Network.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Uncovering the Structural Fairness in Graph Contrastive Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Data-Free Adversarial Knowledge Distillation for Graph Neural Networks.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Self-supervised Graph Neural Networks for Multi-behavior Recommendation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

An Effective Sentiment Analysis Model for Tobacco Consumption.
Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition, 2022

A Joint Framework for Explainable Recommendation with Knowledge Reasoning and Graph Representation.
Proceedings of the Database Systems for Advanced Applications, 2022

Gated Hypergraph Neural Network for Scene-Aware Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2022

OpenHGNN: An Open Source Toolkit for Heterogeneous Graph Neural Network.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Robust Heterogeneous Graph Neural Networks against Adversarial Attacks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Network Embedding: Theories, Methods, and Applications
Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 978-3-031-01590-8, 2021

HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification.
ACM Trans. Inf. Syst., 2021

Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks.
IEEE Trans. Knowl. Data Eng., 2021

Accelerating Large-Scale Heterogeneous Interaction Graph Embedding Learning via Importance Sampling.
ACM Trans. Knowl. Discov. Data, 2021

Text-Graph Enhanced Knowledge Graph Representation Learning.
Frontiers Artif. Intell., 2021

Entity set expansion in knowledge graph: a heterogeneous information network perspective.
Frontiers Comput. Sci., 2021

Interpreting and Unifying Graph Neural Networks with An Optimization Framework.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Lorentzian Graph Convolutional Networks.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Graph Structure Estimation Neural Networks.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Large-scale Comb-K Recommendation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Package Recommendation with Intra- and Inter-Package Attention Networks.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Sequence-aware Heterogeneous Graph Neural Collaborative Filtering.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Semantic-Specific Hierarchical Alignment Network for Heterogeneous Graph Adaptation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Dynamic Heterogeneous Graph Embedding via Heterogeneous Hawkes Process.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Tree-Capsule: Tree-Structured Capsule Network for Improving Relation Extraction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

The 4th Workshop on Heterogeneous Information Network Analysis and Applications (HENA 2021).
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Graph Representation Learning: Foundations, Methods, Applications and Systems.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Pre-training on Large-Scale Heterogeneous Graph.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

CuCo: Graph Representation with Curriculum Contrastive Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Heterogeneous Graph Neural Network with Distance Encoding.
Proceedings of the IEEE International Conference on Data Mining, 2021

Structure-Aware Parameter-Free Group Query via Heterogeneous Information Network Transformer.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Sequence Attention for Multivariate Time Series Forecasting.
Proceedings of the Sixth IEEE International Conference on Data Science in Cyberspace, 2021

Topic-aware Heterogeneous Graph Neural Network for Link Prediction.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Neural Information Diffusion Prediction with Topic-Aware Attention Network.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Contrastive Pre-Training of GNNs on Heterogeneous Graphs.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Prohibited Item Detection on Heterogeneous Risk Graphs.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Heterogeneous Graph Structure Learning for Graph Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Learning to Pre-train Graph Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

GraphMSE: Efficient Meta-path Selection in Semantically Aligned Feature Space for Graph Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Who You Would Like to Share With? A Study of Share Recommendation in Social E-commerce.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Beyond Low-frequency Information in Graph Convolutional Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Embedding geographic information for anomalous trajectory detection.
World Wide Web, 2020

Graph neural entity disambiguation.
Knowl. Based Syst., 2020

Semi-supervised Co-Clustering on Attributed Heterogeneous Information Networks.
Inf. Process. Manag., 2020

Graph neural news recommendation with long-term and short-term interest modeling.
Inf. Process. Manag., 2020

Joint Semantics and Data-Driven Path Representation for Knowledge Graph Inference.
CoRR, 2020

Heterogeneous Graph Neural Network for Recommendation.
CoRR, 2020

One2Multi Graph Autoencoder for Multi-view Graph Clustering.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Structural Deep Clustering Network.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Multiplex Memory Network for Collaborative Filtering.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Social Influence Attentive Neural Network for Friend-Enhanced Recommendation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Temporal Heterogeneous Interaction Graph Embedding for Next-Item Recommendation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Network Schema Preserving Heterogeneous Information Network Embedding.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Decorrelated Clustering with Data Selection Bias.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Adversarial Label-Flipping Attack and Defense for Graph Neural Networks.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Learning Node Representations from Noisy Graph Structures.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Cyber-guided Deep Neural Network for Malicious Repository Detection in GitHub.
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

EasyGML: A Fully-functional and Easy-to-use Platform for Industrial Graph Machine Learning.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

More Than One: A Cluster-Prototype Matching Framework for Zero-Shot Learning.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Encrypted Traffic Classification Using Graph Convolutional Networks.
Proceedings of the Advanced Data Mining and Applications - 16th International Conference, 2020

STCNet: Spatial-Temporal Convolution Network for Traffic Speed Prediction.
Proceedings of the Advanced Data Mining and Applications - 16th International Conference, 2020

Graph Neural News Recommendation with Unsupervised Preference Disentanglement.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Multi-Component Graph Convolutional Collaborative Filtering.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

FlowScope: Spotting Money Laundering Based on Graphs.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

GraLSP: Graph Neural Networks with Local Structural Patterns.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
SemRec: a personalized semantic recommendation method based on weighted heterogeneous information networks.
World Wide Web, 2019

Heterogeneous Information Network Embedding for Recommendation.
IEEE Trans. Knowl. Data Eng., 2019

Optimization of Network-Based Caching and Forwarding Using Mobile Edge Computing.
IEEE Access, 2019

On Balancing Neighborhood and Global Replacement Strategies in MOEA/D.
IEEE Access, 2019

Your Style Your Identity: Leveraging Writing and Photography Styles for Drug Trafficker Identification in Darknet Markets over Attributed Heterogeneous Information Network.
Proceedings of the World Wide Web Conference, 2019

Heterogeneous Graph Attention Network.
Proceedings of the World Wide Web Conference, 2019

NEAR: Normalized Network Embedding with Autoencoder for Top-K Item Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Integrating Topic Model and Heterogeneous Information Network for Aspect Mining with Rating Bias.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Adversarial Learning on Heterogeneous Information Networks.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Incorporating Instance Correlations in Distantly Supervised Relation Extraction.
Proceedings of the Semantic Technology - 9th Joint International Conference, 2019

iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Credibility Assessment of Simulation Models Using Hesitant Cloud Linguistic Term Sets.
Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019

Improving Distantly-Supervised Relation Extraction with Joint Label Embedding.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Meta-Path based Text Feature Enrichment Using Knowledge Graph.
Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019

Author Set Identification via Quasi-Clique Discovery.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Key Player Identification in Underground Forums over Attributed Heterogeneous Information Network Embedding Framework.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

HENA 2019: The 3rd Workshop of Heterogeneous Information Network Analysis and Applications.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Recent Developments of Deep Heterogeneous Information Network Analysis.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Temporal Network Embedding with Micro- and Macro-dynamics.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Coupled Semi-supervised Clustering: Exploring Attribute Correlations in Heterogeneous Information Networks.
Proceedings of the Web and Big Data - Third International Joint Conference, 2019

Spatial-Temporal Recurrent Neural Network for Anomalous Trajectories Detection.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

Hyperbolic Heterogeneous Information Network Embedding.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Relation Structure-Aware Heterogeneous Information Network Embedding.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
MFPR: A Personalized Ranking Recommendation with Multiple Feedback.
ACM Trans. Soc. Comput., 2018

Transfer collaborative filtering from multiple sources via consensus regularization.
Neural Networks, 2018

Coupled matrix factorization and topic modeling for aspect mining.
Inf. Process. Manag., 2018

Attention Based Meta Path Fusion for Heterogeneous Information Network Embedding.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

A Heterogeneous Information Network Method for Entity Set Expansion in Knowledge Graph.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

The Design and Research on a Target Tracking Arithmetic Under Complex Background.
Proceedings of the 11th International Symposium on Computational Intelligence and Design, 2018

Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

NeuCast: Seasonal Neural Forecast of Power Grid Time Series.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Design and Optimization of a Solar Power Conversion System for Space Applications.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2018

Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Abnormal Event Detection via Heterogeneous Information Network Embedding.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

ANE: Network Embedding via Adversarial Autoencoders.
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

A Hybrid Replacement Strategy for MOEA/D.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2018

Matrix Factorization Meets Social Network Embedding for Rating Prediction.
Proceedings of the Web and Big Data - Second International Joint Conference, 2018

Representation Learning with Depth and Breadth for Recommendation Using Multi-view Data.
Proceedings of the Web and Big Data - Second International Joint Conference, 2018

Abstractive Document Summarization via Bidirectional Decoder.
Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018

Anomalous Trajectory Detection Using Recurrent Neural Network.
Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018

2017
A Single-Phase Integrated Onboard Battery Charger Using Propulsion System for Plug-in Electric Vehicles.
IEEE Trans. Veh. Technol., 2017

A Survey of Heterogeneous Information Network Analysis.
IEEE Trans. Knowl. Data Eng., 2017

Representation learning via Dual-Autoencoder for recommendation.
Neural Networks, 2017

Recommendation in heterogeneous information network via dual similarity regularization.
Int. J. Data Sci. Anal., 2017

Meta-path-based link prediction in schema-rich heterogeneous information network.
Int. J. Data Sci. Anal., 2017

Local Low-Rank Matrix Approximation with Preference Selection of Anchor Points.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Entity Set Expansion with Meta Path in Knowledge Graph.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

DSBPR: Dual Similarity Bayesian Personalized Ranking.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Personalized Ranking Recommendation via Integrating Multiple Feedbacks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Design of an Image-Jamming Signal Detection System.
Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017

Playlist Recommendation Based on Reinforcement Learning.
Proceedings of the Intelligence Science I, 2017

Visual analysis of large heterogeneous network through interactive centrality based sampling.
Proceedings of the 14th IEEE International Conference on Networking, Sensing and Control, 2017

Local Ensemble across Multiple Sources for Collaborative Filtering.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

A decomposition based multiobjective evolutionary algorithm with semi-supervised classification.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Heterogeneous Information Network Analysis and Applications
Data Analytics, Springer, ISBN: 978-3-319-56212-4, 2017

2016
Integrating heterogeneous information via flexible regularization framework for recommendation.
Knowl. Inf. Syst., 2016

Constrained-meta-path-based ranking in heterogeneous information network.
Knowl. Inf. Syst., 2016

Part sojourn time distribution in a two-machine line.
Eur. J. Oper. Res., 2016

Expenditure Aware Rating Prediction for Recommendation.
CoRR, 2016

RecExp: A Semantic Recommender System with Explanation Based on Heterogeneous Information Network.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Aspect Mining with Rating Bias.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Dual Similarity Regularization for Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Link Prediction in Schema-Rich Heterogeneous Information Network.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Design for Hardware In-the-Loop Real-Time Simulation Test of Combined Seeker.
Proceedings of the 9th International Symposium on Computational Intelligence and Design, 2016

Design and Implementation of a P2P Resource Sharing System Based on Metadata Catalog.
Proceedings of the 9th International Symposium on Computational Intelligence and Design, 2016

High-Dimensional Data Visualization Based on User Knowledge.
Proceedings of the Data Mining and Big Data, First International Conference, 2016

Expenditure aware rating prediction for recommendation.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Dynamic Community Detection Algorithm Based on Incremental Identification.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
HeteSim: A General Framework for Relevance Measure in Heterogeneous Networks.
IEEE Trans. Knowl. Data Eng., 2014

Multi-Label Classification Based on Multi-Objective Optimization.
ACM Trans. Intell. Syst. Technol., 2014

HRank: A Path based Ranking Framework in Heterogeneous Information Network.
CoRR, 2014

Comparison and Selection of objective Functions in multiobjective Community Detection.
Comput. Intell., 2014

Improvement of the evaluation of closed-loop production systems with unreliable machines and finite buffers.
Comput. Ind. Eng., 2014

A Novel Index Structure for Multi-key Search.
Proceedings of the Web-Age Information Management - 15th International Conference, 2014

A Two-Phase Model for Retweet Number Prediction.
Proceedings of the Web-Age Information Management - 15th International Conference, 2014

HRank: A Path Based Ranking Method in Heterogeneous Information Network.
Proceedings of the Web-Age Information Management - 15th International Conference, 2014

A Fast Distributed Stochastic Gradient Descent Algorithm for Matrix Factorization.
Proceedings of the 3rd International Workshop on Big Data, 2014

A Retweet Number Prediction Model Based on Followers' Retweet Intention and Influence.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Ranking-based Clustering on General Heterogeneous Information Networks by Network Projection.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Sentiment analysis based on transfer learning for Chinese ancient literature.
Proceedings of the 2014 International Conference on Behavioral, 2014

Location inference using microblog text and friendships.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

Relevance Measure in Large-Scale Heterogeneous Networks.
Proceedings of the Web Technologies and Applications - 16th Asia-Pacific Web Conference, 2014

2013
A link clustering based overlapping community detection algorithm.
Data Knowl. Eng., 2013

Integrating Clustering and Ranking on Hybrid Heterogeneous Information Network.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

The Additive Property in Long Line Optimization.
Proceedings of the 7th IFAC Conference on Manufacturing Modelling, Management, and Control, 2013

Multi-Objective Optimization for Overlapping Community Detection.
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

2012
Multi-objective community detection in complex networks.
Appl. Soft Comput., 2012

Multi-Objective Multi-Label Classification.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

HeteRecom: a semantic-based recommendation systemin heterogeneous networks.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

War Versus Inspirational in Forrest Gump: Cultural Effects in Tagging Communities.
Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

Relevance search in heterogeneous networks.
Proceedings of the 15th International Conference on Extending Database Technology, 2012

2011
A Posteriori Approach for Community Detection.
J. Comput. Sci. Technol., 2011

Multi-label Ensemble Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

On selection of objective functions in multi-objective community detection.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

An estimation of distribution algorithm based on nonparametric density estimation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Multi-objective decisionmaking in the detection of comprehensive community structures.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

A Novel Genetic Algorithm for Overlapping Community Detection.
Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

2010
A fast multi-objective evolutionary algorithm based on a tree structure.
Appl. Soft Comput., 2010

A Genetic Algorithm for Detecting Communities in Large-Scale Complex Networks.
Adv. Complex Syst., 2010

A Comparison of Objective Functions in Network Community Detection.
Proceedings of the ICDMW 2010, 2010

A multi-objective approach for community detection in complex network.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

FolkDiffusion: A Graph-Based Tag Suggestion Method for Folksonomies.
Proceedings of the Information Retrieval Technology, 2010

A Novel Algorithm for Hierarchical Community Structure Detection in Complex Networks.
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

2009
A dominance tree and its application in evolutionary multi-objective optimization.
Inf. Sci., 2009

A New Genetic Algorithm for Community Detection.
Proceedings of the Complex Sciences, 2009

VisNetMiner: An Integration Tool for Visualization and Analysis of Networks.
Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009

2007
Adjustment of Feedrate Planning Basing on Discrete Interpolation Interval in Interpolation Process.
Proceedings of the International MultiConference of Engineers and Computer Scientists 2007, 2007

An Efficient Fitness Assignment Based on Dominating Tree.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Automatic Discovery of Subgoals in Reinforcement Learning Using Unique-Dreiction Value.
Proceedings of the Six IEEE International Conference on Cognitive Informatics, 2007

2006
A Multi-agent Negotiation Model Applied in Multi-objective Optimization.
Proceedings of the Agent Computing and Multi-Agent Systems, 2006

An Improved Multiobjective Evolutionary Algorithm Based on Dominating Tree.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Stock Time Series Forecasting Using Support Vector Machines Employing Analyst Recommendations.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2003
A new simple and highly efficient multi-objective optimal evolutionary algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003


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