Shirui Pan
Orcid: 0000-0003-0794-527X
According to our database1,
Shirui Pan
authored at least 383 papers
between 2010 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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On csauthors.net:
Bibliography
2025
ACM Comput. Surv., January, 2025
CARLA: Self-supervised contrastive representation learning for time series anomaly detection.
Pattern Recognit., 2025
2024
IEEE Trans. Big Data, December, 2024
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
IEEE Trans. Neural Networks Learn. Syst., November, 2024
IEEE Trans. Knowl. Data Eng., November, 2024
Interpretable Traffic Accident Prediction: Attention Spatial-Temporal Multi-Graph Traffic Stream Learning Approach.
IEEE Trans. Intell. Transp. Syst., November, 2024
IEEE Trans. Cybern., November, 2024
IEEE Trans. Cybern., October, 2024
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2024
Correlation-Aware Spatial-Temporal Graph Learning for Multivariate Time-Series Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst., September, 2024
Characterizing Secretion System Effector Proteins With Structure-Aware Graph Neural Networks and Pre-Trained Language Models.
IEEE J. Biomed. Health Informatics, September, 2024
Int. J. Mach. Learn. Cybern., September, 2024
IEEE Trans. Neural Networks Learn. Syst., July, 2024
IEEE Trans. Knowl. Data Eng., July, 2024
Complex query answering over knowledge graphs foundation model using region embeddings on a lie group.
World Wide Web (WWW), May, 2024
VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily.
World Wide Web (WWW), May, 2024
ACM Trans. Inf. Syst., May, 2024
Guest Editorial: Deep Neural Networks for Graphs: Theory, Models, Algorithms, and Applications.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
IEEE Trans. Knowl. Data Eng., April, 2024
PLANNER: A Multi-Scale Deep Language Model for the Origins of Replication Site Prediction.
IEEE J. Biomed. Health Informatics, April, 2024
Pattern Recognit., April, 2024
Datasets for "Physicochemical graph neural network for learning protein-ligand interaction fingerprints from sequence data".
Dataset, April, 2024
IEEE Trans. Neural Networks Learn. Syst., February, 2024
Proc. IEEE, February, 2024
Breaking the curse of dimensional collapse in graph contrastive learning: A whitening perspective.
Inf. Sci., February, 2024
IEEE Trans. Knowl. Data Eng., January, 2024
FCFDA: Fine-Coarse-Fine Progressive Graph Framework With Distribution Alignment for Hyperspectral Image Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2024
Neural Networks, 2024
Towards complex dynamic physics system simulation with graph neural ordinary equations.
Neural Networks, 2024
An Inductive Reasoning Model based on Interpretable Logical Rules over temporal knowledge graph.
Neural Networks, 2024
Physicochemical graph neural network for learning protein-ligand interaction fingerprints from sequence data.
Nat. Mac. Intell., 2024
Knowl. Based Syst., 2024
Bi-SGTAR: A simple yet efficient model for circRNA-disease association prediction based on known association pair only.
Knowl. Based Syst., 2024
Inf. Sci., 2024
Graph spatiotemporal process for multivariate time series anomaly detection with missing values.
Inf. Fusion, 2024
IEEE Intell. Syst., 2024
Effective Instruction Parsing Plugin for Complex Logical Query Answering on Knowledge Graphs.
CoRR, 2024
CoRR, 2024
Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models.
CoRR, 2024
Evaluating the effects of Data Sparsity on the Link-level Bicycling Volume Estimation: A Graph Convolutional Neural Network Approach.
CoRR, 2024
Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator.
CoRR, 2024
Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials.
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark.
CoRR, 2024
Balancing User Preferences by Social Networks: A Condition-Guided Social Recommendation Model for Mitigating Popularity Bias.
CoRR, 2024
Gradient Transformation: Towards Efficient and Model-Agnostic Unlearning for Dynamic Graph Neural Networks.
CoRR, 2024
Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning.
CoRR, 2024
All Nodes are created Not Equal: Node-Specific Layer Aggregation and Filtration for GNN.
CoRR, 2024
Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack.
CoRR, 2024
ROG<sub>PL</sub>: Robust Open-Set Graph Learning via Region-Based Prototype Learning.
CoRR, 2024
Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning.
CoRR, 2024
CoRR, 2024
CoRR, 2024
IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion.
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of Query-based Integrity Verification.
Proceedings of the IEEE Symposium on Security and Privacy, 2024
GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks.
Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Divide and Denoise: Empowering Simple Models for Robust Semi-Supervised Node Classification against Label Noise.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Graph Attention Network with High-Order Neighbor Information Propagation for Social Recommendation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
CONC: Complex-noise-resistant Open-set Node Classification with Adaptive Noise Detection.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Knowl. Data Eng., December, 2023
Proc. IEEE, December, 2023
Predicting Best-Selling New Products in a Major Promotion Campaign Through Graph Convolutional Networks.
IEEE Trans. Neural Networks Learn. Syst., November, 2023
Corrigendum to " Domain-adaptive Message Passing Graph Neural Network" [Neural Netw. 164 (2023) 439-454].
Neural Networks, November, 2023
Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation.
ACM Trans. Inf. Syst., October, 2023
Task Scheduling in Three-Dimensional Spatial Crowdsourcing: A Social Welfare Perspective.
IEEE Trans. Mob. Comput., September, 2023
IEEE Trans. Knowl. Data Eng., September, 2023
Digerati - A multipath parallel hybrid deep learning framework for the identification of mycobacterial PE/PPE proteins.
Comput. Biol. Medicine, September, 2023
IEEE Trans. Knowl. Data Eng., August, 2023
Neural Networks, August, 2023
IEEE Trans. Knowl. Data Eng., July, 2023
ATTIC is an integrated approach for predicting A-to-I RNA editing sites in three species.
Briefings Bioinform., May, 2023
Pattern Recognit., April, 2023
Inf. Sci., April, 2023
IEEE Trans. Neural Networks Learn. Syst., February, 2023
Gated graph convolutional network with enhanced representation and joint attention for distant supervised heterogeneous relation extraction.
World Wide Web (WWW), January, 2023
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning.
IEEE Trans. Knowl. Data Eng., 2023
GoLoG: Global-to-Local Decoupling Graph Network With Joint Optimization for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2023
IEEE Trans. Pattern Anal. Mach. Intell., 2023
A disentangled linguistic graph model for explainable aspect-based sentiment analysis.
Knowl. Based Syst., 2023
Neurocomputing, 2023
Heterogeneous deep graph convolutional network with citation relational BERT for COVID-19 inline citation recommendation.
Expert Syst. Appl., 2023
ACM Comput. Surv., 2023
Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems.
CoRR, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
Domain-adaptive Graph Attention-supervised Network for Cross-network Edge Classification.
CoRR, 2023
ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning.
CoRR, 2023
CARLA: A Self-supervised Contrastive Representation Learning Approach for Time Series Anomaly Detection.
CoRR, 2023
G<sup>2</sup>xy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns.
CoRR, 2023
CoRR, 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects.
CoRR, 2023
How Expressive are Spectral-Temporal Graph Neural Networks for Time Series Forecasting?
CoRR, 2023
CoRR, 2023
Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery.
CoRR, 2023
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the ACM Web Conference 2023, 2023
CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-Squashing.
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the ACM Web Conference 2023, 2023
Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Towards Few-Shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-Guided Neural Process Approach.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs.
Proceedings of the International Conference on Machine Learning, 2023
Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the 27th Conference on Computational Natural Language Learning, 2023
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Mob. Comput., 2022
IEEE Trans. Ind. Informatics, 2022
Dual Interactive Graph Convolutional Networks for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022
Attraction and Repulsion: Unsupervised Domain Adaptive Graph Contrastive Learning Network.
IEEE Trans. Emerg. Top. Comput. Intell., 2022
IGNSCDA: Predicting CircRNA-Disease Associations Based on Improved Graph Convolutional Network and Negative Sampling.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
IEEE ACM Trans. Audio Speech Lang. Process., 2022
Pattern Recognit., 2022
Pattern Recognit., 2022
Pattern Recognit., 2022
Knowl. Based Syst., 2022
Guest Editorial: Graph-powered machine learning in future-generation computing systems.
Future Gener. Comput. Syst., 2022
Mutually reinforced network embedding: An integrated approach to research paper recommendation.
Expert Syst. Appl., 2022
GCNFusion: An efficient graph convolutional network based model for information diffusion.
Expert Syst. Appl., 2022
VR-GNN: Variational Relation Vector Graph Neural Network for Modeling both Homophily and Heterophily.
CoRR, 2022
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting-Full Version.
CoRR, 2022
CoRR, 2022
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach.
CoRR, 2022
Complex., 2022
Positive-unlabeled learning in bioinformatics and computational biology: a brief review.
Briefings Bioinform., 2022
Appl. Intell., 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Improving Factual Consistency of Dialogue Summarization with Fact-Augmentation Mechanism.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences.
Proceedings of the IEEE International Conference on Data Mining, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Proceedings of the 25th International Conference on Information Fusion, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
A Probabilistic Graphical Model Based on Neural-symbolic Reasoning for Visual Relationship Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022
Fire Burns, Sword Cuts: Commonsense Inductive Bias for Exploration in Text-based Games.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Thrifty Neural Architecture Search for Medical Image Segmentation (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
ACM Trans. Knowl. Discov. Data, 2021
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network.
IEEE Trans. Geosci. Remote. Sens., 2021
IEEE Trans. Engineering Management, 2021
Convolutional Neural Networks-Based Lung Nodule Classification: A Surrogate-Assisted Evolutionary Algorithm for Hyperparameter Optimization.
IEEE Trans. Evol. Comput., 2021
IEEE Trans. Cybern., 2021
IEEE Trans. Comput. Soc. Syst., 2021
One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting.
IEEE Trans. Pattern Anal. Mach. Intell., 2021
Knowl. Inf. Syst., 2021
Gated relational stacked denoising autoencoder with localized author embedding for global citation recommendation.
Expert Syst. Appl., 2021
CoRR, 2021
CoRR, 2021
Differentiable Architecture Search Without Training Nor Labels: A Pruning Perspective.
CoRR, 2021
CoRR, 2021
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning.
CoRR, 2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
Heterogeneous Graph Attention Network for Small and Medium-Sized Enterprises Bankruptcy Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications.
Proceedings of the IEEE International Conference on Data Mining, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
Toward the Automated Construction of Probabilistic Knowledge Graphs for the Maritime Domain.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Towards Extracting Graph Neural Network Models via Prediction Queries (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Adaptive knowledge subgraph ensemble for robust and trustworthy knowledge graph completion.
World Wide Web, 2020
IEEE Trans. Syst. Man Cybern. Syst., 2020
Familial Clustering for Weakly-Labeled Android Malware Using Hybrid Representation Learning.
IEEE Trans. Inf. Forensics Secur., 2020
IEEE Trans. Fuzzy Syst., 2020
Exploiting Implicit Influence From Information Propagation for Social Recommendation.
IEEE Trans. Cybern., 2020
IEEE Trans. Cybern., 2020
Pattern Recognit., 2020
Neural Comput. Appl., 2020
CoRR, 2020
Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification.
CoRR, 2020
Classification of Lung Nodules Based on Deep Residual Networks and Migration Learning.
Comput. Intell. Neurosci., 2020
IEEE Access Special Section Editorial: Advanced Data Mining Methods for Social Computing.
IEEE Access, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the JCDL '20: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Cross-Graph: Robust and Unsupervised Embedding for Attributed Graphs with Corrupted Structure.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Monash-Summ@LongSumm 20 SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline.
Proceedings of the First Workshop on Scholarly Document Processing, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Reinforcement Learning Based Meta-Path Discovery in Large-Scale Heterogeneous Information Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
IEEE Trans. Knowl. Data Eng., 2019
IEEE Trans. Ind. Electron., 2019
Pattern Recognit., 2019
Decentralized Learning with Average Difference Aggregation for Proactive Online Social Care.
CoRR, 2019
IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments.
IEEE Access, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Attentive Dual Embedding for Understanding Medical Concepts in Electronic Health Records.
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Proceedings of the Database Systems for Advanced Applications, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
An Explainable Deep Fusion Network for Affect Recognition Using Physiological Signals.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Knowl. Data Eng., 2018
IEEE Trans. Cybern., 2018
J. Intell. Fuzzy Syst., 2018
Explore semantic topics and author communities for citation recommendation in bipartite bibliographic network.
J. Ambient Intell. Humaniz. Comput., 2018
Heterogeneous Information Network Embedding based Personalized Query-Focused Astronomy Reference Paper Recommendation.
Int. J. Comput. Intell. Syst., 2018
Advances in Processing, Mining, and Learning Complex Data: From Foundations to Real-World Applications.
Complex., 2018
Complex., 2018
Low-Rank and Sparse Matrix Factorization for Scientific Paper Recommendation in Heterogeneous Network.
IEEE Access, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the IEEE International Conference on Data Mining, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Exploiting Attribute Correlations: A Novel Trace Lasso-Based Weakly Supervised Dictionary Learning Method.
IEEE Trans. Cybern., 2017
IEEE Trans. Cybern., 2017
Multi-document summarization based on sentence cluster using non-negative matrix factorization.
J. Intell. Fuzzy Syst., 2017
Comput. Networks, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
2016
Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification.
IEEE Trans. Knowl. Data Eng., 2016
Pattern Recognit. Lett., 2016
Pattern Recognit., 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
IEEE Trans. Knowl. Data Eng., 2015
IEEE Trans. Cybern., 2015
Finding the best not the most: regularized loss minimization subgraph selection for graph classification.
Pattern Recognit., 2015
Int. J. Comput. Intell. Syst., 2015
Expert Syst. Appl., 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
2014
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Exploring Features for Complicated Objects: Cross-View Feature Selection for Multi-Instance Learning.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
2013
Proceedings of the IJCAI 2013, 2013
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013
2012
Knowl. Inf. Syst., 2012
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
2010
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010