2024
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model.
IEEE Trans. Neural Networks Learn. Syst., June, 2024
Memory-Augmented Graph Neural Networks: A Brain-Inspired Review.
IEEE Trans. Artif. Intell., May, 2024
Personalized recommendation via inductive spatiotemporal graph neural network.
Pattern Recognit., January, 2024
A Structure-Aware Framework for Learning Device Placements on Computation Graphs.
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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Training for Stable Explanation for Free.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
2023
Explainable survival analysis with uncertainty using convolution-involved vision transformer.
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Comput. Medical Imaging Graph., December, 2023
Line graph contrastive learning for link prediction.
Pattern Recognit., August, 2023
MolHF: Molecular Heterogeneous Attributes Fusion for Drug-Target Affinity Prediction on Heterogeneity.
IEICE Trans. Inf. Syst., May, 2023
A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images.
Comput. Biol. Medicine, March, 2023
Leveraging Reinforcement Learning and Large Language Models for Code Optimization.
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CoRR, 2023
Robust Ranking Explanations.
CoRR, 2023
Community-Enhanced Contrastive Siamese Networks for Graph Representation Learning.
Proceedings of the Knowledge Science, Engineering and Management, 2023
Augmenting Recurrent Graph Neural Networks with a Cache.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
2022
Robust Ranking Explanations.
CoRR, 2022
Memory-Augmented Graph Neural Networks: A Neuroscience Perspective.
CoRR, 2022
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model.
CoRR, 2022
End-to-end Mapping in Heterogeneous Systems Using Graph Representation Learning.
CoRR, 2022
DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Explainable Survival Analysis with Convolution-Involved Vision Transformer.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
CommPOOL: An interpretable graph pooling framework for hierarchical graph representation learning.
Neural Networks, 2021
Deep graph similarity learning: a survey.
Data Min. Knowl. Discov., 2021
PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images.
CoRR, 2021
DistGNN: scalable distributed training for large-scale graph neural networks.
Proceedings of the International Conference for High Performance Computing, 2021
A Distributed Graph-Theoretic Framework for Automatic Parallelization in Multi-core Systems.
Proceedings of the Fourth Conference on Machine Learning and Systems, 2021
Self-learn to Explain Siamese Networks Robustly.
Proceedings of the IEEE International Conference on Data Mining, 2021
Learning Code Representations Using Multifractal-based Graph Networks.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems.
CoRR, 2020
Adversarial Attack on Hierarchical Graph Pooling Neural Networks.
CoRR, 2020
Robust Spammer Detection by Nash Reinforcement Learning.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
2019
Deep Graph Similarity Learning for Brain Data Analysis.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Similarity Learning with Higher-Order Proximity for Brain Network Analysis.
CoRR, 2018
Securing Behavior-based Opinion Spam Detection.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
Kernelized Support Tensor Machines.
Proceedings of the 34th International Conference on Machine Learning, 2017
Multi-view Graph Embedding with Hub Detection for Brain Network Analysis.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Multi-view Clustering with Graph Embedding for Connectome Analysis.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
2016
Spatio-Temporal Tensor Analysis for Whole-Brain fMRI Classification.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Multi-graph Clustering Based on Interior-Node Topology with Applications to Brain Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
2013
Research on Contrastive Viewpoint Summarization for Opinionated Texts.
J. Interconnect. Networks, 2013
2012
Research on Extension LexRank in Summarization for Opinionated Texts.
Proceedings of the 13th International Conference on Parallel and Distributed Computing, 2012
2010
Online Advertising Regulatory Resources Integration: A Framework Based on SOA.
Proceedings of the International Conference on E-Business and E-Government, 2010