Qian Li

Knowl. Based Syst., 2024

Neural Causal Graph collaborative filtering.

[BibT_eX]

[DOI]

Inf. Sci., 2024

Achieving counterfactual fairness with imperfect structural causal model.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Counterfactual Debasing for Multi-behavior Recommendations.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2024

2023

Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., October, 2023

Causal Disentanglement for Semantic-Aware Intent Learning in Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., October, 2023

Causal Optimal Transport for Treatment Effect Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., August, 2023

How the four-nodes motifs work in heterogeneous node representation?

[BibT_eX]

[DOI]

World Wide Web (WWW), July, 2023

Heterogeneous graphlets-guided network embedding via eulerian-trail-based representation.

[BibT_eX]

[DOI]

Inf. Sci., April, 2023

Deconfounded recommendation via causal intervention.

[BibT_eX]

[DOI]

Neurocomputing, April, 2023

Be Causal: De-Biasing Social Network Confounding in Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, January, 2023

Causal Neural Graph Collaborative Filtering.

[BibT_eX]

[DOI]

CoRR, 2023

Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

SGCCL: Siamese Graph Contrastive Consensus Learning for Personalized Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Toward Explainable Recommendation via Counterfactual Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data Using Normalizing Flows.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Dynamic Communications Network Linking Prediction by Disseminating Event Embedding.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Web Services, 2023

Causality-guided Graph Learning for Session-based Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

API-GNN: attribute preserving oriented interactive graph neural network.

[BibT_eX]

[DOI]

World Wide Web, 2022

Deep treatment-adaptive network for causal inference.

[BibT_eX]

[DOI]

VLDB J., 2022

V-SVR+: Support Vector Regression With Variational Privileged Information.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2022

Privileged multi-task learning for attribute-aware aesthetic assessment.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Stochastic intervention for causal inference via reinforcement learning.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Reinforced Path Reasoning for Counterfactual Explainable Recommendation.

[BibT_eX]

[DOI]

CoRR, 2022

Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation.

[BibT_eX]

[DOI]

CoRR, 2022

Off-policy Learning over Heterogeneous Information for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

MGPolicy: Meta Graph Enhanced Off-policy Learning for Recommendations.

[BibT_eX]

[DOI]

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

Semantics-Guided Disentangled Learning for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Task-level Relations Modelling for Graph Meta-learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

RLINK: Deep reinforcement learning for user identity linkage.

[BibT_eX]

[DOI]

World Wide Web, 2021

Reward Space Noise for Exploration in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 2021

Leveraging multi-level dependency of relational sequences for social spammer detection.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Be Causal: De-biasing Social Network Confounding in Recommendation.

[BibT_eX]

[DOI]

Xiangmeng Wang

CoRR, 2021

Prototype-based Counterfactual Explanation for Causal Classification.

[BibT_eX]

[DOI]

CoRR, 2021

Stochastic Intervention for Causal Effect Estimation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Hilbert Sinkhorn Divergence for Optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Causal-Aware Generative Imputation for Automated Underwriting.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Learning with privileged information for photo aesthetic assessment.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Causality Learning: A New Perspective for Interpretable Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Joint Relational Dependency Learning for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

2019

Joint Entity Linking with Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Polynomial Representation for Persistence Diagram.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Prediction and Analysis of Rumour's Impact on Social Media.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Behavioral, 2019

2017

Boosting imbalanced data learning with Wiener process oversampling.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2017

Learning Robust Low-Rank Approximation for Crowdsourcing on Riemannian Manifold.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Science, 2017

Riemannian Submanifold Tracking on Low-Rank Algebraic Variety.

[BibT_eX]

[DOI]

Zhichao Wang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Exploring probabilistic follow relationship to prevent collusive peer-to-peer piracy.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2016

Riemannian optimization with subspace tracking for low-rank recovery.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Recover Fault Services via Complex Service-to-Node Mappings in Wireless Sensor Networks.

[BibT_eX]

[DOI]

J. Netw. Syst. Manag., 2015

Lingo: Linearized Grassmannian Optimization for Nuclear Norm Minimization.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014

A block-aware hybrid data dissemination with hotspot elimination in wireless sensor network.

[BibT_eX]

[DOI]

Athanasios V. Vasilakos

Li Guo

J. Netw. Comput. Appl., 2014

2012

Comparative Analysis of Clustering Protocols with Probabilistic Model Checking.

[BibT_eX]

[DOI]

Proceedings of the Sixth International Symposium on Theoretical Aspects of Software Engineering, 2012

A cooperative construction approach for SaaS applications.

[BibT_eX]

[DOI]