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A Survey on Causal Inference

ACM transactions on knowledge discovery from data, 2021-06, Vol.15 (5), p.1-46

2021

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CBN: Constructing a clinical Bayesian network based on data from the electronic medical record

Journal of biomedical informatics, 2018-12, Vol.88, p.1-10

2018

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Conflicts to Harmony: A Framework for Resolving Conflicts in Heterogeneous Data by Truth Discovery

IEEE transactions on knowledge and data engineering, 2016-08, Vol.28 (8), p.1986-1999

2016

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A lightweight privacy-preserving truth discovery framework for mobile crowd sensing systems

IEEE INFOCOM 2017 - IEEE Conference on Computer Communications, 2017, p.1-9

2017

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Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier

BMC bioinformatics, 2019-06, Vol.20 (1), p.330-330, Article 330

2019

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KMR: knowledge-oriented medicine representation learning for drug–drug interaction and similarity computation

Journal of cheminformatics, 2019-03, Vol.11 (1), p.22-16, Article 22

2019

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Multi-grained hypergraph interest modeling for conversational recommendation

AI open, 2023, Vol.4, p.154-164

2023

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Modeling Relation Paths for Knowledge Graph Completion

IEEE transactions on knowledge and data engineering, 2021-11, Vol.33 (11), p.3607-3617

2021

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A confidence-aware approach for truth discovery on long-tail data

Proceedings of the VLDB Endowment, 2014-12, Vol.8 (4), p.425-436

2014

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Toward Personalized Answer Generation in E-Commerce via Multi-perspective Preference Modeling

ACM transactions on information systems, 2022-10, Vol.40 (4), p.1-28

2022

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Gastroenterology Ontology Construction Using Synonym Identification and Relation Extraction

IEEE access, 2018-01, Vol.6, p.52095-52104

2018

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Leveraging Long Short-Term User Preference in Conversational Recommendation Via Multi-Agent Reinforcement Learning

IEEE transactions on knowledge and data engineering, 2023-11, Vol.35 (11), p.1-14

2023

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When Transformer Meets Large Graphs: An Expressive and Efficient Two-View Architecture

IEEE transactions on knowledge and data engineering, 2024, p.1-13

2024

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LOKI: A Practical Data Poisoning Attack Framework Against Next Item Recommendations

IEEE transactions on knowledge and data engineering, 2023-05, Vol.35 (5), p.5047-5059

2023

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Privacy-preserving Cross-domain Recommendation with Federated Graph Learning

ACM transactions on information systems, 2024-09, Vol.42 (5), p.1-29, Article 135

2024

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Concept-Level Model Interpretation From the Causal Aspect

IEEE transactions on knowledge and data engineering, 2023-09, Vol.35 (9), p.8799-8810

2023

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Functionality and Data Stealing by Pseudo-Client Attack and Target Defenses in Split Learning

IEEE transactions on dependable and secure computing, 2024, p.1-16

2024

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Knowledge-Based Reasoning Network for Relation Detection

IEEE transaction on neural networks and learning systems, 2023-08, Vol.34 (8), p.5051-5063

2023

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Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation

Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data, 2014, p.1187-1198

2014

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FederatedScope: A Flexible Federated Learning Platform for Heterogeneity

Proceedings of the VLDB Endowment, 2023-01, Vol.16 (5), p.1059-1072

2023

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Performance-Based Pricing for Federated Learning via Auction

Proceedings of the VLDB Endowment, 2024-02, Vol.17 (6), p.1269-1282

2024

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FS-Real: A Real-World Cross-Device Federated Learning Platform

Proceedings of the VLDB Endowment, 2023-08, Vol.16 (12), p.4046-4049

2023

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Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation

Proceedings of the VLDB Endowment, 2024-01, Vol.17 (5), p.1132-1145

2024

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Knowledge-Guided Disentangled Representation Learning for Recommender Systems

ACM transactions on information systems, 2022-01, Vol.40 (1), p.1-26, Article 6

2022

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VolcanoML: speeding up end-to-end AutoML via scalable search space decomposition

Proceedings of the VLDB Endowment, 2021-07, Vol.14 (11), p.2167-2176

2021

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A Survey on Causal Inference

CBN: Constructing a clinical Bayesian network based on data from the electronic medical record

Conflicts to Harmony: A Framework for Resolving Conflicts in Heterogeneous Data by Truth Discovery

A lightweight privacy-preserving truth discovery framework for mobile crowd sensing systems

Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier

KMR: knowledge-oriented medicine representation learning for drug–drug interaction and similarity computation

Multi-grained hypergraph interest modeling for conversational recommendation

Modeling Relation Paths for Knowledge Graph Completion

A confidence-aware approach for truth discovery on long-tail data

Toward Personalized Answer Generation in E-Commerce via Multi-perspective Preference Modeling

Gastroenterology Ontology Construction Using Synonym Identification and Relation Extraction

Leveraging Long Short-Term User Preference in Conversational Recommendation Via Multi-Agent Reinforcement Learning

When Transformer Meets Large Graphs: An Expressive and Efficient Two-View Architecture

LOKI: A Practical Data Poisoning Attack Framework Against Next Item Recommendations

Privacy-preserving Cross-domain Recommendation with Federated Graph Learning

Concept-Level Model Interpretation From the Causal Aspect

Functionality and Data Stealing by Pseudo-Client Attack and Target Defenses in Split Learning

Knowledge-Based Reasoning Network for Relation Detection

Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation

FederatedScope: A Flexible Federated Learning Platform for Heterogeneity

Performance-Based Pricing for Federated Learning via Auction

FS-Real: A Real-World Cross-Device Federated Learning Platform

Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation

Knowledge-Guided Disentangled Representation Learning for Recommender Systems

VolcanoML: speeding up end-to-end AutoML via scalable search space decomposition

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