Xiaoye Miao

Orcid: 0000-0002-8632-1539

According to our database1, Xiaoye Miao authored at least 50 papers between 2013 and 2024.

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Bibliography

2024
Differentiable and Scalable Generative Adversarial Models for Data Imputation.
IEEE Trans. Knowl. Data Eng., February, 2024

2023
A dual-modal graph learning framework for identifying interaction events among chemical and biotech drugs.
Briefings Bioinform., September, 2023

An Experimental Survey of Missing Data Imputation Algorithms.
IEEE Trans. Knowl. Data Eng., July, 2023

On Dynamically Pricing Crowdsourcing Tasks.
ACM Trans. Knowl. Discov. Data, February, 2023

Efficient and Effective Cardinality Estimation for Skyline Family.
Proc. ACM Manag. Data, 2023

Indexing Metric Spaces for Exact Similarity Search.
ACM Comput. Surv., 2023

Automatic Data Repair: Are We Ready to Deploy?
CoRR, 2023

Modern Data Pricing Models: Taxonomy and Comprehensive Survey.
CoRR, 2023

Reallocation Mechanisms Under Distributional Constraints in the Full Preference Domain.
Proceedings of the Web and Internet Economics - 19th International Conference, 2023

An Efficient Generative Data Imputation Toolbox with Adversarial Learning.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Pricing Prediction Services for Profit Maximization with Incomplete Information.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Jointly Imputing Multi-View Data with Optimal Transport.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Towards Query Pricing on Incomplete Data.
IEEE Trans. Knowl. Data Eng., 2022

A Hybrid Data Cleaning Framework Using Markov Logic Networks.
IEEE Trans. Knowl. Data Eng., 2022

Prediction of Maximum Absorption Wavelength Using Deep Neural Networks.
J. Chem. Inf. Model., 2022

Maximizing Time-aware Welfare for Mixed Items.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Reliable Community Search on Uncertain Graphs.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

An Interactive Data Imputation System.
Proceedings of the Database Systems for Advanced Applications, 2022

2021
Answering Skyline Queries Over Incomplete Data With Crowdsourcing.
IEEE Trans. Knowl. Data Eng., 2021

Efficient and Effective Data Imputation with Influence Functions.
Proc. VLDB Endow., 2021

A trust-aware latent space mapping approach for cross-domain recommendation.
Neurocomputing, 2021

Towards Query Pricing on Incomplete Data (Extended Abstract).
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

A Hybrid Data Cleaning Framework Using Markov Logic Networks (Extended Abstract).
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Generative Semi-supervised Learning for Multivariate Time Series Imputation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
On Efficiently Monitoring Continuous Aggregate k Nearest Neighbors in Road Networks.
IEEE Trans. Mob. Comput., 2020

Collaborative topological filtering with multi-hop recurrent pathological aggregation.
Knowl. Based Syst., 2020

Indexing Metric Spaces for Exact Similarity Search.
CoRR, 2020

KGClean: An Embedding Powered Knowledge Graph Cleaning Framework.
CoRR, 2020

CoMing: A Real-time Co-Movement Mining System for Streaming Trajectories.
Proceedings of the 2020 International Conference on Management of Data, 2020

Answering Skyline Queries over Incomplete Data with Crowdsourcing(Extended Abstract).
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
IHCS: An Integrated Hybrid Cleaning System.
Proc. VLDB Endow., 2019

Real-time Distributed Co-Movement Pattern Detection on Streaming Trajectories.
Proc. VLDB Endow., 2019

A Hybrid Data Cleaning Framework using Markov Logic Networks.
CoRR, 2019

Optimizing Quality for Probabilistic Skyline Computation and Probabilistic Similarity Search (Extended Abstract).
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

On Efficiently Answering Why-Not Range-Based Skyline Queries in Road Networks (Extended Abstract).
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018
Query Processing over Incomplete Databases
Synthesis Lectures on Data Management, Morgan & Claypool Publishers, ISBN: 978-3-031-01863-3, 2018

Optimizing Quality for Probabilistic Skyline Computation and Probabilistic Similarity Search.
IEEE Trans. Knowl. Data Eng., 2018

On Efficiently Answering Why-Not Range-Based Skyline Queries in Road Networks.
IEEE Trans. Knowl. Data Eng., 2018

Incomplete data management: a survey.
Frontiers Comput. Sci., 2018

2017
Continuous range-based skyline queries in road networks.
World Wide Web, 2017

On efficiently finding reverse k-nearest neighbors over uncertain graphs.
VLDB J., 2017

2016
Efficient group-by reverse skyline computation.
World Wide Web, 2016

Top-k Dominating Queries on Incomplete Data.
IEEE Trans. Knowl. Data Eng., 2016

Processing Incomplete k Nearest Neighbor Search.
IEEE Trans. Fuzzy Syst., 2016

SI2P: A Restaurant Recommendation System Using Preference Queries over Incomplete Information.
Proc. VLDB Endow., 2016

k-dominant skyline queries on incomplete data.
Inf. Sci., 2016

Reverse k-nearest neighbor search in the presence of obstacles.
Inf. Sci., 2016

2014
Processing k-skyband, constrained skyline, and group-by skyline queries on incomplete data.
Expert Syst. Appl., 2014

2013
On Efficient k-Skyband Query Processing over Incomplete Data.
Proceedings of the Database Systems for Advanced Applications, 2013

Parallel k-Skyband Computation on Multicore Architecture.
Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013


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