Yinjun Wu

According to our database1, Yinjun Wu authored at least 20 papers between 2015 and 2023.

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Bibliography

2023
MDB: Interactively Querying Datasets and Models.
CoRR, 2023

Rectifying Group Irregularities in Explanations for Distribution Shift.
CoRR, 2023

Do Machine Learning Models Learn Common Sense?
CoRR, 2023

Do Machine Learning Models Learn Statistical Rules Inferred from Data?
Proceedings of the International Conference on Machine Learning, 2023

Learning to Select Pivotal Samples for Meta Re-weighting.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Provenance-based Model Maintenance: Implications for Privacy.
IEEE Data Eng. Bull., 2022

2021
CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties.
Proc. VLDB Endow., 2021

CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties (Technical Report).
CoRR, 2021

Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Why data citation isn't working, and what to do about it.
Database J. Biol. Databases Curation, 2020

PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models.
Proceedings of the 2020 International Conference on Management of Data, 2020

DeltaGrad: Rapid retraining of machine learning models.
Proceedings of the 37th International Conference on Machine Learning, 2020

Lessons learned from the early performance evaluation of Intel optane DC persistent memory in DBMS.
Proceedings of the 16th International Workshop on Data Management on New Hardware, 2020

2019
ProvCite: Provenance-based Data Citation.
Proc. VLDB Endow., 2019

2018
Data Citation: A New Provenance Challenge.
IEEE Data Eng. Bull., 2018

Data Citation: Giving Credit Where Credit is Due.
Proceedings of the 2018 International Conference on Management of Data, 2018

2017
Automating Data Citation in CiteDB.
Proc. VLDB Endow., 2017

2016
CAMP: A New Bitmap Index for Data Retrieval in Traffic Archival.
IEEE Commun. Lett., 2016

BAH: A Bitmap Index Compression Algorithm for Fast Data Retrieval.
Proceedings of the 41st IEEE Conference on Local Computer Networks, 2016

2015
A General Analytical Model for Spatial and Temporal Performance of Bitmap Index Compression Algorithms in Big Data.
Proceedings of the 24th International Conference on Computer Communication and Networks, 2015


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