Yinjun Wu

According to our database, Yinjun Wu authored at least 23 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

TorchQL: A Programming Framework for Integrity Constraints in Machine Learning.

Aaditya Naik, Adam Stein, Yinjun Wu, Mayur Naik, Eric Wong

Proc. ACM Program. Lang., 2024

DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation.

Yinjun Wu, Mayank Keoliya, Kan Chen, Neelay Velingker, Ziyang Li, Emily J. Getzen, Qi Long, Mayur Naik, Ravi B. Parikh, Eric Wong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Compositionality in Concept Learning.

Adam Stein, Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

MDB: Interactively Querying Datasets and Models.

Aaditya Naik, Adam Stein, Yinjun Wu, Eric Wong, Mayur Naik

CoRR, 2023

Rectifying Group Irregularities in Explanations for Distribution Shift.

Adam Stein, Yinjun Wu, Eric Wong, Mayur Naik

CoRR, 2023

Do Machine Learning Models Learn Common Sense?

Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong

CoRR, 2023

Do Machine Learning Models Learn Statistical Rules Inferred from Data?

Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong

Proceedings of the International Conference on Machine Learning, 2023

Learning to Select Pivotal Samples for Meta Re-weighting.

Yinjun Wu, Adam Stein, Jacob Gardner, Mayur Naik

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Provenance-based Model Maintenance: Implications for Privacy.

Yinjun Wu, Val Tannen, Susan B. Davidson

IEEE Data Eng. Bull., 2022

2021

CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties.

Yinjun Wu, James Weimer, Susan B. Davidson

Proc. VLDB Endow., 2021

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

Yinjun Wu, James Weimer, Susan B. Davidson

CoRR, 2021

Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series.

Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Why data citation isn't working, and what to do about it.

Peter Buneman, Greig Christie, Jamie A. Davies, Roza Dimitrellou, Simon D. Harding, Adam J. Pawson, Joanna L. Sharman, Yinjun Wu

Database J. Biol. Databases Curation, 2020

PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models.

Yinjun Wu, Val Tannen, Susan B. Davidson

Proceedings of the 2020 International Conference on Management of Data, 2020

DeltaGrad: Rapid retraining of machine learning models.

Yinjun Wu, Edgar Dobriban, Susan B. Davidson

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.

Yinjun Wu, Kwanghyun Park, Rathijit Sen, Brian Kroth, Jaeyoung Do

Proceedings of the 16th International Workshop on Data Management on New Hardware, 2020

2019

ProvCite: Provenance-based Data Citation.

Yinjun Wu, Abdussalam Alawini, Daniel Deutch, Tova Milo, Susan B. Davidson

Proc. VLDB Endow., 2019

2018

Data Citation: A New Provenance Challenge.

Abdussalam Alawini, Susan B. Davidson, Gianmaria Silvello, Val Tannen, Yinjun Wu

IEEE Data Eng. Bull., 2018

Data Citation: Giving Credit Where Credit is Due.

Yinjun Wu, Abdussalam Alawini, Susan B. Davidson, Gianmaria Silvello

Proceedings of the 2018 International Conference on Management of Data, 2018

2017

Automating Data Citation in CiteDB.

Abdussalam Alawini, Susan B. Davidson, Wei Hu, Yinjun Wu

Proc. VLDB Endow., 2017

2016

CAMP: A New Bitmap Index for Data Retrieval in Traffic Archival.

Yinjun Wu, Zhen Chen, Junwei Cao, Haoxun Li, Chenxing Li, Yijie Wang, Wenxun Zheng, Jiahui Chang, Jing Zhou, Ziwei Hu, Jinghong Guo

IEEE Commun. Lett., 2016

BAH: A Bitmap Index Compression Algorithm for Fast Data Retrieval.

Chenxing Li, Zhen Chen, Wenxun Zheng, Yinjun Wu, Junwei Cao

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.

Yinjun Wu, Zhen Chen, Yuhao Wen, Junwei Cao, Wenxun Zheng, Ge Ma

Proceedings of the 24th International Conference on Computer Communication and Networks, 2015