Yinjun Wu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 27

Top Topics

Compression Algorithm

Machine Learning Models

Top Venues

Proc. VLDB Endow.

Publications

Adam Stein, Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong
Towards Compositionality in Concept Learning. CoRR (2024)
Yinjun Wu, Mayank Keoliya, Kan Chen, Neelay Velingker, Ziyang Li, Emily J. Getzen, Qi Long, Mayur Naik, Ravi B. Parikh, Eric Wong
DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation. CoRR (2024)
Aaditya Naik, Adam Stein, Yinjun Wu, Mayur Naik, Eric Wong
TorchQL: A Programming Framework for Integrity Constraints in Machine Learning. Proc. ACM Program. Lang. 8 (OOPSLA1) (2024)
Adam Stein, Yinjun Wu, Eric Wong, Mayur Naik
Rectifying Group Irregularities in Explanations for Distribution Shift. CoRR (2023)
Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong
Do Machine Learning Models Learn Statistical Rules Inferred from Data? ICML (2023)
Aaditya Naik, Adam Stein, Yinjun Wu, Eric Wong, Mayur Naik
MDB: Interactively Querying Datasets and Models. CoRR (2023)
Yinjun Wu, Adam Stein, Jacob Gardner, Mayur Naik
Learning to Select Pivotal Samples for Meta Re-weighting. AAAI (2023)
Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong
Do Machine Learning Models Learn Common Sense? CoRR (2023)
Yinjun Wu, Adam Stein, Jacob Gardner, Mayur Naik
Learning to Select Pivotal Samples for Meta Re-weighting. CoRR (2023)
Yinjun Wu, Val Tannen, Susan B. Davidson
Provenance-based Model Maintenance: Implications for Privacy. IEEE Data Eng. Bull. 45 (1) (2022)
Yinjun Wu, James Weimer, Susan B. Davidson
CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties. Proc. VLDB Endow. 14 (11) (2021)
Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. AAAI (2021)
Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. CoRR (2021)
Yinjun Wu, James Weimer, Susan B. Davidson
CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties (Technical Report). CoRR (2021)
Peter Buneman, Greig Christie, Jamie A. Davies, Roza Dimitrellou, Simon D. Harding, Adam J. Pawson, Joanna L. Sharman, Yinjun Wu
Why data citation isn't working, and what to do about it. Database J. Biol. Databases Curation 2020 (2020)
Yinjun Wu, Val Tannen, Susan B. Davidson
PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models. CoRR (2020)
Yinjun Wu, Edgar Dobriban, Susan B. Davidson
DeltaGrad: Rapid retraining of machine learning models. CoRR (2020)
Yinjun Wu, Val Tannen, Susan B. Davidson
PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models. SIGMOD Conference (2020)
Yinjun Wu, Kwanghyun Park, Rathijit Sen, Brian Kroth, Jaeyoung Do
Lessons learned from the early performance evaluation of Intel optane DC persistent memory in DBMS. DaMoN (2020)
Yinjun Wu, Edgar Dobriban, Susan B. Davidson
DeltaGrad: Rapid retraining of machine learning models. ICML (2020)
Yinjun Wu, Kwanghyun Park, Rathijit Sen, Brian Kroth, Jaeyoung Do
Lessons learned from the early performance evaluation of Intel Optane DC Persistent Memory in DBMS. CoRR (2020)
Yinjun Wu, Abdussalam Alawini, Daniel Deutch, Tova Milo, Susan B. Davidson
ProvCite: Provenance-based Data Citation. Proc. VLDB Endow. 12 (7) (2019)
Abdussalam Alawini, Susan B. Davidson, Gianmaria Silvello, Val Tannen, Yinjun Wu
Data Citation: A New Provenance Challenge. IEEE Data Eng. Bull. 41 (1) (2018)
Yinjun Wu, Abdussalam Alawini, Susan B. Davidson, Gianmaria Silvello
Data Citation: Giving Credit Where Credit is Due. SIGMOD Conference (2018)
Abdussalam Alawini, Susan B. Davidson, Wei Hu, Yinjun Wu
Automating Data Citation in CiteDB. Proc. VLDB Endow. 10 (12) (2017)
Chenxing Li, Zhen Chen, Wenxun Zheng, Yinjun Wu, Junwei Cao
BAH: A Bitmap Index Compression Algorithm for Fast Data Retrieval. LCN (2016)
Yinjun Wu, Zhen Chen, Junwei Cao, Haoxun Li, Chenxing Li, Yijie Wang, Wenxun Zheng, Jiahui Chang, Jing Zhou, Ziwei Hu, Jinghong Guo
CAMP: A New Bitmap Index for Data Retrieval in Traffic Archival. IEEE Commun. Lett. 20 (6) (2016)
Yinjun Wu, Zhen Chen, Yuhao Wen, Junwei Cao, Wenxun Zheng, Ge Ma
A General Analytical Model for Spatial and Temporal Performance of Bitmap Index Compression Algorithms in Big Data. ICCCN (2015)