Yinjun Wu

Yinjun Wu

University of Pennsylvania

H-index: 10

North America-United States

About Yinjun Wu

Yinjun Wu, With an exceptional h-index of 10 and a recent h-index of 9 (since 2020), a distinguished researcher at University of Pennsylvania, specializes in the field of computer science, provenance, Data science, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Learning to select pivotal samples for meta re-weighting

Rectifying Group Irregularities in Explanations for Distribution Shift

MDB: Interactively Querying Datasets and Models

Do machine learning models learn statistical rules inferred from data?

Provenance-based Model Maintenance: Implications for Privacy.

Towards the Efficient Use of Fine-Grained Provenance in Data Science Applications

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

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

Yinjun Wu Information

University

Position

Ph.D. candidate Department of computer and information science

Citations(all)

600

Citations(since 2020)

552

Cited By

114

hIndex(all)

10

hIndex(since 2020)

9

i10Index(all)

10

i10Index(since 2020)

9

Email

University Profile Page

University of Pennsylvania

Google Scholar

View Google Scholar Profile

Yinjun Wu Skills & Research Interests

computer science

provenance

Data science

machine learning

Top articles of Yinjun Wu

Title

Journal

Author(s)

Publication Date

Learning to select pivotal samples for meta re-weighting

Proceedings of the AAAI Conference on Artificial Intelligence

Yinjun Wu

Adam Stein

Jacob Gardner

Mayur Naik

2023/6/26

Rectifying Group Irregularities in Explanations for Distribution Shift

arXiv preprint arXiv:2305.16308

Adam Stein

Yinjun Wu

Eric Wong

Mayur Naik

2023/5/25

MDB: Interactively Querying Datasets and Models

arXiv preprint arXiv:2308.06686

Aaditya Naik

Adam Stein

Yinjun Wu

Eric Wong

Mayur Naik

2023/8/13

Do machine learning models learn statistical rules inferred from data?

arXiv preprint arXiv:2303.01433

Aaditya Naik

Yinjun Wu

Mayur Naik

Eric Wong

2023/3/2

Provenance-based Model Maintenance: Implications for Privacy.

IEEE Data Eng. Bull.

Yinjun Wu

Val Tannen

Susan B Davidson

2022

Towards the Efficient Use of Fine-Grained Provenance in Data Science Applications

Yinjun Wu

2021

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

arXiv preprint arXiv:2107.08588

Yinjun Wu

James Weimer

Susan B Davidson

2021/7/19

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

...

2021/3/3

Deltagrad: Rapid retraining of machine learning models

Yinjun Wu

Edgar Dobriban

Susan Davidson

2020/11/21

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

2020/6/15

Priu: A provenance-based approach for incrementally updating regression models

Yinjun Wu

Val Tannen

Susan B Davidson

2020/6/11

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

Database

Peter Buneman

Greig Christie

Jamie A Davies

Roza Dimitrellou

Simon D Harding

...

2020

See List of Professors in Yinjun Wu University(University of Pennsylvania)

Co-Authors

H-index: 51
Susan Davidson

Susan Davidson

University of Pennsylvania

H-index: 22
Zhen Chen

Zhen Chen

Tsinghua University

H-index: 20
Gianmaria Silvello

Gianmaria Silvello

Università degli Studi di Padova

H-index: 9
Abdussalam Alawini

Abdussalam Alawini

University of Illinois at Urbana-Champaign

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