Jennifer Dy

About Jennifer Dy

Jennifer Dy, With an exceptional h-index of 55 and a recent h-index of 42 (since 2020), a distinguished researcher at North Eastern University, specializes in the field of Machine Learning and Data Mining.

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

ADAPT to Robustify Prompt Tuning Vision Transformers

High-precision regressors for particle physics

SmoothHess: ReLU Network Feature Interactions via Stein's Lemma

Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions

Blood-based transcriptomic and proteomic biomarkers of emphysema

Boundary-Aware Uncertainty for Feature Attribution Explainers

Multiverse at the edge: Interacting real world and digital twins for wireless beamforming

Self-supervised denoising of Nyquist-sampled volumetric images via deep learning

Jennifer Dy Information

University

Position

Electrical and Computer Engineering

Citations(all)

14011

Citations(since 2020)

7608

Cited By

8769

hIndex(all)

55

hIndex(since 2020)

42

i10Index(all)

156

i10Index(since 2020)

126

Email

University Profile Page

Google Scholar

Jennifer Dy Skills & Research Interests

Machine Learning and Data Mining

Top articles of Jennifer Dy

Title

Journal

Author(s)

Publication Date

ADAPT to Robustify Prompt Tuning Vision Transformers

arXiv preprint arXiv:2403.13196

Masih Eskandar

Tooba Imtiaz

Zifeng Wang

Jennifer Dy

2024/3/19

High-precision regressors for particle physics

Scientific Reports

Fady Bishara

Ayan Paul

Jennifer Dy

2024/3/4

SmoothHess: ReLU Network Feature Interactions via Stein's Lemma

Advances in Neural Information Processing Systems

Max Torop

Aria Masoomi

Davin Hill

Kivanc Kose

Stratis Ioannidis

...

2024/2/13

Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions

Zulqarnain Q Khan

Davin Hill

Aria Masoomi

Joshua T Bone

Jennifer Dy

2024/4/18

Blood-based transcriptomic and proteomic biomarkers of emphysema

American Journal of Respiratory and Critical Care Medicine

Rahul Suryadevara

Andrew Gregory

Robin Lu

Zhonghui Xu

Aria Masoomi

...

2024/2/1

Boundary-Aware Uncertainty for Feature Attribution Explainers

Davin Hill

Aria Masoomi

Max Torop

Sandesh Ghimire

Jennifer Dy

2024/4/18

Multiverse at the edge: Interacting real world and digital twins for wireless beamforming

IEEE/ACM Transactions on Networking

Batool Salehi

Utku Demir

Debashri Roy

Suyash Pradhan

Jennifer Dy

...

2024/3/25

Self-supervised denoising of Nyquist-sampled volumetric images via deep learning

Journal of Medical Imaging

Matthew B Applegate

Kivanc Kose

Sandesh Ghimire

Milind Rajadhyaksha

Jennifer Dy

2023/3/1

Novel, accurate pathogen sensors for fast detection of SARS-CoV-2 in the aerosol in seconds for a breathalyzer platform

Biosensors and Bioelectronics: X

Xiaoling Shi

Pardis Sadeghi

Nader Lobandi

Shadi Emam

Seyed Mahdi Seyed Abrishami

...

2023/9/1

Geometry of score based generative models

arXiv preprint arXiv:2302.04411

Sandesh Ghimire

Jinyang Liu

Armand Comas

Davin Hill

Aria Masoomi

...

2023/2/9

DualHSIC: HSIC-bottleneck and alignment for continual learning

Zifeng Wang

Zheng Zhan

Yifan Gong

Yucai Shao

Stratis Ioannidis

...

2023/7/3

Divide and Compose with Score Based Generative Models

arXiv preprint arXiv:2302.02272

Sandesh Ghimire

Armand Comas

Davin Hill

Aria Masoomi

Octavia Camps

...

2023/2/5

Deep learning utilizing suboptimal spirometry data to improve lung function and mortality prediction in the UK Biobank

medRxiv

Davin Hill

Max Torop

Aria Masoomi

Peter J Castaldi

Edwin K Silverman

...

2023/4/29

Explainable deep learning for insights in El Niño and river flows

Nature Communications

Yumin Liu

Kate Duffy

Jennifer G Dy

Auroop R Ganguly

2023/1/20

Explanations of black-box models based on directional feature interactions

arXiv preprint arXiv:2304.07670

Aria Masoomi

Davin Hill

Zhonghui Xu

Craig P Hersh

Edwin K Silverman

...

2023/4/16

Transforming complex problems into K-means solutions

Hongfu Liu

Junxiang Chen

Jennifer Dy

Yun Fu

2023/1/17

Graph transfer learning

Knowledge and Information Systems

Andrey Gritsenko

Kimia Shayestehfard

Yuan Guo

Armin Moharrer

Jennifer Dy

...

2023/4

Polygenic and transcriptional risk scores identify chronic obstructive pulmonary disease subtypes

Matthew Moll

Julian Hecker

John Platig

Auyon Ghosh

Katherine Pratte

...

2023/9/9

SAIF: Sparse Adversarial and Imperceptible Attack Framework

Tooba Imtiaz

Morgan R Kohler

Jared F Miller

Zifeng Wang

Mario Sznaier

...

2022/12/14

Machine Learning Prediction of Progression in FEV1 in the COPDGene Study

medRxiv

Adel Boueiz

Zhonghui Xu

Yale Chang

Aria Masoomi

Andrew Gregory

...

2022/1/11

See List of Professors in Jennifer Dy University(North Eastern University)