Dina Katabi

Dina Katabi

Massachusetts Institute of Technology

H-index: 90

North America-United States

About Dina Katabi

Dina Katabi, With an exceptional h-index of 90 and a recent h-index of 66 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Networks, Wireless, Network Coding.

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

Rank-N-Contrast: Learning Continuous Representations for Regression

Improving clip training with language rewrites

Learning vision from models rivals learning vision from data

Contactless Oxygen Monitoring with Radio Waves and Gated Transformer

The Limits of Fair Medical Imaging AI In The Wild

On Mitigating Shortcut Learning for Fair Chest X-ray Classification under Distribution Shift

Scaling laws of synthetic images for model training... for now

Self-conditioned Image Generation via Generating Representations

Dina Katabi Information

University

Position

Professor of EECS

Citations(all)

37813

Citations(since 2020)

14189

Cited By

29651

hIndex(all)

90

hIndex(since 2020)

66

i10Index(all)

176

i10Index(since 2020)

140

Email

University Profile Page

Google Scholar

Dina Katabi Skills & Research Interests

Networks

Wireless

Network Coding

Top articles of Dina Katabi

Rank-N-Contrast: Learning Continuous Representations for Regression

2023/11/2

Improving clip training with language rewrites

NeurIPS 2023

2023/5/31

Learning vision from models rivals learning vision from data

arXiv preprint arXiv:2312.17742

2023/12/28

Contactless Oxygen Monitoring with Radio Waves and Gated Transformer

2023/12/22

The Limits of Fair Medical Imaging AI In The Wild

arXiv preprint arXiv:2312.10083

2023/12/11

On Mitigating Shortcut Learning for Fair Chest X-ray Classification under Distribution Shift

2023/12/7

Scaling laws of synthetic images for model training... for now

arXiv preprint arXiv:2312.04567

2023/12/7

Self-conditioned Image Generation via Generating Representations

arXiv preprint arXiv:2312.03701

2023/12/6

Tianhong Li
Tianhong Li

H-Index: 8

Dina Katabi
Dina Katabi

H-Index: 58

System and method for wireless detection and measurement of a subject rising from rest

2023/12/5

Digital Phenotyping of Autoimmune Diseases Using Non-Contact Radio Frequency Sensing: A Longitudinal Study Comparing Systemic Lupus Erythematosus and Healthy Participants

2023/10/8

Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency

arXiv preprint arXiv:2310.03734

2023/10/5

Method and System for Detection of Inflammatory Conditions

2023/9/28

Adversarial Continual Learning to Transfer Self-Supervised Speech Representations for Voice Pathology Detection

IEEE Signal Processing Letters

2023/7/24

Dina Katabi
Dina Katabi

H-Index: 58

Reparo: Loss-resilient generative codec for video conferencing

arXiv preprint arXiv:2305.14135

2023/5/23

Change is hard: A closer look at subpopulation shift

International Conference on Machine Learning (ICML)

2023/7/23

Unsupervised Object Localization with Representer Point Selection

2023

Dina Katabi
Dina Katabi

H-Index: 58

Mage: Masked generative encoder to unify representation learning and image synthesis

2023

Addressing feature suppression in unsupervised visual representations

2023

Unsupervised learning for human sensing using radio signals

2022

Unsupervised domain generalization by learning a bridge across domains

IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2022

2021/12/4

See List of Professors in Dina Katabi University(Massachusetts Institute of Technology)

Co-Authors

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