Steven Y. Feng

Steven Y. Feng

Carnegie Mellon University

H-index: 8

North America-United States

About Steven Y. Feng

Steven Y. Feng, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Artificial.

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

PINEAPPLE: Personifying INanimate Entities by Acquiring Parallel Personification data for Learning Enhanced generation

PANCETTA: Phoneme Aware Neural Completion to Elicit Tongue Twisters Automatically

CHARD: Clinical Health-Aware Reasoning Across Dimensions for Text Generation Models

A Survey of Data Augmentation Approaches for NLP

Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models

NAREOR: The Narrative Reordering Problem

SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation

GenAug: Data Augmentation for Finetuning Text Generators

Steven Y. Feng Information

University

Position

Graduate Student (CMU)

Citations(all)

793

Citations(since 2020)

792

Cited By

7

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Steven Y. Feng Skills & Research Interests

Machine Learning

Deep Learning

Natural Language Processing

Computer Vision

Artificial

Top articles of Steven Y. Feng

Title

Journal

Author(s)

Publication Date

PINEAPPLE: Personifying INanimate Entities by Acquiring Parallel Personification data for Learning Enhanced generation

arXiv preprint arXiv:2209.07752

Sedrick Scott Keh

Kevin Lu

Varun Gangal

Steven Y Feng

Harsh Jhamtani

...

2022/9/16

PANCETTA: Phoneme Aware Neural Completion to Elicit Tongue Twisters Automatically

arXiv preprint arXiv:2209.06275

Sedrick Scott Keh

Steven Y Feng

Varun Gangal

Malihe Alikhani

Eduard Hovy

2022/9/13

CHARD: Clinical Health-Aware Reasoning Across Dimensions for Text Generation Models

arXiv preprint arXiv:2210.04191

Steven Y Feng

Vivek Khetan

Bogdan Sacaleanu

Anatole Gershman

Eduard Hovy

2022/10/9

A Survey of Data Augmentation Approaches for NLP

arXiv preprint arXiv:2105.03075

Steven Y Feng

Varun Gangal

Jason Wei

Sarath Chandar

Soroush Vosoughi

...

2021/5/7

Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models

Proceedings of the AAAI Conference on Artificial Intelligence

Steven Y Feng

Kevin Lu

Zhuofu Tao

Malihe Alikhani

Teruko Mitamura

...

2022/6/28

NAREOR: The Narrative Reordering Problem

Proceedings of the AAAI Conference on Artificial Intelligence

Varun Gangal

Steven Y Feng

Malihe Alikhani

Teruko Mitamura

Eduard Hovy

2022/6/28

SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation

Steven Y Feng

Jessica Huynh

Chaitanya Narisetty

Eduard Hovy

Varun Gangal

2021/8/15

GenAug: Data Augmentation for Finetuning Text Generators

arXiv preprint arXiv:2010.01794

Steven Y Feng

Varun Gangal

Dongyeop Kang

Teruko Mitamura

Eduard Hovy

2020/10/5

ALOHA: Artificial Learning of Human Attributes for Dialogue Agents

Proceedings of the AAAI Conference on Artificial Intelligence

Aaron W Li

Veronica Jiang

Steven Y Feng

Julia Sprague

Wei Zhou

...

2020/4/3

See List of Professors in Steven Y. Feng University(Carnegie Mellon University)

Co-Authors

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