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Ruohan Gao

Multisensory Machine Intelligence Computer Vision Audio-visual Learning Tactile Perception In AI
IRB-4248
University of Maryland Department of Computer Science

About

Ruohan Gao is an Assistant Professor of Computer Science at the University of Maryland, College Park, where he leads the UMD Multisensory Machine Intelligence Lab. Before joining UMD, he spent a year at Meta as a Research Scientist after his Postdoc at the Stanford Vision and Learning Lab. He received his Ph.D. degree in Computer Science from The University of Texas at Austin. He mainly works in the fields of computer vision and machine learning with a particular emphasis on multisensory machine intelligence involving sight, sound, and touch. His research has been recognized by the AAAI New Faculty Highlights 2025, the Michael H. Granof Award which is designated for UT Austin’s Top 1 Doctoral Dissertation, the Google PhD Fellowship, the Adobe Research Fellowship, a Best Student Paper Award at WASPAA 2025, a Best Paper Award Runner Up at BMVC 2021, and a Best Paper Award Finalist at CVPR 2019.

Research Performance Summary

47
Total Papers
2956
Total Citations
22
H-Index
2015-2025
Active Research Span

First Recorded Paper

Graph property preservation under community-based sampling

Year: 2015

Citations: 7

Venue: 2015 IEEE Global Communications Conference (GLOBECOM)

Latest Recorded Paper

ControlTac: Force-and Position-Controlled Tactile Data Augmentation with a Single Reference Image

Year: 2025

Citations: 0

Venue: arXiv preprint arXiv:2505.20498

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2025
12
2024
5
2023
11
2022
4
2021
3
2020
3
2019
2
2018
3
2017
1
2016
2
2015
1

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 27
Journal 3
Book 0

Top Coauthors

Gao Grauman Wang

Research Impact by Period

2025-2026

Period Stats
Papers 12
Citations 41
Avg. Citations / Paper 3.4
H-Index 4

2020-2024

Period Stats
Papers 26
Citations 1701
Avg. Citations / Paper 65.4
H-Index 17

2015-2019

Period Stats
Papers 9
Citations 1214
Avg. Citations / Paper 134.9
H-Index 8

Contact and Professional Links

Contact Information

rhgao@umd.edu

Detected Research Keywords

Visually Guided Audio Geometry Aware Task Aware Task Learning Audio Visual Llms Systems Methods Visually Methods Visually Guided Guided Audio Separation