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Weiran Wang

Natural Language Processing (NLP) Dialogue Systems Voice Assistant Technologies Deep Learning For Speech Recognition
University of Iowa Computer Science

About

Weiran Wang is an Assistant Professor in Computer Science at the University of Iowa. He was most recently a Staff Research Scientist at Google. He was a Senior Research Scientist at Salesforce Research from 2019 to 2020, and a Senior Applied Scientist at Amazon Alexa from 2017 to 2019. He spent 2014 to 2017 as a postdoc researcher at Toyota Technological Institute at Chicago, after obtaining his PhD at University of California at Merced in 2013.

Research Performance Summary

99
Total Papers
4772
Total Citations
30
H-Index
2010-2025
Active Research Span

First Recorded Paper

Manifold blurring mean shift algorithms for manifold denoising

Year: 2010

Citations: 71

Venue: 2010 IEEE Computer Society Conference on Computer Vision and Pattern

Latest Recorded Paper

Optimizing inference performance for conformer

Year: 2025

Citations: 0

Venue: US Patent 12,190

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2025
8
2024
13
2023
12
2022
6
2021
4
2020
7
2019
5
2018
6
2017
3
2016
11
2015
10

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 32
Journal 1
Book 1

Top Coauthors

Wang Sainath

Research Impact by Period

2025-2026

Period Stats
Papers 8
Citations 0
Avg. Citations / Paper 0
H-Index 0

2020-2024

Period Stats
Papers 42
Citations 760
Avg. Citations / Paper 18.1
H-Index 14

2015-2019

Period Stats
Papers 35
Citations 3146
Avg. Citations / Paper 89.9
H-Index 21

2010-2014

Period Stats
Papers 14
Citations 866
Avg. Citations / Paper 61.9
H-Index 8

Contact and Professional Links

Contact Information

weiran-wang@uiowa.edu
3194671886

Detected Research Keywords

Canonical Correlation Analysis Deliberation Streaming Rnn Streaming Rnn Transducer Rnn Transducer Autoregressive Transducer Autoregressive Decoding Deliberation Text Only Text Only Semi Only Semi Supervised Semi Supervised Training Word Level Neural