Siming Li
Siming Li is a researcher whose work links machine learning, image captioning and network routing. In 2011, she coauthored a paper on multifocal learning for customer problems and two papers on image descriptions; “Baby talk” joined computer vision with natural-language processing to generate captions. She later coauthored research on greedy routing for mobile sensor networks and Owan, a system that coordinates optical and network layers for wide-area transfers. She completed a 2017 Stony Brook dissertation on wireless and optical routing, and eBay was her first job; “Baby talk” received the Longuet-Higgins Prize in 2021.
- Works
- 37
- Citations
- 1,965
- h-index
- 8
Publication numbers from OpenAlex, as of 22 October 2026.
Timeline
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April 2011
Multifocal learning
In April 2011, she coauthors “Multifocal learning for customer problem analysis,” which groups training data into focal groups to learn prediction models for customer-service problems.
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2011
Baby talk at CVPR
In 2011, she coauthors “Baby talk: Understanding and generating simple image descriptions,” a CVPR paper that bridges computer vision with natural-language processing to generate image captions.
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June 2011
Composing image descriptions
At CoNLL in June 2011, she coauthors “Composing Simple Image Descriptions using Web-scale N-grams” with Girish Kulkarni, Tamara L. Berg, Alexander C. Berg and Yejin Choi.
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July 2016
A map for sensor routing
In July 2016, she coauthors a paper that maps wireless mobile sensor networks into virtual coordinates for greedy routing. Each node can compute or update its virtual coordinates by applying a locally stored map to its geographic coordinates.
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August 2016
The Owan WAN system
In August 2016, she coauthors Owan, a system for wide-area bulk transfers that jointly controls optical and network layers. It changes circuit setup, routing and rate allocation as traffic demand changes.
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May 2017
A Stony Brook dissertation
In May 2017, she completes a Stony Brook dissertation on mobility and traffic-adaptive routing for wireless and optical networks. Jie Gao lists eBay as her first job.
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2021
The Longuet-Higgins Prize
In 2021, the Computer Vision Foundation recognizes “Baby talk” with the Longuet-Higgins Prize; she is among the paper’s coauthors.
Career
Education
- 2017Stony Brook UniversityPhD
Sources and credits
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- Multifocal learning for customer problem analysis
- Gray sheep, golden cows, and everything in between: Yejin Choi earns Longuet-Higgins Prize in computer vision for enabling more precise image captions via natural language generation
- Composing Simple Image Descriptions using Web-scale N-grams
- Compact Conformal Map for Greedy Routing in Wireless Mobile Sensor Networks
- Optimizing bulk transfers with software-defined optical WAN
- Students - Jie Gao
- Stony Brook Theses and Dissertations Collection, 2006-2020 (closed to submissions) | Electronic Dissertations and Theses | Stony Brook University


