Sherry Ruan (Chinese name: 阮珊珊) is a PhD student studying computer science at Stanford University. Her main research interest lies in human-computer interaction. She is currently working with Professor James Landay, Professor Jacob Wobbrock, and Professor Andrew Ng on a study evaluating the text entry performance of miniature touch screen keyboards and speech-based dictation in English and in Mandarin Chinese on a mobile smartphone. She is also working with Professor Maneesh Agrawala on automatically extracting references between text and tables from academic papers.
In the past, she worked on robust machine learning with Professor Percy Liang, on computing bisimulation metrics for Markov Decision Processes with Professor Prakash Panangaden and Professor Doina Precup, and on defining and justifying well-founded recursion principle over LF specifications with Professor Brigitte Pientka.
Sherry also serves as an EIR at Danhua Capital.
- Check out this NPR news report on our input study!
- Our study was also covered in Chinese media 🙂
- A fun video demonstrating our work: Stanford experiment shows speech recognition writes texts more quickly than thumbs
- My interview at Tech News Today
- Sherry Ruan, Jacob O. Wobbrock, Kenny Liou, Andrew Ng, James Landay. Speech Is 3x Faster than Typing for English and Mandarin Text Entry on Mobile Devices. Submitted. 2016.
- Sherry Ruan, Gheorghe Comanici, Prakash Panangaden, Doina Precup. Representation Discovery for MDPs Using Bisimulation Metrics. The Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI). 2015.
- Sherry Ruan. Bisimulation Metric Computation for Markov Decision Processes. The Ninth Women in Machine Learning Workshop (WiML). 2014.