I'm Siyan "Sylvia" Li.
I'm a Computer Scientist.
I'm an Improvisor.
I'm an Artist.
Second Year Master's Student @ Stanford.
My pronouns are she/her.
Interested in human-centered computing, helping machines understand humans better and improving human-AI interactions.
I want to develop virtual agents that communicate with humans better.
Profile
Name Pronunciation
Chinese Pinyin: lǐ sī yàn (Third tone, First tone, Fourth tone)
siyanli@stanford.edu
Education
M.S. in COMPUTER SCIENCE
Stanford University - Sep 2021 - June 2023, Maybe
Cumulative GPA: 4.013.
B.S. in COMPUTER SCIENCE
Georgia Institute of Technology - Aug 2017 - Dec 2020
Cumulative GPA: 3.97; Major GPA: 4.0.
Research Experience
Stanford NLP Group, Stanford University
Advisors: Dr. Chris Manning, Dr. Chris Potts
Graduate Research Assistant - Sept 2021 - Present
Affective Computing Group, University of Southern California
Employer: Dr. Jonathan Gratch
Research Intern - June 2022 - Sept 2022
Robotics, Evolution, and Art Lab, IT University of Copenhagen
Employer: Dr. Sebastian Risi
Research Assistant / Programmer - Feb 2021 - Aug 2021
ENTERTAINMENT INTELLIGENCE LAB, Georgia Tech
Advisor: Dr. Mark Riedl
Undergraduate Research Assistant - Aug 2019 - Dec 2020
Publications
2022
- When can I Speak? Predicting initiation points for spoken dialogue agents
Siyan Li, Ashwin Paranjape, Chris Manning. SIGDIAL 2022.
2021
- Growing 3D Artefacts and Functional Machines with Neural Cellular Automata
Shyam Sudhakaran, Djordje Grbic, Siyan Li, Adam Katona, Elias Najarro, Claire Glanois, Sebastian Risi. ALIFE 2021. - Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning
Xiangyu Peng, Siyan Li, Sarah Wiegreffe, Mark O. Riedl. 3rd Workshop on Narrative Understanding. - Automatic Story Generation: Challenges and Attempts
Amal Alabdulkarim, Siyan Li, Xiangyu Peng. 3rd Workshop on Narrative Understanding.
2020
- Reducing Non-Normative Text Generation from Language Models
Xiangyu Peng, Siyan Li, Spencer J. Frazier, Mark O. Riedl. INLG 2020. - Improving Neural Storytelling with Commonsense Inferences
Xiangyu Peng, Siyan Li, Sarah Wiegreffe, Mark O. Riedl. Extended abstract accepted into NeurIPS Women in Machine Learning Workshop.
2019
- Adaptable Human Intention and Trajectory Prediction for Human-Robot Collaboration
Abulikemu Abuduweili, Siyan Li, Changliu Liu. AI-HRI 2019.