Beibin Li

drawing

Curriculum Vitae beibin@uw.edu



As a second-year Ph.D. student at University of Washington, I focus on computer vision and machine learning. I work with Prof. Linda Shapiro and Prof. Frederick Shic to diagnose and intervene Autism Spectrum Disorder by using eye tracking, facial expression detection, and augmented reality. I also work on medical data analysis including MRI, fMRI, and fNIRS. I want to create elegant mathematical and novel algorithmic methods to solve hard problems with few labeled data.

Publication

Social Influences on Executive Functioning in Autism: Design of a Mobile Gaming Platform

Li, B., Atyabi, A., Kim, M., Barney, E., Ahn, A., Luo, Y., Aubertine, M., Corrigan, S., John, T., Wang, Q., Mademtzi, M., Best, M., & Shic, F.

In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (p. 443) (ACM SIGCHI 2018).

PDF

An Exploratory Analysis Targeting Diagnostic Classification of AAC App Usage Patterns

Atyabi, A., Li, B., Ahn, A., Kim, M., Barney, E., & Shic, F.

In IEEE International Joint Conference on Neural Networks (IEEE IJCNN 2017)

PDF

Hybrid Calibration for Eye Tracking: Smooth Pursuit Trajectory with Anchor Points

Wang, Q, , Barney, E., Wall, C., Dinicola, L., Foster, C., Ahn, Y., Li, B., & Shic, F.

In Journal of Vision 16(12):1355. September 2016.

Link

A Thermal Emotion Classifier for Improved Human-Robot Interaction

Boccanfuso, L., Wang, Q., Leite, I., Li, B., Torres, C., Chen, L., Salomons, N., Foster, C., Barney, E., Ahn, Y., Scassellati, B., & Shic, F.

In IEEE International Symposium on Robot and Human Interactive Communication 2016 (IEEE RO-MAN 2016).

PDF

Human Robot Activity Classification based on Accelerometer and Gyroscope

Li, B., Boccanfuso, L., Wang, Q., & Shic, F.

In IEEE International Symposium on Robot and Human Interactive Communication 2016 (IEEE RO-MAN 2016).

PDF

Thermographic eye tracking

Wang, Q., Boccanfuso, L., Li, B., Ahn, A. Y. J., Foster, C. E., Orr, M. P., ... & Shic, F.

In Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research and Applications (pp. 307-310). ACM. (ACM ETRA 2016).

PDF

Modified DBSCAN algorithm on oculomotor fixation identification

Li, B., Wang, Q., Barney, E., Hart, L., Wall, C., Chawarska, K., ... & Shic, F.

In Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research and Applications (pp. 337-338). ACM. (ACM ETRA 2016).

PDF Code

Optimality of the distance dispersion fixation identification algorithm

Li, B., Wang, Q., Boccanfuso, L., & Shic, F.

In Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research and Applications (pp. 339-340). ACM. (ACM ETRA 2016).

PDF

Teaching

CSE 473: Introduction to Artificial Intelligence

2019 Winter, University of Washington Course Website

Teaching Assistant

Principal ideas and developments in artificial intelligence: Problem solving and search, game playing, knowledge representation and reasoning, uncertainty, probabilistic graphical models, machine learning, reinforcement learning, natural language processing, etc.

CSE 546: Machine Learning

2018 Fall, University of Washington Course Website

Teaching Assistant

Explores methods for designing systems that learn from data and improve with experience. Supervised learning and predictive modeling; decision trees, rule induction, nearest neighbors, Bayesian methods, neural networks, support vector machines, and model ensembles. Unsupervised learning and clustering.

EECS 376: Foundation of Computer Science (Theory of Computation)

2015 Spring, University of Michigan

Teaching Assistant

Introduction to theory of computation. Models of computation: finite state machines, Turing machines. Decidable and undecidable problems. Polynomial time computability and paradigms of algorithm design. Computational complexity emphasizing NP-hardness. Coping with intractability. Exploiting intractability: cryptography.

Education

2017 - Current Ph.D. Student Computer Science and Engineering University of Washington Seattle, WA
Graduated 2015 Bachelor of Science Mathematics University of Michigan Ann Arbor, MI
Graduated 2015 Bachelor of Science Computer Science University of Michigan Ann Arbor, MI

Experience

2016 - 2017 Research Associate SCITL Seattle Children's Research Institute Seattle, WA
2015 - 2016 Research Fellow Technology Innovation Lab Yale University New Haven, CT