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Email: ykei@ucsc.edu
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I am a Visiting Assistant Professor in the Department of Statistics at University of California, Santa Cruz (UCSC). I obtained a Ph.D. in Statistics at University of California, Los Angeles (UCLA) in June 2024, under the supervision of Prof. Oscar Hernan Madrid Padilla.

I am interested in a better understanding of complex data to tackle real-world problems. Specifically, my research aims to develop realistic models and the associated inference and learning algorithms for complex data such as time series, graphs, and language to allow useful abstraction, generation, and detection. My research has also been advised by Prof. Mark Handcock and Prof. Ying Nian Wu at UCLA and many other amazing collaborators.

My research interests are

If you interested in working on these topics, please feel free to email me.

Previously, I received a B.S. in Statistics and a B.A. in Economics at UCLA. I also interned at Amazon and Cisco.

Publications

Published papers

A Partially Separable Model for Dynamic Valued Networks
Yik Lun Kei, Yanzhen Chen, Oscar Hernan Madrid Padilla
Computational Statistics & Data Analysis 2023
PDF

YouRefIt: Embodied Reference Understanding with Language and Gesture
Yixin Chen, Qing Li, Deqian Kong, Yik Lun Kei, Song-Chun Zhu, Tao Gao, Yixin Zhu, Siyuan Huang
The IEEE International Conference on Computer Vision (ICCV) 2021 (Oral)
PDF

Preprints

Generative Model for Change Point Detection in Dynamic Graphs
Yik Lun Kei, Jialiang Li, Hangjian Li, Yanzhen Chen, Oscar Hernan Madrid Padilla
Under Review
PDF

Change Point Detection on a Separable Model for Dynamic Networks
Yik Lun Kei *, Hangjian Li *, Yanzhen Chen, Oscar Hernan Madrid Padilla
Under Review
PDF
Funded by NSF DMS-2015489

Others

Online Multi-robot Deadlock Prediction with Conditional Variational Auto-Encoder for Sequences
Yik Lun Kei, Mo Zhang, Claire Stolz, Anoop Aroor, Yulin Zhang, Yuchen Gao
Amazon Robotics Science Summit (Poster Presentation)

* denotes equal contribution

Teaching

STAT 132: Classical and Bayesian Inference
Lectures

Work Experience

Cisco
Software Engineer Intern (2024)

Amazon Robotics
Data Scientist Intern (2023)

UCLA
Graduate Student Researcher (2019-2024)

UCLA Health
Senior Data Analyst (2017-2019)

Software

library(CPDstergm)
Github

Awards

UCLA Graduate Fellowship (2021-2023)
UCLA Summer Mentored Research Fellowship (2022)

Services

Journal Reviewer
Graudate Student Mentor