Curriculum vitae

PDF version is available here.

Education

Ph.D in Electrical Engineering, University of Washington, 2021
B.S. in Physics, National Taiwan University, 2015

Work experience

Machine Learning Intern, Facebook, Seattle, WA Jun 2020 – Sep 2020
- Developed deep learning models to optimize the click-through rate (CTR) based recommendation system for search ads placement
- Investigated various modeling techniques, including transfer learning and multi-task learning
Research Intern, Microsoft Research, Redmond, WA Jun 2018 – Sep 2018
- Studied large-scale dynamic network model based on stochastic block model(SBM) and its extension to causal impact on temporal graphs
- Our work has been accepted to KDD’19 research track (acceptance rate 14.2%) and Animal Behaviour
Teaching Assistant, University of Washington, Seattle, WA Jan 2017 – Dec 2017
- Courses: Digital Signal Processing (graduate level), Devices And Circuits, Discrete Time Linear Systems, Fundamentals of Electrical Engineering
Front-end Software Engineer, Psychological Warfare Group of M.N.D., Taipei, Taiwan Aug 2015 – Jul 2016
- Lead engineer on cloud-based file exchanging platform, which enables users to search, view, and share streaming media
- Technology used: JavaScript (react.js), HMTL/CSS

Skills

Python
MATLAB
JavaScript
C++

Publications

The decomposition of the higher-order homology embedding constructed from the k-Laplacian

Yu-Chia Chen and Marina Meilă. The decomposition of the higher-order homology embedding constructed from the k-Laplacian. arXiv:2107.10970 [stat.ML], July 2021. (To appear at NeurIPS 2021 as an oral presentation.)

Social connectedness and movements among communities of giraffes vary by sex and age class

Juan M. Lavista Ferres, Derek E. Lee, Md Nasir, Yu-Chia Chen, Avleen S.Bijral, Fred B. Bercovitch, and Monica L. Bond. Social connectedness and movements among communities of giraffes vary by sex and age class. Animal Behaviour, 180:315–328, October 2021

Water-Accelerated Photo-oxidation of CH3NH3PbI3 Perovskite: Mechanism, rate orders, and rate constants

Timothy Siegler, Wiley Dunlap-Shohl, Yuhuan Meng, Wylie Kau, Preetham Sunkari, Chang-En Tsai,Zachary Armstrong, Yu-Chia Chen, David Beck, Marina Meila, and Hugh Hillhouse. Water-Accelerated Photo-oxidation of CH3NH3PbI3 Perovskite: Mechanism, rate orders, and rate constants. ChemRxiv, June 2021

Helmholtzian Eigenmap: Topological feature discovery & edge flow learning from point cloud data

Yu-Chia Chen, Marina Meilă, and Ioannis G. Kevrekidis. Helmholtzian Eigenmap: Topological feature discovery & edge flow learning from point cloud data. arXiv:2103.07626 [stat.ML], March 2021

Selecting the independent coordinates of manifolds with large aspect ratios

Yu-Chia Chen and Marina Meilă. Selecting the independent coordinates of manifolds with large aspect ratios. In H. Wallach, H. Larochelle, A. Beygelzimer, F. d’Alché-Buc, E. Fox, and R.Garnett, editors, Advances in Neural Information Processing Systems 32, pages 1086-1095. Curran Associates, Inc., 2019

Manifold coordinates with physical meaning

Samson J. Koelle, Hanyu Zhang, Marina Meilă and Yu-Chia Chen. Manifold Coordinates with Physical Meaning. Second Workshop on Machine Learning and the Physical Sciences (NeurIPS 2019), Vancouver, Canada, December, 2019

On Dynamic Network Models and Application to Causal Impact

Yu-Chia Chen, Avleen Bijral, and Juan Lavista Ferres. On Dynamic Network Models and Application to Causal Impact. In Proceedings of the 25TH ACM SIGKDD Conference on Knowledge Discovery & Data Mining, KDD’19, pages 1194-1204, New York, NY, USA, 2019. ACM

Improved Graph Laplacian via Geometric Self-Consistency

Yu-Chia Chen, Dominique Perrault-Joncas, Marina Meilă, and James McQueen. Improved Graph Laplacian via Geometric Self-Consistency. NIPS Workshop on NIPS Highlights (MLTrain), Learn How to code a paper with state of the art frameworks, Long Beach, CA, December 2017

Languages

English – Advanced
Mandarin – Native
Taiwanese – Native