I am Yiliang Zhang (张怿良), a fifth year AMCS PhD student at University of Pennsylvania. I am honored to be advised by Prof. Qi Long in the Division of Biostatistics, Perelman School of Medicine and Prof. Weijie Su in the Department of Statistics, Wharton School. Prior to this, I received my B.S. in Mathematics and Physics at Tsinghua University, China. My research interests include: missing data imputation, high-dimensional linear models, and algorithmic fairness.
Office: 1N1, 209 South 33rd Street, Philadelphia, PA, 19104
Email: zylthu14 AT sas DOT upenn DOT edu
[08 / 2022] I finished my internship as an Applied Scientist at Amazon, during which I established novel interpretable temporal graph models that outperform the production model in fraud detection tasks.
[05 / 2022] I finished my internship as a Quantitative Researcher at Point72, during which I established novel regression models for internal alpha capture.
[01 / 2022] Our paper An Unconstrained Layer-Peeled Perspective on Neural Collapse was accepted at ICLR 2022.
[09 / 2021] Our paper Assessing Fairness in the Presence of Missing Data was accepted at NeurIPS 2021.
[06 / 2021] Our paper MISNN: Multiple Imputation via Semi-parametric Neural Networks was accepted at ICML 2021 workshop.
[06 / 2021] Our paper Fairness in Missing Data Imputation was accepted at ICML 2021 workshop.
[01 / 2021] Our paper Efficient Design of SLOPE Penalty Sequences in Finite Dimension was accepted at AISTATS 2021.
[09 / 2020] I became the TA of STAT 991: Optimization Methods in Machine Learning in 2020 Fall.
[08 / 2020] I gave my first talk in JSM 2020!
[05 / 2020] As the team leader, I managed our final project Fair Deep Learning in Facial Recognition [Video] in CIS 522 in 2020 Spring, which was rated as Top 3 out of 30 projects.
[01 / 2020] With paper High-dimensional Nonparametric Density Estimation via Max-Random Forest, I won Student Paper Award in ASA Section on Statistical Learning and Data Science.
Student Paper Award in ASA Section on Statistical Learning and Data Science, 2020.
Qualcomm Scholarship of Academic Excellence, Tsinghua University, 2016.