Yiliang Zhang

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.