Lunjia Hu

I am a final-year Ph.D. candidate in the Computer Science Department at Stanford University. I am very fortunate to be co-advised by Moses Charikar and Omer Reingold. Before Stanford, I was an undergraduate in the Yao Class at Tsinghua University, where I received B.Eng. in computer science and B.S. in mathematics.

I work on advancing the theoretical foundations of trustworthy machine learning, addressing fundamental questions about interpretability, fairness, robustness, and uncertainty quantification.

Publications (See also my Google Scholar profile)


Lunjia Hu, Kevin Tian, Chutong Yang

Parikshit Gopalan, Lunjia Hu, Guy N. Rothblum

Conference papers:

Jarosław Błasiok, Parikshit Gopalan, Lunjia Hu, Adam Tauman Kalai, Preetum Nakkiran

ITCS 2024

Jarosław Błasiok, Parikshit Gopalan, Lunjia Hu, Preetum Nakkiran

NeurIPS 2023 (Spotlight)

Moses Charikar, Monika Henzinger, Lunjia Hu, Maximilian Vötsch, Erik Waingarten

NeurIPS 2023

Lunjia Hu, Inbal Rachel Livni Navon, Omer Reingold

CCC 2023

Lunjia Hu, Inbal Rachel Livni Navon, Omer Reingold, Chutong Yang

ICML 2023

Jarosław Błasiok, Parikshit Gopalan, Lunjia Hu, Preetum Nakkiran

STOC 2023

Lunjia Hu, Charlotte Peale

ITCS 2023

Best Student Paper Award

Parikshit Gopalan, Lunjia Hu, Michael P. Kim, Omer Reingold, Udi Wieder

ITCS 2023

John Duchi, Vitaly Feldman, Lunjia Hu, Kunal Talwar

NeurIPS 2022

Lunjia Hu, Charlotte Peale, Omer Reingold

ALT 2022

E. M. Gold Best Student Paper Award

Vincent Cohen-Addad, Anupam Gupta, Lunjia Hu, Hoon Oh, David Saulpic

SODA 2022

Moses Charikar, Lunjia Hu

SODA 2022

Lunjia Hu, Omer Reingold


Moses Charikar, Lunjia Hu


Andrew Bassilakis, Andrew Drucker, Mika Göös, Lunjia Hu, Weiyun Ma, Li-Yang Tan

ICALP 2020

Liwei Wang, Lunjia Hu, Jiayuan Gu, Zhiqiang Hu, Yue Wu, Kun He, John Hopcroft

NeurIPS 2018 (Spotlight)

Avrim Blum, Lunjia Hu.

COLT 2018

Lunjia Hu, Ruihan Wu, Tianhong Li, Liwei Wang.

COLT 2017

Hu Ding, Lunjia Hu, Lingxiao Huang, Jian Li.

WADS 2017

Professional Activities

Conference & Journal Reviewing: ALT 2019, NeurIPS (2019, 2020, 2023), SODA (2022, 2023), STOC (2022, 2024), ESA 2022, FORC 2023, FOCS 2023, ITCS 2024, COLT 2024, JMLR



Contact Information

Email: [first name] [at] stanford [dot] edu