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publications

ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning

with Kevin Kuo, Elizabeth Horishny, Michael J. Curry, Samuel Dooley, Ping-yeh Chiang, Tom Goldstein, and John P. Dickerson

Manuscript, 2020

arXiv: 2010.06398

The Toughness of Kneser Graphs

with Amartya Banerjee, Sebastian Cioabă, Nathan Hayes, Davin Park, Tanay Wakhare, and Wiseley Wong

Discrete Mathematics, 2021

arXiv: 2008.08183

Extremal Graphs for a Spectral Inequality on Edge-Disjoint Spanning Trees

with Sebastian M. Cioabǎ, Davin Park, Sriya Potluri, Tanay Wakhare, and Wiseley Wong

The Electronic Journal of Combinatorics, 2022

arXiv: 2104.01665

Locality Bounds for Sampling Hamming Slices

with Daniel M. Kane and Kewen Wu

Symposium on Theory of Computing (STOC), 2024

arXiv: 2402.14278

Refuting Approaches to the Log-Rank Conjecture for XOR Functions

with Hamed Hatami, Kaave Hosseini, and Shachar Lovett

International Colloquium on Automata, Languages, and Programming (ICALP), 2024

arXiv: 2312.09400

A Tight Lower Bound on Non-Adaptive Group Testing Estimation

with Nader H. Bshouty, Tsun-Ming Cheung, Gergely Harcos, and Hamed Hatami

Discrete Applied Mathematics, 2025

arXiv: 2309.10286

Locally Sampleable Uniform Symmetric Distributions

with Daniel M. Kane and Kewen Wu

Symposium on Theory of Computing (STOC), 2025

arXiv: 2411.08183

Strong Bounds for Skew-Corner-Free Sets

with Michael Jaber and Shachar Lovett

Discrete Analysis, 2025

arXiv: 2404.07380

Quasipolynomial Bounds for the Corners Theorem

with Michael Jaber, Yang P. Liu, Shachar Lovett, and Mehtaab Sawhney

Symposium on Foundations of Computer Science (FOCS) - Best Paper, 2025

arXiv: 2504.07006

Quantum Advantage from Sampling Shallow Circuits: Beyond Hardness of Marginals

with Daniel Grier, Daniel M. Kane, Jackson Morris, and Kewen Wu

Quantum Information Processing (QIP), 2026

Innovations in Theoretical Computer Science (ITCS), 2026

arXiv: 2510.07808

Symmetric Distributions from Shallow Circuits

with Daniel M. Kane and Kewen Wu

Submitted, 2025

arXiv: 2511.14127

talks

Talk 1 on Relevant Topic in Your Field

UC San Francisco, Department of Testing

Tutorial 1 on Relevant Topic in Your Field

UC-Berkeley Institute for Testing Science

Talk 2 on Relevant Topic in Your Field

London School of Testing

Conference Proceeding talk 3 on Relevant Topic in Your Field

Testing Institute of America 2014 Annual Conference

teaching

CMSC 250: Discrete Structures

University of Maryland, Spring 2018 & Fall 2019

CMSC 389V: Ethics of Artificial Intelligence and Machine Learning

University of Maryland, Spring 2020 & Fall 2020 & Spring 2021

New Horizons in Theoretical Computer Science

Toyota Technological Institute at Chicago, Summer 2022

CSE101: Introduction to Algorithms

UC San Diego, Winter 2023

CSE 200: Computability and Complexity

UC San Diego, Fall 2023

CSE 291E: Additive Combinatorics and its Applications

UC San Diego, Fall 2024

Extremal and Probabilistic Combinatorics - From Sunflowers to Thresholds

Park City Math Institute Graduate Summer School, Summer 2025