activity
20232025
most citedTowards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning

11 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2025★ 1 cited

AetherCode: Evaluating LLMs' Ability to Win In Premier Programming Competitions

Zihan Wang, Jiaze Chen, Zhicheng Liu +25

Competitive programming has emerged as a critical benchmark for evaluating the reasoning and coding capabilities of Large Language Models (LLMs). Despite impressive progress on exi…

math.CO2025

Limit for Quotient Convergent Graph Sequence

Yaobin Chen, Zhicheng Liu, Yihang Xiao +1

Building on the limit theory for set functions, we prove that the limit of convergent sequence of bounded-degree graphs' cycle matroids can be represented as the cycle matroid of a…

math.CO2024

Arborescences of Random Covering Graphs

Muchen Ju, Junjie Ni, Kaixin Wang +1

A rooted arborescence of a directed graph is a spanning tree directed towards a particular vertex. A recent work of Chepuri et al. showed that the arborescences of a covering graph…

math.CO2024

Hybrid Pipe Dreams for Key Polynomials

Yihan Xiao, Rui Xiong, Haofeng Zhang

We develop a family of new combinatorial models for key polynomials. It is similar to the hybrid pipe dream model for Schubert polynomials defined recently by Knutson and Udell.

cs.AI2023★ 11 cited

Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning

Aditya Srinivas Timmaraju, Mehdi Mashayekhi, Mingliang Chen +9

Variances in ad impression outcomes across demographic groups are increasingly considered to be potentially indicative of algorithmic bias in personalized ads systems. While there…