CUDA Fortran acceleration for the finite-difference time-domain method. - Mohammed F. Hadi; Seyed A. Esmaeili (Comput. Phys. Commun., 2013)

Fast-At: Fast Automatic Thumbnail Generation Using Deep Neural Networks. - Seyed A. Esmaeili; Bharat Singh; Larry S. Davis (CVPR, 2017)

Probabilistic Fair Clustering. - Seyed A. Esmaeili; Brian Brubach; Leonidas Tsepenekas; John Dickerson 001 (NeurIPS, 2020)

Fair Clustering Under a Bounded Cost. - Seyed A. Esmaeili; Brian Brubach; Aravind Srinivasan; John Dickerson 001 (NeurIPS, 2021)

A New Notion of Individually Fair Clustering: α-Equitable k-Center. - Darshan Chakrabarti; John P. Dickerson; Seyed A. Esmaeili; Aravind Srinivasan; Leonidas Tsepenekas (AISTATS, 2022)

Rawlsian Fairness in Online Bipartite Matching: Two-sided, Group, and Individual. - Seyed A. Esmaeili; Sharmila Duppala; Vedant Nanda; Aravind Srinivasan; John P. Dickerson (AAMAS, 2022)

Fair Labeled Clustering. - Seyed A. Esmaeili; Sharmila Duppala; John P. Dickerson; Brian Brubach (KDD, 2022)

Centralized Fairness for Redistricting. - Seyed A. Esmaeili; Hayley Grape; Brian Brubach (CoRR, 2022)

Rawlsian Fairness in Online Bipartite Matching: Two-Sided, Group, and Individual. - Seyed A. Esmaeili; Sharmila Duppala; Davidson Cheng; Vedant Nanda; Aravind Srinivasan; John P. Dickerson (AAAI, 2023)

Doubly Constrained Fair Clustering. - John P. Dickerson; Seyed A. Esmaeili; Jamie H. Morgenstern; Claire Jie Zhang (NeurIPS, 2023)

Robust and Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents. - Seyed A. Esmaeili; Suho Shin 001; Aleksandrs Slivkins (CoRR, 2023)

Replication-proof Bandit Mechanism Design. - Seyed A. Esmaeili; MohammadTaghi Hajiaghayi; Suho Shin 001 (CoRR, 2023)

On Algorithms, Fairness, and Incentives. - Seyed A. Esmaeili (2023)

Implications of Distance over Redistricting Maps: Central and Outlier Maps. - Seyed A. Esmaeili; Darshan Chakrabarti; Hayley Grape; Brian Brubach (AAAI, 2024)

How to Strategize Human Content Creation in the Era of GenAI? - Seyed A. Esmaeili; Kshipra Bhawalkar; Zhe Feng 004; Di Wang 005; Haifeng Xu (CoRR, 2024)

Fair Clustering: Critique, Caveats, and Future Directions. - John Dickerson 001; Seyed A. Esmaeili; Jamie Morgenstern; Claire Jie Zhang (CoRR, 2024)

Replication-proof Bandit Mechanism Design with Bayesian Agents. - Suho Shin 001; Seyed A. Esmaeili; MohammadTaghi Hajiaghayi (AAAI, 2025)

Robust Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents. - Seyed A. Esmaeili; Suho Shin 001; Aleksandrs Slivkins (AAAI, 2025)

Robust Fair Clustering with Group Membership Uncertainty Sets. - Sharmila Duppala; Juan Luque; John P. Dickerson; Seyed A. Esmaeili (AISTATS, 2025)

SoK: Fair Clustering: Critique, Caveats, and Future Directions. - John Dickerson 001; Seyed A. Esmaeili; Jamie Morgenstern; Claire Jie Zhang (SaTML, 2025)

Welfare-Centric Clustering. - Claire Jie Zhang; Seyed A. Esmaeili; Jamie Morgenstern (CoRR, 2025)