About me

I’m a third-year Ph.D. student in Computer Science at the University of Maryland, advised by Prof. MohammadTaghi Hajiaghayi. I’m broadly interested in the intersection of computer science and economics, including (i) auctions, exchange markets, and principal-agent problems, (ii) the economics of recommender systems for online platforms, and (iii) mechanism design for large language models. I’m also interested in online algorithms, approximation algorithm, online learning, and computational complexity.

Previously, I was a software/machine learning engineer at Coupang and LINE, and received my M.S./B.S. in electrical engineering/mathematics at KAIST.

Papers

^{($\alpha,\beta$ denotes alphabetical order of authorship)}

• Replication-proof Bandit Mechanism Design, Manuscript
  • ^{$\alpha,\beta$}S. Esmaeili, M. Hajiaghayi, S. Shin
• Robust and Performance Incentivizing Algorithms for Bandits, Manuscript
  • ^{$\alpha,\beta$}S. Esmaeili, S. Shin, A. Slivkins
• Online Advertisements with LLMs: Opportunities and Challenges, Manuscript
  • ^{$\alpha,\beta$}S. Feizi, M. Hajiaghayi, K. Rezaei, S. Shin
• Gains-from-Trade in Bilateral Trade with a Broker, SODA’25
  • ^{$\alpha,\beta$}I. Hajiaghayi, M. Hajiaghayi, G. Peng, S. Shin
• Ad Auctions for LLMs via Retrieval Augmented Generation, NeurIPS’24
  • ^{$\alpha,\beta$}M. Hajiaghayi, S. Lahaie, K. Rezaei, S. Shin
  • EC’24 workshop on Frontiers of Online Advertising: Autobidding, GenAI, and Beyond
• Dueling Over Dessert, Mastering the Art of Repeated Cake Cutting, NeurIPS’24
  • ^{$\alpha,\beta$}S. Branzei, M. Hajiaghayi, R. Phillips, S. Shin, K. Wang
  • Slides by Simina at WALE 24.
• Fairness and Efficiency in Online Class Matching, NeurIPS’24
  • ^{$\alpha,\beta$}M. Hajiaghayi, S. Jahan, M. Sharifi, S. Shin, M. Springer
• Regret Analysis of Repeated Delegated Choice, AAAI’24
  • ^{$\alpha,\beta$}M. Hajiaghayi, M. Mahdavi, K. Rezaei, S. Shin
• Improved Relaxation for Oracle-efficient Adversarial Contextual Bandits, NeurIPS’23
  • ^{$\alpha,\beta$}K. Banihashem, M. Hajiaghayi, S. Shin, M. Springer
• Bandit Social Learning under Myopic Agents, NeurIPS’23
  • ^{$\alpha,\beta$}K. Banihashem, M. Hajiaghayi, S. Shin, A. Slivkins
  • EC’24 workshop on Information Acquisition
  • Best poster award at Annual Machine Learning Symposium’24
• Delegating to Multiple Agents, EC’23
  • ^{$\alpha,\beta$}M. Hajiaghayi, K. Rezaei, S. Shin
• Multi-armed Bandit Algorithm against Strategic Replication, AISTATS’22
  • S. Shin, S. Lee, J. Ok
• Power of Bonus in Pricing for Crowdsourcing, Sigmetrics’22
  • S. Shin, H.Choi, Y. Yi, J. Ok