Zeeshan Memon

Hi there! I am a second-year Ph.D. student in the Department of Computer Science at Emory University, advised by Dr. Liang Zhao. My research focuses on graph machine learning and foundation models for complex networks. I obtained my B.E. in Software Engineering from the National University of Sciences and Technology (NUST), Pakistan, in 2024, where I worked under Dr. Faisal Shafait.

I have previously collaborated with CERN, RheinMain University of Applied Sciences, and the Deep Learning Lab (SEECS, NUST) on projects spanning satellite image super-resolution, OCR for low-resource languages and prompt optimization for LLMs.

Publications

• On the Fundamental Limits of LLMs at Scale
  Preprint · 2025
• Deep Causal Generative Models with Property Control
  Preprint · 2025
• Deep Identification of Propagation Trees
  Preprint · 2025
• LLM-Informed Discrete Prompt Optimization
  Icml 2024 workshop on llms and cognition · 2024
• Content-aware Urdu handwriting generation
  International conference on document analysis and recognition · 2023

Experience

• Visiting Student, Argonne National Laboratory
• ML Research Intern, CERN — 2023
• ML Research Intern, RheinMain University of Applied Sciences — 2022

Services

Conference Reviewer/Program Committee

• PC Member, IEEE International Conference on Data Science and Advanced Analytics 2025
• PC Member, LLMs4Science @ AAAI 2025
• Reviewer, Workshop on Rethinking Financial Time-Series 2025
• Reviewer, NEGEL Workshop @ NeurIPS 2025
• Reviewer, Assessing World Models @ ICML 2025
• Reviewer, Re-Align Workshop @ ICLR 2025

Journal Reviewer

• Reviewer, IEEE Transactions on Big Data (TBD)