Publications

You can also find my articles on my Google Scholar profile.
Network World Models as Environments for Algorithm Design on Complex Systems

Network World Models as Environments for Algorithm Design on Complex Systems

Preprint, 2026

Rishab Alagharu, Hongji Pu, Zeeshan Memon, Xinyuan Song, Yuntong Hu, Liang Zhao

An action-conditioned Network World Model that predicts how interventions spread on a network, used as a fast evaluator for a coding agent that designs algorithms for complex-system tasks.

CONSTRAINER: Promptable Graph-Structured Optimization via Constraint Conditioning

CONSTRAINER: Promptable Graph-Structured Optimization via Constraint Conditioning

NeurIPS 2026

Zeeshan Memon, Mingke Tian, Xinyuan Song, Hongwei Jin, Kibaek Kim, Liang Zhao

Promptable graph-structured optimization via constraint conditioning.

EpiWorld: Grounding LLM Policy Agents in Epidemiological World Models

EpiWorld: Grounding LLM Policy Agents in Epidemiological World Models

EMNLP 2026 Findings

Zeeshan Memon, Yiqi Su, Kai Shu, Naren Ramakrishnan, Liang Zhao

Grounding LLM policy agents in epidemiological world models.

Towards Systematic Generalization for Power Grid Optimization Problems

Towards Systematic Generalization for Power Grid Optimization Problems

KDD 2026 (Oral)

Zeeshan Memon, Yijiang Li, Hongwei Jin, Kibaek Kim, Liang Zhao

Systematic generalization for power grid optimization problems.

Toward World Models for Epidemiology

Toward World Models for Epidemiology

ICLR 2026 Workshop on World Models: Understanding, Modelling and Scaling

Zeeshan Memon, Yiqi Su, Christo Kurisummoottil Thomas, Walid Saad, Liang Zhao, Naren Ramakrishnan

Toward building world models for epidemiological modeling and simulation.

LUMINA: Foundation Models for Topology Transferable ACOPF

LUMINA: Foundation Models for Topology Transferable ACOPF

ICLR Workshop on Foundation Models for Science, 2026

Yijiang Li, Zeeshan Memon, Hongwei Jin, Stefano Fenu, Keunju Song, Sunash B Sharma, Parfait Gasana, Hongseok Kim, Liang Zhao, Kibaek Kim

Foundation model for topology-transferable AC optimal power flow.

On the Fundamental Limits of LLMs at Scale

On the Fundamental Limits of LLMs at Scale

Transactions on Machine Learning Research (TMLR), 2025

Muhammad Ahmed Mohsin, Muhammad Umer, Ahsan Bilal, Zeeshan Memon, Muhammad Ibtsaam Qadir, ...

Accepted in Transactions on Machine Learning Research (TMLR).

Deep Causal Generative Models with Property Control

Deep Causal Generative Models with Property Control

Preprint, 2025

Qilong Zhao, Shiyu Wang, Zeeshan Memon, Yang Qiao, Guangji Bai, Bo Pan, Zhaohui Qin, Liang Zhao

Preprint on causal generative modeling with controllable properties.

Deep Identification of Propagation Trees

Deep Identification of Propagation Trees

IJCAI 2026

Zeeshan Memon, Chen Ling, Ruochen Kong, Vishwanath Seshagiri, Andreas Zufle, Liang Zhao

Identifying propagation trees with deep models.

ICML 2024 Workshop

LLM-Informed Discrete Prompt Optimization

ICML 2024 Workshop on LLMs and Cognition

Zeeshan Memon, Muhammad Arham, Adnan Ul-Hasan, Faisal Shafait

Workshop paper on discrete prompt optimization informed by LLMs.

ICDAR 2023

Content-aware Urdu handwriting generation

International Conference on Document Analysis and Recognition, 2023

Zeeshan Memon, Adnan Ul-Hasan, Faisal Shafait

Generating Urdu handwriting with content-aware methods.