Ph.D. Candidate · Graph Learning & Social Computing
Li
Hao
武汉大学 · 电子信息学院
Wuhan University · School of Electronic Information
Status PhD Candidate
Base Wuhan
Focus Graph AI
Lab WHU
武汉大学 · 电子信息学院
Wuhan University · School of Electronic Information
I am Hao Li, a Ph.D. candidate at the School of Electronic Information, Wuhan University, advised by Professor Hao Jiang.
My research focuses on the intersection of social networks, graph neural networks, and large language models. I also collaborate with Dr. Yulia Gel and Dr. Yuzhou Chen on persistent homology for graph learning.
I am particularly interested in dynamic graph representation learning, opinion dynamics on graphs, and the use of large language models for social simulation and computational social science.
Dynamic graph representation learning and topological methods for complex graph-structured data.
Opinion dynamics, social influence, and structural patterns in social graphs.
Agent-based modeling, social simulation, and LLM-assisted research for the social sciences.
2026Agentmandering: A Game-Theoretic Framework for Fair Redistricting via Large Language Model Agents
AAAI Conference on Artificial Intelligence, Special Track AI for Social Impact (AAAI AISI 2026)
2025TMetaNet: Topological Meta-Learning Framework for Dynamic Link Prediction
International Conference on Machine Learning (ICML 2025)
2025UniGO: A Unified Graph Neural Network for Modeling Opinion Dynamics on Graphs
The Web Conference (WWW 2025) · Oral Presentation
2025Political Actor Agent: Simulating Legislative System for Roll Call Votes Prediction with Large Language Models
AAAI Conference on Artificial Intelligence (AAAI 2025) · Oral Presentation
