Junsung (June) Hwang

Code

Spectral-Optimal-Graph-Construction-via-Reinforcement-Learning

SeaWulf-scale reinforcement-learning pipeline that edits graph topologies to maximize algebraic connectivity, benchmarking against effective-resistance heuristics and SDP relaxations.

Skills: C, Python, PyTorch, NetworkX, CVXPY, Slurm, HPC, Linux

GraphEvo

Open-source evolutionary search framework with a Master Regulatory Gene crossover, MPI-based island model, and reproducible CLI/API for high-connectivity graph discovery.

Skills: C++, Python, MPI, OpenMP, GitHub Actions, Slurm, HPC, Linux

A New Broadcast Model for Several Network Topologies

Equal-contribution co-authorship on BBS, a broadcast model tuned to specific network topologies that delivers over 30% speedup versus classical schedulers on SeaWulf.

Skills: Python, MPI, Parallel Profiling, HPC, Linux

CTGNN

Proved invariance of the contraction metric $P(\beta_0)$ under admissible graph edits and derived a rank-2 Laplacian update theory.

Skills: Mathematics