Nov 2025 – Jun 2026
Pure Nash Equilibria under the Affine Mechanism
University of Wisconsin–Madison
- First author; paper accepted for oral presentation at GameSec 2026.
- Characterized the Nash equilibrium of the Affine Mechanism Game under complete information.
- Extended the analysis to the incomplete-information setting and characterized its Bayesian Nash equilibrium.
- Co-authored the manuscript and drafted most of its formal proofs.
- Developed Python programs to compute and visualize game behavior across multiple scenarios.
Feb 2025 – May 2025
Partially Observable Markov Game Solver
University of Wisconsin–Madison
- Implemented Nash Q-learning and deep Q-learning methods in Python and PyTorch for partially observable Markov game environments.
- Analyzed algorithmic solvability across game scenarios; identified solvable cases and diagnosed causes of non-convergence.
May 2024 – May 2025
Sturgeon Re-Identification
Beijing Academy of Agriculture and Forestry Sciences
- Contributed to a deep learning pipeline for sturgeon re-identification (ReID).
- Curated a 6,000-image dataset and designed image acquisition and labeling protocols.
- Fine-tuned and integrated YOLOv8 as the detection module in the pipeline; generated detector-aligned crops for ReID training and inference.