Zhiyuan Ouyang
Ph.D. student · Computational Mathematics
I am a second-year Ph.D. student at East China Normal University and Shanghai Innovation Institute, co-supervised by Xiangyun Zhang and Junchi Yan.
My research focuses on generative models, with an emphasis on theoretical understanding, generalization, and efficient, controllable generation. I also work on distributed training and AI deployment, and explore on-chain execution infrastructure and prediction markets.
News
- Open-sourced MimicPolymarket, an on-chain execution router for Polymarket.
- Primal-Spectral Generative Modeling accepted at ICML 2026.
- Received the National Scholarship for PhD Students in China.
- Published work on thyroid nodule diagnosis in Computational Biology and Chemistry.
Publications
Experience
MimicPolymarket
Execution router with multi-wallet routing, risk control, order aggregation, and MongoDB-backed state persistence.
2026–Present
Baizhi Xunlian Technology Co., Ltd.
Led controllable image generation pipelines, deployment planning, and team-level engineering standards.
2023–2024
Technical skills
- Programming
- Python, TypeScript, Rust, C++
- Deep learning
- PyTorch, JAX, Diffusers, TensorBoard
- Distributed training
- Slurm, DDP, scheduling and performance tuning
- Web3 infrastructure
- Ethers.js, Viem, Polymarket CLOB SDK, Account Abstraction, MongoDB, Docker
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