Statistics Undergrad @ Anhui University of Finance and Economics
AI systems, time-series forecasting, sparse MoE, quantitative research, and product-grade research tooling.
I build research and product systems for noisy, non-stationary real-world signals. My current work sits at the intersection of statistical learning, sparse neural architectures, market data, and decision-oriented software.
I care about models that survive contact with messy data: robust forecasting under corrupted SCADA, alpha-oriented signal extraction, practical evaluation protocols, and tools that turn scattered information into repeatable workflows.
| Track | What I am working on |
|---|---|
| AI for time series | Sparse MoE, robust forecasting, edge-aware model design, corrupted sensor data |
| Quant research | Market regime modeling, signal extraction, high-noise financial time series |
| Research tooling | Local-first learning tools, API hubs, workflow systems, evaluation dashboards |
| Product engineering | Mobile tools, decision-support interfaces, polished prototypes |
| Project | Focus | Stack |
|---|---|---|
| Ultra-LSNT | Sparse MoE framework for wind power forecasting under corrupted SCADA and edge deployment constraints | Python |
| kronos-hub | Integration-first API hub for forecasting, trading research, and AI hedge-fund style workflows | Python |
| LoveACE | Campus-life mobile toolbox for Anhui University of Finance and Economics | Dart |
| fengshui-lens | Product-style decision app for Shanghai rent, city-settlement, and real-world life training | TypeScript |
| TrendRadar | AI-assisted trend monitoring and information analysis toolkit | Python |
- Prefer mechanism-aware models over leaderboard-only improvements.
- Prefer small, reproducible validation gates over vague claims.
- Prefer local-first tools when privacy, iteration speed, or offline use matters.
- Prefer interfaces that make hard thinking easier instead of merely looking busy.
I am open to conversations around AI for time series, quantitative research, sparse modeling, and research-to-product systems.
- GitHub: b1ue13e
- Email: ljylikezmn999@gmail.com