# Xiaomeng Wang (王晓萌)

> AI Hardware Engineer at Virginia Tech, specializing in AI-based hardware accelerators.

## About

Xiaomeng Wang is a researcher at Virginia Tech's BRICCS Lab, focused on designing 
efficient hardware solutions for AI computational capabilities. Research interests 
include AI hardware accelerators, chiplet architectures, neuromorphic computing, 
memristors, and reinforcement learning for IC design.

## Pages

- [Homepage](https://www.wangxm.com/)
- [Blog](https://blog.wangxm.com)
- [Research](https://www.wangxm.com/research)
- [KuanNet Project](https://www.wangxm.com/research/KuanNet/) (internal, TBA)

## Publications

- R2CTA: Reinforcement Learning and Reservoir Computing based Chiplets TSV Assignment (ISQED 2025)
- Transforming AI Landscape with Neuromorphic Computing and Chiplets (Elsevier Book Chapter, 2025)
- Graphical modelling of pinched hysteresis loops of memristors (IET SMT, 2017)
- Pinched hysteresis loops and symmetry (IET SMT, 2017)

## Patents

- [A Logistics System Control Method, Apparatus, Device, and Storage Medium](https://www.wangxm.com/patents/CN202210862658_FullTextImage.pdf) (CN 116993240 A)
- [A Tracking Method, Apparatus, and Electronic Device for Logistics Sorting Systems](https://www.wangxm.com/patents/CN202211085644_FullTextImage.pdf) (CN 116967139 A)

## Open Source

- [awesome-chiplets](https://github.com/xmwa/awesome-chiplets) — Curated list of chiplet resources
- [rctikz](https://github.com/xmwa/rctikz) — RC circuit TikZ tools
- [R2CTA](https://github.com/xmwa/rctikz) — Reinforcement learning for chiplet TSV assignment

## Contact

- LinkedIn: https://www.linkedin.com/in/wangxm/
- GitHub: https://github.com/xmwa/
- Email: vesper-stile.0y@icloud.com