About Me
Hi! I'm Keming Ye, a master's student at AI4GC Lab, Zhejiang University, advised by Prof. Shengyu Zhang.
My research focuses on AIGC acceleration, cloud-device collaboration, and efficient AI. In 2025, I interned with Tencent WXG's WeChat Vision team, where I contributed to building the UnicEdit-10M image editing dataset and benchmark. Feel free to reach out if you are interested in efficient generative AI or collaborative systems.
Research Interests
- AIGC — Acceleration and system support for generative models.
- Cloud-Device Collaboration — Coordinating cloud and edge resources for practical AI deployment.
- Efficient AI — Reducing latency, compute cost, and memory overhead for modern AI workloads.
Education
- 2024 – present · M.S. in Computer Science, Zhejiang University
Experience
- 2025.06 – 2025.12 · Tencent WXG, WeChat Vision
- Worked on image editing data construction and related research support.
Selected Papers
arXiv2025
UnicEdit-10M: A Dataset and Benchmark Breaking the Scale-Quality Barrier via Unified Verification for Reasoning-Enriched Edits
arXiv2026