I'm a fifth-year Ph.D. candidate at the Institute for AI Industry Research (AIR), Tsinghua University, advised by Prof. Yunxin Liu and working closely with Prof. Ting Cao. I received my B.E. in Electronic Engineering from Tsinghua University in 2022.
I work on on-device AI and embodied AI, with a current focus on efficient deployment of embodied foundation models (VLAs and WAMs) and self-evolving physical intelligence. Homepage · RedNote
- Cosmos Lite [WIP] — quantized deployment of Cosmos 3 robot policies on a single 24 GB GPU.
- ActProbe [WIP] — action-space probing for early failure detection of generative robot policies.
- OxyGen — unified KV cache management for multi-task VLA inference.
- Vec-LUT (MobiSys 2026 Best Paper Award Runner-Up) — parallel ultra-low-bit LLM inference on edge devices.
- FlexNN (MobiCom 2024) — memory-adaptive DNN inference on edge devices.


