Assistant Professor, Peking University
3 papers at NeurIPS 2025
We propose EfficientNav, enabling on-device memory-augmented object-goal navigation system for zero-shot in-door navigation.
We propose CryptoMoE, the first framework to enable private, accurate, and efficient inference for MoE-based LLMs.