4 citations · 6 across the 5 of their papers we have counts for
5 papers
An Efficient Hybrid Sparse Attention with CPU-GPU Parallelism for Long-Context Inference
Feiyu Yao, Zhixiong Niu, Xiaqing Li +3
Long-context inference increasingly operates over CPU-resident KV caches, either because decoding-time KV states exceed GPU memory capacity or because disaggregated prefill-decode…
Learn from the Past: Fast Sparse Indexing for Large Language Model Decoding
Feiyu Yao, Qian Wang
As large language models (LLMs) continue to support increasingly longer contexts, the memory demand for key-value (KV) caches during decoding grows rapidly, becoming a critical bot…
Full-Body Motion Reconstruction with Sparse Sensing from Graph Perspective
Feiyu Yao, Zongkai Wu, Li Yi
Estimating 3D full-body pose from sparse sensor data is a pivotal technique employed for the reconstruction of realistic human motions in Augmented Reality and Virtual Reality. How…
Graph based Environment Representation for Vision-and-Language Navigation in Continuous Environments
Ting Wang, Zongkai Wu, Feiyu Yao +1
Vision-and-Language Navigation in Continuous Environments (VLN-CE) is a navigation task that requires an agent to follow a language instruction in a realistic environment. The unde…
Few-shot Domain Adaptation for IMU Denoising
Feiyu Yao, Zongkai Wu, Zhenyu Wei +1
Different application scenarios will cause IMU to exhibit different error characteristics which will cause trouble to robot application. However, most data processing methods need…