← Search

YUAN WEN

2 accepted papers

2026

CONTINUUM: Restoring the Contiguous Tensor Abstraction Efficiently for Dynamic AI Workloads via Hardware Virtualization

ICML 2026spotlight

Emerging LLM workloads demand extreme mem- ory agility. However, state-of-the-art inference systems (e.g., vLLM) rely on software-defined paging, which sacrifices the contiguous tensor abstraction. This rigid interface exposes fragmen- tation complexity to developers, imposing a se- vere engineering…

Cited by 0SourceScholar
2025

SpaceServe: Spatial Multiplexing of Complementary Encoders and Decoders for Multimodal LLMs

NeurIPS 2025poster

Recent multimodal large language models (MLLMs) marry modality-specific vision or audio encoders with a shared text decoder. While the encoder is compute- intensive but memory-light, the decoder is the opposite, yet state-of-the-art serving stacks still time-multiplex these complementary kernels, id…

Cited by 0SourcecodeScholar