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researcher

Chao Li

11 papers hereh-index 7230 citations37 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author8
  • last author2

Across the 10 of 11 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.DC3
  • cs.AR2
  • cs.CL1
  • cs.CV1
same name
  • Chao Li — 14 papers, h 10
  • Chao Li — 14 papers, h 10
  • Chao Li — 14 papers, h 14
  • Chao Li — 13 papers, h 9
  • Chao Li — 12 papers
  • Chao Li — 11 papers, h 22

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedA Survey on Inference Optimization Techniques for Mixture of Experts Models

9 citations · 13 across the 10 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CV2026

X-OmniClaw Technical Report: A Unified Mobile Agent for Multimodal Understanding and Interaction

Xiaoming Ren, Ru Zhen, Chao Li +11

Inspired by the development of OpenClaw, there is a growing demand for mobile-based personal agents capable of handling complex and intuitive interactions. In this technical report…

cs.LG2026

VisMMOE: Exploiting Visual-Expert Affinity for Efficient Visual-Language MoE Offloading

Cheng Xu, Xiaofeng Hou, Jiacheng Liu +1

Large-scale vision-language mixture-of-experts (VL-MoE) models provide strong multimodal capability, but efficient deployment on memory-constrained platforms remains difficult. Exi…

cs.AR2026

CODO: An Automated Compiler for Comprehensive Dataflow Optimization

Weichuang Zhang, Yiquan Wang, Xinzhou Zhang +6

FPGAs are well-suited for dataflow architectures that process data in a streaming or pipelined manner, thus satisfying the high computational and communication demands of emerging…

cs.DC2026

PCR: A Prefetch-Enhanced Cache Reuse System for Low-Latency RAG Serving

Wenfeng Wang, Xiaofeng Hou, Peng Tang +5

Retrieval-Augmented Generation (RAG) systems enhance the performance of large language models (LLMs) by incorporating supplementary retrieved documents, enabling more accurate and…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.