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researcher

Suyi Li

9 papers hereh-index 81.5k citations16 works total

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

author position
  • first author4
  • middle author5

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.DC6
  • cs.LG3
same name
  • Suyi Li — 11 papers, h 29
  • Suyi Li — 7 papers, h 3
  • Suyi Li — 5 papers, h 3
  • Suyi Li — 3 papers, h 4
  • Suyi Li — 3 papers, h 1
  • Suyi Li — 1 paper

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
20192026
most citedLearning to Detect Malicious Clients for Robust Federated Learning

187 citations · 300 across the 9 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.LG2026

Rollplex: Cross-Phase GPU Spatial Sharing for Vision Language Model Post-Training

Hanfeng Lu, Tianyu Feng, Suyi Li +8

Vision-language models (VLMs) enable embodied agents to reason and act from visual observations and language instructions. Reinforcement learning (RL) post-training enhances these…

cs.DC2026

ServerlessT2I: Efficient Text-to-Image Workflow Serving on a Serverless Platform

Xiaoxiao Jiang, Suyi Li, Sheng Yao +5

Text-to-image (T2I) workflows are increasingly deployed on serverless platforms because users often compose customized workflows and invoke them intermittently. Existing platforms…

cs.DC2026

Xema: Efficient Diffusion Serving through Fine-Grained Memory Management and Auto-Configuration

Xueze Kang, Guangyu Xiang, Suyi Li +4

Diffusion models are increasingly deployed as production visual-generation services, where serving high-resolution image and long video generation is often limited by GPU memory. P…

cs.DC2026

LegoDiffusion: Micro-Serving Text-to-Image Diffusion Workflows

Lingyun Yang, Suyi Li, Tianyu Feng +10

Text-to-image generation executes a diffusion workflow comprising multiple models centered on a base diffusion model. Existing serving systems treat each workflow as an opaque mono…

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