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Yiran Chen

12 papers hereh-index 7147 citations16 works total

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

author position
  • middle author4
  • last author7

Across the 11 of 12 papers where every author was matched, so the position is known.

fields
  • cs.LG6
  • cs.CL2
  • cs.AI1
  • cs.CR1
  • cs.RO1
  • eess.AS1
same name
  • Yiran Chen — 57 papers, h 65
  • Yiran Chen — 17 papers, h 26
  • Yiran Chen — 17 papers, h 6
  • Yiran Chen — 15 papers, h 7
  • Yiran Chen — 11 papers, h 4
  • Yiran Chen — 9 papers, h 5

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
20232026
most citedFedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models

7 citations · 10 across the 11 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.RO2026

Latent Bridge: Feature Delta Prediction for Efficient Dual-System Vision-Language-Action Model Inference

Yudong Liu, Yuan Li, Zijia Tang +12

Dual-system Vision-Language-Action (VLA) models achieve state-of-the-art robotic manipulation but are bottlenecked by the VLM backbone, which must execute at every control step whi…

cs.LG2026

ZEUS: Accelerating Diffusion Models with Only Second-Order Predictor

Yixiao Wang, Ting Jiang, Zishan Shao +6

Denoising generative models deliver high-fidelity generation but remain bottlenecked by inference latency due to the many iterative denoiser calls required during sampling. Trainin…

cs.LG2026

Swimba: Switch Mamba Model Scales State Space Models

Zhixu Du, Krishna Teja Chitty-Venkata, Murali Emani +3

Mixture-of-experts (MoE) is a common approach for increasing parameter capacity, but applying MoE to state space model (SSM) token mixers can multiply the cost of the recurrent sta…

cs.CL2026

PrivAct: Internalizing Contextual Privacy Preservation via Multi-Agent Preference Training

Yuhan Cheng, Hancheng Ye, Hai Helen Li +2

Large language model (LLM) agents are increasingly deployed in personalized tasks involving sensitive, context-dependent information, where privacy violations may arise in agents'…

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