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Peiwen Sun

11 papers hereh-index 6250 citations15 works total

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

author position
  • first author3
  • middle author7

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

fields
  • cs.CV4
  • eess.AS4
  • cs.SD2
  • cs.RO1
same name
  • Peiwen Sun — 7 papers, h 4
  • Peiwen Sun — 2 papers
  • Peiwen Sun — 1 paper
  • Peiwen Sun — 1 paper, h 1
  • Peiwen Sun — 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
20242026
most citedFlashSpeech: Efficient Zero-Shot Speech Synthesis

1 citations · 1 across the 11 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.RO2026

Evolve Vision-Language-Action Model into an Agent with On-the-fly Tool-use

Ding Yi, Yi Ding, Yanzhao Yu +6

This paper integrates end-to-end Visual-Language-Action (VLA) models with agentic tool-use to propose Agentic Robot with Tool-use (ART). ART is a tool-injection framework that tune…

cs.CV2026

X-Stream: Exploring MLLMs as Multiplexers for Multi-Stream Understanding

Peiwen Sun, Xudong Lu, Huadai Liu +10

While video streaming understanding has made significant strides, real-world applications, such as live sports broadcasting, autonomous driving, and multi-screen collaboration, inh…

eess.AS2026

Which Speech Representation Better Matches Text-Native Reasoning? A Study of Speech-Text Alignment on Frame Rate and Representation

Zhen Ye, Xu Tan, Yiming Li +10

Spoken dialogue models typically start from text LLM backbones, yet reasoning often degrades when conditioning on speech instead of text. We attribute part of this modality gap to…

cs.CV2026

PhoStream: Benchmarking Real-World Streaming for Omnimodal Assistants in Mobile Scenarios

Xudong Lu, Huankang Guan, Yang Bo +10

Multimodal Large Language Models excel at offline audio-visual understanding, but their ability to serve as mobile assistants in continuous real-world streams remains underexplored…

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