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Xinghao Wang

12 papers hereh-index 5232 citations16 works total

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

author position
  • first author5
  • middle author7

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

fields
  • cs.CL7
  • cs.CV3
  • cs.LG2
same name
  • Xinghao Wang — 5 papers, h 1
  • Xinghao Wang — 5 papers, h 2
  • Xinghao Wang — 4 papers, h 7
  • Xinghao Wang — 1 paper
  • Xinghao Wang — 1 paper, h 2
  • Xinghao Wang — 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
20222026
most citedSelfKG: Self-Supervised Entity Alignment in Knowledge Graphs

76 citations · 77 across the 12 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CV2026

MOSS-VL Technical Report

Pengyu Wang, Chenkun Tan, Shaojun Zhou +29

We present MOSS-VL, an open vision-language model family that treats real-time interaction -- perceiving while it speaks -- as a first-class capability. It is co-designed across th…

cs.CV2026

The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation

Zijie Lou, Youyun Tang, Xiaochao Qu +40

This paper presents an overview of the inaugural PortraitCraft Challenge, held as one of the official competitions at CVPR 2026. The challenge focuses on portrait composition under…

cs.CV2026

MOSS-Video-Preview: Toward Real-Time Video Understanding via Cross-Attention

Pengyu Wang, Chenkun Tan, Shaojun Zhou +18

Video understanding is shifting from the offline paradigm -- taking a fully recorded video as input and producing a single answer after it ends -- toward real-time interaction, in…

cs.CL2026

Prism: Spectral-Aware Block-Sparse Attention

Xinghao Wang, Pengyu Wang, Xiaoran Liu +4

Block-sparse attention is promising for accelerating long-context LLM pre-filling, yet identifying relevant blocks efficiently remains a bottleneck. Existing methods typically empl…

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