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Xin Zhang

9 papers hereh-index 471 citations10 works total

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

author position
  • first author3
  • middle author5

Across the 8 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.LG2
  • cs.AI1
same name
  • Xin Zhang — 149 papers, h 52
  • Xin Zhang — 37 papers, h 13
  • Xin Zhang — 36 papers, h 11
  • Xin Zhang — 31 papers, h 11
  • Xin Zhang — 27 papers, h 43
  • Xin Zhang — 27 papers, h 4

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
collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CV2026

Agentic Tool-Augmented Reasoning for Explainable Image Forgery Detection

Zhiya Tan, Jing Huang, Changtao Miao +5

Conventional image forgery detection methods produce binary scores or pixel-level masks without interpretable evidence, while recent multimodal large language model (MLLM)-based ap…

cs.AI2026

SkillGLoW: Procedural-Family Skill Consolidation for Self-Improving Agents on Long-Horizon Task Streams

Ao Yan, Xin Zhang, Jiawei Du +1

LLM agents increasingly self-improve by writing and reusing textual skills, kept either as one global document or as a flat pool of per-task entries, though most of the evidence co…

cs.LG2026

Visual Latents Know More Than They Say: Unsilencing Latent Reasoning in MLLMs

Xin Zhang, Qiqi Tao, Jiawei Du +2

Continuous latent-space reasoning offers a compact alternative to textual chain-of-thought for multimodal models, enabling high-dimensional visual evidence to be integrated without…

cs.CV2026

Mitigating Entangled Steering in Large Vision-Language Models for Hallucination Reduction

Yuanhong Zhang, Zhaoyang Wang, Xin Zhang +2

Large Vision-Language Models (LVLMs) have achieved remarkable success across cross-modal tasks but remain hindered by hallucinations, producing textual outputs inconsistent with vi…

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