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Haozhe Wang

14 papers hereh-index 5213 citations14 works total

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

author position
  • first author3
  • middle author10
  • last author1

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • cs.SE5
  • cs.AI4
same name
  • Haozhe Wang — 20 papers, h 8
  • Haozhe Wang — 11 papers, h 21
  • Haozhe Wang — 11 papers, h 6
  • Haozhe Wang — 4 papers, h 2
  • Haozhe Wang — 4 papers, h 5
  • Haozhe Wang — 4 papers, h 2

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

most citedStructEval: Benchmarking LLMs' Capabilities to Generate Structural Outputs

2 citations · 2 across the 13 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

AVA-Encoder: Towards Agent-Native Video Representation Learning

Chuyue Li, Jinpeng Yu, Haozhe Wang +7

Video creative agents still lack an effective way to learn from high-quality human films, limiting their ability to produce cinematic-grade videos. A key challenge is the absence o…

cs.CV2026

Rethinking Classifier-Free Guidance in On-Policy Diffusion Distillation

Bingnan Li, Haozhe Wang, Haozhong Xiong +5

On-policy distillation (OPD) adapts diffusion models by querying a teacher along trajectories generated by the current student, but how it should behave under classifier-free guida…

cs.CV2026

Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual Generation

Haozhe Wang, Weijia Feng, Jinpeng Yu +8

Visual generators excel at rendering, but they confidently fabricate what they do not know. User requests are unbounded, evolving, and deeply long-tailed: new characters, trending…

cs.CV2025

VideoScore2: Think before You Score in Generative Video Evaluation

Xuan He, Dongfu Jiang, Ping Nie +21

Recent advances in text-to-video generation have produced increasingly realistic and diverse content, yet evaluating such videos remains a fundamental challenge due to their multi-…

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