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Jinghao Zhang

7 papers hereh-index 354 citations10 works total

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

author position
  • first author4
  • middle author3

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • cs.LG2
same name
  • Jinghao Zhang — 13 papers, h 13
  • Jinghao Zhang — 10 papers, h 4
  • Jinghao Zhang — 4 papers, h 3
  • Jinghao Zhang — 3 papers, h 1
  • Jinghao Zhang — 2 papers, h 1
  • Jinghao Zhang — 1 paper, h 1

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 2025Show all

4 papers · 1 filter

cs.CV2025

WaterWave: Bridging Underwater Image Enhancement into Video Streams via Wavelet-based Temporal Consistency Field

Qi Zhu, Jingyi Zhang, Naishan Zheng +4

Underwater video pairs are fairly difficult to obtain due to the complex underwater imaging. In this case, most existing video underwater enhancement methods are performed by direc…

cs.LG2025

RLFR: Extending Reinforcement Learning for LLMs with Flow Environment

Jinghao Zhang, Naishan Zheng, Ruilin Li +4

Reinforcement Learning with Verifiable Rewards (RLVR) has recently emerged as a promising framework for improving reasoning abilities in Large Language Models (LLMs). However, poli…

cs.CV2025

Group Critical-token Policy Optimization for Autoregressive Image Generation

Guohui Zhang, Hu Yu, Xiaoxiao Ma +6

Recent studies have extended Reinforcement Learning with Verifiable Rewards (RLVR) to autoregressive (AR) visual generation and achieved promising progress. However, existing metho…

cs.CV2025

Unleashing the Potential of the Semantic Latent Space in Diffusion Models for Image Dehazing

Zizheng Yang, Hu Yu, Bing Li +3

Diffusion models have recently been investigated as powerful generative solvers for image dehazing, owing to their remarkable capability to model the data distribution. However, th…

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