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Hang Hua

University of Rochester

18 papers hereh-index 15795 citations24 works total

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

author position
  • first author6
  • middle author10

Across the 16 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CV12
  • cs.CL3
  • cs.AI1
  • cs.HC1
  • cs.SI1
affiliations
  • University of Rochester
same name
  • Hang Hua — 27 papers, h 6

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
20192025
most citedControllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation

68 citations · 124 across the 17 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CV2025

MIRA: Multimodal Iterative Reasoning Agent for Image Editing

Ziyun Zeng, Hang Hua, Jiebo Luo

Instruction-guided image editing offers an intuitive way for users to edit images with natural language. However, diffusion-based editing models often struggle to accurately interp…

cs.AI2025

Latent Chain-of-Thought for Visual Reasoning

Guohao Sun, Hang Hua, Jian Wang +5

Chain-of-thought (CoT) reasoning is critical for improving the interpretability and reliability of Large Vision-Language Models (LVLMs). However, existing training algorithms such…

cs.CV2025

MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models

Hang Hua, Ziyun Zeng, Yizhi Song +5

Recent multimodal image generators such as GPT-4o, Gemini 2.0 Flash, and Gemini 2.5 Pro excel at following complex instructions, editing images and maintaining concept consistency.…

cs.CV2025

The Tenth NTIRE 2025 Efficient Super-Resolution Challenge Report

Bin Ren, Hang Guo, Lei Sun +143

This paper presents a comprehensive review of the NTIRE 2025 Challenge on Single-Image Efficient Super-Resolution (ESR). The challenge aimed to advance the development of deep mode…

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