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Dong Ni

4 papers hereh-index 3108 citations6 works total

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

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG1
  • eess.IV1
same name
  • Dong Ni — 22 papers, h 6
  • Dong Ni — 21 papers, h 43
  • Dong Ni — 14 papers
  • Dong Ni — 11 papers, h 13
  • Dong Ni — 6 papers, h 4
  • Dong Ni — 4 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
20232025
most citedPAPM: A Physics-aware Proxy Model for Process Systems

2 citations · 3 across the 2 of their papers we have counts for

collaborators

4 papers

eess.IV2025

SAMora: Enhancing SAM through Hierarchical Self-Supervised Pre-Training for Medical Images

Shuhang Chen, Hangjie Yuan, Pengwei Liu +3

The Segment Anything Model (SAM) has demonstrated significant potential in medical image segmentation. Yet, its performance is limited when only a small amount of labeled data is a…

cs.LG2024★ 2 cited

PAPM: A Physics-aware Proxy Model for Process Systems

Pengwei Liu, Zhongkai Hao, Xingyu Ren +3

In the context of proxy modeling for process systems, traditional data-driven deep learning approaches frequently encounter significant challenges, such as substantial training cos…

cs.CV2024★ 1 cited

LUM-ViT: Learnable Under-sampling Mask Vision Transformer for Bandwidth Limited Optical Signal Acquisition

Lingfeng Liu, Dong Ni, Hangjie Yuan

Bandwidth constraints during signal acquisition frequently impede real-time detection applications. Hyperspectral data is a notable example, whose vast volume compromises real-time…

cs.CV2023

InstructVideo: Instructing Video Diffusion Models with Human Feedback

Hangjie Yuan, Shiwei Zhang, Xiang Wang +7

Diffusion models have emerged as the de facto paradigm for video generation. However, their reliance on web-scale data of varied quality often yields results that are visually unap…

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