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researcher

Shun Zhang

8 papers hereh-index 222 citations10 works total

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

author position
  • first author2
  • middle author6

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

fields
  • cs.CV7
  • cs.LG1
same name
  • Shun Zhang — 21 papers, h 31
  • Shun Zhang — 17 papers, h 18
  • Shun Zhang — 12 papers, h 6
  • Shun Zhang — 10 papers, h 14
  • Shun Zhang — 9 papers, h 9
  • Shun Zhang — 8 papers, h 7

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
most citedAdapting Vision Foundation Models for Robust Cloud Segmentation in Remote Sensing Images

1 citations · 1 across the 7 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CV2026

Harnessing CLIP and DINO: An Uncertainty-Aware Cascaded Fusion Network for Generalizable Deepfake Image Detection

Xuechao Zou, Yi Zhou, Kai Li +4

The growing realism and accessibility of manipulated and generated faces threaten the trustworthiness of digital media. To detect such forgeries, deepfake detectors based on vision…

cs.CV2026

Multi-Agent Forensic Reasoning for Generalizable Deepfake Video Detection

Xuechao Zou, Shun Zhang, Kai Li +6

The malicious use of generative artificial intelligence to create highly realistic deepfake videos raises serious ethical concerns and poses substantial challenges to AI safety. Ho…

cs.LG2026

NoRIN: Backbone-Adaptive Reversible Normalization for Time-Series Forecasting

Shun Zhang, Yuyang Xiao

Reversible instance normalization (RevIN) and its successors (Dish-TS, SAN, FAN) have become the de facto plug-in for time-series forecasting, yet the map they apply to each data p…

cs.CV2026

Toward Stable Semi-Supervised Remote Sensing Segmentation via Co-Guidance and Co-Fusion

Yi Zhou, Xuechao Zou, Shun Zhang +7

Semi-supervised remote sensing (RS) image semantic segmentation offers a promising solution to alleviate the burden of exhaustive annotation, yet it fundamentally struggles with ps…

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