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researcher

Dan Zeng

6 papers hereh-index 4165 citations8 works total

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

author position
  • middle author5
  • last author1

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG2
same name
  • Dan Zeng — 14 papers, h 20
  • Dan Zeng — 9 papers, h 3
  • Dan Zeng — 8 papers, h 5
  • Dan Zeng — 5 papers, h 26
  • Dan Zeng — 4 papers
  • Dan Zeng — 3 papers, h 13

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
20232026
most citedPKI: Prior Knowledge-Infused Neural Network for Few-Shot Class-Incremental Learning

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

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026★ 3 cited

PKI: Prior Knowledge-Infused Neural Network for Few-Shot Class-Incremental Learning

Kexin Baoa, Fanzhao Lin, Zichen Wang +3

Few-shot class-incremental learning (FSCIL) aims to continually adapt a model on a limited number of new-class examples, facing two well-known challenges: catastrophic forgetting a…

cs.CV2026

Few-shot Class-Incremental Learning via Generative Co-Memory Regularization

Kexin Bao, Yong Li, Dan Zeng +1

Few-shot class-incremental learning (FSCIL) aims to incrementally learn models from a small amount of novel data, which requires strong representation and adaptation ability of mod…

cs.CV2024

Masked Face Recognition with Generative-to-Discriminative Representations

Shiming Ge, Weijia Guo, Chenyu Li +3

Masked face recognition is important for social good but challenged by diverse occlusions that cause insufficient or inaccurate representations. In this work, we propose a unified…

cs.CV2023

M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy

Hansong Zhang, Shikun Li, Pengju Wang +2

Training state-of-the-art (SOTA) deep models often requires extensive data, resulting in substantial training and storage costs. To address these challenges, dataset condensation h…

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