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Zhenghao Wu

University College Dublin,Hong Kong University of Science and Technology, Beijing Normal University-Hong Kong Baptist University United International College (UIC)

4 papers hereh-index 353 citations7 works total

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

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG2
affiliations
  • University College Dublin,Hong Kong University of Science and Technology, Beijing Normal University-Hong Kong Baptist University United International College (UIC)
HomepageORCID 0000-0002-8323-7841
same name
  • Zhenghao Wu — 2 papers, h 13
  • Zhenghao Wu — 2 papers, 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

collaborators

4 papers

cs.LG2025

TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction

Zhongyi Yu, Jianqiu Wu, Zhenghao Wu +4

Temporal graph link prediction aims to predict future interactions between nodes in a graph based on their historical interactions, which are encoded in node embeddings. We observe…

cs.CV2025

DAE-Fuse: An Adaptive Discriminative Autoencoder for Multi-Modality Image Fusion

Yuchen Guo, Ruoxiang Xu, Rongcheng Li +1

In extreme scenarios such as nighttime or low-visibility environments, achieving reliable perception is critical for applications like autonomous driving, robotics, and surveillanc…

cs.CV2024

Leveraging CORAL-Correlation Consistency Network for Semi-Supervised Left Atrium MRI Segmentation

Xinze Li, Runlin Huang, Zhenghao Wu +4

Semi-supervised learning (SSL) has been widely used to learn from both a few labeled images and many unlabeled images to overcome the scarcity of labeled samples in medical image s…

cs.LG2024

M3-Impute: Mask-guided Representation Learning for Missing Value Imputation

Zhongyi Yu, Zhenghao Wu, Shuhan Zhong +4

Missing values are a common problem that poses significant challenges to data analysis and machine learning. This problem necessitates the development of an effective imputation me…

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