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Hui Yu

4 papers hereh-index 7176 citations12 works total

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

author position
  • middle author4

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

fields
  • cs.LG2
  • cs.CV1
  • cs.HC1
same name
  • Hui Yu — 25 papers, h 14
  • Hui Yu — 23 papers, h 13
  • Hui Yu — 7 papers, h 5
  • Hui Yu — 6 papers, h 31
  • Hui Yu — 5 papers, h 3
  • Hui Yu — 5 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
20192023
most citedDeep Clustering With Intra-class Distance Constraint for Hyperspectral Images

2 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2023

CTAGE: Curvature-Based Topology-Aware Graph Embedding for Learning Molecular Representations

Yili Chen, Zhengyu Li, Zheng Wan +2

AI-driven drug design relies significantly on predicting molecular properties, which is a complex task. In current approaches, the most commonly used feature representations for tr…

cs.CV2023

Autoencoders with Intrinsic Dimension Constraints for Learning Low Dimensional Image Representations

Jianzhang Zheng, Hao Shen, Jian Yang +5

Autoencoders have achieved great success in various computer vision applications. The autoencoder learns appropriate low dimensional image representations through the self-supervis…

cs.HC2022

Hand and Arm Gesture-based Human-Robot Interaction: A Review

Xihao Wang, Hao Shen, Hui Yu +2

The study of Human-Robot Interaction (HRI) aims to create close and friendly communication between humans and robots. In the human-center HRI, an essential aspect of implementing a…

cs.LG2019★ 2 cited

Deep Clustering With Intra-class Distance Constraint for Hyperspectral Images

Jinguang Sun, Wanli Wang, Xian Wei +5

The high dimensionality of hyperspectral images often results in the degradation of clustering performance. Due to the powerful ability of deep feature extraction and non-linear fe…

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