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Zeyu Wang

11 papers hereh-index 590 citations20 works total

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

author position
  • first author5
  • middle author5

Across the 10 of 11 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.CE2
  • cond-mat.mtrl-sci1
  • cs.CV1
  • cs.NE1
  • q-bio.MN1
same name
  • Zeyu Wang — 14 papers, h 11
  • Zeyu Wang — 11 papers, h 8
  • Zeyu Wang — 10 papers, h 4
  • Zeyu Wang — 9 papers, h 8
  • Zeyu Wang — 7 papers, h 6
  • Zeyu Wang — 7 papers, h 2

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 citedMulti-Modal Representation Learning for Molecular Property Prediction: Sequence, Graph, Geometry

10 citations · 11 across the 10 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CE2025

Few-shot Molecular Property Prediction: A Survey

Zeyu Wang, Tianyi Jiang, Huanchang Ma +6

AI-assisted molecular property prediction has become a promising technique in early-stage drug discovery and materials design in recent years. However, due to high-cost and complex…

cs.CV2025

ReStNet: A Reusable & Stitchable Network for Dynamic Adaptation on IoT Devices

Maoyu Wang, Yao Lu, Jiaqi Nie +4

With the rapid development of deep learning, a growing number of pre-trained models have been publicly available. However, deploying these fixed models in real-world IoT applicatio…

cs.LG2025

FCOS: A Two-Stage Recoverable Model Pruning Framework for Automatic Modulation Recognition

Yao Lu, Tengfei Ma, Zeyu Wang +5

With the rapid development of wireless communications and the growing complexity of digital modulation schemes, traditional manual modulation recognition methods struggle to extrac…

cs.LG2025★ 1 cited

Adaptive Substructure-Aware Expert Model for Molecular Property Prediction

Tianyi Jiang, Zeyu Wang, Shanqing Yu +1

Molecular property prediction is essential for applications such as drug discovery and toxicity assessment. While Graph Neural Networks (GNNs) have shown promising results by model…

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