Zexuan Wang

Orcid: 0009-0009-0993-1868

According to our database1, Zexuan Wang authored at least 16 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Bi-Lipschitz Autoencoder With Injectivity Guarantee.
CoRR, April, 2026

CombAlign: Enhancing Model Expressiveness in Unsupervised Graph Alignment.
IEEE Trans. Knowl. Data Eng., February, 2026

WorldTravel: A Realistic Multimodal Travel-Planning Benchmark with Tightly Coupled Constraints.
CoRR, February, 2026

Learning Ordered Representations in Latent Space for Intrinsic Dimension Estimation via Principal Component Autoencoder.
CoRR, January, 2026

2025
Multi-Scale Geometric Autoencoder.
CoRR, September, 2025

QOT: Quantized Optimal Transport for sample-level distance matrix in single-cell omics.
Briefings Bioinform., January, 2025

YOLO-SSFA: A Lightweight Real-Time Infrared Detection Method for Small Targets.
Inf., 2025

Fair CCA for Fair Representation Learning: An ADNI Study.
Proceedings of the 16th ACM International Conference on Bioinformatics, 2025

2024
Combining Optimal Transport and Embedding-Based Approaches for More Expressiveness in Unsupervised Graph Alignment.
CoRR, 2024

Deep learning-based approaches for multi-omics data integration and analysis.
BioData Min., 2024

2023
Shape analysis of amygdala atrophy using SPHARM-OT.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

2022
Animal Fur Recognition Algorithm Based on Feature Fusion Network.
J. Multim. Inf. Syst., 2022

Semi-Supervised 3D Medical Image Segmentation Using Shape-Guided Dual Consistency Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Using Optimal Transport to Improve Spherical Harmonic Quantification of Complex Biological Shapes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2020
Feature Extraction of Laser Machining Data by Using Deep Multi-Task Learning.
Inf., 2020

2019
A Community Sensing Approach for User Identity Linkage.
Proceedings of the Advances in Artificial Intelligence, 2019


  Loading...