Yuyang Xu

Orcid: 0000-0003-4503-4098

According to our database1, Yuyang Xu authored at least 20 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Versatile and Risk-Sensitive Cardiac Diagnosis via Graph-Based ECG Signal Representation.
IEEE Trans. Big Data, April, 2026

Multi-Path Multi-Parameter Joint Estimation for EMVS Model via PARAFAC Tensor Analysis.
IEEE Trans. Wirel. Commun., 2026

Trend-aware structure relearning framework for water quality prediction with coupled noise governance.
Expert Syst. Appl., 2026

A Mode-Partitioned Gamma Mixture Model Estimation Method for Large-Scale Multimodal Data.
Big Data Min. Anal., 2026

2025
Echo-N1: Affective RL Frontier.
CoRR, December, 2025

Decouple, Reorganize, and Fuse: A Multimodal Framework for Cancer Survival Prediction.
CoRR, August, 2025

SSPO: Self-traced Step-wise Preference Optimization for Process Supervision and Reasoning Compression.
CoRR, August, 2025

Large language models could be rote learners.
CoRR, April, 2025

BioGSF: a graph-driven semantic feature integration framework for biomedical relation extraction.
Briefings Bioinform., January, 2025

A Progressively-Passing-Then-Disentangling Approach to Recipe Recommendation.
IEEE Trans. Multim., 2025

LLMs Can Simulate Standardized Patients via Agent Coevolution.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
A Protein-Context Enhanced Master Slave Framework for Zero-Shot Drug Target Interaction Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024

Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge.
Medical Image Anal., 2024

LLMs Can Simulate Standardized Patients via Agent Coevolution.
CoRR, 2024

Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge.
CoRR, 2024

PoCo: A Self-Supervised Approach via Polar Transformation Based Progressive Contrastive Learning for Ophthalmic Disease Diagnosis.
CoRR, 2024

2023
ERStruct: a fast Python package for inferring the number of top principal components from whole genome sequencing data.
BMC Bioinform., December, 2023

Time-Aware Context-Gated Graph Attention Network for Clinical Risk Prediction.
IEEE Trans. Knowl. Data Eng., July, 2023

SparseByteNN: A Novel Mobile Inference Acceleration Framework Based on Fine-Grained Group Sparsity.
CoRR, 2023

2021
A comprehensive comparison of residue-level methylation levels with the regression-based gene-level methylation estimations by ReGear.
Briefings Bioinform., 2021


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