Hongyan Xu

Orcid: 0000-0003-3846-5236

Affiliations:
  • University of New South Wales, Sydney, NSW, Australia


According to our database1, Hongyan Xu authored at least 20 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
VLA-ATTC: Adaptive Test-Time Compute for VLA Models with Relative Action Critic Model.
CoRR, May, 2026

Sentinel-VLA: A Metacognitive VLA Model with Active Status Monitoring for Dynamic Reasoning and Error Recovery.
CoRR, May, 2026

LEGATO: Good Identity Unlearning Is Continuous.
CoRR, January, 2026

ROVER: Robust Generative Continual Identity Unlearning Against Relearning Attacks.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
ADNet: A Large-Scale and Extensible Multi-Domain Benchmark for Anomaly Detection Across 380 Real-World Categories.
CoRR, November, 2025

DeCoP: Enhancing Self-Supervised Time Series Representation with Dependency Controlled Pre-training.
CoRR, September, 2025

Addressing Granularity-induced Semantic Drift in OvOD via Graph-guided semantically consistent representation.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

UniMRG: Refining Medical Semantic Understanding Across Modalities via LLM-Orchestrated Synergistic Evolution.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

TinyMIG: Transferring Generalization from Vision Foundation Models to Single-Domain Medical Imaging.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024
Skin-Path.
Dataset, November, 2024

MetaDD: Boosting Dataset Distillation with Neural Network Architecture-Invariant Generalization.
CoRR, 2024

Detecting Any instruction-to-answer interaction relationship: Universal Instruction-to-Answer Navigator for Med-VQA.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

SCD-NAS: Towards Zero-Cost Training in Melanoma Diagnosis.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

TCNAS: Transformer Architecture Evolving in Code Clone Detection.
Proceedings of the IEEE International Conference on Acoustics, 2024

Beyond the Limit of Weight-Sharing: Pioneering Space-Evolving NAS with Large Language Models.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Detection of Basal Cell Carcinoma in Whole Slide Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
CNN-based Local Vision Transformer for COVID-19 Diagnosis.
CoRR, 2022

Multi-scale alignment and Spatial ROI Module for COVID-19 Diagnosis.
Proceedings of the International Joint Conference on Neural Networks, 2022

Data Agnostic Filter Gating For Efficient Deep Networks.
Proceedings of the IEEE International Conference on Acoustics, 2022

2020
Data Agnostic Filter Gating for Efficient Deep Networks.
CoRR, 2020


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