Xi Xiao

Orcid: 0009-0000-0931-6982

Affiliations:
  • Oak Ridge National Laboratory, Oak Ridge, TN, USA


According to our database1, Xi Xiao authored at least 30 papers between 2024 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Detail Consistent Stage-Wise Distillation for Efficient 3D MRI Segmentation.
CoRR, May, 2026

Drift Flow Matching.
CoRR, May, 2026

Not All Directions Matter: Toward Structured and Task-Aware Low-Rank Adaptation.
CoRR, March, 2026

Dispersion Loss Counteracts Embedding Condensation and Improves Generalization in Small Language Models.
CoRR, February, 2026

ComfySearch: Autonomous Exploration and Reasoning for ComfyUI Workflows.
CoRR, January, 2026

Prompt-based Adaptation in Large-scale Vision Models: A Survey.
Trans. Mach. Learn. Res., 2026

Information-theoretic graph fusion with vision-language-action model for policy reasoning and dual robotic control.
Inf. Fusion, 2026

RoadBench: A Vision-Language Foundation Model and Benchmark for Road Damage Understanding.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

Self-Supervised Visual Prompting for Cross-Domain Road Damage Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

4D Multimodal Co-attention Fusion Network with Latent Contrastive Alignment for Alzheimer's Diagnosis.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

Not All Directions Matter: Towards Structured and Task-Aware Low-Rank Model Adaptation.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
fMRI-LM: Towards a Universal Foundation Model for Language-Aligned fMRI Understanding.
CoRR, November, 2025

Learning Straight Flows: Variational Flow Matching for Efficient Generation.
CoRR, November, 2025

CTR-LoRA: Curvature-Aware and Trust-Region Guided Low-Rank Adaptation for Large Language Models.
CoRR, October, 2025

Towards Foundation Models for Cryo-ET Subtomogram Analysis.
CoRR, September, 2025

Stochastic Interpolants via Conditional Dependent Coupling.
CoRR, September, 2025

FOCUS: Fused Observation of Channels for Unveiling Spectra.
CoRR, July, 2025

CryoCCD: Conditional Cycle-consistent Diffusion with Biophysical Modeling for Cryo-EM Synthesis.
CoRR, May, 2025

Beyond Editing Pairs: Fine-Grained Instructional Image Editing via Multi-Scale Learnable Regions.
CoRR, May, 2025

MoRE-Brain: Routed Mixture of Experts for Interpretable and Generalizable Cross-Subject fMRI Visual Decoding.
CoRR, May, 2025

Describe Anything in Medical Images.
CoRR, May, 2025

Visual Variational Autoencoder Prompt Tuning.
CoRR, March, 2025

CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement.
CoRR, March, 2025

ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling.
Proceedings of the International Conference for High Performance Computing, 2025

ETT-CKGE: Efficient Task-Driven Tokens for Continual Knowledge Graph Embedding.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

Visual Instance-aware Prompt Tuning.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

TD-RD: A Top-Down Benchmark with Real-Time Framework for Road Damage Detection.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Multi-dimension Transformer with Attention-based Filtering for Medical Image Segmentation.
Proceedings of the 36th IEEE International Conference on Tools with Artificial Intelligence, 2024

HGTDP-DTA: Hybrid Graph-Transformer with Dynamic Prompt for Drug-Target Binding Affinity Prediction.
Proceedings of the Neural Information Processing - 31st International Conference, 2024


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