Tianyu Han

Orcid: 0000-0001-6582-165X

According to our database1, Tianyu Han authored at least 36 papers between 2012 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
UAV-Aided Information Collection Method Based on Joint Optimization of Node Access and Flight Strategy.
IEEE Trans. Veh. Technol., March, 2024

A Point Cloud Registration Framework with Color Information Integration.
Remote. Sens., March, 2024

Encrypted federated learning for secure decentralized collaboration in cancer image analysis.
Medical Image Anal., February, 2024

Generative modeling for medical image analysis.
PhD thesis, 2024

Scattering moment matching-based interpretable domain adaptation for transfer diagnostic tasks.
Neurocomputing, 2024

Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data.
CoRR, 2024

Safety-Critical Stabilization of Force-Controlled Nonholonomic Robots.
CoRR, 2024

Compute-Efficient Medical Image Classification with Softmax-Free Transformers and Sequence Normalization.
CoRR, 2024

LongHealth: A Question Answering Benchmark with Long Clinical Documents.
CoRR, 2024

On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
Joint Optimization of Trajectory and Node Access in UAV-Aided Data Collection System.
IEEE Syst. J., June, 2023

From Text to Image: Exploring GPT-4Vision's Potential in Advanced Radiological Analysis across Subspecialties.
CoRR, 2023

Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative Pretraining.
CoRR, 2023

Medical Foundation Models are Susceptible to Targeted Misinformation Attacks.
CoRR, 2023

Empowering Clinicians and Democratizing Data Science: Large Language Models Automate Machine Learning for Clinical Studies.
CoRR, 2023

MedAlpaca - An Open-Source Collection of Medical Conversational AI Models and Training Data.
CoRR, 2023

Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Transformers for CT Reconstruction from Monoplanar and Biplanar Radiographs.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2023

Vector-Quantized Latent Flows for Medical Image Synthesis and Out-Of-Distribution Detection.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Wavelet Scattering Cyclostationarity Representation for Machine Intelligent Fault Diagnosis.
Proceedings of the 9th International Conference on Mechatronics and Robotics Engineering, 2023

2022
Image prediction of disease progression for osteoarthritis by style-based manifold extrapolation.
Nat. Mac. Intell., November, 2022

Bin similarity-based domain adaptation for fine-grained image classification.
Int. J. Intell. Syst., 2022

Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis.
CoRR, 2022

Diffusion Probabilistic Models beat GANs on Medical Images.
CoRR, 2022

Medical Diffusion - Denoising Diffusion Probabilistic Models for 3D Medical Image Generation.
CoRR, 2022

Novice Type Error Diagnosis with Natural Language Models.
Proceedings of the Programming Languages and Systems - 20th Asian Symposium, 2022

2021
Predicting Osteoarthritis Progression in Radiographs via Unsupervised Representation Learning.
CoRR, 2021

Unsupervised Domain Adaptation for Bearing Fault Diagnosis Considering the Decision Boundaries.
Proceedings of the International IEEE Conference on Prognostics and Health Management, 2021

A Language Model for Intelligent Speech Recognition of Power Dispatching.
Proceedings of the ACM TURC 2021: ACM Turing Award Celebration Conference - Hefei, China, 30 July 2021, 2021

2020
Joint maintenance and spare parts inventory optimization for multi-unit systems considering imperfect maintenance actions.
Reliab. Eng. Syst. Saf., 2020

A soft gripper with variable stiffness inspired by pangolin scales, toothed pneumatic actuator and autonomous controller.
Robotics Comput. Integr. Manuf., 2020

Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization.
CoRR, 2020

Modeling Identifiable Data in Industrial Internet.
IEEE Access, 2020

2019
A Wiener-Process-Model-Based Method for Remaining Useful Life Prediction Considering Unit-to-Unit Variability.
IEEE Trans. Ind. Electron., 2019

2015
Monoplistic efficiency: A performance analysis on the market structure of the e-commerce industry.
Proceedings of the 2015 International Conference on Behavioral, 2015

2012
Performance Prediction for MPI Parallel Jobs.
Proceedings of the 2012 IEEE International Conference on Cluster Computing Workshops, 2012


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