Tianyang Wang

Orcid: 0000-0003-3184-0566

Affiliations:

University of Alabama at Birmingham, Department of Computer Science, Birmingham, AL, USA

According to our database¹, Tianyang Wang authored at least 50 papers between 2018 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

Article

PhD thesis

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Other

Bibliography

2025

Adaptive Knowledge Transferring with Switching Dual-Student Framework for Semi-Supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, October, 2025

Prompt-based Adaptation in Large-scale Vision Models: A Survey.

[BibT_eX]

[DOI]

CoRR, October, 2025

Towards Foundation Models for Cryo-ET Subtomogram Analysis.

[BibT_eX]

[DOI]

CoRR, September, 2025

Stochastic Interpolants via Conditional Dependent Coupling.

[BibT_eX]

[DOI]

CoRR, September, 2025

Semi-MoE: Mixture-of-Experts meets Semi-Supervised Histopathology Segmentation.

[BibT_eX]

[DOI]

CoRR, September, 2025

RoadBench: A Vision-Language Foundation Model and Benchmark for Road Damage Understanding.

[BibT_eX]

[DOI]

CoRR, July, 2025

FOCUS: Fused Observation of Channels for Unveiling Spectra.

[BibT_eX]

[DOI]

CoRR, July, 2025

Describe Anything Model for Visual Question Answering on Text-rich Images.

[BibT_eX]

[DOI]

CoRR, July, 2025

Visual Instance-aware Prompt Tuning.

[BibT_eX]

[DOI]

CoRR, July, 2025

CryoCCD: Conditional Cycle-consistent Diffusion with Biophysical Modeling for Cryo-EM Synthesis.

[BibT_eX]

[DOI]

CoRR, May, 2025

SaSi: A Self-augmented and Self-interpreted Deep Learning Approach for Few-shot Cryo-ET Particle Detection.

[BibT_eX]

[DOI]

Gokul Adethya T

Bhanu Pratyush Mantha

Tianyang Wang

Xingjian Li

Min Xu

CoRR, May, 2025

Beyond Editing Pairs: Fine-Grained Instructional Image Editing via Multi-Scale Learnable Regions.

[BibT_eX]

[DOI]

CoRR, May, 2025

AutoMiSeg: Automatic Medical Image Segmentation via Test-Time Adaptation of Foundation Models.

[BibT_eX]

[DOI]

CoRR, May, 2025

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

[BibT_eX]

[DOI]

CoRR, May, 2025

Describe Anything in Medical Images.

[BibT_eX]

[DOI]

CoRR, May, 2025

4D Multimodal Co-attention Fusion Network with Latent Contrastive Alignment for Alzheimer's Diagnosis.

[BibT_eX]

[DOI]

CoRR, April, 2025

Visual Variational Autoencoder Prompt Tuning.

[BibT_eX]

[DOI]

CoRR, March, 2025

CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement.

[BibT_eX]

[DOI]

CoRR, March, 2025

DuetMatch: Harmonizing semi-supervised brain MRI segmentation via decoupled branch optimization.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2025

TD-RD: A Top-Down Benchmark with Real-Time Framework for Road Damage Detection.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Multimodal Generalized Category Discovery.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

MocFormer: A Two-Stage Pre-training-Driven Transformer for Drug-Target Interactions Prediction.

[BibT_eX]

[DOI]

Int. J. Comput. Intell. Syst., December, 2024

Temporal Output Discrepancy for Loss Estimation-Based Active Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Training-free CryoET Tomogram Segmentation.

[BibT_eX]

[DOI]

CoRR, 2024

Uncertainty-Aware Adapter: Adapting Segment Anything Model (SAM) for Ambiguous Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware Learning.

[BibT_eX]

[DOI]

CoRR, 2024

CryoSAM: Training-Free CryoET Tomogram Segmentation with Foundation Models.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Multi-dimension Transformer with Attention-based Filtering for Medical Image Segmentation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 31st International Conference, 2024

Deep Active Learning with Noise Stability.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

DeepArt: A Benchmark to Advance Fidelity Research in AI-Generated Content.

[BibT_eX]

[DOI]

CoRR, 2023

DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Overcoming Catastrophic Forgetting for Fine-Tuning Pre-trained GANs.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Towards Inadequately Pre-trained Models in Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Improving Bert Fine-Tuning via Stabilizing Cross-Layer Mutual Information.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Deep Active Learning with Noise Stability.

[BibT_eX]

[DOI]

CoRR, 2022

Deep-Precognitive Diagnosis: Preventing Future Pandemics by Novel Disease Detection With Biologically-Inspired Conv-Fuzzy Network.

[BibT_eX]

[DOI]

IEEE Access, 2022

Prolificacy Assessment of Spermatozoan via State-of-the-Art Deep Learning Frameworks.

[BibT_eX]

[DOI]

Satish Chandra

Mahendra Kumar Gourisaria

IEEE Access, 2022

Deep Active Learning for Cryo-Electron Tomography Classification.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Parameter-Free Style Projection for Arbitrary Image Style Transfer.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Boosting Active Learning via Improving Test Performance.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Semi-Supervised Active Learning with Temporal Output Discrepancy.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Parameter-Free Style Projection for Arbitrary Style Transfer.

[BibT_eX]

[DOI]

CoRR, 2020

Semantic Tree-Based 3D Scene Model Recognition.

[BibT_eX]

[DOI]

Proceedings of the 3rd IEEE Conference on Multimedia Information Processing and Retrieval, 2020

I2S2: Image-to-Scene Sketch Translation Using Conditional Input and Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

2019

Instance-Based Deep Transfer Learning.

[BibT_eX]

[DOI]

Tianyang Wang

Jun Huan

Michelle Zhu

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Rethink Gaussian Denoising Prior for Real-World Image Denoising.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Extended 2D Scene Sketch-Based 3D Scene Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 12th Eurographics Workshop on 3D Object Retrieval, 2019

Extended 2D Scene Image-Based 3D Scene Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 12th Eurographics Workshop on 3D Object Retrieval, 2019

2018

Data Dropout: Optimizing Training Data for Convolutional Neural Networks.

[BibT_eX]

[DOI]

Tianyang Wang

Jun Huan

Bo Li

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Tianyang Wang

Timeline

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