Tianyang Wang

According to our database, Tianyang Wang authored at least 31 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

DuetMatch: Harmonizing Semi-Supervised Brain MRI Segmentation via Decoupled Branch Optimization.

Thanh-Huy Nguyen, Hoang-Thien Nguyen, Vi Vu, Ba Thinh Lam, Phat Huynh, Tianyang Wang, Xingjian Li, Ulas Bagci, Min Xu

CoRR, October, 2025

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

Xi Xiao, Yunbei Zhang, Lin Zhao, Yiyang Liu, Xiaoying Liao, Zheda Mai, Xingjian Li, Xiao Wang, Hao Xu, Jihun Hamm, Xue Lin, Min Xu, Qifan Wang, Tianyang Wang, Cheng Han

CoRR, October, 2025

Towards Foundation Models for Cryo-ET Subtomogram Analysis.

Runmin Jiang, Wanyue Feng, Yuntian Yang, Shriya Pingulkar, Hong Wang, Xi Xiao, Xiaoyu Cao, Genpei Zhang, Xiao Wang, Xiaolong Wu, Tianyang Wang, Yang Liu, Xingjian Li, Min Xu

CoRR, September, 2025

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

Nguyen Lan Vi Vu, Thanh-Huy Nguyen, Thien Nguyen, Daisuke Kihara, Tianyang Wang, Xingjian Li, Min Xu

CoRR, September, 2025

Visual Instance-aware Prompt Tuning.

Xi Xiao, Yunbei Zhang, Xingjian Li, Tianyang Wang, Xiao Wang, Yuxiang Wei, Jihun Hamm, Min Xu

CoRR, July, 2025

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

Runmin Jiang, Genpei Zhang, Yuntian Yang, Siqi Wu, Yuheng Zhang, Wanyue Feng, Yizhou Zhao, Xi Xiao, Xiao Wang, Tianyang Wang, Xingjian Li, Min Xu

CoRR, May, 2025

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

Gokul Adethya T, Bhanu Pratyush Mantha, Tianyang Wang, Xingjian Li, Min Xu

CoRR, May, 2025

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

Xingjian Li, Qifeng Wu, Colleen Que, Yiran Ding, Adithya S. Ubaradka, Jianhua Xing, Tianyang Wang, Min Xu

CoRR, May, 2025

Describe Anything in Medical Images.

Xi Xiao, Yunbei Zhang, Thanh-Huy Nguyen, Ba Thinh Lam, Janet Wang, Lin Zhao, Jihun Hamm, Tianyang Wang, Xingjian Li, Xiao Wang, Hao Xu, Tianming Liu, Min Xu

CoRR, May, 2025

Visual Variational Autoencoder Prompt Tuning.

Xi Xiao, Yunbei Zhang, Yanshuh Li, Xingjian Li, Tianyang Wang, Jihun Hamm, Xiao Wang, Min Xu

CoRR, March, 2025

Multimodal Generalized Category Discovery.

Yuchang Su, Renping Zhou, Siyu Huang, Xingjian Li, Tianyang Wang, Ziyue Wang, Min Xu

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

2024

Temporal Output Discrepancy for Loss Estimation-Based Active Learning.

Siyu Huang, Tianyang Wang, Haoyi Xiong, Bihan Wen, Jun Huan, Dejing Dou

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

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

Mingzhou Jiang, Jiaying Zhou, Junde Wu, Tianyang Wang, Yueming Jin, Min Xu

CoRR, 2024

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

Zhaoxin Fan, Runmin Jiang, Junhao Wu, Xin Huang, Tianyang Wang, Heng Huang, Min Xu

CoRR, 2024

HGTDP-DTA: Hybrid Graph-Transformer with Dynamic Prompt for Drug-Target Binding Affinity Prediction.

Xi Xiao, Wentao Wang, Jiacheng Xie, Lijing Zhu, Gaofei Chen, Zhengji Li, Tianyang Wang, Min Xu

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

Deep Active Learning with Noise Stability.

Xingjian Li, Pengkun Yang, Yangcheng Gu, Xueying Zhan, Tianyang Wang, Min Xu, Chengzhong Xu

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

2023

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

Zhaoxin Fan, Puquan Pan, Zeren Zhang, Ce Chen, Tianyang Wang, Siyang Zheng, Min Xu

CoRR, 2023

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

Zeren Zhang, Xingjian Li, Tao Hong, Tianyang Wang, Jinwen Ma, Haoyi Xiong, Cheng-Zhong Xu

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

Towards Inadequately Pre-trained Models in Transfer Learning.

Andong Deng, Xingjian Li, Di Hu, Tianyang Wang, Haoyi Xiong, Cheng-Zhong Xu

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

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

Jicun Li, Xingjian Li, Tianyang Wang, Shi Wang, Yanan Cao, Cheng-Zhong Xu, Dejing Dou

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Deep Active Learning with Noise Stability.

Xingjian Li, Pengkun Yang, Tianyang Wang, Xueying Zhan, Min Xu, Dejing Dou, Chengzhong Xu

CoRR, 2022

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

Aviral Chharia, Rahul Upadhyay, Vinay Kumar, Chao Cheng, Jing Zhang, Tianyang Wang, Min Xu

IEEE Access, 2022

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

Satish Chandra, Mahendra Kumar Gourisaria, Harshvardhan GM, Debanjan Konar, Xin Gao, Tianyang Wang, Min Xu

IEEE Access, 2022

Deep Active Learning for Cryo-Electron Tomography Classification.

Tianyang Wang, Bo Li, Jing Zhang, Xiangrui Zeng, Mostofa Rafid Uddin, Wei Wu, Min Xu

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

Parameter-Free Style Projection for Arbitrary Image Style Transfer.

Siyu Huang, Haoyi Xiong, Tianyang Wang, Bihan Wen, Qingzhong Wang, Zeyu Chen, Jun Huan, Dejing Dou

Proceedings of the IEEE International Conference on Acoustics, 2022

Boosting Active Learning via Improving Test Performance.

Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu

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

2021

Semi-Supervised Active Learning with Temporal Output Discrepancy.

Siyu Huang, Tianyang Wang, Haoyi Xiong, Jun Huan, Dejing Dou

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

2020

Parameter-Free Style Projection for Arbitrary Style Transfer.

Siyu Huang, Haoyi Xiong, Tianyang Wang, Qingzhong Wang, Zeyu Chen, Jun Huan, Dejing Dou

CoRR, 2020

2019

Instance-Based Deep Transfer Learning.

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.

Tianyang Wang, Jun Huan, Bo Li, Kaoning Hu

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

2018

Data Dropout: Optimizing Training Data for Convolutional Neural Networks.

Tianyang Wang, Jun Huan, Bo Li

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