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ORCIDTianyang Wang 0004
Person information
- affiliation: University of Alabama at Birmingham, USA
Other persons with the same name
- Tianyang Wang — disambiguation page
- Tianyang Wang 0001
![[0000-0002-7256-883X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-7256-883X")
— Tsinghua University, Beijing, China - Tianyang Wang 0002 — Taiyuan University of Technology, Taiyuan, China
- Tianyang Wang 0003 — Colorado State University, Fort Collins, CO, USA
- Tianyang Wang 0005 — City University of Macau, Macau, SAR, China
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2020 – today
- 2025
[c19]Yuchang Su, Renping Zhou, Siyu Huang, Xingjian Li, Tianyang Wang, Ziyue Wang, Min Xu:
Multimodal Generalized Category Discovery. CVPR Workshops 2025: 1634-1643- [c18]Xi Xiao, Zhengji Li, Wentao Wang, Jiacheng Xie, Houjie Lin, Swalpa Kumar Roy, Tianyang Wang, Min Xu:
TD-RD: A Top-Down Benchmark with Real-Time Framework for Road Damage Detection. ICASSP 2025: 1-5 - [i32]Xi Xiao, Zhengji Li, Wentao Wang, Jiacheng Xie, Houjie Lin, Swalpa Kumar Roy, Tianyang Wang, Min Xu:
TD-RD: A Top-Down Benchmark with Real-Time Framework for Road Damage Detection. CoRR abs/2501.14302 (2025) - [i31]Chenrui Ma, Rongchang Zhao, Xi Xiao, Hongyang Xie, Tianyang Wang, Xiao Wang, Hao Zhang, Yanning Shen:
CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement. CoRR abs/2503.07938 (2025) - [i30]Xi Xiao, Yunbei Zhang, Yanshuh Li, Xingjian Li, Tianyang Wang, Jihun Hamm, Xiao Wang, Min Xu:
Visual Variational Autoencoder Prompt Tuning. CoRR abs/2503.17650 (2025) - [i29]Yuxiang Wei, Yanteng Zhang, Xi Xiao, Tianyang Wang, Xiao Wang, Vince D. Calhoun:
4D Multimodal Co-attention Fusion Network with Latent Contrastive Alignment for Alzheimer's Diagnosis. CoRR abs/2504.16798 (2025) - [i28]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:
Describe Anything in Medical Images. CoRR abs/2505.05804 (2025) - [i27]Yuxiang Wei, Yanteng Zhang, Xi Xiao, Tianyang Wang, Xiao Wang, Vince D. Calhoun:
MoRE-Brain: Routed Mixture of Experts for Interpretable and Generalizable Cross-Subject fMRI Visual Decoding. CoRR abs/2505.15946 (2025) - [i26]Xingjian Li, Qifeng Wu, Colleen Que, Yiran Ding, Adithya S. Ubaradka, Jianhua Xing, Tianyang Wang, Min Xu:
AutoMiSeg: Automatic Medical Image Segmentation via Test-Time Adaptation of Foundation Models. CoRR abs/2505.17931 (2025) - [i25]Chenrui Ma, Xi Xiao, Tianyang Wang, Yanning Shen:
Beyond Editing Pairs: Fine-Grained Instructional Image Editing via Multi-Scale Learnable Regions. CoRR abs/2505.19352 (2025) - [i24]Gokul Adethya T, Bhanu Pratyush Mantha, Tianyang Wang, Xingjian Li, Min Xu:
SaSi: A Self-augmented and Self-interpreted Deep Learning Approach for Few-shot Cryo-ET Particle Detection. CoRR abs/2505.19948 (2025) - [i23]Runmin Jiang, Genpei Zhang, Yuntian Yang, Siqi Wu, Yuheng Zhang, Wanyue Feng, Yizhou Zhao, Xi Xiao, Xiao Wang, Tianyang Wang, Xingjian Li, Min Xu:
CryoCCD: Conditional Cycle-consistent Diffusion with Biophysical Modeling for Cryo-EM Synthesis. CoRR abs/2505.23444 (2025) - [i22]Xi Xiao, Yunbei Zhang, Xingjian Li, Tianyang Wang, Xiao Wang, Yuxiang Wei, Jihun Hamm, Min Xu:
Visual Instance-aware Prompt Tuning. CoRR abs/2507.07796 (2025) - [i21]Xi Xiao, Aristeidis Tsaris, Anika Tabassum, John H. Lagergren, Larry M. York, Tianyang Wang, Xiao Wang:
FOCUS: Fused Observation of Channels for Unveiling Spectra. CoRR abs/2507.14787 (2025) - [i20]Xi Xiao, Yunbei Zhang, Janet Wang, Lin Zhao, Yuxiang Wei, Hengjia Li, Yanshu Li, Xiao Wang, Swalpa Kumar Roy, Hao Xu, Tianyang Wang:
RoadBench: A Vision-Language Foundation Model and Benchmark for Road Damage Understanding. CoRR abs/2507.17353 (2025) - [i19]Nguyen Lan Vi Vu, Thanh-Huy Nguyen, Thien Nguyen, Daisuke Kihara, Tianyang Wang, Xingjian Li, Min Xu:
Semi-MoE: Mixture-of-Experts meets Semi-Supervised Histopathology Segmentation. CoRR abs/2509.13834 (2025) - [i18]Chenrui Ma, Xi Xiao, Tianyang Wang, Xiao Wang, Yanning Shen:
Stochastic Interpolants via Conditional Dependent Coupling. CoRR abs/2509.23122 (2025) - [i17]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:
Towards Foundation Models for Cryo-ET Subtomogram Analysis. CoRR abs/2509.24311 (2025) - [i16]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:
Prompt-based Adaptation in Large-scale Vision Models: A Survey. CoRR abs/2510.13219 (2025) - [i15]Thanh-Huy Nguyen, Hoang-Thien Nguyen, Vi Vu, Ba Thinh Lam, Phat Huynh, Tianyang Wang, Xingjian Li, Ulas Bagci, Min Xu:
DuetMatch: Harmonizing Semi-Supervised Brain MRI Segmentation via Decoupled Branch Optimization. CoRR abs/2510.16146 (2025) - 2024
- [j4]Yi-Lun Zhang, Wen-Tao Wang, Jia-Hui Guan, Deepak Kumar Jain, Tianyang Wang, Swalpa Kumar Roy:
MocFormer: A Two-Stage Pre-training-Driven Transformer for Drug-Target Interactions Prediction. Int. J. Comput. Intell. Syst. 17(1): 165 (2024) - [j3]Siyu Huang, Tianyang Wang, Haoyi Xiong, Bihan Wen, Jun Huan, Dejing Dou:
Temporal Output Discrepancy for Loss Estimation-Based Active Learning. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2109-2123 (2024) - [c17]Xingjian Li, Pengkun Yang, Yangcheng Gu, Xueying Zhan, Tianyang Wang, Min Xu, Chengzhong Xu:
Deep Active Learning with Noise Stability. AAAI 2024: 13655-13663 - [c16]Xi Xiao, Wentao Wang, Jiacheng Xie, Lijing Zhu, Gaofei Chen, Zhengji Li, Tianyang Wang, Min Xu:
HGTDP-DTA: Hybrid Graph-Transformer with Dynamic Prompt for Drug-Target Binding Affinity Prediction. ICONIP (4) 2024: 340-354 - [c15]Wentao Wang, Xi Xiao, Mingjie Liu, Qizhen Lan, Xuanyao Huang, Qing Tian, Swalpa Kumar Roy, Tianyang Wang:
Multi-dimension Transformer with Attention-based Filtering for Medical Image Segmentation. ICTAI 2024: 632-639 - [i14]Zhaoxin Fan, Runmin Jiang, Junhao Wu, Xin Huang, Tianyang Wang, Heng Huang, Min Xu:
Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware Learning. CoRR abs/2403.02566 (2024) - [i13]Mingzhou Jiang, Jiaying Zhou, Junde Wu, Tianyang Wang, Yueming Jin, Min Xu:
Uncertainty-Aware Adapter: Adapting Segment Anything Model (SAM) for Ambiguous Medical Image Segmentation. CoRR abs/2403.10931 (2024) - [i12]Wentao Wang, Xi Xiao, Mingjie Liu, Qing Tian, Xuanyao Huang, Qizhen Lan, Swalpa Kumar Roy, Tianyang Wang:
Multi-dimension Transformer with Attention-based Filtering for Medical Image Segmentation. CoRR abs/2405.12328 (2024) - [i11]Xi Xiao, Wentao Wang, Jiacheng Xie, Lijing Zhu, Gaofei Chen, Zhengji Li, Tianyang Wang, Min Xu:
HGTDP-DTA: Hybrid Graph-Transformer with Dynamic Prompt for Drug-Target Binding Affinity Prediction. CoRR abs/2406.17697 (2024) - [i10]Yuchang Su, Renping Zhou, Siyu Huang, Xingjian Li, Tianyang Wang, Ziyue Wang, Min Xu:
Multimodal Generalized Category Discovery. CoRR abs/2409.11624 (2024) - 2023
- [c14]Jicun Li, Xingjian Li, Tianyang Wang, Shi Wang, Yanan Cao, Cheng-Zhong Xu, Dejing Dou:
Improving Bert Fine-Tuning via Stabilizing Cross-Layer Mutual Information. ICASSP 2023: 1-5 - [c13]Andong Deng, Xingjian Li, Di Hu, Tianyang Wang, Haoyi Xiong, Cheng-Zhong Xu:
Towards Inadequately Pre-trained Models in Transfer Learning. ICCV 2023: 19340-19351 - [c12]Zeren Zhang, Xingjian Li, Tao Hong, Tianyang Wang, Jinwen Ma, Haoyi Xiong, Cheng-Zhong Xu:
Overcoming Catastrophic Forgetting for Fine-Tuning Pre-trained GANs. ECML/PKDD (5) 2023: 293-308 - [i9]Zhaoxin Fan, Puquan Pan, Zeren Zhang, Ce Chen, Tianyang Wang, Siyang Zheng, Min Xu:
DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation. CoRR abs/2307.09604 (2023) - [i8]Wentao Wang, Xuanyao Huang, Tianyang Wang, Swalpa Kumar Roy:
DeepArt: A Benchmark to Advance Fidelity Research in AI-Generated Content. CoRR abs/2312.10407 (2023) - 2022
- [j2]Satish Chandra, Mahendra Kumar Gourisaria, Harshvardhan GM, Debanjan Konar, Xin Gao, Tianyang Wang, Min Xu:
Prolificacy Assessment of Spermatozoan via State-of-the-Art Deep Learning Frameworks. IEEE Access 10: 13715-13727 (2022) - [j1]Aviral Chharia, Rahul Upadhyay, Vinay Kumar, Chao Cheng, Jing Zhang, Tianyang Wang, Min Xu:
Deep-Precognitive Diagnosis: Preventing Future Pandemics by Novel Disease Detection With Biologically-Inspired Conv-Fuzzy Network. IEEE Access 10: 23167-23185 (2022) - [c11]Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu:
Boosting Active Learning via Improving Test Performance. AAAI 2022: 8566-8574 - [c10]Siyu Huang, Haoyi Xiong, Tianyang Wang, Bihan Wen, Qingzhong Wang, Zeyu Chen, Jun Huan, Dejing Dou:
Parameter-Free Style Projection for Arbitrary Image Style Transfer. ICASSP 2022: 2070-2074 - [c9]Tianyang Wang, Bo Li, Jing Zhang, Xiangrui Zeng, Mostofa Rafid Uddin, Wei Wu, Min Xu:
Deep Active Learning for Cryo-Electron Tomography Classification. ICIP 2022: 1611-1615 - [i7]Xingjian Li, Pengkun Yang, Tianyang Wang, Xueying Zhan, Min Xu, Dejing Dou, Chengzhong Xu:
Deep Active Learning with Noise Stability. CoRR abs/2205.13340 (2022) - [i6]Siyu Huang, Tianyang Wang, Haoyi Xiong, Bihan Wen, Jun Huan, Dejing Dou:
Temporal Output Discrepancy for Loss Estimation-based Active Learning. CoRR abs/2212.10613 (2022) - 2021
- [c8]Siyu Huang, Tianyang Wang, Haoyi Xiong, Jun Huan, Dejing Dou:
Semi-Supervised Active Learning with Temporal Output Discrepancy. ICCV 2021: 3427-3436 - [i5]Siyu Huang, Tianyang Wang, Haoyi Xiong, Jun Huan, Dejing Dou:
Semi-Supervised Active Learning with Temporal Output Discrepancy. CoRR abs/2107.14153 (2021) - [i4]Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu:
Boosting Active Learning via Improving Test Performance. CoRR abs/2112.05683 (2021) - 2020
- [c7]Daniel McGonigle, Tianyang Wang, Juefei Yuan, Kai He, Bo Li:
I2S2: Image-to-Scene Sketch Translation Using Conditional Input and Adversarial Networks. ICTAI 2020: 773-778 - [c6]Juefei Yuan, Tianyang Wang, Shandian Zhe, Yijuan Lu, Bo Li:
Semantic Tree-Based 3D Scene Model Recognition. MIPR 2020: 85-90 - [i3]Siyu Huang, Haoyi Xiong, Tianyang Wang, Qingzhong Wang, Zeyu Chen, Jun Huan, Dejing Dou:
Parameter-Free Style Projection for Arbitrary Style Transfer. CoRR abs/2003.07694 (2020)
2010 – 2019
- 2019
- [c5]Juefei Yuan, Hameed Abdul-Rashid, Bo Li, Yijuan Lu, Tobias Schreck, Ngoc-Minh Bui, Trong-Le Do, Khac-Tuan Nguyen, Thanh-An Nguyen, Vinh-Tiep Nguyen, Minh-Triet Tran, Tianyang Wang:
Extended 2D Scene Sketch-Based 3D Scene Retrieval. 3DOR@Eurographics 2019: 33-39 - [c4]Hameed Abdul-Rashid, Juefei Yuan, Bo Li, Yijuan Lu, Tobias Schreck, Ngoc-Minh Bui, Trong-Le Do, Mike Holenderski, Dmitri Jarnikov, Tu-Khiem Le, Vlado Menkovski, Khac-Tuan Nguyen, Thanh-An Nguyen, Vinh-Tiep Nguyen, Van-Tu Ninh, Luis A. Pérez Rey, Minh-Triet Tran, Tianyang Wang:
Extended 2D Scene Image-Based 3D Scene Retrieval. 3DOR@Eurographics 2019: 41-48 - [c3]Tianyang Wang, Jun Huan, Bo Li, Kaoning Hu:
Rethink Gaussian Denoising Prior for Real-World Image Denoising. ICTAI 2019: 1664-1668 - [c2]Tianyang Wang, Jun Huan, Michelle Zhu:
Instance-Based Deep Transfer Learning. WACV 2019: 367-375 - 2018
- [c1]Tianyang Wang, Jun Huan, Bo Li:
Data Dropout: Optimizing Training Data for Convolutional Neural Networks. ICTAI 2018: 39-46 - [i2]Tianyang Wang, Jun Huan, Bo Li:
Data Dropout: Optimizing Training Data for Convolutional Neural Networks. CoRR abs/1809.00193 (2018) - [i1]Tianyang Wang, Jun Huan, Michelle Zhu:
Instance-based Deep Transfer Learning. CoRR abs/1809.02776 (2018)
Coauthor Index
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