Tianyang Wang - RankMe

74 papers A* 6A 1B 5Misc 3Journal 51Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A-SelecT: Automatic Timestep Selection for Diffusion Transformer Representation Learning. CoRR Changyu Liu, James Chenhao Liang, Wenhao Yang, Yiming Cui, Jinghao Yang, Tianyang Wang, Qifan Wang, Dongfang Liu, Cheng Han
2026	J	`jnl`	Adaptive knowledge transferring with switching dual-student framework for semi-supervised medical image segmentation. Pattern Recognit. Hoang-Thien Nguyen, Thanh-Huy Nguyen, Ba-Thinh Lam, Vi Vu, Bach X. Nguyen, Jianhua Xing, Tianyang Wang, Xingjian Li, Min Xu
2026	A*	`conf`	CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement. AAAI Chenrui Ma, Xi Xiao, Tianyang Wang, Xiao Wang, Yanning Shen
2026	J	`jnl`	Dispersion Loss Counteracts Embedding Condensation and Improves Generalization in Small Language Models. CoRR Chen Liu, Xingzhi Sun, Xi Xiao, Alexandre Van Tassel, Ke Xu, Kristof Reimann, Danqi Liao, Mark Gerstein, Tianyang Wang, Xiao Wang, Smita Krishnaswamy
2026	J	`jnl`	From Specialist to Generalist: Unlocking SAM's Learning Potential on Unlabeled Medical Images. CoRR Vi Vu, Thanh-Huy Nguyen, Tien-Thinh Nguyen, Ba-Thinh Lam, Hoang-Thien Nguyen, Tianyang Wang, Xingjian Li, Min Xu
2026	J	`jnl`	Mind the Rarities: Can Rare Skin Diseases Be Reliably Diagnosed via Diagnostic Reasoning? CoRR Yang Liu, Jiyao Yang, Hongjin Zhao, Xiaoyong Li, Yanzhe Ji, Xingjian Li, Runmin Jiang, Tianyang Wang, Saeed Anwar, Dongwoo Kim, Yue Yao, Zhenyue Qin, Min Xu
2026	J	`jnl`	Not All Directions Matter: Toward Structured and Task-Aware Low-Rank Adaptation. CoRR Xi Xiao, Chenrui Ma, Yunbei Zhang, Chen Liu, Zhuxuanzi Wang, Yanshu Li, Lin Zhao, Guosheng Hu, Tianyang Wang, Hao Xu
2026	J	`jnl`	Prompt-based Adaptation in Large-scale Vision Models: A Survey. Trans. Mach. Learn. Res. 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
2025	J	`jnl`	4D Multimodal Co-attention Fusion Network with Latent Contrastive Alignment for Alzheimer's Diagnosis. CoRR Yuxiang Wei, Yanteng Zhang, Xi Xiao, Tianyang Wang, Xiao Wang, Vince D. Calhoun
2025	J	`jnl`	Adaptive Knowledge Transferring with Switching Dual-Student Framework for Semi-Supervised Medical Image Segmentation. CoRR Thanh-Huy Nguyen, Hoang-Thien Nguyen, Ba Thinh Lam, Vi Vu, Bach X. Nguyen, Jianhua Xing, Tianyang Wang, Xingjian Li, Min Xu
2025	J	`jnl`	AutoMiSeg: Automatic Medical Image Segmentation via Test-Time Adaptation of Foundation Models. CoRR Xingjian Li, Qifeng Wu, Colleen Que, Yiran Ding, Adithya S. Ubaradka, Jianhua Xing, Tianyang Wang, Min Xu
2025	J	`jnl`	Beyond Editing Pairs: Fine-Grained Instructional Image Editing via Multi-Scale Learnable Regions. CoRR Chenrui Ma, Xi Xiao, Tianyang Wang, Yanning Shen
2025	J	`jnl`	CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement. CoRR Chenrui Ma, Rongchang Zhao, Xi Xiao, Hongyang Xie, Tianyang Wang, Xiao Wang, Hao Zhang, Yanning Shen
2025	J	`jnl`	CTR-LoRA: Curvature-Aware and Trust-Region Guided Low-Rank Adaptation for Large Language Models. CoRR Zhuxuanzi Wang, Mingqiao Mo, Xi Xiao, Chen Liu, Chenrui Ma, Yunbei Zhang, Xiao Wang, Smita Krishnaswamy, Tianyang Wang
2025	J	`jnl`	CryoCCD: Conditional Cycle-consistent Diffusion with Biophysical Modeling for Cryo-EM Synthesis. CoRR Runmin Jiang, Genpei Zhang, Yuntian Yang, Siqi Wu, Yuheng Zhang, Wanyue Feng, Yizhou Zhao, Xi Xiao, Xiao Wang, Tianyang Wang, Xingjian Li, Min Xu
2025	—	`conf`	Describe Anything Model for Visual Question Answering on Text-Rich Images. ICCVW Yen-Linh Vu, Dinh-Thang Duong, Truong-Binh Duong, Anh-Khoi Nguyen, Thanh-Huy Nguyen, Le Thien Phuc Nguyen, Jianhua Xing, Xingjian Li, Tianyang Wang, Ulas Bagci, Min Xu
2025	J	`jnl`	Describe Anything Model for Visual Question Answering on Text-rich Images. CoRR Yen-Linh Vu, Dinh-Thang Duong, Truong-Binh Duong, Anh-Khoi Nguyen, Thanh-Huy Nguyen, Le Thien Phuc Nguyen, Jianhua Xing, Xingjian Li, Tianyang Wang, Ulas Bagci, Min Xu
2025	J	`jnl`	Describe Anything in Medical Images. CoRR 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
2025	J	`jnl`	DuetMatch: Harmonizing Semi-Supervised Brain MRI Segmentation via Decoupled Branch Optimization. CoRR Thanh-Huy Nguyen, Hoang-Thien Nguyen, Vi Vu, Ba Thinh Lam, Phat Huynh, Tianyang Wang, Xingjian Li, Ulas Bagci, Min Xu
2025	J	`jnl`	DuetMatch: Harmonizing semi-supervised brain MRI segmentation via decoupled branch optimization. Comput. Medical Imaging Graph. Thanh-Huy Nguyen, Hoang-Thien Nguyen, Vi Vu, Ba Thinh Lam, Phat Huynh, Tianyang Wang, Xingjian Li, Ulas Bagci, Min Xu
2025	J	`jnl`	FOCUS: Fused Observation of Channels for Unveiling Spectra. CoRR Xi Xiao, Aristeidis Tsaris, Anika Tabassum, John H. Lagergren, Larry M. York, Tianyang Wang, Xiao Wang
2025	J	`jnl`	Learning Straight Flows: Variational Flow Matching for Efficient Generation. CoRR Chenrui Ma, Xi Xiao, Tianyang Wang, Xiao Wang, Yanning Shen
2025	J	`jnl`	MoRE-Brain: Routed Mixture of Experts for Interpretable and Generalizable Cross-Subject fMRI Visual Decoding. CoRR Yuxiang Wei, Yanteng Zhang, Xi Xiao, Tianyang Wang, Xiao Wang, Vince D. Calhoun
2025	—	`conf`	Multimodal Generalized Category Discovery. CVPR Workshops Yuchang Su, Renping Zhou, Siyu Huang, Xingjian Li, Tianyang Wang, Ziyue Wang, Min Xu
2025	J	`jnl`	Prompt-based Adaptation in Large-scale Vision Models: A Survey. CoRR 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
2025	J	`jnl`	RoadBench: A Vision-Language Foundation Model and Benchmark for Road Damage Understanding. CoRR Xi Xiao, Yunbei Zhang, Janet Wang, Lin Zhao, Yuxiang Wei, Hengjia Li, Yanshu Li, Xiao Wang, Swalpa Kumar Roy, Hao Xu, Tianyang Wang
2025	J	`jnl`	SaSi: A Self-augmented and Self-interpreted Deep Learning Approach for Few-shot Cryo-ET Particle Detection. CoRR Gokul Adethya T, Bhanu Pratyush Mantha, Tianyang Wang, Xingjian Li, Min Xu
2025	J	`jnl`	Self-Supervised Visual Prompting for Cross-Domain Road Damage Detection. CoRR Xi Xiao, Zhuxuanzi Wang, Mingqiao Mo, Chen Liu, Chenrui Ma, Yanshu Li, Smita Krishnaswamy, Xiao Wang, Tianyang Wang
2025	J	`jnl`	Semi-MoE: Mixture-of-Experts meets Semi-Supervised Histopathology Segmentation. CoRR Nguyen Lan Vi Vu, Thanh-Huy Nguyen, Thien Nguyen, Daisuke Kihara, Tianyang Wang, Xingjian Li, Min Xu
2025	J	`jnl`	Stochastic Interpolants via Conditional Dependent Coupling. CoRR Chenrui Ma, Xi Xiao, Tianyang Wang, Xiao Wang, Yanning Shen
2025	Misc	`conf`	TD-RD: A Top-Down Benchmark with Real-Time Framework for Road Damage Detection. ICASSP Xi Xiao, Zhengji Li, Wentao Wang, Jiacheng Xie, Houjie Lin, Swalpa Kumar Roy, Tianyang Wang, Min Xu
2025	J	`jnl`	TD-RD: A Top-Down Benchmark with Real-Time Framework for Road Damage Detection. CoRR Xi Xiao, Zhengji Li, Wentao Wang, Jiacheng Xie, Houjie Lin, Swalpa Kumar Roy, Tianyang Wang, Min Xu
2025	J	`jnl`	Towards Foundation Models for Cryo-ET Subtomogram Analysis. CoRR 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
2025	A*	`conf`	Visual Instance-aware Prompt Tuning. ACM Multimedia Xi Xiao, Yunbei Zhang, Xingjian Li, Tianyang Wang, Xiao Wang, Yuxiang Wei, Jihun Hamm, Min Xu
2025	J	`jnl`	Visual Instance-aware Prompt Tuning. CoRR Xi Xiao, Yunbei Zhang, Xingjian Li, Tianyang Wang, Xiao Wang, Yuxiang Wei, Jihun Hamm, Min Xu
2025	J	`jnl`	Visual Variational Autoencoder Prompt Tuning. CoRR Xi Xiao, Yunbei Zhang, Yanshuh Li, Xingjian Li, Tianyang Wang, Jihun Hamm, Xiao Wang, Min Xu
2025	J	`jnl`	fMRI-LM: Towards a Universal Foundation Model for Language-Aligned fMRI Understanding. CoRR Yuxiang Wei, Yanteng Zhang, Xi Xiao, Chengxuan Qian, Tianyang Wang, Vince D. Calhoun
2024	—	`conf`	CryoSAM: Training-Free CryoET Tomogram Segmentation with Foundation Models. MICCAI (8) Yizhou Zhao, Hengwei Bian, Michael Mu, Mostofa Rafid Uddin, Zhenyang Li, Xiang Li, Tianyang Wang, Min Xu
2024	A*	`conf`	Deep Active Learning with Noise Stability. AAAI Xingjian Li, Pengkun Yang, Yangcheng Gu, Xueying Zhan, Tianyang Wang, Min Xu, Chengzhong Xu
2024	J	`jnl`	Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware Learning. CoRR Zhaoxin Fan, Runmin Jiang, Junhao Wu, Xin Huang, Tianyang Wang, Heng Huang, Min Xu
2024	—	`conf`	HGTDP-DTA: Hybrid Graph-Transformer with Dynamic Prompt for Drug-Target Binding Affinity Prediction. ICONIP (4) Xi Xiao, Wentao Wang, Jiacheng Xie, Lijing Zhu, Gaofei Chen, Zhengji Li, Tianyang Wang, Min Xu
2024	J	`jnl`	HGTDP-DTA: Hybrid Graph-Transformer with Dynamic Prompt for Drug-Target Binding Affinity Prediction. CoRR Xi Xiao, Wentao Wang, Jiacheng Xie, Lijing Zhu, Gaofei Chen, Zhengji Li, Tianyang Wang, Min Xu
2024	J	`jnl`	MocFormer: A Two-Stage Pre-training-Driven Transformer for Drug-Target Interactions Prediction. Int. J. Comput. Intell. Syst. Yilun Zhang, Wen-Tao Wang, Jia-Hui Guan, Deepak Kumar Jain, Tianyang Wang, Swalpa Kumar Roy
2024	B	`conf`	Multi-dimension Transformer with Attention-based Filtering for Medical Image Segmentation. ICTAI Wentao Wang, Xi Xiao, Mingjie Liu, Qizhen Lan, Xuanyao Huang, Qing Tian, Swalpa Kumar Roy, Tianyang Wang
2024	J	`jnl`	Multi-dimension Transformer with Attention-based Filtering for Medical Image Segmentation. CoRR Wentao Wang, Xi Xiao, Mingjie Liu, Qing Tian, Xuanyao Huang, Qizhen Lan, Swalpa Kumar Roy, Tianyang Wang
2024	J	`jnl`	Multimodal Generalized Category Discovery. CoRR Yuchang Su, Renping Zhou, Siyu Huang, Xingjian Li, Tianyang Wang, Ziyue Wang, Min Xu
2024	J	`jnl`	Temporal Output Discrepancy for Loss Estimation-Based Active Learning. IEEE Trans. Neural Networks Learn. Syst. Siyu Huang, Tianyang Wang, Haoyi Xiong, Bihan Wen, Jun Huan, Dejing Dou
2024	J	`jnl`	Training-free CryoET Tomogram Segmentation. CoRR Yizhou Zhao, Hengwei Bian, Michael Mu, Mostofa Rafid Uddin, Zhenyang Li, Xiang Li, Tianyang Wang, Min Xu
2024	J	`jnl`	Uncertainty-Aware Adapter: Adapting Segment Anything Model (SAM) for Ambiguous Medical Image Segmentation. CoRR Mingzhou Jiang, Jiaying Zhou, Junde Wu, Tianyang Wang, Yueming Jin, Min Xu
2023	J	`jnl`	DeepArt: A Benchmark to Advance Fidelity Research in AI-Generated Content. CoRR Wentao Wang, Xuanyao Huang, Tianyang Wang, Swalpa Kumar Roy
2023	J	`jnl`	DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation. CoRR Zhaoxin Fan, Puquan Pan, Zeren Zhang, Ce Chen, Tianyang Wang, Siyang Zheng, Min Xu
2023	Misc	`conf`	Improving Bert Fine-Tuning via Stabilizing Cross-Layer Mutual Information. ICASSP Jicun Li, Xingjian Li, Tianyang Wang, Shi Wang, Yanan Cao, Cheng-Zhong Xu, Dejing Dou
2023	—	`conf`	Overcoming Catastrophic Forgetting for Fine-Tuning Pre-trained GANs. ECML/PKDD (5) Zeren Zhang, Xingjian Li, Tao Hong, Tianyang Wang, Jinwen Ma, Haoyi Xiong, Cheng-Zhong Xu
2023	A*	`conf`	Towards Inadequately Pre-trained Models in Transfer Learning. ICCV Andong Deng, Xingjian Li, Di Hu, Tianyang Wang, Haoyi Xiong, Cheng-Zhong Xu
2022	A*	`conf`	Boosting Active Learning via Improving Test Performance. AAAI Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu
2022	B	`conf`	Deep Active Learning for Cryo-Electron Tomography Classification. ICIP Tianyang Wang, Bo Li, Jing Zhang, Xiangrui Zeng, Mostofa Rafid Uddin, Wei Wu, Min Xu
2022	J	`jnl`	Deep Active Learning with Noise Stability. CoRR Xingjian Li, Pengkun Yang, Tianyang Wang, Xueying Zhan, Min Xu, Dejing Dou, Chengzhong Xu
2022	J	`jnl`	Deep-Precognitive Diagnosis: Preventing Future Pandemics by Novel Disease Detection With Biologically-Inspired Conv-Fuzzy Network. IEEE Access Aviral Chharia, Rahul Upadhyay, Vinay Kumar, Chao Cheng, Jing Zhang, Tianyang Wang, Min Xu
2022	Misc	`conf`	Parameter-Free Style Projection for Arbitrary Image Style Transfer. ICASSP Siyu Huang, Haoyi Xiong, Tianyang Wang, Bihan Wen, Qingzhong Wang, Zeyu Chen, Jun Huan, Dejing Dou
2022	J	`jnl`	Prolificacy Assessment of Spermatozoan via State-of-the-Art Deep Learning Frameworks. IEEE Access Satish Chandra, Mahendra Kumar Gourisaria, Harshvardhan GM, Debanjan Konar, Xin Gao, Tianyang Wang, Min Xu
2022	J	`jnl`	Temporal Output Discrepancy for Loss Estimation-based Active Learning. CoRR Siyu Huang, Tianyang Wang, Haoyi Xiong, Bihan Wen, Jun Huan, Dejing Dou
2021	J	`jnl`	Boosting Active Learning via Improving Test Performance. CoRR Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu
2021	A*	`conf`	Semi-Supervised Active Learning with Temporal Output Discrepancy. ICCV Siyu Huang, Tianyang Wang, Haoyi Xiong, Jun Huan, Dejing Dou
2021	J	`jnl`	Semi-Supervised Active Learning with Temporal Output Discrepancy. CoRR Siyu Huang, Tianyang Wang, Haoyi Xiong, Jun Huan, Dejing Dou
2020	B	`conf`	I2S2: Image-to-Scene Sketch Translation Using Conditional Input and Adversarial Networks. ICTAI Daniel McGonigle, Tianyang Wang, Juefei Yuan, Kai He, Bo Li
2020	J	`jnl`	Parameter-Free Style Projection for Arbitrary Style Transfer. CoRR Siyu Huang, Haoyi Xiong, Tianyang Wang, Qingzhong Wang, Zeyu Chen, Jun Huan, Dejing Dou
2020	—	`conf`	Semantic Tree-Based 3D Scene Model Recognition. MIPR Juefei Yuan, Tianyang Wang, Shandian Zhe, Yijuan Lu, Bo Li
2019	—	`conf`	Extended 2D Scene Image-Based 3D Scene Retrieval. 3DOR@Eurographics 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
2019	—	`conf`	Extended 2D Scene Sketch-Based 3D Scene Retrieval. 3DOR@Eurographics 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
2019	A	`conf`	Instance-Based Deep Transfer Learning. WACV Tianyang Wang, Jun Huan, Michelle Zhu
2019	B	`conf`	Rethink Gaussian Denoising Prior for Real-World Image Denoising. ICTAI Tianyang Wang, Jun Huan, Bo Li, Kaoning Hu
2018	B	`conf`	Data Dropout: Optimizing Training Data for Convolutional Neural Networks. ICTAI Tianyang Wang, Jun Huan, Bo Li
2018	J	`jnl`	Data Dropout: Optimizing Training Data for Convolutional Neural Networks. CoRR Tianyang Wang, Jun Huan, Bo Li
2018	J	`jnl`	Instance-based Deep Transfer Learning. CoRR Tianyang Wang, Jun Huan, Michelle Zhu