Xin Wang
Xin Wang
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Dr. Xin Wang is a Tenure Track Assistant Professor in the Department of Epidemiology and Biostatistics, College of Integrated Health Sciences, and AI Plus Institute, University at Albany, SUNY.
Dr. Xin Wang received his Ph.D. degree in Computer Science from the University at Albany, State University of New York (SUNY) in 2015. He was a research intern at Microsoft Research Asia (2011) and GE Global Research Center (2014, 2015). He worked at a startup AI Medical Device Company in Seattle (2016-2023). His research interests include Artificial Intelligence, AI in Health and Medical Innovation, Medical Image Analysis, Reinforcement Learning, Large Language Models, Multimedia, and Human-Centered AI. He is a Senior Member of IEEE (Since 2020) and the Associate Editor of the IEEE Transactions on Multimedia.
News 2025:
One paper accepted by IJCAI 2025.
One paper accepted by ICML 2025.
One paper accepted by CVPR 2025.
One paper accepted by AAAI 2025.
Selected Papers
Selected Papers
# indicates the corresponding author.
Mingyang Wu, Li Lin, Wenbin Zhang, Xin Wang, Zhenhuan Yang, Shu Hu. Preserving AUC Fairness in Learning with Noisy Protected Groups. The 42nd International Conference on Machine Learning (ICML), 2025.
Xin Wang, Ting Yu Tsai, Li Lin, Hui Guo, Shu Hu, Ming-Ching Chang, Pradeep K. Atrey, and Siwei Lyu. Spotting the Fakes: A Deep Dive into GAN-Generated Face Detection. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) , 2025.
Jing Hu, Chengming Feng, Shu Hu, Ming-Ching Chang, Xin Li, Xi Wu, Xin Wang#. RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation. The 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025.
Li Lin, Santosh, Mingyang Wu, Xin Wang, Shu Hu. AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark. The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [PDF][Code]
Hainan Ren, Li Lin, Chun-Hao Liu, Xin Wang, Shu Hu. Improving Generalization for AI-Synthesized Voice Detection. The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025. [PDF]
Ying Fu, Xinyu Zhu, Xiaojie Li, Xin Wang#, Xi Wu, Shu Hu, Yi Wu, Siwei Lyu, Wei Liu. VB-KGN: Variational Bayesian Kernel Generation Networks for Motion Image Deblurring. IEEE Transactions on Multimedia (TMM) 2024. [PDF][Code]
Ting Yu Tsai, Li Lin, Shu Hu, Ming-Ching, Hongtu Zhu, Xin Wang#. UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image Segmentation. IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR), 2024. [PDF][Code]
Yicui Peng, Hao Chen, Chingsheng Lin, Guo Huang, Jinrong Hu, Hui Guo, Bin Kong, Shu Hu, Xi Wu, Xin Wang#. Uncertainty-Aware Explainable Recommendation with Large Language Models. IJCNN 2024. [PDF]
Shu Hu, Xin Wang, and Siwei Lyu. Rank-based Decomposable Losses in Machine Learning: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. [PDF]
C. Feng, J. Hu, Xin Wang#, S. Hu, B. Zhu, X. Wu, H. Zhu, S. Lyu. Controlling Neural Style Transfer with Deep Reinforcement Learning. International Joint Conference on Artificial Intelligence (IJCAI), 2023. [PDF]
Xin Wang, Hui Guo, Shu Hu, Ming-Ching Chang, Siwei Lyu. GAN-generated Faces Detection: A Survey and New Perspectives. 26th European Conference on Artificial Intelligence (ECAI), 2023. [PDF]
Wenbo Pu, Jing Hu, Xin Wang#, Yuezun Li, Shu Hu, Bin Zhu, Qi Song, Xi Wu and Siwei Lyu. Learning a Deep Dual-Level Network for Robust DeepFake Detection. Pattern Recognition, 2022. [Code]
Shu. Hu, Yiming. Ying, Xin Wang, Siwei. Lyu. Sum of Ranked Range Loss for Supervised Learning. Journal of Machine Learning Research (JMLR). 2022.
Ziwei Luo, Jing Hu, Xin Wang#, Shu Hu, Bin Kong, Youbing Yin, Qi Song, Xi Wu and Siwei Lyu. Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration. In AAAI Conference on Artificial Intelligence (AAAI), 2022.
J. Hu, Z. Luo, Xin Wang#, S. Sun, Y. Yin, K. Cao, Q. Song, S. Lyu, X. Wu. End-to-end multimodal image registration via reinforcement learning. Medical Image Analysis (MedIA), 2021.
S. Hu, L. Ke, Xin Wang, S. Lyu. TKML-AP: Adversarial Attacks to Top-k Multi-Label Learning. International Conference on Computer Vision (ICCV), virtual, 2021.
Ziwei Luo, Jing Hu, Xin Wang#, Siwei Lyu, Bin Kong, Youbing Yin, Qi Song and Xi Wu. Stochastic Actor-Executor-Critic for Image-to-Image Translation. In International Joint Conference on Artificial Intelligence (IJCAI), virtual, 2021.
S. Hu, Y. Ying, Xin Wang, S. Lyu. Learning by Minimizing the Sum of Ranked Range. Advances in Neural Information Processing Systems (NeurIPS), 2020.
Z. Guo, J. Bai, Y. Lu, Xin Wang, K. Cao, Q. Song, M. Sonka, Y. Yin. DeepCenterline: a Multi-task Fully Convolutional Network for Centerline Extraction. Information Processing in Medical Imaging (IPMI). 2019.
Xin Wang, Ming-Ching Chang, Lan Wang and Siwei Lyu. Efficient Algorithms for Graph Regularized PLSA for Probabilistic Topic Modeling. Pattern Recognition, 86:236-247, 2019.
B. Kong, S. Sun, Xin Wang, Q. Song, S. Zhang. Towards Efficient and Accurate Invasive Cancer Detection Utilizing Compressed and Fully Convolutional Neural Network. International Conference On Medical Image Computing Assisted Intervention (MICCAI), 2018.
B. Kong, Xin Wang, Z. Li, Q. Song, S. Zhang. Cancer Metastasis Detection via Spatially Structured Deep Network. International Conference on Information Processing in Medical Imaging (IPMI), North Carolina, USA, 2017.
Xin Wang, Yiming Ying, Ming-Ching Chang and Siwei Lyu. Co-regularized PLSA For Multi-Modal Learning. In 30th AAAI Conference on Artificial Intelligence (AAAI-16), Phoenix, AZ, United States, 2016.
Siwei Lyu and Xin Wang. On Algorithms of Sparse Multi-factor Nonnegative Matrix Factorization. In Advances in Neural Information Processing Systems (NIPS), South Lake Tahoe, CA, United States, 2013.
G. Fu and Xin Wang. Chinese Sentence-level Sentiment Classification based on Fuzzy Sets. Proceedings of the 23rd International Conference on Computational Linguistics (COLING), 2010.
Research
Research
Software
❤️[Heart] AI for Cardiovascular Disease (CVD) Diagnosis. 🏆FDA-approved🏆
Dr. Wang is the inventor of the DEEPVESSEL FFR algorithm.
DEEPVESSEL FFR is U.S. Food and Drug Administration (FDA) Cleared, CE Marked, and NMPA Approved. [FDA] [Youtube]
DEEPVESSEL FFR has been available in the USA since Jan. 2023.
DEEPVESSEL FFR was approved by the Health Sciences Authority (HSA), Singapore, 2024.
Granted US Patents of DVFFR
Xin Wang, Y. Yin, D. Wu, K. Cao, Y. Li. Method and system for predicting blood flow features based on medical images. 2019-04-02 Application granted. [PDF]
Xin Wang, Y. Yin, K. Cao, J. Bai, Y. Lu, B. Ouyang, Q. Song. Method and system for anatomical tree structure analysis. 2019-10-01Application granted. [PDF]
Xin Wang, Y. Yin, K. Cao, J. Bai, Y. Lu, B. Ouyang, Q. Song. Automatic method and system for vessel refine segmentation in biomedical images using tree structure based deep learning model. 2019-10-01Application granted. [PDF]
Xin Wang, Y. Yin, J. Bai, Y. Lu, Qi Song, K. Cao. Automatic method and system for vessel refine segmentation in biomedical images using tree structure based deep learning model. 2020-02-25 Application granted. [PDF]
Xin Wang, Y. Yin, K. Cao, Y. Li, J. Bai, X. Xu. Systems and methods for determining blood vessel conditions. 2020-10-13 Application granted. [PDF]
Xin Wang, Y. Yin, J. Bai, Y. Li, Y. Lu, K. Cao, Q. Song. Prediction method for healthy radius of blood vessel path, prediction method for candidate stenosis of blood vessel path, and blood vessel stenosis degree prediction device. 2021-06-08 Application granted. [PDF]
Xin Wang, Y. Yin, Q. Song, J. Bai, Y. Lu, Y. Wu, F. Gao, K. Cao. Method and system for generating a centerline for an object, and computer readable medium. 2022-04-19 Application granted. [PDF]
Xin Wang, Y. Yin, J. Bai, Q. Song, K. Cao, Y. Lu, F. Gao. Method and system for disease quantification modeling of anatomical tree structure. 2022-10-04 Application granted. [PDF]
Xin Wang, Y. Yin, J. Bai, Y. Lu, Y. Li, K. Cao, Q. Song. Prediction method for healthy radius of blood vessel path, prediction method for candidate stenosis of blood vessel path, and blood vessel stenosis degree prediction device. 2023-10-03 Application granted. [PDF]
Xin Wang, Y. Yin, B. Kong, Y. Lu, X. Guo, H. Yang, J. Bai, Q. Song. Method and system for anatomical labels generation. 2024-09-17 Application granted. [PDF]
❤️[Brain] AI for intracranial hemorrhage (ICH) Diagnosis. 🏆FDA-approved🏆
Computer-aided triage and notification system for early recognition of intracranial hemorrhage (ICH) from head CT scans has received 510(k) clearance from the U.S. Food and Drug Administration (FDA). [PDF]
Granted US Patents of ICH
Reinforcement Learning for Vision and Medical Vision [Code]
Jing Hu, Chengming Feng, Shu Hu, Ming-Ching Chang, Xin Li, Xi Wu, Xin Wang#. RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation. The 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025.
Chengming Feng, Jing Hu, Xin Wang#, Shu Hu, Bin Zhu, Xi Wu, Hongtu Zhu, Siwei Lyu. Controlling Neural Style Transfer with Deep Reinforcement Learning. International Joint Conference on Artificial Intelligence (IJCAI), 2023. [PDF]
Yanfei Xiang, Xin Wang#, Shu Hu, Bin Zhu, Xiaomeng Huang, Xi Wu, Siwei Lyu. RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023. [PDF]
Ziwei Luo, Jing Hu, Xin Wang#, Shu Hu, Bin Kong, Youbing Yin, Qi Song, Xi Wu and Siwei Lyu. Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration. In AAAI Conference on Artificial Intelligence (AAAI), 2022. [PDF]
J. Hu, Z. Luo, Xin Wang#, S. Sun, Y. Yin, K. Cao, Q. Song, S. Lyu, X. Wu. End-to-end Multimodal Image Registration via Reinforcement Learning. Medical Image Analysis (MedIA), 2021. [PDF]
Ziwei Luo, Jing Hu, Xin Wang#, Siwei Lyu, Bin Kong, Youbing Yin, Qi Song and Xi Wu. Stochastic Actor-Executor-Critic for Image-to-Image Translation. In International Joint Conference on Artificial Intelligence (IJCAI), virtual, 2021. [PDF]
Generalized Medical Imaging Foundation Model (G-MIFM)
Xin Wang, Xiaoyu Liu, Peng, Huang, Pu Huang, Shu Hu, Hongtu Zhu. U-MedSAM: Uncertainty-aware MedSAM for Medical Image Segmentation. arXiv 2024. [PDF][Code]
Xin Wang, Hongtu Zhu. Artificial Intelligence in Image-based Cardiovascular Disease Analysis: A Comprehensive Survey and Future Outlook. arXiv 2024. [PDF]
Ting Yu Tsai, Li Lin, Shu Hu, Ming-Ching, Hongtu Zhu, Xin Wang#. UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image Segmentation. IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR), 2024. [PDF][Code]
Jing Hu, Kaiwei Yu, Hongjiang Xian, Shu Hu, Xin Wang. Improving Generalization of Medical Image Registration Foundation Model. The International Joint Conference on Neural Networks (IJCNN), 2025. [PDF]
Medical Question Answering and LLM
Hang Yang, Hao Chen, Hui Guo, Yineng Chen, Ching-Sheng Lin, Shu Hu, Jinrong Hu, Xi Wu, Xin Wang. LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models. The International Joint Conference on Neural Networks (IJCNN), 2025. [PDF]
Philip Liu, Sparsh Bansal, Jimmy Dinh, Aditya Pawar, Ramani Satishkumar, Shail Desai, Neeraj Gupta, Xin Wang, Shu Hu. MedChat: A Multi-Agent Framework for Multimodal Diagnosis with Large Language Model. EEE 8th International Conference on Multimedia Information Processing and Retrieval (MIPR), 2025. [PDF]
Yicui Peng, Hao Chen, Chingsheng Lin, Guo Huang, Jinrong Hu, Hui Guo, Bin Kong, Shu Hu, Xi Wu, Xin Wang. Uncertainty-Aware Explainable Recommendation with Large Language Models. The International Joint Conference on Neural Networks (IJCNN), 2024. [PDF]
T. Liu, Xin Wang, C. Lv, R. Zhen, and G. Fu. Sentence Matching with Syntax- and Semantics-Aware BERT. Proceedings of the 28th International Conference on Computational Linguistics (COLING), 2020. [PDF]
Talk
Talk
Causal Generalist Medical AI. Duke & Chen Institute Joint Boot Camp for AI & AI Accelerated Medical Research. Duke University, 2025.
Medical Image Foundation Models and Their Applications. Banff International Research Station, Banff, Canada, 2025.
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