Xin Wang
Email: xwang56@albany.edu
Dr. Xin Wang is a Tenure Track Assistant Professor in the Department of Epidemiology and Biostatistics at the University at Albany School of Public Health. He is a faculty member of the UAlbany AI Institute and Global Center for AI in Mental Health.
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 (Keya Medical) in Seattle (2016-2023). His research interests include Artificial Intelligence, AI Foundation Models, AI for Health Science, Medical Image Analysis, Reinforcement Learning, Large Language Model, AI for Social Good, and Social Media Forensics. He is a Senior Member of IEEE.
Looking for self-motivated Ph.D. students, postdocs, interns, and visitors, experience in AI-related research is preferred. Please email me with your CV if you are interested.
UAlbany Heath AI (HAI) Lab
Current PhD student:
Ting-Yu Tsai
Preprints
Xin Wang, Hongtu Zhu. Artificial Intelligence in Image-based Cardiovascular Disease Analysis: A Comprehensive Survey and Future Outlook. arXiv 2024. [PDF]
Xin Wang, Ziwei Luo, Jing Hu, Chengming Feng, Shu Hu, Bin Zhu, Xi Wu, Siwei Lyu. Image-to-Image Translation with Deep Reinforcement Learning. arXiv 2024. [PDF]
Li Lin, Neeraj Gupta, Yue Zhang, Hainan Ren, Chun-Hao Liu, Feng Ding, Xin Wang, Xin Li, Luisa Verdoliva, Shu Hu. Detecting Multimedia Generated by Large AI Models: A Survey. arXiv 2024. [PDF]
Shanmin Yang, Shu Hu, Bin Zhu, Ying Fu, Siwei Lyu, Xi Wu, Xin Wang#. Improving Cross-dataset Deepfake Detection with Deep Information Decomposition. arXiv 2023. [PDF]
Publications
Please find his papers listed on the Google Scholar.
Selected Papers
# indicates the leading or corresponding author.
Li Lin, Xinan He, Yan Ju, Xin Wang, Feng Ding, Shu Hu. Preserving Fairness Generalization in Deepfake Detection. CVPR, 2024. [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. IJCNN 2024. [PDF]
Tiewen Chen, Shanmin Yang, Shu Hu, Zhenghan Fang, Ying Fu, Xi Wu, Xin Wang#. Masked Conditional Diffusion Model for Enhancing Deepfake Detection. IJCNN 2024. [PDF]
Jing Hu, Qinrui Fan, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang#. UMedMeRF: Uncertainty-aware Single View Volumetric Rendering for Medical Neural Radiance Fields. International Symposium on Biomedical Imaging (ISBI), 2024. [PDF]
Shu Hu, Zhenhuan Yang, Xin Wang, Yiming Ying and Siwei Lyu. Outlier Robust Adversarial Training. Asian Conference on Machine Learning (ACML), 2023.
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]
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]
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]
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]
Hui Guo, Xin Wang and Siwei Lyu. Detection of Real-time DeepFakes in Video Conferencing with Active Probing and Corneal Reflection. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rohdes Island, Greek, 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.
Shu. Hu, Yiming. Ying, Xin Wang, Siwei. Lyu. Sum of Ranked Range Loss for Supervised Learning. Journal of Machine Learning Research (JMLR). 2022.
Hui Guo, Shu Hu, Xin Wang#, Ming-Ching Chang and Siwei Lyu. Eyes Tell All: Irregular Pupil Shapes Reveal GAN-Generated Faces. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, 2022.
C. Gong, K. Bin, E. Seibel, Xin Wang#, Y. Yin, Q. Song. Synergistic Network Learning and Label Correction for Noise-robust Image Classification. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 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.
T. Liu, Xin Wang, C. Lv, R. Zhen and G. Fu. Sentence Matching with Syntax- and Semantics-Aware BERT. Proceedings of the 28rd International Conference on Computational Linguistics (COLING), 2020.
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. Gao*, X. Wang*# (*Co-first author), S. Sun, D. Wu, J. Bai, Y. Yin, X. Liu, H. Zhang. Learning Physical Properties in Complex Visual Scenes: An Intelligent Machine for Perceiving Blood Flow Dynamics from Static CT Angiography Imaging. Neural Networks, 2020.
B. Kong, Xin Wang#, J. Bai, Y. Lu, F. Gao, K. Cao, J. Xia, Q. Song, S. Lyu, Y. Yin. Learning Tree-Structured Representation for 3D Coronary Artery Segmentation. Computerized Medical Imaging and Graphics (CMIG), 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.
D. Wu*, X. Wang*# (*Co-first author), J. Bai, X. Xu, B. Ouyang, Y. Li, H. Zhang, Q. Song, K. Cao, Y. Yin. Automated Anatomical Labeling of Coronary Arteries via Bidirectional Tree LSTMs. International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2018.
B. Kong*, Xin Wang* (*Equal Contribution), 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
Lifting 2D Medical Image to 3D
UMedMeRF: Uncertainty-aware Single-view Volumetric Rendering for Medical Neural Radiance Field. [PDF]
Medical Image Analysis for Public Health
[Heart Health] AI for Cardiovascular Disease (CVD) analysis.
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 is approved by the Health Sciences Authority (HSA), and available in 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]
[Lung Health] Artificial Intelligence Distinguishes COVID-19 from Community-Acquired Pneumonia on Chest CT (COVNet)
The first AI-Assisted Diagnosis COVID paper [PDF].
Granted US Patents of COVNet
Xin Wang, Y. Yin, B. Kong, Y. Lu, J.Bai, Z. Fang, Q. Song. Method and system for diagnosis of COVID-19 using artificial intelligence. 2022-06-14 Application granted. [PDF]
Xin Wang, Y. Yin, B. Kong, Y. Lu, J. Bai, Z. Fang, Q. Song. Method and system for diagnosis of COVID-19 disease progression using artificial intelligence. 2022-06-14 Application granted. [PDF]
[Brain Health] 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
Deep Reinforcement Learning (DRL) for Image and Video Generation
General RL Framework for Image, Video, and Medical Image Generation Tasks
Xin Wang, Ziwei Luo, Jing Hu, Chengming Feng, Shu Hu, Bin Zhu, Xi Wu, Siwei Lyu. Image-to-Image Translation with Deep Reinforcement Learning. arXiv 2023. [PDF]
Applications on Neural Style Transfer
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]
Applications on Medical Image.
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]
Applications on Image.
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]
Applications on Robots.
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]
AI for Social Good (AI4SG)
AI for Social Media Good (Media Forensics)
Eyes Tell All: Irregular Pupil Shapes Reveal AI-generated Faces. ICASSP 2022.
Detecte DeepFakes in Video Conferencing (e.g., Zoom) with Active Probing and Corneal Reflection. ICASSP 2023. [PDF]
A survey paper is accepted in the ECAI 2023 Special track: AI for Social Good. [PDF]