Selected and Recent Publications

See Google Scholar Profile for all publications

2023

Your Content Goes Here>H. Ni, C. Shi, K. Li, S.X. Huang, M.R. Min, “Conditional Image-to-Video Generation with Latent Flow Diffusion Models,” In Proc. Of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [code]

A.S. Adishesha, L. Jakielaszek, F. Azhar, P. Zhang, V. Honavar, F. Ma, C. Belani, P. Mitra, S.X. Huang, “Forecasting User Interests Through Topic Tag Predictions in Online Health Communities,” In IEEE Journal of Biomedical and Health Informatics, 2023.

Y. Ou, S.X. Huang, K. Wong, J. Cummock, J. Volpi, J.Z. Wang, S. TC Wong, “BBox-Guided Segmentor: Leveraging expert knowledge for accurate stroke lesion segmentation using weakly supervised bounding box prior,” In Computerized Medical Imaging and Graphics, Vol. 107, article No. 102236, 2023.

H. Ni, Y. Xue, L. Ma, Q. Zhang, X. Li, S.X. Huang, “Semi-supervised Body Parsing and Pose Estimation for Enhancing Infant General Movement Assessment,” In Medical Image Analysis, Vol. 83, 2023.

2022

Ni, Y. Xue, K. Wong, J. Volpi, S. TC Wong, J.Z. Wang, X. Huang, “Asymmetry Disentanglement Network for Interpretable Acute Ischemic Stroke Infarct Segmentation in Non-Contrast CT Scans,” In Proc. Of International Conf. on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022. [code]

Ou, Y. Yuan, X. Huang, S. TC Wong, J. Volpi, J.Z. Wang, K. Wong, “Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image Segmentation,” In Proc. Of International Conf. on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022. [code]

Liu, Y. Xue, J. Duarte, K. Shekhawat, Z. Zhou, X. Huang, “End-to-end Graph-constrained Vectorized Floorplan Generation with Panoptic Refinement,” In Proc. of the European Conference on Computer Vision (ECCV), 2022.

Ye, Y.-T. Yeh, Y. Xue, Z. Wang, N. Zhang, L. He, K. Zhang, R. Ricker, Z. Yu, A. Roder, N.P. Lopez, L. Organtini, W. Greene, S. Hafenstein, H. Lu, E. Ghedin, M. Terrones, S. Huang, S.X. Huang, “Accurate virus identification with interpretable Raman signatures by machine learning,” In The Proceedings of the National Academy of Sciences (PNAS), 2022. [code]

Cai, H. Ni, M. Yu, X. Huang, K. Wong, J. Volpi, J. Z. Wang, S. TC Wong, “DeepStroke: An Efficient Stroke Screening Framework for Emergency Rooms with Multimodal Adversarial Deep Learning,” In Medical Image Analysis, Vol. 80, 2022.

Yang, X. Huang, Z. Zhou, “Deep Depth from Focus with Differential Focus Volume,” In Proc. Of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [code]

Liu, P. Ji, N. Bansal, C. Cai, Q. Yan, X. Huang, Y. Xu, “PlaneMVS: 3D Plane Reconstruction from Multi-View Stereo,” In Proc. Of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

Jin, X. Zhang, Y. Chen, S.X. Huang, Z. Liu, Y. Lin, “Unsupervised learning of full-waveform inversion: Connecting CNN and partial differential equation in a loop,” In Proc. Of International Conference on Learning Representations (ICLR), 2022.

2021

Ye, Y. Xue, P. Liu, K.C. Cheng, R. Zaino, X. Huang, “A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis,” In Proc. Of International Conf. on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021. [code]

Ou, Y. Yuan, X. Huang, K. Wong, J. Volpi, J. Z. Wang, S. T.C. Wong, “LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-weighted MR Images,” In Proc. Of International Conf. on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021. [code]

Xue, J. Ye, Q. Zhou, L.R. Long, S. Antani, Z. Xue, C. Cornwell, R. Zaino, K.C. Cheng, X. Huang, “Selective Synthetic Augmentation with HistoGAN for Improved Histopathology Image Classification,” In Medical Image Analysis, 2021.

Xue, Y.C. Guo, H. Zhang, T. Xu, S.H. Zhang, X. Huang, “Deep Image Synthesis from Intuitive User Input: A Review and Perspectives,” In Computational Visual Media, 8(1):3-31, 2022.

2020

Ye, Y. Xue, L.R. Long, S. Antani, Z. Xue, K. Cheng, X. Huang, “Synthetic Sample Selection via Reinforcement Learning,” In Proc. Of International Conf. on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020.

Ni, Y. Xue, Q. Zhang, X. Huang, “SiamParseNet: Joint Body Parsing and Label Propagation in Infant Movement Videos,” In Proc. Of International Conf. on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020.

Yu, T. Cai, X. Huang, K. Wong, J. Volpi, J.Z. Wang, S. TC Wong, “Toward Rapid Stroke Diagnosis with Multimodal Deep Learning,” In Proc. Of International Conf. on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020.

Xue, Z. Zhou, X. Huang, “Neural Wireframe Renderer: Learning Wireframe to Image Translations,” In Proc. of the European Conference on Computer Vision (ECCV), 2020. [code]

Wang, Y. Zhou, X. Qin, S. Nair, X. Huang, Y. Liu, “Label-free detection of rare circulating tumor cells by image analysis and machine learning,” In Scientific Reports, 10(1), 2020.

Xue, H. Tang, Z. Qiao, G. Gong, Y. Yin, Z. Qian, C. Huang, W. Fan, X. Huang, “Shape-Aware Organ Segmentation by Predicting Signed Distance Maps,” In Proc. of 34th AAAI Conference on Artificial Intelligence (AAAI), 2020.

2019

Xue, Q. Zhou, J. Ye, L.R. Long, S. Antani, C. Cornwell, Z. Xue, X. Huang, “Synthetic Augmentation and Feature-based Filtering for Improved Cervical Histopathology Image Classification, In Proc. Of International Conf. on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 387-396, 2019.

Xue, X. Huang, “Improved Disease Classification in Chest X-rays with Transferred Features from Report Generation, In Proc. of International Conf. on Information Processing in Medical Imaging (IPMI), pp. 125-138, 2019.

Xu, C. Langouras, M.A. Koudehi, B.E. Vos, N. Wang, G.H. Koenderink, X. Huang, D. Vavylonis, “Automated Tracking of Biopolymer Growth and Network Deformation with TSOAX, In Scientific Reports, 9(1), p. 1717, 2019. [code]

Zhang, T. Xu, H. Li, S. Zhang, X. Wang, X. Huang, D. Metaxas, “StackGAN++: Realistic Image Synthesis with Stacked
Generative Adversarial Networks, In IEEE Trans. On Pattern Analysis and Machine Intelligence, 41(8), pp. 1947-1962, 2019. [code]

Shen, J. Wang, J. Jiang, S.X. Huang, Y. Lin, C. Nan, L. Chen, Y. Shen, “Phase-field Modeling and Machine Learning of Electric-Thermal-Mechanical Breakdown of Polymer-based Dielectrics, In Nature Communications, 2019.

Ma, T. Xu, X. Huang, X. Wang, C. Li, J. Jerwick, Y. Ning, X. Zeng, B. Wang, Y. Wang, Z. Zhang, X. Zhang, C. Zhou, “Computer-Aided Diagnosis of Label-Free 3D Optical Coherence Microscopy Images of Human Cervical Tissue, In IEEE Trans. on Biomedical Engineering, 2019.

2018

Xue, T. Xu, L.R. Long, Z. Xue, S. Antani, G.R. Thoma, X. Huang, “Multimodal Recurrent Model with Attention for Automated Radiology Report Generation, In Proc. Of International Conf. on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 457-466, 2018.

Xu, P. Zhang, Q. Huang, H. Zhang, Z. Gan, X. Huang, X. He, “AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks, In Proc. Of IEEE Conf. on Computer Vision and Pattern Recognition, 2018. [code]

Xue, T. Xu, H. Zhang, L. R. Long, and X. Huang, “ SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation, In Neuroinformatics, 16(3-4):383-392, 2018. [code]

Yao, Z. Xu, X. Huang, J. Huang, “An Efficient Algorithm for Dynamic MRI using Low-rank and Total Variation Regularizations,” In Medical Image Analysis, Vol. 44, pp. 14-27, 2018.

2017

Zhang, T. Xu, H. Li, S. Zhang, X. Wang, X. Huang, D. Metaxas, “StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks,” In Proc. of International Conf. on Computer Vision, 2017. [code]

Wan, H.C. Lee, X. Huang, T. Xu, T. Xu, X. Zeng, Z. Zhang, Y. Sheikine, J.L. Connolly, J.G. Fujimoto, C. Zhou, “Integrated local binary pattern texture features for classification of breast tissue imaged by Optical Coherence Microscopy,” In Medical Image Analysis, Vol. 38, pp. 104-116, 2017.

Xu, H. Zhang, C. Xin, E. Kim, L.R. Long, Z. Xue, S. Antani, X. Huang, “Multi-feature based benchmark for cervical dysplasia classification evaluation,” In Pattern Recognition, Vol. 63, pp. 468-475, 2017.

2016 – 2009

Xu, H. Zhang, X. Huang , S. Zhang, D. Metaxas, “Multimodal Deep Learning for Cervical Dysplasia Diagnosis,” In Proc. of International Conf. on Medical Image Computing and Computer Assisted Intervention> (MICCAI), LNCS Vol. 9901, pp. 115-123, 2016.

Zhang, T. Xu, M. Elhoseiny, X. Huang, S. Zhang, A. Elgammal, D. Metaxas, “SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition,” In Proc. of IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 1143-1152, 2016.

Zhu, D. Liang, S. Zhang, X. Huang, B. Li, S. Hu, “Traffic-Sign Detection and Classification in the Wild,” In Proc. of IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 2110-2118, 2016.

Xu, D. Vavylonis, F.C. Tsai, G.H. Koenderink, W. Nie, E. Yusuf, I.J. Lee, J.Q. Wu, X. Huang, “SOAX: A software for quantification of 3D biopolymer networks,” In Scientific Reports, 13;5:9081, 2015. [code]

Cheng, N.J. Mitra, X. Huang, P.H.S. Torr, S.M. Hu, “Global Contrast Based Salient Region Detection,” In IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 37(3):569-82, 2015.

Song, E. Kim, X. Huang, J. Patruno, H. Munoz-Avila, J. Heflin, L.R. Long, S. Antani, “Multi-modal Entity Coreference for Cervical Dysplasia Diagnosis,” In IEEE Trans. on Medical Imaging (TMI), 34(1):229-45, 2015.

Li, X. Huang, J. Huang, S. Zhang, “Feature Matching with Affine-Function Transformation Models,” In IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 36(12):2407-22, 2014.

Xu, D. Vavylonis, X. Huang, “3D Actin Network Centerline Extraction with Multiple Active Contours,” In Medical Image Analysis, 18(2):272-84, 2014.

Cheng, N. J. Mitra, X. Huang, S. M. Hu, “SalientShape: Group Saliency in Image Collections,” In Visual Computer, August 2013.

Li, X. Huang, L. He, “Object Matching Using a Locally Affine Invariant and Linear Programming Techniques,” In IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 35(2):411-24, 2013.

Kim, H. Li, X. Huang, “A Hierarchical Image Clustering Cosegmentation Framework,” In Proc. of IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 686-693, 2012.

Kim, X. Huang, G. Tan, “Markup SVG – An Online Content Aware Image Abstraction and Annotation Tool,” In IEEE Trans. on Multimedia (TMM), 13(5):993-1006, 2011.

Shen, H. Li, X. Huang, “Active Volume Models for Medical Image Segmentation,” In IEEE Trans. on Medical Imaging (TMI), 30(3):774-791,
2011.

Li, T. Shen, X. Huang, “Approximately Global Optimization for Robust Alignment of Generalized Shapes,” In IEEE Trans. on Pattern Analysis and
Machine Intelligence(TPAMI), 33(6):1116-1131, 2011.

Kim, X. Huang, J. Heflin, “Finding VIPS – A Visual Image Persons Search Using a Content Property Reasoner and Web Ontology,” In Proc. of IEEE
International Conf. on Multimedia & Expo (ICME), 2011.

Cheng, G. X. Zhang, N. J. Mitra, X. Huang, S. M. Hu, “Global Contrast based Salient Region Detection,” In Proc. of IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 409-416, 2011.

B. Smith, H. Li, T. Shen, X. Huang, E. Yusuf, D. Vavylonis, “Segmentation and Tracking of Cytoskeletal Filaments using Open Active Contours,” In Cytoskeleton, 67(11): 693-705, 2010.

Cheng, F. L. Zhang, N. J. Mitra, X. Huang, S. M. Hu, “RepFinder: Finding Approximately Repeated Scene Elements for Image Editing,” In ACM
Trans. on Graphics, Vol. 29, No. 4, 2010. (Presented at SIGGRAPH 2010)

Li, E. Kim, X. Huang, L. He, “Object Matching with a Locally Affine-Invariant Constraint,” In Proc. of IEEE Computer Society Conf. on
Computer Vision and Pattern Recognition (CVPR), pp. 1641-1648, 2010.

Huang, X. Huang, D. Metaxas, “Learning with Dynamic Group Sparsity,” In Proc. of IEEE International Conf. on Computer Vision (ICCV), pp. 64-71, 2009.