Hao Zheng
Publications

Preprints

Xiaoyang Chen, Hao Zheng, Yifang Xie, Yuncong Ma, and Tengfei Li. A Classifier-Free Incremental Learning Framework for Scalable Medical Image Segmentation. PDF
Hao Zheng, Hongming Li, and Yong Fan. CoCoNet: Coupled Cortical Surface Reconstruction via Diffeomorphic Deformation.

2024

Peixian Liang, Hao Zheng, Hongming Li, Yuxin Gong, Yong Fan. Enhancing Whole Slide Image Classification with Discriminative and Contrastive Learning. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Marrakesh, Morocco, 2024. PDF (Early acceptance rate: 11%)
Xiaoyang Chen, Hao Zheng, Yuemeng Li, Yuncong Ma, Liang Ma, Hongming Li, Yong Fan. Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation. IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), Seattle, USA, 2024. PDF (Acceptance rate: 23.6%)
Jun Han, Hao Zheng, and Chongke Bi. KD-INR: Time-Varying Volumetric Data Compression via Knowledge Distillation-based Implicit Neural Representation. IEEE Transactions on Visualization and Computer Graphics (TVCG). PDF [IF: 5.2]

2023

Hao Zheng, Hongming Li, and Yong Fan. Coupled Reconstruction of Cortical Surfaces by Diffeomorphic Mesh Deformation. Neural Information Processing Systems (NeurIPS), New Orleans, USA, 2023. PDF (Acceptance rate: 26.1%)
Yejia Zhang, Pengfei Gu, Nishchal Sapkota, Hao Zheng, Peixian Liang, and Danny Z. Chen. A Point in the Right Direction: Vector Prediction for Spatially-Aware Self-Supervised Volumetric Representation Learning. IEEE International Symposium on Biomedical Imaging (ISBI), Cartagena, Colombia, Apr 2023. PDF
Hao Zheng, Hongming Li, and Yong Fan. SurfNN: Joint Multiple Cortical Surfaces Reconstruction from 3D Brain MRIs. IEEE International Symposium on Biomedical Imaging (ISBI), Cartagena, Colombia, Apr 2023. PDF
Bojian Hou, Hongming Li, Zhicheng Jiao, Zhen Zhou, Hao Zheng, and Yong Fan. Deep Clustering Survival Machines with Interpretable Expert Distributions. IEEE International Symposium on Biomedical Imaging (ISBI), Cartagena, Colombia, Apr 2023. PDF
Yizhe Zhang, Natalie Imirzian, Christoph Kurze, Hao Zheng, David P. Hughes, and Danny Z. Chen. Learning from Algorithm-Generated Pseudo-Annotations for Detecting Ants in Videos. Scientific Reports, 2023. PDF [IF: 5.0]

2022

Yejia Zhang, Pengfei Gu, Nishchal Sapkota, Yaopeng Peng, Hao Zheng, Danny Z. Chen. Keep Your Friends Close & Enemies Farther: Debiasing Contrastive Learning with Spatial Priors in 3D Radiology Images. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022. PDF (Acceptance rate: 19.8%)
Yaopeng Peng, Hao Zheng, Peixian Liang, Lichun Zhang, Fahim Zaman, Xiaodong Wu, Milan Sonka, and Danny Z. Chen. KCB-Net: A 3D Knee Cartilage and Bone Segmentation Network via Sparse Annotation. Medical Image Analysis (MIA), 2022. PDF [IF: 12.4]
Yizhe Zhang, Suraj Mishra, Peixian Liang, Hao Zheng, and Danny Z. Chen. Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models. International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Singapore, Sept 2022. PDF (Acceptance rate: 30%)
Susan M. Motch Perrine, M. Kathleen Pitirri, Emily L. Durham, Mizuho Kawasaki, Hao Zheng, Danny Z. Chen, Kazuhiko Kawasaki, and Joan T. Richtsmeier. A Dysmorphic Mouse Model Reveals Developmental Interactions of Chondrocranium and Dermatocranium. eLife, 2022. PDF [IF: 8.7]
M. Kathleen Pitirri, Emily L. Durham, Natalie Romano, Jacob Santos, Hao Zheng, Danny Z. Chen, Kazuhiko Kawasaki, Ethylin. W. Jabs, Joan T. Richtsmeier, Meng Wu, and Susan M. Motch Perrine. Meckel’s Cartilage in Mandibular Development and Dysmorphogenesis. Frontiers in Genetics, 2022. PDF [IF: 4.8]
Yaopeng Peng, Hao Zheng, Lichun Zhang, Milan Sonka, and Danny Z. Chen. CMC-Net: 3D Calf Muscle Compartment Segmentation with Sparse Annotation. Medical Image Analysis (MIA), 2022. PDF [IF: 12.4]
Hongxiao Wang, Hao Zheng, and Danny Z. Chen. TANGO: A GO-term Embedding Based Method for Protein Semantic Similarity Prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 2022. PDF
Jun Han, Hao Zheng, Danny Z. Chen, and Chaoli Wang. STNet: An End-to-End Generative Framework for Synthesizing Spatiotemporal Super-Resolution Volumes. IEEE Transactions on Visualization and Computer Graphics (TVCG, accepted to IEEE Vis 2021), 28(1):270-280, Jan 2022. PDF [IF: 5.2]

2021

Hao Zheng, Jun Han, Hongxiao Wang, Lin Yang, Zhuo Zhao, Chaoli Wang, and Danny Z. Chen. Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation. International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Strasbourg, France, Sept 2021. PDF (Early acceptance rate: 13%) [Student Travel Award]
Pengfei Gu, Hao Zheng, Yizhe Zhang, Chaoli Wang, and Danny Z. Chen. kCBAC-Net: Deeply Supervised Complete Bipartite Networks with Asymmetric Convolutions for Medical Image Segmentation. International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Strasbourg, France, Sept 2021. PDF (Acceptance rate: 32.7%)
Jun Han, Hao Zheng, Yunhao Xing, Danny Z. Chen, and Chaoli Wang. V2V: A Deep Learning Approach to Variable-to-Variable Selection and Translation for Multivariate Time-Varying Data. IEEE Transactions on Visualization and Computer Graphics (TVCG, accepted to IEEE SciVis 2020), 27(2):1290-1300, Feb 2021. PDF [IF: 5.2]

2020

Hongxiao Wang, Hao Zheng, Jianxu Chen, Lin Yang, and Danny Z. Chen. Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Seoul, Korea, pages 815-820, Dec 2020. PDF (Acceptance rate: 19.4%)
Hao Zheng, Susan M. Motch Perrine, M. Kathleen Pitirri, Kazuhiko Kawasaki, Chaoli Wang, Joan T. Richtsmeier, and Danny Z. Chen. Cartilage Segmentation in High-Resolution 3D Micro-CT Images via Uncertainty-Guided Self-Training with Very Sparse Annotation. International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Lima, Peru, pages 802-812, Oct 2020. PDF (Acceptance rate: 30%)
Zhuo Zhao, Hongxiao Wang, Yizhe Zhang, Hao Zheng, Siyuan Zhang, and Danny Z. Chen. A Coarse-to-Fine Data Generation Method for 2D and 3D Cell Nucleus Segmentation. International Symposium on Computer-Based Medical Systems (CBMS), Mayo Clinic, Rochester, MN, 2020.
Peixian Liang, Jianxu Chen, Yizhe Zhang, Hongxiao Wang, Hao Zheng, Pengfei Gu, and Danny Z. Chen. InTracker: An Integrated Detector-tracker Framework for Cell Detection and Tracking. International Symposium on Computer-Based Medical Systems (CBMS), Mayo Clinic, Rochester, MN, 2020.
Li Guo, Shaojie Ye, Jun Han, Hao Zheng, Hao Gao, Danny Z. Chen, Jian-Xun Wang, and Chaoli Wang. SSR-VFD: Spatial Super-Resolution for Vector Field Data Analysis and Visualization. IEEE Pacific Visualization Symposium (PacificVis) , Tianjin, China, 2020. (Acceptance rate: 27.1%)
Tianxiao Hu, Hao Zheng, Chen Liang, Sirou Zhu, Natalie Imirzian, Yizhe Zhang, Chaoli Wang, Danny Z. Chen, and David P. Hughes. AntVis: AWeb-Based Visual Analytics Tool for Exploring Ant Movement Data. Visual Informatics , 4(1):58-70, Mar 2020. PDF
Hao Zheng, Yizhe Zhang, Lin Yang, Chaoli Wang, and Danny Z. Chen. An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training. AAAI Conference on Artificial Intelligence (AAAI), New York, NY, pages 6925-6932, Feb 2020. PDF (Acceptance rate: 20.6%) [Spotlight]

2019

Yang Zhang, Ruohan Zong, Jun Han, Hao Zheng, Qiuwen Lou, Daniel Yue Zhang, and Dong Wang Transland: An adversarial transfer learning approach for migratable urban land usage classification using remote sensing. IEEE International Conference on Big Data (Big Data), Los Angeles, USA, pages 1567-1576, Dec 2019. PDF (Acceptance rate: 19.3%)
Hao Zheng, Lin Yang, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, and Danny Z. Chen. HFA-Net: 3D Cardiovascular Image Segmentation with Asymmetrical Pooling and Content-Aware Fusion. International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Shenzhen, China, pages 759-767, Oct 2019. PDF (Acceptance rate: 31%)
Jun Han, Jun Tao, Hao Zheng, Hanqi Guo, Danny Z. Chen, and Chaoli Wang Flow Field Reduction via Reconstructing Vector Data from 3D Streamlines Using Deep Learning. IEEE Computer Graphics and Applications (Special Issue on Deep Learning in Visualization and Image Processing), 39(4):54-67, Jul/Aug 2019. [Presented at IEEE VIS 2020]
Yizhe Zhang, Lin Yang, Hao Zheng, Peixian Liang, Colleen Mangold, Raquel G. Loreto, David P. Hughes, and Danny Z. Chen. SPDA: Superpixel-based Data Augmentation forBiomedical Image Segmentation. International Conference on Medical Imaging with Deep Learning (MIDL), London, UK., Jul 2019. PDF [Oral]
Peixian Liang, Jianxu Chen, Hao Zheng, Lin Yang, Yizhe Zhang, and Danny Z. Chen. Cascade Decoder: A Universal Decoding Method for Biomedical Image Segmentation. IEEE International Symposium on Biomedical Imaging (ISBI), Venice, Italy, pages 339-342, Apr 2019. PDF [Oral]
Hao Zheng, Yizhe Zhang, Lin Yang, Peixian Liang, Zhuo Zhao, Chaoli Wang, and Danny Z. Chen. A New Ensemble Learning Framework for 3D Biomedical Image Segmentation. AAAI Conference on Artificial Intelligence (AAAI), Honolulu, HI, pages 5909-5916, Jan 2019. PDF (Acceptance rate: 16.2%) [Oral]
Hao Zheng, Yizhe Zhang, Lin Yang, Chaoli Wang, and Danny Z. Chen. Biomedical Image Segmentation via Representative Annotation. AAAI Conference on Artificial Intelligence (AAAI), Honolulu, HI, pages 5901-5908, Jan 2019. PDF (Acceptance rate: 16.2%) [Oral]
Daniel Yue Zhang, Bo Ni, Qiyu Zhi, Thomas Plummer, Qi Li, Hao Zheng, Qingkai Zeng, Yang Zhang, and Dong Wang Through The Eyes of A Poet: Classical Poetry Recommendation with Visual Input on Social Media. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) , Vancouver, Canada, Aug 2019. (Acceptance rate: 14%)

2018

Zhuo Zhao, Lin Yang, Hao Zheng, Ian H Guldner, Siyuan Zhang, and Danny Z Chen Deep Learning Based Instance Segmentation in 3D Biomedical Images Using Weak Annotation. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Granada, Spain, pages 352-360, Sep 2018. PDF (Early acceptance rate: 16.2%)
Lin Yang, Yizhe Zhang, Zhuo Zhao, Hao Zheng, Peixian Liang, Michael TC Ying, Anil T Ahuja, and Danny Z Chen BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation. Arxiv

2017

Daniel Yue Zhang, Dong Wang, Hao Zheng, Xin Mu, Qi Li, and Yang Zhang Large-scale point-of-interest category prediction using natural language processing models. IEEE International Conference on Big Data (Big Data) , Boston, USA, Dec 2017. (Acceptance rate: 20%)