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ORCIDHao Zheng 0006
Person information
- affiliation: University of Louisiana at Lafayette, LA, USA
- affiliation (former): University of Pennsylvania, Philadelphia, PA, USA
- affiliation (former): University of Notre Dame, IN, USA
Other persons with the same name
- Hao Zheng — disambiguation page
- Hao Zheng 0001
![[0000-0002-8627-0591]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-8627-0591")
(aka: Hank Jayne) — University of South Florida, Tampa, FL, USA (and 1 more) - Hao Zheng 0002 — Georgia Institute of Technology, Atlanta, GA, USA
- Hao Zheng 0003 — Google (and 1 more)
- Hao Zheng 0004 — Xi'an Jiaotong University, School of Electronics and Information Engineering, China
- Hao Zheng 0005 — University of Central Florida, Department of Electrical and Computer Engineering, Orlando, FL, USA (and 1 more)
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2020 – today
- 2024
[i14]Xiaoyang Chen, Hao Zheng, Yifang Xie, Yuncong Ma, Tengfei Li:
A Classifier-Free Incremental Learning Framework for Scalable Medical Image Segmentation. CoRR abs/2405.16328 (2024)- 2023
- [j7]Hongxiao Wang, Hao Zheng, Danny Z. Chen:
TANGO: A GO-Term Embedding Based Method for Protein Semantic Similarity Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 694-706 (2023) - [c23]Bojian Hou, Hongming Li, Zhicheng Jiao, Zhen Zhou, Hao Zheng, Yong Fan:
Deep Clustering Survival Machines with Interpretable Expert Distributions. ISBI 2023: 1-4 - [c22]Yejia Zhang, Pengfei Gu, Nishchal Sapkota, Hao Zheng, Peixian Liang, Danny Z. Chen:
A Point in the Right Direction: Vector Prediction for Spatially-Aware Self-Supervised Volumetric Representation Learning. ISBI 2023: 1-5 - [c21]Hao Zheng, Hongming Li, Yong Fan:
SurfNN: Joint Reconstruction of Multiple Cortical Surfaces from Magnetic Resonance Images. ISBI 2023: 1-4 - [c20]Hao Zheng, Hongming Li, Yong Fan:
Coupled Reconstruction of Cortical Surfaces by Diffeomorphic Mesh Deformation. NeurIPS 2023 - [i13]Bojian Hou, Hongming Li, Zhicheng Jiao, Zhen Zhou, Hao Zheng, Yong Fan:
Deep Clustering Survival Machines with Interpretable Expert Distributions. CoRR abs/2301.11826 (2023) - [i12]Hao Zheng, Hongming Li, Yong Fan:
SurfNN: Joint Reconstruction of Multiple Cortical Surfaces from Magnetic Resonance Images. CoRR abs/2303.02922 (2023) - [i11]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. CoRR abs/2311.10696 (2023) - 2022
- [j6]Yaopeng Peng, Hao Zheng, Lichun Zhang, Milan Sonka, Danny Z. Chen:
CMC-Net: 3D calf muscle compartment segmentation with sparse annotation. Medical Image Anal. 79: 102460 (2022) - [j5]Yaopeng Peng, Hao Zheng, Peixian Liang, Lichun Zhang, Fahim A. Zaman, Xiaodong Wu, Milan Sonka, Danny Z. Chen:
KCB-Net: A 3D knee cartilage and bone segmentation network via sparse annotation. Medical Image Anal. 82: 102574 (2022) - [j4]Jun Han, Hao Zheng, Danny Z. Chen, Chaoli Wang:
STNet: An End-to-End Generative Framework for Synthesizing Spatiotemporal Super-Resolution Volumes. IEEE Trans. Vis. Comput. Graph. 28(1): 270-280 (2022) - [c19]Yejia Zhang, Nishchal Sapkota, Pengfei Gu, Yaopeng Peng, Hao Zheng, Danny Z. Chen:
Keep Your Friends Close & Enemies Farther: Debiasing Contrastive Learning with Spatial Priors in 3D Radiology Images. BIBM 2022: 1824-1829 - [c18]Yizhe Zhang, Suraj Mishra, Peixian Liang, Hao Zheng, Danny Z. Chen:
Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models. MICCAI (5) 2022: 173-182 - [i10]Yizhe Zhang, Suraj Mishra, Peixian Liang, Hao Zheng, Danny Z. Chen:
Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models. CoRR abs/2207.00156 (2022) - [i9]Yejia Zhang, Pengfei Gu, Nishchal Sapkota, Hao Zheng, Peixian Liang, Danny Z. Chen:
A Point in the Right Direction: Vector Prediction for Spatially-aware Self-supervised Volumetric Representation Learning. CoRR abs/2211.08533 (2022) - [i8]Yejia Zhang, Nishchal Sapkota, Pengfei Gu, Yaopeng Peng, Hao Zheng, Danny Z. Chen:
Keep Your Friends Close & Enemies Farther: Debiasing Contrastive Learning with Spatial Priors in 3D Radiology Images. CoRR abs/2211.08643 (2022) - 2021
- [j3]Jun Han, Hao Zheng, Yunhao Xing, Danny Z. Chen, Chaoli Wang:
V2V: A Deep Learning Approach to Variable-to-Variable Selection and Translation for Multivariate Time-Varying Data. IEEE Trans. Vis. Comput. Graph. 27(2): 1290-1300 (2021) - [c17]Pengfei Gu, Hao Zheng, Yizhe Zhang, Chaoli Wang, Danny Z. Chen:
kCBAC-Net: Deeply Supervised Complete Bipartite Networks with Asymmetric Convolutions for Medical Image Segmentation. MICCAI (1) 2021: 337-347 - [c16]Hao Zheng, Jun Han, Hongxiao Wang, Lin Yang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen:
Hierarchical Self-supervised Learning for Medical Image Segmentation Based on Multi-domain Data Aggregation. MICCAI (1) 2021: 622-632 - [i7]Hao Zheng, Jun Han, Hongxiao Wang, Lin Yang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen:
Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation. CoRR abs/2107.04886 (2021) - 2020
- [j2]Tianxiao Hu, Hao Zheng, Chen Liang, Sirou Zhu, Natalie Imirzian, Yizhe Zhang, Chaoli Wang, David P. Hughes, Danny Z. Chen:
AntVis: A web-based visual analytics tool for exploring ant movement data. Vis. Informatics 4(1): 58-70 (2020) - [c15]Hao Zheng, Yizhe Zhang, Lin Yang, Chaoli Wang, Danny Z. Chen:
An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training. AAAI 2020: 6925-6932 - [c14]Li Guo, Shaojie Ye, Jun Han, Hao Zheng, Han Gao, Danny Z. Chen, Jian-Xun Wang, Chaoli Wang:
SSR-VFD: Spatial Super-Resolution for Vector Field Data Analysis and Visualization. PacificVis 2020: 71-80 - [c13]Hongxiao Wang, Hao Zheng, Jianxu Chen, Lin Yang, Yizhe Zhang, Danny Z. Chen:
Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation. BIBM 2020: 815-820 - [c12]Zhuo Zhao, Hongxiao Wang, Yizhe Zhang, Hao Zheng, Siyuan Zhang, Danny Ziyi Chen:
A Coarse-to-Fine Data Generation Method for 2D and 3D Cell Nucleus Segmentation. CBMS 2020: 41-46 - [c11]Peixian Liang, Jianxu Chen, Yizhe Zhang, Hongxiao Wang, Hao Zheng, Pengfei Gu, Danny Ziyi Chen:
InTracker: An Integrated Detector-Tracker Framework for Cell Detection and Tracking. CBMS 2020: 332-337 - [c10]Hao Zheng, Susan M. Motch Perrine, M. Kathleen Pitirri, Kazuhiko Kawasaki, Chaoli Wang, Joan T. Richtsmeier, Danny Z. Chen:
Cartilage Segmentation in High-Resolution 3D Micro-CT Images via Uncertainty-Guided Self-training with Very Sparse Annotation. MICCAI (1) 2020: 802-812 - [i6]Hongxiao Wang, Hao Zheng, Jianxu Chen, Lin Yang, Yizhe Zhang, Danny Z. Chen:
Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation. CoRR abs/2012.09373 (2020)
2010 – 2019
- 2019
- [j1]Jun Han, Jun Tao, Hao Zheng, Hanqi Guo, Danny Z. Chen, Chaoli Wang:
Flow Field Reduction Via Reconstructing Vector Data From 3-D Streamlines Using Deep Learning. IEEE Computer Graphics and Applications 39(4): 54-67 (2019) - [c9]Hao Zheng, Lin Yang, Jianxu Chen, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen:
Biomedical Image Segmentation via Representative Annotation. AAAI 2019: 5901-5908 - [c8]Hao Zheng, Yizhe Zhang, Lin Yang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen:
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation. AAAI 2019: 5909-5916 - [c7]Daniel Yue Zhang, Bo Ni, Qiyu Zhi, Thomas Plummer, Qi Li, Hao Zheng, Qingkai Zeng, Yang Zhang, Dong Wang:
Through the eyes of a poet: classical poetry recommendation with visual input on social media. ASONAM 2019: 333-340 - [c6]Yang Zhang, Ruohan Zong, Jun Han, Hao Zheng, Qiuwen Lou, Daniel Yue Zhang, Dong Wang:
TransLand: An Adversarial Transfer Learning Approach for Migratable Urban Land Usage Classification using Remote Sensing. IEEE BigData 2019: 1567-1576 - [c5]Peixian Liang, Jianxu Chen, Hao Zheng, Lin Yang, Yizhe Zhang, Danny Z. Chen:
Cascade Decoder: A Universal Decoding Method For Biomedical Image Segmentation. ISBI 2019: 339-342 - [c4]Hao Zheng, Lin Yang, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen:
HFA-Net: 3D Cardiovascular Image Segmentation with Asymmetrical Pooling and Content-Aware Fusion. MICCAI (2) 2019: 759-767 - [c3]Yizhe Zhang, Lin Yang, Hao Zheng, Peixian Liang, Colleen Mangold, Raquel G. Loreto, David P. Hughes, Danny Z. Chen:
SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation. MIDL 2019: 572-587 - [i5]Peixian Liang, Jianxu Chen, Hao Zheng, Lin Yang, Yizhe Zhang, Danny Z. Chen:
Cascade Decoder: A Universal Decoding Method for Biomedical Image Segmentation. CoRR abs/1901.04949 (2019) - [i4]Yizhe Zhang, Lin Yang, Hao Zheng, Peixian Liang, Colleen Mangold, Raquel G. Loreto, David P. Hughes, Danny Z. Chen:
SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation. CoRR abs/1903.00035 (2019) - 2018
- [c2]Zhuo Zhao, Lin Yang, Hao Zheng, Ian H. Guldner, Siyuan Zhang, Danny Z. Chen:
Deep Learning Based Instance Segmentation in 3D Biomedical Images Using Weak Annotation. MICCAI (4) 2018: 352-360 - [i3]Lin Yang, Yizhe Zhang, Zhuo Zhao, Hao Zheng, Peixian Liang, Michael T. C. Ying, Anil T. Ahuja, Danny Z. Chen:
BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation. CoRR abs/1806.00593 (2018) - [i2]Zhuo Zhao, Lin Yang, Hao Zheng, Ian H. Guldner, Siyuan Zhang, Danny Z. Chen:
Deep Learning Based Instance Segmentation in 3D Biomedical Images Using Weak Annotation. CoRR abs/1806.11137 (2018) - [i1]Hao Zheng, Yizhe Zhang, Lin Yang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen:
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation. CoRR abs/1812.03945 (2018) - 2017
- [c1]Daniel Yue Zhang, Dong Wang, Hao Zheng, Xin Mu, Qi Li, Yang Zhang:
Large-scale point-of-interest category prediction using natural language processing models. IEEE BigData 2017: 1027-1032
Coauthor Index
aka: Danny Z. Chen
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last updated on 2024-09-02 00:08 CEST by the dblp team
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