Hao Zheng

53 papers A* 5B 4Journal 27Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Cell Instance Segmentation: The Devil Is in the Boundaries.
IEEE Trans. Medical Imaging
Peixian Liang, Yifan Ding, Yizhe Zhang, Jianxu Chen, Hao Zheng, Hongxiao Wang, Yejia Zhang, Guangyu Meng, Tim Weninger, Michael T. Niemier, X. Sharon Hu, Danny Z. Chen
2026 J jnl
dFCExpert: Learning Dynamic Functional Connectivity Patterns With Modularity and State Experts.
IEEE Trans. Medical Imaging
Tingting Chen, Hongming Li, Hao Zheng, Yong Fan
2025 J jnl
A Study of Data Augmentation for Learning-Driven Scientific Visualization.
IEEE Trans. Vis. Comput. Graph.
Jun Han, Hao Zheng, Jun Tao
2025 J jnl
Cell Instance Segmentation: The Devil Is in the Boundaries.
CoRR
Peixian Liang, Yifan Ding, Yizhe Zhang, Jianxu Chen, Hao Zheng, Hongxiao Wang, Yejia Zhang, Guangyu Meng, Tim Weninger, Michael T. Niemier, X. Sharon Hu, Danny Z. Chen
2025 — conf
SegCSR: Weakly-Supervised Cortical Surfaces Reconstruction from Brain Ribbon Segmentations.
ISBI
Hao Zheng, Xiaoyang Chen, Hongming Li, Tingting Chen, Peixian Liang, Yong Fan
2025 J jnl
SurfNet: Reconstruction of Cortical Surfaces via Coupled Diffeomorphic Deformations.
IEEE Trans. Medical Imaging
Hao Zheng, Hongming Li, Yong Fan
2024 J jnl
A Classifier-Free Incremental Learning Framework for Scalable Medical Image Segmentation.
CoRR
Xiaoyang Chen, Hao Zheng, Yifang Xie, Yuncong Ma, Tengfei Li
2024 — conf
Enhancing Whole Slide Image Classification with Discriminative and Contrastive Learning.
MICCAI (4)
Peixian Liang, Hao Zheng, Hongming Li, Yuxin Gong, Spyridon Bakas, Yong Fan
2024 J jnl
KD-INR: Time-Varying Volumetric Data Compression via Knowledge Distillation-Based Implicit Neural Representation.
IEEE Trans. Vis. Comput. Graph.
Jun Han, Hao Zheng, Chongke Bi
2024 A* conf
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation.
CVPR
Xiaoyang Chen, Hao Zheng, Yuemeng Li, Yuncong Ma, Liang Ma, Hongming Li, Yong Fan
2023 — conf
A Point in the Right Direction: Vector Prediction for Spatially-Aware Self-Supervised Volumetric Representation Learning.
ISBI
Yejia Zhang, Pengfei Gu, Nishchal Sapkota, Hao Zheng, Peixian Liang, Danny Z. Chen
2023 A* conf
Coupled Reconstruction of Cortical Surfaces by Diffeomorphic Mesh Deformation.
NeurIPS
Hao Zheng, Hongming Li, Yong Fan
2023 — conf
Deep Clustering Survival Machines with Interpretable Expert Distributions.
ISBI
Bojian Hou, Hongming Li, Zhicheng Jiao, Zhen Zhou, Hao Zheng, Yong Fan
2023 J jnl
Deep Clustering Survival Machines with Interpretable Expert Distributions.
CoRR
Bojian Hou, Hongming Li, Zhicheng Jiao, Zhen Zhou, Hao Zheng, Yong Fan
2023 — conf
SurfNN: Joint Reconstruction of Multiple Cortical Surfaces from Magnetic Resonance Images.
ISBI
Hao Zheng, Hongming Li, Yong Fan
2023 J jnl
SurfNN: Joint Reconstruction of Multiple Cortical Surfaces from Magnetic Resonance Images.
CoRR
Hao Zheng, Hongming Li, Yong Fan
2023 J jnl
TANGO: A GO-Term Embedding Based Method for Protein Semantic Similarity Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform.
Hongxiao Wang, Hao Zheng, Danny Z. Chen
2023 J jnl
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation.
CoRR
Xiaoyang Chen, Hao Zheng, Yuemeng Li, Yuncong Ma, Liang Ma, Hongming Li, Yong Fan
2022 J jnl
A Point in the Right Direction: Vector Prediction for Spatially-aware Self-supervised Volumetric Representation Learning.
CoRR
Yejia Zhang, Pengfei Gu, Nishchal Sapkota, Hao Zheng, Peixian Liang, Danny Z. Chen
2022 J jnl
CMC-Net: 3D calf muscle compartment segmentation with sparse annotation.
Medical Image Anal.
Yaopeng Peng, Hao Zheng, Lichun Zhang, Milan Sonka, Danny Z. Chen
2022 J jnl
KCB-Net: A 3D knee cartilage and bone segmentation network via sparse annotation.
Medical Image Anal.
Yaopeng Peng, Hao Zheng, Peixian Liang, Lichun Zhang, Fahim A. Zaman, Xiaodong Wu, Milan Sonka, Danny Z. Chen
2022 — conf
Keep Your Friends Close & Enemies Farther: Debiasing Contrastive Learning with Spatial Priors in 3D Radiology Images.
BIBM
Yejia Zhang, Nishchal Sapkota, Pengfei Gu, Yaopeng Peng, Hao Zheng, Danny Z. Chen
2022 J jnl
Keep Your Friends Close & Enemies Farther: Debiasing Contrastive Learning with Spatial Priors in 3D Radiology Images.
CoRR
Yejia Zhang, Nishchal Sapkota, Pengfei Gu, Yaopeng Peng, Hao Zheng, Danny Z. Chen
2022 J jnl
STNet: An End-to-End Generative Framework for Synthesizing Spatiotemporal Super-Resolution Volumes.
IEEE Trans. Vis. Comput. Graph.
Jun Han, Hao Zheng, Danny Z. Chen, Chaoli Wang
2022 — conf
Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models.
MICCAI (5)
Yizhe Zhang, Suraj Mishra, Peixian Liang, Hao Zheng, Danny Z. Chen
2022 J jnl
Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models.
CoRR
Yizhe Zhang, Suraj Mishra, Peixian Liang, Hao Zheng, Danny Z. Chen
2021 J jnl
Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation.
CoRR
Hao Zheng, Jun Han, Hongxiao Wang, Lin Yang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen
2021 — conf
Hierarchical Self-supervised Learning for Medical Image Segmentation Based on Multi-domain Data Aggregation.
MICCAI (1)
Hao Zheng, Jun Han, Hongxiao Wang, Lin Yang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen
2021 J jnl
V2V: A Deep Learning Approach to Variable-to-Variable Selection and Translation for Multivariate Time-Varying Data.
IEEE Trans. Vis. Comput. Graph.
Jun Han, Hao Zheng, Yunhao Xing, Danny Z. Chen, Chaoli Wang
2021 — conf
kCBAC-Net: Deeply Supervised Complete Bipartite Networks with Asymmetric Convolutions for Medical Image Segmentation.
MICCAI (1)
Pengfei Gu, Hao Zheng, Yizhe Zhang, Chaoli Wang, Danny Z. Chen
2020 B conf
A Coarse-to-Fine Data Generation Method for 2D and 3D Cell Nucleus Segmentation.
CBMS
Zhuo Zhao, Hongxiao Wang, Yizhe Zhang, Hao Zheng, Siyuan Zhang, Danny Ziyi Chen
2020 A* conf
An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training.
AAAI
Hao Zheng, Yizhe Zhang, Lin Yang, Chaoli Wang, Danny Z. Chen
2020 J jnl
AntVis: A web-based visual analytics tool for exploring ant movement data.
Vis. Informatics
Tianxiao Hu, Hao Zheng, Chen Liang, Sirou Zhu, Natalie Imirzian, Yizhe Zhang, Chaoli Wang, David P. Hughes, Danny Z. Chen
2020 — conf
Cartilage Segmentation in High-Resolution 3D Micro-CT Images via Uncertainty-Guided Self-training with Very Sparse Annotation.
MICCAI (1)
Hao Zheng, Susan M. Motch Perrine, M. Kathleen Pitirri, Kazuhiko Kawasaki, Chaoli Wang, Joan T. Richtsmeier, Danny Z. Chen
2020 B conf
InTracker: An Integrated Detector-Tracker Framework for Cell Detection and Tracking.
CBMS
Peixian Liang, Jianxu Chen, Yizhe Zhang, Hongxiao Wang, Hao Zheng, Pengfei Gu, Danny Ziyi Chen
2020 B conf
SSR-VFD: Spatial Super-Resolution for Vector Field Data Analysis and Visualization.
PacificVis
Li Guo, Shaojie Ye, Jun Han, Hao Zheng, Han Gao, Danny Z. Chen, Jian-Xun Wang, Chaoli Wang
2020 — conf
Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation.
BIBM
Hongxiao Wang, Hao Zheng, Jianxu Chen, Lin Yang, Yizhe Zhang, Danny Z. Chen
2020 J jnl
Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation.
CoRR
Hongxiao Wang, Hao Zheng, Jianxu Chen, Lin Yang, Yizhe Zhang, Danny Z. Chen
2019 A* conf
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation.
AAAI
Hao Zheng, Yizhe Zhang, Lin Yang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen
2019 A* conf
Biomedical Image Segmentation via Representative Annotation.
AAAI
Hao Zheng, Lin Yang, Jianxu Chen, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen
2019 — conf
Cascade Decoder: A Universal Decoding Method For Biomedical Image Segmentation.
ISBI
Peixian Liang, Jianxu Chen, Hao Zheng, Lin Yang, Yizhe Zhang, Danny Z. Chen
2019 J jnl
Cascade Decoder: A Universal Decoding Method for Biomedical Image Segmentation.
CoRR
Peixian Liang, Jianxu Chen, Hao Zheng, Lin Yang, Yizhe Zhang, Danny Z. Chen
2019 J jnl
Flow Field Reduction Via Reconstructing Vector Data From 3-D Streamlines Using Deep Learning.
IEEE Computer Graphics and Applications
Jun Han, Jun Tao, Hao Zheng, Hanqi Guo, Danny Z. Chen, Chaoli Wang
2019 — conf
HFA-Net: 3D Cardiovascular Image Segmentation with Asymmetrical Pooling and Content-Aware Fusion.
MICCAI (2)
Hao Zheng, Lin Yang, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen
2019 — conf
SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation.
MIDL
Yizhe Zhang, Lin Yang, Hao Zheng, Peixian Liang, Colleen Mangold, Raquel G. Loreto, David P. Hughes, Danny Z. Chen
2019 J jnl
SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation.
CoRR
Yizhe Zhang, Lin Yang, Hao Zheng, Peixian Liang, Colleen Mangold, Raquel G. Loreto, David P. Hughes, Danny Z. Chen
2019 B conf
Through the eyes of a poet: classical poetry recommendation with visual input on social media.
ASONAM
Daniel Yue Zhang, Bo Ni, Qiyu Zhi, Thomas Plummer, Qi Li, Hao Zheng, Qingkai Zeng, Yang Zhang, Dong Wang
2019 — conf
TransLand: An Adversarial Transfer Learning Approach for Migratable Urban Land Usage Classification using Remote Sensing.
IEEE BigData
Yang Zhang, Ruohan Zong, Jun Han, Hao Zheng, Qiuwen Lou, Daniel Yue Zhang, Dong Wang
2018 J jnl
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation.
CoRR
Hao Zheng, Yizhe Zhang, Lin Yang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen
2018 J jnl
BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation.
CoRR
Lin Yang, Yizhe Zhang, Zhuo Zhao, Hao Zheng, Peixian Liang, Michael T. C. Ying, Anil T. Ahuja, Danny Z. Chen
2018 — conf
Deep Learning Based Instance Segmentation in 3D Biomedical Images Using Weak Annotation.
MICCAI (4)
Zhuo Zhao, Lin Yang, Hao Zheng, Ian H. Guldner, Siyuan Zhang, Danny Z. Chen
2018 J jnl
Deep Learning Based Instance Segmentation in 3D Biomedical Images Using Weak Annotation.
CoRR
Zhuo Zhao, Lin Yang, Hao Zheng, Ian H. Guldner, Siyuan Zhang, Danny Z. Chen
2017 — conf
Large-scale point-of-interest category prediction using natural language processing models.
IEEE BigData
Daniel Yue Zhang, Dong Wang, Hao Zheng, Xin Mu, Qi Li, Yang Zhang