Large-scale point-of-interest category prediction using natural language processing models. - Daniel Yue Zhang; Dong Wang 002; Hao Zheng 006; Xin Mu; Qi Li 016; Yang Zhang 031 (IEEE BigData, 2017)

Deep Learning Based Instance Segmentation in 3D Biomedical Images Using Weak Annotation. - Zhuo Zhao; Lin Yang 003; Hao Zheng 006; Ian H. Guldner; Siyuan Zhang; Danny Z. Chen (MICCAI (4), 2018)

BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation. - Lin Yang 003; Yizhe Zhang 001; Zhuo Zhao; Hao Zheng 006; Peixian Liang; Michael T. C. Ying; Anil T. Ahuja; Danny Z. Chen (CoRR, 2018)

Biomedical Image Segmentation via Representative Annotation. - Hao Zheng 006; Lin Yang 003; Jianxu Chen 001; Jun Han 010; Yizhe Zhang 001; Peixian Liang; Zhuo Zhao; Chaoli Wang 001; Danny Z. Chen (AAAI, 2019)

A New Ensemble Learning Framework for 3D Biomedical Image Segmentation. - Hao Zheng 006; Yizhe Zhang 001; Lin Yang 003; Peixian Liang; Zhuo Zhao; Chaoli Wang 001; Danny Z. Chen (AAAI, 2019)

Through the eyes of a poet: classical poetry recommendation with visual input on social media. - Daniel Yue Zhang; Bo Ni; Qiyu Zhi; Thomas Plummer; Qi Li 016; Hao Zheng 006; Qingkai Zeng 001; Yang Zhang 031; Dong Wang 002 (ASONAM, 2019)

TransLand: An Adversarial Transfer Learning Approach for Migratable Urban Land Usage Classification using Remote Sensing. - Yang Zhang 031; Ruohan Zong; Jun Han 010; Hao Zheng 006; Qiuwen Lou; Daniel Yue Zhang; Dong Wang 002 (IEEE BigData, 2019)

Cascade Decoder: A Universal Decoding Method For Biomedical Image Segmentation. - Peixian Liang; Jianxu Chen 001; Hao Zheng 006; Lin Yang 003; Yizhe Zhang 001; Danny Z. Chen (ISBI, 2019)

HFA-Net: 3D Cardiovascular Image Segmentation with Asymmetrical Pooling and Content-Aware Fusion. - Hao Zheng 006; Lin Yang 003; Jun Han 010; Yizhe Zhang 001; Peixian Liang; Zhuo Zhao; Chaoli Wang 001; Danny Z. Chen (MICCAI (2), 2019)

SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation. - Yizhe Zhang 001; Lin Yang 003; Hao Zheng 006; Peixian Liang; Colleen Mangold; Raquel G. Loreto; David P. Hughes; Danny Z. Chen (MIDL, 2019)

Flow Field Reduction Via Reconstructing Vector Data From 3-D Streamlines Using Deep Learning. - Jun Han 010; Jun Tao 002; Hao Zheng 006; Hanqi Guo 001; Danny Z. Chen; Chaoli Wang 001 (IEEE Computer Graphics and Applications, 2019)

An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training. - Hao Zheng 006; Yizhe Zhang 001; Lin Yang 003; Chaoli Wang 001; Danny Z. Chen (AAAI, 2020)

SSR-VFD: Spatial Super-Resolution for Vector Field Data Analysis and Visualization. - Li Guo; Shaojie Ye; Jun Han 010; Hao Zheng 006; Han Gao 005; Danny Z. Chen; Jian-Xun Wang 001; Chaoli Wang 001 (PacificVis, 2020)

Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation. - Hongxiao Wang; Hao Zheng 006; Jianxu Chen 001; Lin Yang 003; Yizhe Zhang 001; Danny Z. Chen (BIBM, 2020)

InTracker: An Integrated Detector-Tracker Framework for Cell Detection and Tracking. - Peixian Liang; Jianxu Chen 001; Yizhe Zhang 001; Hongxiao Wang; Hao Zheng 006; Pengfei Gu; Danny Ziyi Chen (CBMS, 2020)

A Coarse-to-Fine Data Generation Method for 2D and 3D Cell Nucleus Segmentation. - Zhuo Zhao; Hongxiao Wang; Yizhe Zhang 001; Hao Zheng 006; Siyuan Zhang; Danny Ziyi Chen (CBMS, 2020)

Cartilage Segmentation in High-Resolution 3D Micro-CT Images via Uncertainty-Guided Self-training with Very Sparse Annotation. - Hao Zheng 006; Susan M. Motch Perrine; M. Kathleen Pitirri; Kazuhiko Kawasaki; Chaoli Wang 001; Joan T. Richtsmeier; Danny Z. Chen (MICCAI (1), 2020)

AntVis: A web-based visual analytics tool for exploring ant movement data. - Tianxiao Hu; Hao Zheng 006; Chen Liang; Sirou Zhu; Natalie Imirzian; Yizhe Zhang 001; Chaoli Wang 001; David P. Hughes; Danny Z. Chen (Vis. Informatics, 2020)

kCBAC-Net: Deeply Supervised Complete Bipartite Networks with Asymmetric Convolutions for Medical Image Segmentation. - Pengfei Gu; Hao Zheng 006; Yizhe Zhang 001; Chaoli Wang 001; Danny Z. Chen (MICCAI (1), 2021)

Hierarchical Self-supervised Learning for Medical Image Segmentation Based on Multi-domain Data Aggregation. - Hao Zheng 006; Jun Han 010; Hongxiao Wang; Lin Yang 003; Zhuo Zhao; Chaoli Wang 001; Danny Z. Chen (MICCAI (1), 2021)

V2V: A Deep Learning Approach to Variable-to-Variable Selection and Translation for Multivariate Time-Varying Data. - Jun Han 010; Hao Zheng 006; Yunhao Xing; Danny Z. Chen; Chaoli Wang 001 (IEEE Trans. Vis. Comput. Graph., 2021)

Keep Your Friends Close & Enemies Farther: Debiasing Contrastive Learning with Spatial Priors in 3D Radiology Images. - Yejia Zhang; Nishchal Sapkota; Pengfei Gu; Yaopeng Peng; Hao Zheng 006; Danny Z. Chen (BIBM, 2022)

Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models. - Yizhe Zhang 001; Suraj Mishra; Peixian Liang; Hao Zheng 006; Danny Z. Chen (MICCAI (5), 2022)

KCB-Net: A 3D knee cartilage and bone segmentation network via sparse annotation. - Yaopeng Peng; Hao Zheng 006; Peixian Liang; Lichun Zhang; Fahim A. Zaman; Xiaodong Wu 001; Milan Sonka; Danny Z. Chen (Medical Image Anal., 2022)

CMC-Net: 3D calf muscle compartment segmentation with sparse annotation. - Yaopeng Peng; Hao Zheng 006; Lichun Zhang; Milan Sonka; Danny Z. Chen (Medical Image Anal., 2022)

STNet: An End-to-End Generative Framework for Synthesizing Spatiotemporal Super-Resolution Volumes. - Jun Han 010; Hao Zheng 006; Danny Z. Chen; Chaoli Wang 001 (IEEE Trans. Vis. Comput. Graph., 2022)

Deep Clustering Survival Machines with Interpretable Expert Distributions. - Bojian Hou; Hongming Li; Zhicheng Jiao; Zhen Zhou 004; Hao Zheng 006; Yong Fan 001 (ISBI, 2023)

A Point in the Right Direction: Vector Prediction for Spatially-Aware Self-Supervised Volumetric Representation Learning. - Yejia Zhang; Pengfei Gu; Nishchal Sapkota; Hao Zheng 006; Peixian Liang; Danny Z. Chen (ISBI, 2023)

SurfNN: Joint Reconstruction of Multiple Cortical Surfaces from Magnetic Resonance Images. - Hao Zheng 006; Hongming Li; Yong Fan 001 (ISBI, 2023)

Coupled Reconstruction of Cortical Surfaces by Diffeomorphic Mesh Deformation. - Hao Zheng 006; Hongming Li; Yong Fan 001 (NeurIPS, 2023)

TANGO: A GO-Term Embedding Based Method for Protein Semantic Similarity Prediction. - Hongxiao Wang; Hao Zheng 006; Danny Z. Chen (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation. - Xiaoyang Chen; Hao Zheng 006; Yuemeng Li; Yuncong Ma; Liang Ma; Hongming Li; Yong Fan 001 (CVPR, 2024)

Enhancing Whole Slide Image Classification with Discriminative and Contrastive Learning. - Peixian Liang; Hao Zheng 006; Hongming Li; Yuxin Gong; Spyridon Bakas; Yong Fan 001 (MICCAI (4), 2024)

A Classifier-Free Incremental Learning Framework for Scalable Medical Image Segmentation. - Xiaoyang Chen; Hao Zheng 006; Yifang Xie; Yuncong Ma; Tengfei Li 001 (CoRR, 2024)

KD-INR: Time-Varying Volumetric Data Compression via Knowledge Distillation-Based Implicit Neural Representation. - Jun Han 010; Hao Zheng 006; Chongke Bi (IEEE Trans. Vis. Comput. Graph., 2024)

SegCSR: Weakly-Supervised Cortical Surfaces Reconstruction from Brain Ribbon Segmentations. - Hao Zheng 006; Xiaoyang Chen; Hongming Li; Tingting Chen; Peixian Liang; Yong Fan 001 (ISBI, 2025)