Prostate segmentation in MR images using ensemble deep convolutional neural networks. - Haozhe Jia; Yong Xia 001; Tom Weidong Cai; Michael J. Fulham; David Dagan Feng (ISBI, 2017)

Early Identification of Alzheimer's Disease Using an Ensemble of 3D Convolutional Neural Networks and Magnetic Resonance Imaging. - Yuanyuan Chen; Haozhe Jia; Zhaowei Huang; Yong Xia 001 (BICS, 2018)

Densely Connected Large Kernel Convolutional Network for Semantic Membrane Segmentation in Microscopy Images. - Dongnan Liu; Donghao Zhang; Siqi Liu 001; Yang Song 001; Haozhe Jia; Dagan Feng 001; Yong Xia 001; Weidong Cai 001 (ICIP, 2018)

Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis. - Donghao Zhang; Yang Song 001; Dongnan Liu; Haozhe Jia; Siqi Liu 001; Yong Xia 001; Heng Huang; Weidong Cai 001 (MICCAI (2), 2018)

3D Global Convolutional Adversarial Network for Prostate MR Volume Segmentation. - Haozhe Jia; Yang Song 001; Donghao Zhang; Heng Huang; Dagan Feng 001; Michael J. Fulham; Yong Xia 001; Weidong Cai 001 (CoRR, 2018)

Atlas registration and ensemble deep convolutional neural network-based prostate segmentation using magnetic resonance imaging. - Haozhe Jia; Yong Xia 001; Yang Song 001; Weidong Cai 001; Michael J. Fulham; David Dagan Feng (Neurocomputing, 2018)

HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images. - Haozhe Jia; Yang Song 001; Heng Huang; Weidong Cai 001; Yong Xia 001 (MICCAI (2), 2019)

H2NF-Net for Brain Tumor Segmentation Using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task. - Haozhe Jia; Weidong Cai 001; Heng Huang; Yong Xia 001 (BrainLes@MICCAI (2), 2020)

Learning High-Resolution and Efficient Non-local Features for Brain Glioma Segmentation in MR Images. - Haozhe Jia; Yong Xia 001; Weidong Cai 001; Heng Huang (MICCAI (4), 2020)

H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task. - Haozhe Jia; Weidong Cai 001; Heng Huang; Yong Xia 001 (CoRR, 2020)

Thorax-Net: An Attention Regularized Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography. - Hongyu Wang 011; Haozhe Jia; Le Lu 001; Yong Xia 001 (IEEE J. Biomed. Health Informatics, 2020)

3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images. - Haozhe Jia; Yong Xia 001; Yang Song 001; Donghao Zhang; Heng Huang; Yanning Zhang 001; Weidong Cai 001 (IEEE Trans. Medical Imaging, 2020)

HNF-Netv2 for Brain Tumor Segmentation Using Multi-modal MR Imaging. - Haozhe Jia; Chao Bai; Weidong Cai 001; Heng Huang; Yong Xia 001 (BrainLes@MICCAI (2), 2021)

Boundary-aware Graph Reasoning for Semantic Segmentation. - Haoteng Tang; Haozhe Jia; Weidong Cai 001; Heng Huang; Yong Xia 001; Liang Zhan (CoRR, 2021)

PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images. - Haozhe Jia; Haoteng Tang; Guixiang Ma; Tom Weidong Cai; Heng Huang; Liang Zhan; Yong Xia 001 (CoRR, 2021)

Learning multi-scale synergic discriminative features for prostate image segmentation. - Haozhe Jia; Weidong Cai 001; Heng Huang; Yong Xia 001 (Pattern Recognit., 2022)

Semi-supervised learning with CNN for low-light images enhancement. - Yanzhi Fan; Haozhe Jia; Xin Wei; Qiguo Cao; Yingfeng Wang; Sen Xiang (ICBDT, 2023)

DisControlFace: Disentangled Control for Personalized Facial Image Editing. - Haozhe Jia; Yan Li 129; Hengfei Cui; Di Xu; Changpeng Yang; Yuwang Wang; Tao Yu 007 (CoRR, 2023)

A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images. - Haozhe Jia; Haoteng Tang; Guixiang Ma; Weidong Cai 001; Heng Huang; Liang Zhan; Yong Xia 001 (Comput. Biol. Medicine, 2023)

Topo4D: Topology-Preserving Gaussian Splatting for High-fidelity 4D Head Capture. - Xuanchen Li; Yuhao Cheng; Xingyu Ren; Haozhe Jia; Di Xu; Wenhan Zhu; Yichao Yan (ECCV (34), 2024)

DisControlFace: Adding Disentangled Control to Diffusion Autoencoder for One-shot Explicit Facial Image Editing. - Haozhe Jia; Yan Li 129; Hengfei Cui; Di Xu; Yuwang Wang; Tao Yu 007 (ACM Multimedia, 2024)

Block-wise LoRA: Revisiting Fine-grained LoRA for Effective Personalization and Stylization in Text-to-Image Generation. - Likun Li; Haoqi Zeng; Changpeng Yang; Haozhe Jia; Di Xu (CoRR, 2024)

DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space. - Mang Ning; Mingxiao Li 002; Jianlin Su; Haozhe Jia; Lanmiao Liu; Martin Benes 001; Albert Ali Salah; Itir Önal Ertugrul (CoRR, 2024)

Free-T2M: Frequency Enhanced Text-to-Motion Diffusion Model With Consistency Loss. - Wenshuo Chen; Haozhe Jia; Songning Lai; Keming Wu; Hongru Xiao; Lijie Hu; Yutao Yue (CoRR, 2025)

RMDM: Radio Map Diffusion Model with Physics Informed. - Haozhe Jia; Wenshuo Chen; Zhihui Huang; Hongru Xiao; Nanqian Jia; Keming Wu; Songning Lai; Yutao Yue (CoRR, 2025)

ANT: Adaptive Neural Temporal-Aware Text-to-Motion Model. - Wenshuo Chen; Kuimou Yu; Haozhe Jia; Kaishen Yuan; Bowen Tian; Songning Lai; Hongru Xiao; Erhang Zhang; Lei Wang 029; Yutao Yue (CoRR, 2025)