Haozhe Jia

According to our database, Haozhe Jia authored at least 41 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Learning to Think in Physics: Breaking Shortcut Learning in Scientific Diffusion via Representation Alignment.

Haozhe Jia, Pengyu Yin, Wenshuo Chen, Shaofeng Liang, Lei Wang, Bowen Tian, Xiucheng Wang, Nanqian Jia, Yutao Yue

CoRR, May, 2026

Before the Body Moves: Learning Anticipatory Joint Intent for Language-Conditioned Humanoid Control.

Haozhe Jia, Honglei Jin, Yuan Zhang, Youcheng Fan, Shaofeng Liang, Lei Wang, Shuxu Jin, Kuimou Yu, Zinuo Zhang, Jianfei Song, Wenshuo Chen, Yutao Yue

CoRR, May, 2026

Oracle Noise: Faster Semantic Spherical Alignment for Interpretable Latent Optimization.

Haosen Li, Wenshuo Chen, Lei Wang, Shaofeng Liang, Haozhe Jia, Yutao Yue

CoRR, April, 2026

Topo4D++: Realistic Physically Based 4D Head Capture With Topology-Preserving Gaussian Splatting and Expression Priors.

Yuhao Cheng, Xuanchen Li, Xingyu Ren, Jianyu Wang, Haozhe Jia, Di Xu, Wenhan Zhu, Bingbing Ni, Yichao Yan

IEEE Trans. Pattern Anal. Mach. Intell., March, 2026

ECHO: Edge-Cloud Humanoid Orchestration for Language-to-Motion Control.

Haozhe Jia, Jianfei Song, Yuan Zhang, Honglei Jin, Youcheng Fan, Wenshuo Chen, Wei Zhang, Yutao Yue

CoRR, March, 2026

Guided Path Sampling: Steering Diffusion Models Back on Track with Principled Path Guidance.

Haosen Li, Wenshuo Chen, Shaofeng Liang, Lei Wang, Haozhe Jia, Yutao Yue

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

Towards Better Evaluation Metrics for Text-to-Motion Generation.

Wenshuo Chen, Haozhe Jia, Kuimou Yu, Songning Lai, Lei Wang, Yutao Yue

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

2025

Guided Path Sampling: Steering Diffusion Models Back on Track with Principled Path Guidance.

Haosen Li, Wenshuo Chen, Shaofeng Liang, Lei Wang, Haozhe Jia, Yutao Yue

CoRR, December, 2025

Super-Resolution Enhancement of Medical Images Based on Diffusion Model: An Optimization Scheme for Low-Resolution Gastric Images.

Haozhe Jia

CoRR, December, 2025

POLARIS: Projection-Orthogonal Least Squares for Robust and Adaptive Inversion in Diffusion Models.

Wenshuo Chen, Haosen Li, Shaofeng Liang, Lei Wang, Haozhe Jia, Kaishen Yuan, Jieming Wu, Bowen Tian, Yutao Yue

CoRR, December, 2025

RadioFlow: Efficient Radio Map Construction Framework with Flow Matching.

Haozhe Jia, Wenshuo Chen, Xiucheng Wang, Nan Cheng, Hongbo Zhang, Kuimou Yu, Songning Lai, Nanjian Jia, Bowen Tian, Hongru Xiao, Yutao Yue

CoRR, October, 2025

LUMA: Low-Dimension Unified Motion Alignment with Dual-Path Anchoring for Text-to-Motion Diffusion Model.

Haozhe Jia, Wenshuo Chen, Yuqi Lin, Yang Yang, Lei Wang, Mang Ning, Bowen Tian, Songning Lai, Nanqian Jia, Yifan Chen, Yutao Yue

CoRR, September, 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, Yutao Yue

CoRR, June, 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, January, 2025

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, January, 2025

Physics-Informed Representation Alignment for Sparse Radio-Map Reconstruction.

Haozhe Jia, Wenshuo Chen, Zhihui Huang, Lei Wang, Hongru Xiao, Nanqian Jia, Keming Wu, Songning Lai, Bowen Tian, Yutao Yue

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

ANT: Adaptive Neural Temporal-Aware Text-to-Motion Model.

Wenshuo Chen, Kuimou Yu, Haozhe Jia, Kaishen Yuan, Zexu Huang, Bowen Tian, Songning Lai, Hongru Xiao, Erhang Zhang, Lei Wang, Yutao Yue

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space.

Mang Ning, Mingxiao Li, Jianlin Su, Haozhe Jia, Lanmiao Liu, Martin Benes, Wenshuo Chen, Albert Ali Salah, Itir Önal Ertugrul

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space.

Mang Ning, Mingxiao Li, Jianlin Su, Haozhe Jia, Lanmiao Liu, Martin Benes, Albert Ali Salah, Itir Önal Ertugrul

CoRR, 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

DisControlFace: Adding Disentangled Control to Diffusion Autoencoder for One-shot Explicit Facial Image Editing.

Haozhe Jia, Yan Li, Hengfei Cui, Di Xu, Yuwang Wang, Tao Yu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

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

Proceedings of the Computer Vision - ECCV 2024, 2024

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, Heng Huang, Liang Zhan, Yong Xia

Comput. Biol. Medicine, March, 2023

DisControlFace: Disentangled Control for Personalized Facial Image Editing.

Haozhe Jia, Yan Li, Hengfei Cui, Di Xu, Changpeng Yang, Yuwang Wang, Tao Yu

CoRR, 2023

Semi-supervised learning with CNN for low-light images enhancement.

Yanzhi Fan, Haozhe Jia, Xin Wei, Qiguo Cao, Yingfeng Wang, Sen Xiang

Proceedings of the 6th International Conference on Big Data Technologies, 2023

2022

Learning multi-scale synergic discriminative features for prostate image segmentation.

Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia

Pattern Recognit., 2022

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

CoRR, 2021

Boundary-aware Graph Reasoning for Semantic Segmentation.

Haoteng Tang, Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia, Liang Zhan

CoRR, 2021

HNF-Netv2 for Brain Tumor Segmentation Using Multi-modal MR Imaging.

Haozhe Jia, Chao Bai, Weidong Cai, Heng Huang, Yong Xia

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images.

Haozhe Jia, Yong Xia, Yang Song, Donghao Zhang, Heng Huang, Yanning Zhang, Weidong Cai

IEEE Trans. Medical Imaging, 2020

Thorax-Net: An Attention Regularized Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography.

Hongyu Wang, Haozhe Jia, Le Lu, Yong Xia

IEEE J. Biomed. Health Informatics, 2020

H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task.

Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia

CoRR, 2020

Learning High-Resolution and Efficient Non-local Features for Brain Glioma Segmentation in MR Images.

Haozhe Jia, Yong Xia, Weidong Cai, Heng Huang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

H²NF-Net for Brain Tumor Segmentation Using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task.

Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019

HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images.

Haozhe Jia, Yang Song, Heng Huang, Weidong Cai, Yong Xia

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Atlas registration and ensemble deep convolutional neural network-based prostate segmentation using magnetic resonance imaging.

Haozhe Jia, Yong Xia, Yang Song, Weidong Cai, Michael J. Fulham, David Dagan Feng

Neurocomputing, 2018

3D Global Convolutional Adversarial Network\\ for Prostate MR Volume Segmentation.

Haozhe Jia, Yang Song, Donghao Zhang, Heng Huang, Dagan Feng, Michael J. Fulham, Yong Xia, Weidong Cai

CoRR, 2018

Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis.

Donghao Zhang, Yang Song, Dongnan Liu, Haozhe Jia, Siqi Liu, Yong Xia, Heng Huang, Weidong Cai

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Densely Connected Large Kernel Convolutional Network for Semantic Membrane Segmentation in Microscopy Images.

Dongnan Liu, Donghao Zhang, Siqi Liu, Yang Song, Haozhe Jia, Dagan Feng, Yong Xia, Weidong Cai

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

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

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018

2017

Prostate segmentation in MR images using ensemble deep convolutional neural networks.

Haozhe Jia, Yong Xia, Tom Weidong Cai, Michael J. Fulham, David Dagan Feng

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017