Haozhe Jia - RankMe

38 papers A* 4B 1Journal 24Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ECHO: Edge-Cloud Humanoid Orchestration for Language-to-Motion Control. CoRR Haozhe Jia, Jianfei Song, Yuan Zhang, Honglei Jin, Youcheng Fan, Wenshuo Chen, Wei Zhang, Yutao Yue
2026	J	`jnl`	Topo4D++: Realistic Physically Based 4D Head Capture With Topology-Preserving Gaussian Splatting and Expression Priors. IEEE Trans. Pattern Anal. Mach. Intell. Yuhao Cheng, Xuanchen Li, Xingyu Ren, Jianyu Wang, Haozhe Jia, Di Xu, Wenhan Zhu, Bingbing Ni, Yichao Yan
2025	A*	`conf`	ANT: Adaptive Neural Temporal-Aware Text-to-Motion Model. ACM Multimedia Wenshuo Chen, Kuimou Yu, Haozhe Jia, Kaishen Yuan, Zexu Huang, Bowen Tian, Songning Lai, Hongru Xiao, Erhang Zhang, Lei Wang, Yutao Yue
2025	J	`jnl`	ANT: Adaptive Neural Temporal-Aware Text-to-Motion Model. CoRR Wenshuo Chen, Kuimou Yu, Haozhe Jia, Kaishen Yuan, Bowen Tian, Songning Lai, Hongru Xiao, Erhang Zhang, Lei Wang, Yutao Yue
2025	A*	`conf`	DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space. ICML Mang Ning, Mingxiao Li, Jianlin Su, Haozhe Jia, Lanmiao Liu, Martin Benes, Wenshuo Chen, Albert Ali Salah, Itir Önal Ertugrul
2025	J	`jnl`	Free-T2M: Frequency Enhanced Text-to-Motion Diffusion Model With Consistency Loss. CoRR Wenshuo Chen, Haozhe Jia, Songning Lai, Keming Wu, Hongru Xiao, Lijie Hu, Yutao Yue
2025	J	`jnl`	Guided Path Sampling: Steering Diffusion Models Back on Track with Principled Path Guidance. CoRR Haosen Li, Wenshuo Chen, Shaofeng Liang, Lei Wang, Haozhe Jia, Yutao Yue
2025	J	`jnl`	LUMA: Low-Dimension Unified Motion Alignment with Dual-Path Anchoring for Text-to-Motion Diffusion Model. CoRR Haozhe Jia, Wenshuo Chen, Yuqi Lin, Yang Yang, Lei Wang, Mang Ning, Bowen Tian, Songning Lai, Nanqian Jia, Yifan Chen, Yutao Yue
2025	J	`jnl`	POLARIS: Projection-Orthogonal Least Squares for Robust and Adaptive Inversion in Diffusion Models. CoRR Wenshuo Chen, Haosen Li, Shaofeng Liang, Lei Wang, Haozhe Jia, Kaishen Yuan, Jieming Wu, Bowen Tian, Yutao Yue
2025	A*	`conf`	Physics-Informed Representation Alignment for Sparse Radio-Map Reconstruction. ACM Multimedia Haozhe Jia, Wenshuo Chen, Zhihui Huang, Lei Wang, Hongru Xiao, Nanqian Jia, Keming Wu, Songning Lai, Bowen Tian, Yutao Yue
2025	J	`jnl`	RMDM: Radio Map Diffusion Model with Physics Informed. CoRR Haozhe Jia, Wenshuo Chen, Zhihui Huang, Hongru Xiao, Nanqian Jia, Keming Wu, Songning Lai, Yutao Yue
2025	J	`jnl`	RadioFlow: Efficient Radio Map Construction Framework with Flow Matching. CoRR Haozhe Jia, Wenshuo Chen, Xiucheng Wang, Nan Cheng, Hongbo Zhang, Kuimou Yu, Songning Lai, Nanjian Jia, Bowen Tian, Hongru Xiao, Yutao Yue
2025	J	`jnl`	Super-Resolution Enhancement of Medical Images Based on Diffusion Model: An Optimization Scheme for Low-Resolution Gastric Images. CoRR Haozhe Jia
2024	J	`jnl`	Block-wise LoRA: Revisiting Fine-grained LoRA for Effective Personalization and Stylization in Text-to-Image Generation. CoRR Likun Li, Haoqi Zeng, Changpeng Yang, Haozhe Jia, Di Xu
2024	J	`jnl`	DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space. CoRR Mang Ning, Mingxiao Li, Jianlin Su, Haozhe Jia, Lanmiao Liu, Martin Benes, Albert Ali Salah, Itir Önal Ertugrul
2024	A*	`conf`	DisControlFace: Adding Disentangled Control to Diffusion Autoencoder for One-shot Explicit Facial Image Editing. ACM Multimedia Haozhe Jia, Yan Li, Hengfei Cui, Di Xu, Yuwang Wang, Tao Yu
2024	J	`jnl`	Topo4D: Topology-Preserving Gaussian Splatting for High-Fidelity 4D Head Capture. CoRR Xuanchen Li, Yuhao Cheng, Xingyu Ren, Haozhe Jia, Di Xu, Wenhan Zhu, Yichao Yan
2024	—	`conf`	Topo4D: Topology-Preserving Gaussian Splatting for High-fidelity 4D Head Capture. ECCV (34) Xuanchen Li, Yuhao Cheng, Xingyu Ren, Haozhe Jia, Di Xu, Wenhan Zhu, Yichao Yan
2023	J	`jnl`	A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images. Comput. Biol. Medicine Haozhe Jia, Haoteng Tang, Guixiang Ma, Weidong Cai, Heng Huang, Liang Zhan, Yong Xia
2023	J	`jnl`	DisControlFace: Disentangled Control for Personalized Facial Image Editing. CoRR Haozhe Jia, Yan Li, Hengfei Cui, Di Xu, Changpeng Yang, Yuwang Wang, Tao Yu
2023	—	`conf`	Semi-supervised learning with CNN for low-light images enhancement. ICBDT Yanzhi Fan, Haozhe Jia, Xin Wei, Qiguo Cao, Yingfeng Wang, Sen Xiang
2022	J	`jnl`	HNF-Netv2 for Brain Tumor Segmentation using multi-modal MR Imaging. CoRR Haozhe Jia, Chao Bai, Tom Weidong Cai, Heng Huang, Yong Xia
2022	J	`jnl`	Learning multi-scale synergic discriminative features for prostate image segmentation. Pattern Recognit. Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia
2021	J	`jnl`	Boundary-aware Graph Reasoning for Semantic Segmentation. CoRR Haoteng Tang, Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia, Liang Zhan
2021	—	`conf`	HNF-Netv2 for Brain Tumor Segmentation Using Multi-modal MR Imaging. BrainLes@MICCAI (2) Haozhe Jia, Chao Bai, Weidong Cai, Heng Huang, Yong Xia
2021	J	`jnl`	PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images. CoRR Haozhe Jia, Haoteng Tang, Guixiang Ma, Tom Weidong Cai, Heng Huang, Liang Zhan, Yong Xia
2020	J	`jnl`	3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images. IEEE Trans. Medical Imaging Haozhe Jia, Yong Xia, Yang Song, Donghao Zhang, Heng Huang, Yanning Zhang, Weidong Cai
2020	—	`conf`	H BrainLes@MICCAI (2) Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia
2020	J	`jnl`	H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task. CoRR Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia
2020	—	`conf`	Learning High-Resolution and Efficient Non-local Features for Brain Glioma Segmentation in MR Images. MICCAI (4) Haozhe Jia, Yong Xia, Weidong Cai, Heng Huang
2020	J	`jnl`	Thorax-Net: An Attention Regularized Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography. IEEE J. Biomed. Health Informatics Hongyu Wang, Haozhe Jia, Le Lu, Yong Xia
2019	—	`conf`	HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images. MICCAI (2) Haozhe Jia, Yang Song, Heng Huang, Weidong Cai, Yong Xia
2018	J	`jnl`	3D Global Convolutional Adversarial Network\\ for Prostate MR Volume Segmentation. CoRR Haozhe Jia, Yang Song, Donghao Zhang, Heng Huang, Dagan Feng, Michael J. Fulham, Yong Xia, Weidong Cai
2018	J	`jnl`	Atlas registration and ensemble deep convolutional neural network-based prostate segmentation using magnetic resonance imaging. Neurocomputing Haozhe Jia, Yong Xia, Yang Song, Weidong Cai, Michael J. Fulham, David Dagan Feng
2018	B	`conf`	Densely Connected Large Kernel Convolutional Network for Semantic Membrane Segmentation in Microscopy Images. ICIP Dongnan Liu, Donghao Zhang, Siqi Liu, Yang Song, Haozhe Jia, Dagan Feng, Yong Xia, Weidong Cai
2018	—	`conf`	Early Identification of Alzheimer's Disease Using an Ensemble of 3D Convolutional Neural Networks and Magnetic Resonance Imaging. BICS Yuanyuan Chen, Haozhe Jia, Zhaowei Huang, Yong Xia
2018	—	`conf`	Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis. MICCAI (2) Donghao Zhang, Yang Song, Dongnan Liu, Haozhe Jia, Siqi Liu, Yong Xia, Heng Huang, Weidong Cai
2017	—	`conf`	Prostate segmentation in MR images using ensemble deep convolutional neural networks. ISBI Haozhe Jia, Yong Xia, Tom Weidong Cai, Michael J. Fulham, David Dagan Feng