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2020 – today
- 2025
[j5]Xiaobin Rui, Jiaxin Zhuang, Chengcheng Sun, Zhixiao Wang:
Higher-order link prediction via light hypergraph neural network and hybrid aggregator. Int. J. Mach. Learn. Cybern. 16(4): 2671-2685 (2025)- [j4]Yang Yang
, Jiaxin Zhuang, Guoying Sun, Ruixuan Wang, Jingyong Su:
Boundary-Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging 44(7): 2973-2988 (2025) - [j3]Jiaxin Zhuang, Linshan Wu, Qiong Wang, Peng Fei, Varut Vardhanabhuti, Lin Luo, Hao Chen:
MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis. IEEE Trans. Medical Imaging 44(9): 3727-3740 (2025) - [j2]Jiaxin Zhuang, Luyang Luo, Qiong Wang, Mingxiang Wu, Lin Luo, Hao Chen:
Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoders. IEEE Trans. Medical Imaging 44(11): 4226-4238 (2025) - [c13]Jiaxin Zhuang, Linshan Wu, Xuefeng Ni, Xi Wang, Liansheng Wang, Hao Chen:
Bio2Vol: Adapting 2D Biomedical Foundation Models for Volumetric Medical Image Segmentation. MICCAI (6) 2025: 24-34 - [c12]Xiaoyu Zheng, Jing Wen, Jiaxin Zhuang, Yao Du, Jing Cong, Limei Guo, Lin Luo, Chao He, Hao Chen:
Diffusion-Based Virtual Staining from Polarimetric Mueller Matrix Imaging. MICCAI (1) 2025: 163-173 - [i19]Linshan Wu, Jiaxin Zhuang, Yanning Zhou, Sunan He, Jiabo Ma, Luyang Luo, Xi Wang, Xuefeng Ni, Xiaoling Zhong, Mingxiang Wu, Yinghua Zhao, Xiaohui Duan, Varut Vardhanabhuti, Pranav Rajpurkar, Hao Chen:
FreeTumor: Large-Scale Generative Tumor Synthesis in Computed Tomography Images for Improving Tumor Recognition. CoRR abs/2502.18519 (2025) - [i18]Xiaoyu Zheng, Jing Wen, Jiaxin Zhuang, Yao Du, Jing Cong, Limei Guo, Chao He, Lin Luo, Hao Chen:
Diffusion-based Virtual Staining from Polarimetric Mueller Matrix Imaging. CoRR abs/2503.01352 (2025) - [i17]Yao Du, Jiaxin Zhuang, Xiaoyu Zheng, Jing Cong, Limei Guo, Chao He, Lin Luo, Xiaomeng Li:
Beyond H&E: Unlocking Pathological Insights with Polarization via Self-supervised Learning. CoRR abs/2503.05933 (2025) - [i16]Linshan Wu, Yuxiang Nie, Sunan He, Jiaxin Zhuang, Hao Chen:
UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation. CoRR abs/2504.21336 (2025) - 2024
- [c11]Linshan Wu, Jiaxin Zhuang, Hao Chen:
VoCo: A Simple-Yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis. CVPR 2024: 22873-22882 - [c10]Jiaxin Zhuang, Yahui Chai, Xiaobin Rui, Zhixiao Wang:
Graph Link Prediction via Decay Coefficient based Proportional Aggregation and Hybrid Concatenation. IJCNN 2024: 1-8 - [c9]Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jia-Xin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou:
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? NeurIPS 2024 - [c8]Jiawei Zhang, Jiaxin Zhuang, Cheng Jin, Gen Li, Yuantao Gu:
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems. NeurIPS 2024 - [i15]Jiaxin Zhuang, Linshan Wu, Qiong Wang, Varut Vardhanabhuti, Lin Luo, Hao Chen:
MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis. CoRR abs/2404.15580 (2024) - [i14]Linshan Wu, Jiaxin Zhuang, Xuefeng Ni, Hao Chen:
FreeTumor: Advance Tumor Segmentation via Large-Scale Tumor Synthesis. CoRR abs/2406.01264 (2024) - [i13]Jiawei Zhang, Jiaxin Zhuang, Cheng Jin, Gen Li, Yuantao Gu:
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems. CoRR abs/2406.06959 (2024) - [i12]Linshan Wu, Jiaxin Zhuang, Hao Chen:
Large-Scale 3D Medical Image Pre-training with Geometric Context Priors. CoRR abs/2410.09890 (2024) - [i11]Jiaxin Zhuang, Leon Yan, Zhenwei Zhang, Ruiqi Wang, Jiawei Zhang, Yuantao Gu:
See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers. CoRR abs/2411.02465 (2024) - [i10]Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jiaxin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou:
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? CoRR abs/2411.03670 (2024) - [i9]Xuefeng Ni, Linshan Wu, Jiaxin Zhuang, Qiong Wang, Mingxiang Wu, Varut Vardhanabhuti, Lihai Zhang, Hanyu Gao, Hao Chen:
MG-3D: Multi-Grained Knowledge-Enhanced 3D Medical Vision-Language Pre-training. CoRR abs/2412.05876 (2024) - 2023
- [j1]Jiaxin Zhuang, Jiabin Cai, Jianguo Zhang, Weishi Zheng, Ruixuan Wang:
Class attention to regions of lesion for imbalanced medical image recognition. Neurocomputing 555: 126577 (2023) - [c7]Jiaxin Zhuang, Guanrong Huang, Yi Zhong, Yizhen Wu, Qiang Hua, Bian Gong, Xiaolin Mou:
Adaptive Stanley Control Method Based on Dynamic Window Approach. IECON 2023: 1-6 - [i8]Jia-Xin Zhuang, Luyang Luo, Hao Chen:
Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder. CoRR abs/2306.08913 (2023) - [i7]Jia-Xin Zhuang, Jiabin Cai, Jianguo Zhang, Wei-Shi Zheng, Ruixuan Wang:
Class Attention to Regions of Lesion for Imbalanced Medical Image Recognition. CoRR abs/2307.10036 (2023) - [i6]Jia-Xin Zhuang, Luyang Luo, Zhixuan Chen, Linshan Wu:
Iterative Semi-Supervised Learning for Abdominal Organs and Tumor Segmentation. CoRR abs/2310.01159 (2023) - 2022
- [c6]Keli Xie, Dongchen He, Jiaxin Zhuang, Siyuan Lu, Zhongfeng Wang:
View Dialogue in 2D: A Two-stream Model in Time-speaker Perspective for Dialogue Summarization and beyond. COLING 2022: 6075-6088 - [c5]Yuting Gao, Jia-Xin Zhuang, Shaohui Lin, Hao Cheng, Xing Sun, Ke Li, Chunhua Shen:
DisCo: Remedying Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning. ECCV (26) 2022: 237-253 - [c4]Jia-Xin Zhuang, Xiansong Huang, Yang Yang, Jiancong Chen, Yue Yu, Wei Gao, Ge Li, Jie Chen, Tong Zhang:
OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark Under Heterogeneous AI Computing Platforms. PRCV (1) 2022: 356-367 - [i5]Jia-Xin Zhuang, Xiansong Huang, Yang Yang, Jiancong Chen, Yue Yu, Wei Gao, Ge Li, Jie Chen, Tong Zhang:
OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark under Heterogeneous AI Computing Platforms. CoRR abs/2208.05616 (2022) - 2021
- [i4]Yuting Gao, Jia-Xin Zhuang, Ke Li, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, Xing Sun:
DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning. CoRR abs/2104.09124 (2021) - [i3]Yuqiao Xian, Jia-Xin Zhuang, Fufu Yu:
Solution for Large-scale Long-tailed Recognition with Noisy Labels. CoRR abs/2106.10683 (2021) - [i2]Jia-Xin Zhuang, Wanying Tao, Jianfei Xing, Wei Shi, Ruixuan Wang, Wei-Shi Zheng:
Understanding of Kernels in CNN Models by Suppressing Irrelevant Visual Features in Images. CoRR abs/2108.11054 (2021) - [i1]Fanxu Meng, Hao Cheng, Jiaxin Zhuang, Ke Li, Xing Sun:
RMNet: Equivalently Removing Residual Connection from Networks. CoRR abs/2111.00687 (2021) - 2020
- [c3]Weipeng Li, Jiaxin Zhuang, Ruixuan Wang, Jianguo Zhang, Wei-Shi Zheng:
Fusing Metadata and Dermoscopy Images for Skin Disease Diagnosis. ISBI 2020: 1996-2000 - [c2]Jiaxin Zhuang, Jiabin Cai, Ruixuan Wang, Jianguo Zhang, Wei-Shi Zheng:
Deep kNN for Medical Image Classification. MICCAI (1) 2020: 127-136
2010 – 2019
- 2019
- [c1]Jiaxin Zhuang, Jiabin Cai, Ruixuan Wang, Jianguo Zhang, Weishi Zheng:
CARE: Class Attention to Regions of Lesion for Classification on Imbalanced Data. MIDL 2019: 588-597
Coauthor Index
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