Jiaxin Zhuang

According to our database, Jiaxin Zhuang authored at least 30 papers between 2019 and 2025.

Collaborative distances:

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

2025

Boundary-Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation.

Yang Yang, Jiaxin Zhuang, Guoying Sun, Ruixuan Wang, Jingyong Su

IEEE Trans. Medical Imaging, July, 2025

Higher-order link prediction via light hypergraph neural network and hybrid aggregator.

Xiaobin Rui, Jiaxin Zhuang, Chengcheng Sun, Zhixiao Wang

Int. J. Mach. Learn. Cybern., April, 2025

UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation.

Linshan Wu, Yuxiang Nie, Sunan He, Jiaxin Zhuang, Hao Chen

CoRR, April, 2025

Beyond H&E: Unlocking Pathological Insights with Polarization via Self-supervised Learning.

Yao Du, Jiaxin Zhuang, Xiaoyu Zheng, Jing Cong, Limei Guo, Chao He, Lin Luo, Xiaomeng Li

CoRR, March, 2025

Diffusion-based Virtual Staining from Polarimetric Mueller Matrix Imaging.

Xiaoyu Zheng, Jing Wen, Jiaxin Zhuang, Yao Du, Jing Cong, Limei Guo, Chao He, Lin Luo, Hao Chen

CoRR, March, 2025

FreeTumor: Large-Scale Generative Tumor Synthesis in Computed Tomography Images for Improving Tumor Recognition.

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

CoRR, February, 2025

2024

MG-3D: Multi-Grained Knowledge-Enhanced 3D Medical Vision-Language Pre-training.

Xuefeng Ni, Linshan Wu, Jiaxin Zhuang, Qiong Wang, Mingxiang Wu, Varut Vardhanabhuti, Lihai Zhang, Hanyu Gao, Hao Chen

CoRR, 2024

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

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

CoRR, 2024

See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers.

Jiaxin Zhuang, Leon Yan, Zhenwei Zhang, Ruiqi Wang, Jiawei Zhang, Yuantao Gu

CoRR, 2024

Large-Scale 3D Medical Image Pre-training with Geometric Context Priors.

Linshan Wu, Jiaxin Zhuang, Hao Chen

CoRR, 2024

FreeTumor: Advance Tumor Segmentation via Large-Scale Tumor Synthesis.

Linshan Wu, Jiaxin Zhuang, Xuefeng Ni, Hao Chen

CoRR, 2024

MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis.

Jiaxin Zhuang, Linshan Wu, Qiong Wang, Varut Vardhanabhuti, Lin Luo, Hao Chen

CoRR, 2024

Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems.

Jiawei Zhang, Jiaxin Zhuang, Cheng Jin, Gen Li, Yuantao Gu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Graph Link Prediction via Decay Coefficient based Proportional Aggregation and Hybrid Concatenation.

Jiaxin Zhuang, Yahui Chai, Xiaobin Rui, Zhixiao Wang

Proceedings of the International Joint Conference on Neural Networks, 2024

VoCo: A Simple-Yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis.

Linshan Wu, Jiaxin Zhuang, Hao Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Class attention to regions of lesion for imbalanced medical image recognition.

Jiaxin Zhuang, Jiabin Cai, Jianguo Zhang, Weishi Zheng, Ruixuan Wang

Neurocomputing, October, 2023

Iterative Semi-Supervised Learning for Abdominal Organs and Tumor Segmentation.

Jia-Xin Zhuang, Luyang Luo, Zhixuan Chen, Linshan Wu

CoRR, 2023

Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder.

Jia-Xin Zhuang, Luyang Luo, Hao Chen

CoRR, 2023

Adaptive Stanley Control Method Based on Dynamic Window Approach.

Jiaxin Zhuang, Guanrong Huang, Yi Zhong, Yizhen Wu, Qiang Hua, Bian Gong, Xiaolin Mou

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

2022

OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark Under Heterogeneous AI Computing Platforms.

Jia-Xin Zhuang, Xiansong Huang, Yang Yang, Jiancong Chen, Yue Yu, Wei Gao, Ge Li, Jie Chen, Tong Zhang

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

DisCo: Remedying Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning.

Yuting Gao, Jia-Xin Zhuang, Shaohui Lin, Hao Cheng, Xing Sun, Ke Li, Chunhua Shen

Proceedings of the Computer Vision - ECCV 2022, 2022

View Dialogue in 2D: A Two-stream Model in Time-speaker Perspective for Dialogue Summarization and beyond.

Keli Xie, Dongchen He, Jiaxin Zhuang, Siyuan Lu, Zhongfeng Wang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

RMNet: Equivalently Removing Residual Connection from Networks.

Fanxu Meng, Hao Cheng, Jiaxin Zhuang, Ke Li, Xing Sun

CoRR, 2021

Understanding of Kernels in CNN Models by Suppressing Irrelevant Visual Features in Images.

Jia-Xin Zhuang, Wanying Tao, Jianfei Xing, Wei Shi, Ruixuan Wang, Wei-Shi Zheng

CoRR, 2021

Solution for Large-scale Long-tailed Recognition with Noisy Labels.

Yuqiao Xian, Jia-Xin Zhuang, Fufu Yu

CoRR, 2021

DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning.

Yuting Gao, Jia-Xin Zhuang, Ke Li, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, Xing Sun

CoRR, 2021

2020

Deep kNN for Medical Image Classification.

Jiaxin Zhuang, Jiabin Cai, Ruixuan Wang, Jianguo Zhang, Wei-Shi Zheng

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

Fusing Metadata and Dermoscopy Images for Skin Disease Diagnosis.

Weipeng Li, Jiaxin Zhuang, Ruixuan Wang, Jianguo Zhang, Wei-Shi Zheng

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

CARE: Class Attention to Regions of Lesion for Classification on Imbalanced Data.

Jiaxin Zhuang, Jiabin Cai, Ruixuan Wang, Jianguo Zhang, Weishi Zheng

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019