CARE: Class Attention to Regions of Lesion for Classification on Imbalanced Data. - Jiaxin Zhuang; Jiabin Cai; Ruixuan Wang; Jianguo Zhang 001; Weishi Zheng 001 (MIDL, 2019)

Fusing Metadata and Dermoscopy Images for Skin Disease Diagnosis. - Weipeng Li; Jiaxin Zhuang; Ruixuan Wang; Jianguo Zhang 001; Wei-Shi Zheng 001 (ISBI, 2020)

Deep kNN for Medical Image Classification. - Jiaxin Zhuang; Jiabin Cai; Ruixuan Wang; Jianguo Zhang 001; Wei-Shi Zheng 001 (MICCAI (1), 2020)

DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning. - Yuting Gao; Jia-Xin Zhuang; Ke Li 015; Hao Cheng 012; Xiaowei Guo; Feiyue Huang; Rongrong Ji; Xing Sun 001 (CoRR, 2021)

Solution for Large-scale Long-tailed Recognition with Noisy Labels. - Yuqiao Xian; Jia-Xin Zhuang; Fufu Yu (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 001 (CoRR, 2021)

RMNet: Equivalently Removing Residual Connection from Networks. - Fanxu Meng; Hao Cheng 012; Jiaxin Zhuang; Ke Li 015; Xing Sun 001 (CoRR, 2021)

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 002; Zhongfeng Wang 001 (COLING, 2022)

DisCo: Remedying Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning. - Yuting Gao; Jia-Xin Zhuang; Shaohui Lin; Hao Cheng 012; Xing Sun 001; Ke Li 015; Chunhua Shen (ECCV (26), 2022)

OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark Under Heterogeneous AI Computing Platforms. - Jia-Xin Zhuang; Xiansong Huang; Yang Yang 002; Jiancong Chen; Yue Yu 001; Wei Gao 003; Ge Li 002; Jie Chen 001; Tong Zhang 017 (PRCV (1), 2022)

Adaptive Stanley Control Method Based on Dynamic Window Approach. - Jiaxin Zhuang; Guanrong Huang; Yi Zhong; Yizhen Wu; Qiang Hua; Bian Gong; Xiaolin Mou (IECON, 2023)

Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder. - Jia-Xin Zhuang; Luyang Luo; Hao Chen 011 (CoRR, 2023)

Iterative Semi-Supervised Learning for Abdominal Organs and Tumor Segmentation. - Jia-Xin Zhuang; Luyang Luo; Zhixuan Chen; Linshan Wu (CoRR, 2023)

Class attention to regions of lesion for imbalanced medical image recognition. - Jiaxin Zhuang; Jiabin Cai; Jianguo Zhang 001; Weishi Zheng 001; Ruixuan Wang (Neurocomputing, 2023)

VoCo: A Simple-Yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis. - Linshan Wu; Jiaxin Zhuang; Hao Chen 011 (CVPR, 2024)

Graph Link Prediction via Decay Coefficient based Proportional Aggregation and Hybrid Concatenation. - Jiaxin Zhuang; Yahui Chai; Xiaobin Rui; Zhixiao Wang (IJCNN, 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 002; Junjun He; et al. (NeurIPS, 2024)

Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems. - Jiawei Zhang; Jiaxin Zhuang; Cheng Jin; Gen Li; Yuantao Gu (NeurIPS, 2024)

MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis. - Jiaxin Zhuang; Linshan Wu; Qiong Wang 001; Varut Vardhanabhuti; Lin Luo; Hao Chen 011 (CoRR, 2024)

FreeTumor: Advance Tumor Segmentation via Large-Scale Tumor Synthesis. - Linshan Wu; Jiaxin Zhuang; Xuefeng Ni; Hao Chen 011 (CoRR, 2024)

Large-Scale 3D Medical Image Pre-training with Geometric Context Priors. - Linshan Wu; Jiaxin Zhuang; Hao Chen 011 (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)

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 002; Junjun He; et al. (CoRR, 2024)

MG-3D: Multi-Grained Knowledge-Enhanced 3D Medical Vision-Language Pre-training. - Xuefeng Ni; Linshan Wu; Jiaxin Zhuang; Qiong Wang 001; Mingxiang Wu; Varut Vardhanabhuti; Lihai Zhang; Hanyu Gao; Hao Chen 011 (CoRR, 2024)

FreeTumor: Large-Scale Generative Tumor Synthesis in Computed Tomography Images for Improving Tumor Recognition. - Linshan Wu; Jiaxin Zhuang; Yanning Zhou 003; Sunan He; Jiabo Ma; Luyang Luo; Xi Wang 013; Xuefeng Ni; Xiaoling Zhong; Mingxiang Wu; Yinghua Zhao; Xiaohui Duan; et al. (CoRR, 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 011 (CoRR, 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, 2025)

UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation. - Linshan Wu; Yuxiang Nie; Sunan He; Jiaxin Zhuang; Hao Chen 011 (CoRR, 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., 2025)

Boundary-Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation. - Yang Yang 002; Jiaxin Zhuang; Guoying Sun; Ruixuan Wang; Jingyong Su (IEEE Trans. Medical Imaging, 2025)