Deep Covariance Alignment for Domain Adaptive Remote Sensing Image Segmentation. - Linshan Wu; Ming Lu; Leyuan Fang (IEEE Trans. Geosci. Remote. Sens., 2022)

Deep Bilateral Filtering Network for Point-Supervised Semantic Segmentation in Remote Sensing Images. - Linshan Wu; Leyuan Fang; Jun Yue; Bob Zhang 001; Pedram Ghamisi; Min He (IEEE Trans. Image Process., 2022)

Sparsely Annotated Semantic Segmentation with Adaptive Gaussian Mixtures. - Linshan Wu; Zhun Zhong; Leyuan Fang; Xingxin He; Qiang Liu; Jiayi Ma 001; Hao Chen (CVPR, 2023)

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

A Multi-Level Label-Aware Semi-Supervised Framework for Remote Sensing Scene Classification. - Qiang Liu; Min He; Yang Kuang; Linshan Wu; Jun Yue; Leyuan Fang (IEEE Trans. Geosci. Remote. Sens., 2023)

Querying Labeled for Unlabeled: Cross-Image Semantic Consistency Guided Semi-Supervised Semantic Segmentation. - Linshan Wu; Leyuan Fang; Xingxin He; Min He; Jiayi Ma 001; Zhun Zhong (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

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

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)

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)

Exploring Intercity Mobility in Urban Agglomeration: Evidence from Private Car Trajectory Data. - Zhu Xiao; Linshan Wu; Hongbo Jiang 001; Zheng Qin 001; Chengxi Gao; You Li; Hongyang Chen; Jiangchuan Liu (IEEE Trans. Comput. Soc. Syst., 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)

Exploring Spatio-Temporal Carbon Emission Across Passenger Car Trajectory Data. - Zhu Xiao; Bo Liu; Linshan Wu; Hongbo Jiang 001; Beihao Xia; Tao Li 056; Cassandra C. Wang (IEEE Trans. Intell. Transp. Syst., 2025)

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

Modeling the Label Distributions for Weakly-Supervised Semantic Segmentation. - Linshan Wu; Zhun Zhong; Jiayi Ma 001; Yunchao Wei; Hao Chen; Leyuan Fang; Shutao Li (IEEE Trans. Pattern Anal. Mach. Intell., 2025)