TransBTS: Multimodal Brain Tumor Segmentation Using Transformer. - Wenxuan Wang 002; Chen Chen 001; Meng Ding 001; Hong Yu; Sen Zha; Jiangyun Li (MICCAI (1), 2021)

Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation. - Wenxuan Wang 002; Chen Chen 001; Jing Wang 222; Sen Zha; Yan Zhang; Jiangyun Li (ECCV (21), 2022)

Hyper-ES2T: Efficient Spatial-Spectral Transformer for the classification of hyperspectral remote sensing images. - Wenxuan Wang 002; Leiming Liu; Tianxiang Zhang; Jiachen Shen; Jing Wang 222; Jiangyun Li (Int. J. Appl. Earth Obs. Geoinformation, 2022)

TransBTSV2: Wider Instead of Deeper Transformer for Medical Image Segmentation. - Jiangyun Li; Wenxuan Wang 002; Chen Chen 001; Tianxiang Zhang; Sen Zha; Hong Yu; Jing Wang 222 (CoRR, 2022)

Positive-Negative Equal Contrastive Loss for Semantic Segmentation. - Jing Wang 222; Lingfei Xuan; Wenxuan Wang 002; Tianxiang Zhang; Jiangyun Li (CoRR, 2022)

Hyper-LGNet: Coupling Local and Global Features for Hyperspectral Image Classification. - Tianxiang Zhang; Wenxuan Wang 002; Jing Wang 222; Yuanxiu Cai; Zhifang Yang; Jiangyun Li (Remote. Sens., 2022)

FreMAE: Fourier Transform Meets Masked Autoencoders for Medical Image Segmentation. - Wenxuan Wang 002; Jing Wang 222; Chen Chen 001; Jianbo Jiao; Lichao Sun 001; Yuanxiu Cai; Shanshan Song; Jiangyun Li (CoRR, 2023)

Med-Tuning: Exploring Parameter-Efficient Transfer Learning for Medical Volumetric Segmentation. - Wenxuan Wang 002; Jiachen Shen; Chen Chen 001; Jianbo Jiao; Yan Zhang; Shanshan Song; Jiangyun Li (CoRR, 2023)

CM-MaskSD: Cross-Modality Masked Self-Distillation for Referring Image Segmentation. - Wenxuan Wang 002; Jing Liu 001; Xingjian He; Yisi Zhang; Chen Chen 001; Jiachen Shen; Yan Zhang; Jiangyun Li (CoRR, 2023)

MMNet: Multi-Mask Network for Referring Image Segmentation. - Yichen Yan; Xingjian He; Wenxuan Wang 002; Jing Liu 001 (CoRR, 2023)

EAVL: Explicitly Align Vision and Language for Referring Image Segmentation. - Yichen Yan; Xingjian He; Wenxuan Wang 002; Sihan Chen; Jing Liu 001 (CoRR, 2023)

Positive-negative equal contrastive loss for semantic segmentation. - Jing Wang 222; Jiangyun Li; Wei Li; Lingfei Xuan; Tianxiang Zhang; Wenxuan Wang 002 (Neurocomputing, 2023)

Beyond Literal Descriptions: Understanding and Locating Open-World Objects Aligned with Human Intentions. - Wenxuan Wang 002; Yisi Zhang; Xingjian He; Yichen Yan; Zijia Zhao; Xinlong Wang; Jing Liu 001 (ACL (Findings), 2024)

Unveiling Parts Beyond Objects: Towards Finer-Granularity Referring Expression Segmentation. - Wenxuan Wang 002; Tongtian Yue; Yisi Zhang; Longteng Guo; Xingjian He; Xinlong Wang; Jing Liu 001 (CVPR, 2024)

Med-Tuning: A New Parameter-Efficient Tuning Framework for Medical Volumetric Segmentation. - Jiachen Shen; Wenxuan Wang 002; Chen Chen 001; Jianbo Jiao; Jing Liu 001; Yan Zhang; Shanshan Song; Jiangyun Li (MIDL, 2024)

Collaborative Training of Tiny-Large Vision Language Models. - Shichen Lu; Longteng Guo; Wenxuan Wang 002; Zijia Zhao; Tongtian Yue; Jing Liu 001; Si Liu 001 (ACM Multimedia, 2024)

Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric Segmentation. - Haoran Shen; Yifu Zhang; Wenxuan Wang 002; Chen Chen 001; Jing Liu 001; Shanshan Song; Jiangyun Li (WACV, 2024)

FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation. - Wenxuan Wang 002; Jing Wang 222; Chen Chen 001; Jianbo Jiao; Yuanxiu Cai; Shanshan Song; Jiangyun Li (WACV, 2024)

CM-MaskSD: Cross-Modality Masked Self-Distillation for Referring Image Segmentation. - Wenxuan Wang 002; Xingjian He; Yisi Zhang; Longteng Guo; Jiachen Shen; Jiangyun Li; Jing Liu 001 (IEEE Trans. Multim., 2024)

Diffusion Feedback Helps CLIP See Better. - Wenxuan Wang 002; Quan Sun; Fan Zhang; Yepeng Tang; Jing Liu 001; Xinlong Wang (ICLR, 2025)

State space models meet transformers for hyperspectral image classification. - Xuefei Shi; Yisi Zhang; Kecheng Liu; Zhaokun Wen; Wenxuan Wang 002; Tianxiang Zhang; Jiangyun Li (Signal Process., 2025)

EVEv2: Improved Baselines for Encoder-Free Vision-Language Models. - Haiwen Diao; Xiaotong Li; Yufeng Cui; Yueze Wang; Haoge Deng; Ting Pan; Wenxuan Wang 002; Huchuan Lu; Xinlong Wang (CoRR, 2025)

Image Difference Grounding with Natural Language. - Wenxuan Wang 002; Zijia Zhao; Yisi Zhang; Yepeng Tang; Erdong Hu; Xinlong Wang; Jing Liu 001 (CoRR, 2025)

Towards Unified Referring Expression Segmentation Across Omni-Level Visual Target Granularities. - Jing Liu 001; Wenxuan Wang 002; Yisi Zhang; Yepeng Tang; Xingjian He; Longteng Guo; Tongtian Yue; Xinlong Wang (CoRR, 2025)

End-to-End Vision Tokenizer Tuning. - Wenxuan Wang 002; Fan Zhang; Yufeng Cui; Haiwen Diao; Zhuoyan Luo; Huchuan Lu; Jing Liu 001; Xinlong Wang (CoRR, 2025)