Semantic Segmentation of High Resolution Remote Sensing Image Based on Batch-Attention Mechanism. - Yanzhou Su; Yongjian Wu; Min Wang; Feng Wang 015; Jian Cheng 003 (IGARSS, 2019)

A Discriminatively Learned CNN Embedding For Remote Sensing Image Scene Classification. - Wen Wang 012; Lijun Du; Yinxing Gao; Yanzhou Su; Feng Wang 015; Jian Cheng 003 (IGARSS, 2019)

The General Pair-based Weighting Loss for Deep Metric Learning. - Haijun Liu 001; Jian Cheng 003; Wen Wang 012; Yanzhou Su (CoRR, 2019)

A Discriminative Learned CNN Embedding for Remote Sensing Image Scene Classification. - Wen Wang 012; Lijun Du; Yinxing Gao; Yanzhou Su; Feng Wang 015; Jian Cheng 003 (CoRR, 2019)

Enhancing the discriminative feature learning for visible-thermal cross-modality person re-identification. - Haijun Liu 001; Jian Cheng 003; Wen Wang 012; Yanzhou Su; Haiwei Bai (Neurocomputing, 2020)

Semantic Segmentation for High-Resolution Remote Sensing Images by Light-Weight Network. - Changjian Deng; Leikun Liang; Yanzhou Su; Changtao He; Jian Cheng 003 (IGARSS, 2021)

IntraLoss: Further Margin via Gradient-Enhancing Term for Deep Face Recognition. - Chengzhi Jiang; Yanzhou Su; Wen Wang 012; Haiwei Bai; Haijun Liu 001; Jian Cheng 003 (CoRR, 2021)

TTPP: Temporal Transformer with Progressive Prediction for efficient action anticipation. - Wen Wang 012; Xiaojiang Peng; Yanzhou Su; Yu Qiao 001; Jian Cheng 003 (Neurocomputing, 2021)

How to design a deep neural network for retinal vessel segmentation: an empirical study. - Yanzhou Su; Jian Cheng 003; Guiqun Cao; Haijun Liu 001 (Biomed. Signal Process. Control., 2022)

FAPN: Feature Augmented Pyramid Network for polyp segmentation. - Yanzhou Su; Jian Cheng 003; Murong Yi; Haijun Liu 001 (Biomed. Signal Process. Control., 2022)

Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT Scans. - Jin Ye 002; Haoyu Wang 010; Ziyan Huang; Zhongying Deng; Yanzhou Su; Can Tu; Qian Wu; Yuncheng Yang; Meng Wei; Jingqi Niu; Junjun He (CoRR, 2022)

Semantic Segmentation for High-Resolution Remote-Sensing Images via Dynamic Graph Context Reasoning. - Yanzhou Su; Jian Cheng 003; Wen Wang 012; Haiwei Bai; Haijun Liu 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

Multi-Branch Adaptive Hard Region Mining Network for Urban Scene Parsing of High-Resolution Remote-Sensing Images. - Haiwei Bai; Jian Cheng 003; Yanzhou Su; Qi Wang 048; Haoran Han; Yijie Zhang (Remote. Sens., 2022)

Semantic Segmentation of Very-High-Resolution Remote Sensing Images via Deep Multi-Feature Learning. - Yanzhou Su; Jian Cheng 003; Haiwei Bai; Haijun Liu 001; Changtao He (Remote. Sens., 2022)

Calibrated Focal Loss for Semantic Labeling of High-Resolution Remote Sensing Images. - Haiwei Bai; Jian Cheng 003; Yanzhou Su; Siyu Liu 003; Xin Liu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Go To The Right: A Real-Time and Accurate Polyp Segmentation Model for Practical Use. - Yanzhou Su; Changjian Deng; Zhongying Deng; Jin Ye 002; Junjun He; Jian Cheng 003 (ISBI, 2023)

An Accurate Polyp Segmentation Framework via Feature Secondary Fusion. - Yanzhou Su; Qingsong Xie; Jin Ye 002; Junjun He; Jian Cheng 003 (ISBI, 2023)

Evaluating STU-Net for Brain Tumor Segmentation. - Ziyan Huang; Jin Ye 002; Haoyu Wang 010; Zhongying Deng; Yanzhou Su; Tianbin Li; Junlong Cheng; Jianpin Chen; Sizheng Guo; Yiqing Shen 003; Junjun He (BraTS/CrossMoDA@MICCAI, 2023)

Revisiting Feature Propagation and Aggregation in Polyp Segmentation. - Yanzhou Su; Yiqing Shen 003; Jin Ye 002; Junjun He; Jian Cheng 003 (MICCAI (5), 2023)

STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training. - Ziyan Huang; Haoyu Wang 010; Zhongying Deng; Jin Ye 002; Yanzhou Su; Hui Sun; Junjun He; Yun Gu; Lixu Gu; Shaoting Zhang 001; Yu Qiao 001 (CoRR, 2023)

SAM-Med2D. - Junlong Cheng; Jin Ye 002; Zhongying Deng; Jianpin Chen; Tianbin Li; Haoyu Wang 010; Yanzhou Su; Ziyan Huang; Jilong Chen; Lei Jiang; Hui Sun; Junjun He; et al. (CoRR, 2023)

A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation. - Ziyan Huang; Zhongying Deng; Jin Ye 002; Haoyu Wang 010; Yanzhou Su; Tianbin Li; Hui Sun; Junlong Cheng; Jianpin Chen; Junjun He; Yun Gu; Shaoting Zhang 001; et al. (CoRR, 2023)

SAM-Med3D. - Haoyu Wang 010; Sizheng Guo; Jin Ye 002; Zhongying Deng; Junlong Cheng; Tianbin Li; Jianpin Chen; Yanzhou Su; Ziyan Huang; Yiqing Shen 003; Bin Fu; Shaoting Zhang 001; et al. (CoRR, 2023)

SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks. - Jin Ye 002; Junlong Cheng; Jianpin Chen; Zhongying Deng; Tianbin Li; Haoyu Wang 010; Yanzhou Su; Ziyan Huang; Jilong Chen; Lei Jiang; Hui Sun; Min Zhu; et al. (CoRR, 2023)

Enhancing Medical Task Performance in GPT-4V: A Comprehensive Study on Prompt Engineering Strategies. - Pengcheng Chen; Ziyan Huang; Zhongying Deng; Tianbin Li; Yanzhou Su; Haoyu Wang 010; Jin Ye 002; Yu Qiao 001; Junjun He (CoRR, 2023)

Accurate polyp segmentation through enhancing feature fusion and boosting boundary performance. - Yanzhou Su; Jian Cheng 003; Chuqiao Zhong; Chengzhi Jiang; Jin Ye 002; Junjun He (Neurocomputing, 2023)

FeDNet: Feature Decoupled Network for polyp segmentation from endoscopy images. - Yanzhou Su; Jian Cheng 003; Chuqiao Zhong; Yijie Zhang; Jin Ye 002; Junjun He; Jun Liu (Biomed. Signal Process. Control., 2023)

A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding. - Yiqing Shen 003; Zan Chen; Michail Mamalakis; Luhan He; Haiyang Xia; Tianbin Li; Yanzhou Su; Junjun He; Yu Guang Wang 001 (BIBM, 2024)

TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein Engineering. - Yiqing Shen 003; Zan Chen; Michail Mamalakis; Yungeng Liu; Tianbin Li; Yanzhou Su; Junjun He; Pietro Liò; Yu Guang Wang 001 (BIBM, 2024)

A Tiny Efficient U-Net with Gated Linear Attention for Medical Image Segmentation. - Sibo Ju; Zhaozhen Chen; Xiangwen Liao; Yiqing Shen 003; Junjun He; Yanzhou Su (BIBM, 2024)

SAM-Med3D: Towards General-Purpose Segmentation Models for Volumetric Medical Images. - Haoyu Wang 010; Sizheng Guo; Jin Ye 002; Zhongying Deng; Junlong Cheng; Tianbin Li; Jianpin Chen; Yanzhou Su; Ziyan Huang; Yiqing Shen 003; Bin Fu; Shaoting Zhang 001; et al. (ECCV Workshops (16), 2024)

GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI. - Pengcheng Chen; Jin Ye 002; Guoan Wang; Yanjun Li 007; Zhongying Deng; Wei Li 044; Tianbin Li; Haodong Duan; Ziyan Huang; Yanzhou Su; Benyou Wang; Shaoting Zhang 001; et al. (NeurIPS, 2024)

A Survey for Large Language Models in Biomedicine. - Chong Wang; Mengyao Li; Junjun He; Zhongruo Wang; Erfan Darzi; Zan Chen; Jin Ye 002; Tianbin Li; Yanzhou Su; Jing Ke; Kaili Qu; Shuxin Li; et al. (CoRR, 2024)

GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AI. - Tianbin Li; Yanzhou Su; Wei Li 044; Bin Fu; Zhe Chen 017; Ziyan Huang; Guoan Wang; Chenglong Ma; Ying Chen; Ming Hu; Yanjun Li 007; Pengcheng Chen; et al. (CoRR, 2024)

SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation. - Jin Ye 002; Ying Chen; Yanjun Li 007; Haoyu Wang 010; Zhongying Deng; Ziyan Huang; Yanzhou Su; Chenglong Ma; Yuanfeng Ji; Junjun He (CoRR, 2024)

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT. - Zi Li; Ying Chen; Zeli Chen; Yanzhou Su; Tai Ma; Tony C. W. Mok; Yan-Jie Zhou; Yunhai Bai; Zhinlin Zheng; Le Lu 001; Yirui Wang 002; Jia Ge; et al. (CoRR, 2024)

ORBNet: Original Reinforcement Bilateral Network for High-Resolution Remote Sensing Image Semantic Segmentation. - Yijie Zhang; Jian Cheng 003; Yanzhou Su; Yuheng Wu; Qijun Ma (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Global Adaptive Second-Order Transformer for Remote Sensing Image Semantic Segmentation. - Yijie Zhang; Jian Cheng 003; Yanzhou Su; Changjian Deng; Ziying Xia; Nyima Tashi (IEEE Trans. Geosci. Remote. Sens., 2024)

Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline. - Junlong Cheng; Bin Fu; Jin Ye 002; Guoan Wang; Tianbin Li; Haoyu Wang 010; Ruoyu Li; He Yao; Junren Chen; Jingwen Li; Yanzhou Su; Min Zhu; et al. (CVPR, 2025)

A-Eval: A benchmark for cross-dataset and cross-modality evaluation of abdominal multi-organ segmentation. - Ziyan Huang; Zhongying Deng; Jin Ye 002; Haoyu Wang 010; Yanzhou Su; Tianbin Li; Hui Sun; Junlong Cheng; Jianpin Chen; Junjun He; Yun Gu; Shaoting Zhang 001; et al. (Medical Image Anal., 2025)

SegRap2023: A benchmark of organs-at-risk and gross tumor volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma. - Xiangde Luo; Jia Fu; Yunxin Zhong; Shuolin Liu; Bing Han; Mehdi Astaraki; Simone Bendazzoli; Iuliana Toma-Dasu; Yiwen Ye; Ziyang Chen 003; Yong Xia 001; Yanzhou Su; et al. (Medical Image Anal., 2025)

Towards Effective and Efficient Context-aware Nucleus Detection in Histopathology Whole Slide Images. - Zhongyi Shui; Ruizhe Guo; Honglin Li 001; Yuxuan Sun 002; Yunlong Zhang; Chenglu Zhu; Jiatong Cai; Pingyi Chen; Yanzhou Su; Lin Yang 002 (CoRR, 2025)

From Slices to Sequences: Autoregressive Tracking Transformer for Cohesive and Consistent 3D Lymph Node Detection in CT Scans. - Qinji Yu; Yirui Wang 002; Ke Yan 006; Dandan Zheng; Dashan Ai; Dazhou Guo; Zhanghexuan Ji; Yanzhou Su; Yun Bian; Na Shen; Xiaowei Ding; Le Lu 001; et al. (CoRR, 2025)

A Continual Learning-driven Model for Accurate and Generalizable Segmentation of Clinically Comprehensive and Fine-grained Whole-body Anatomies in CT. - Dazhou Guo; Zhanghexuan Ji; Yanzhou Su; Dandan Zheng; Heng Guo; Puyang Wang; Ke Yan 006; Yirui Wang 002; Qinji Yu; Zi Li; Minfeng Xu; Jianfeng Zhang; et al. (CoRR, 2025)

GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical Reasoning. - Yanzhou Su; Tianbin Li; Jiyao Liu; Chenglong Ma; Junzhi Ning; Cheng Tang; Sibo Ju; Jin Ye 002; Pengcheng Chen; Ming Hu; Shixiang Tang; Lihao Liu; et al. (CoRR, 2025)

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning. - Jinzheng Li; Sibo Ju; Yanzhou Su; Hongguang Li; Yiqing Shen 003 (CoRR, 2025)

Adaptive feature decoupled network for polyp segmentation. - Shibin Zou; Guoan Wang; Yueyang Zhang; Yiqing Shen 003; Mengxia Yuan; Yanzhou Su (Biomed. Signal Process. Control., 2026)