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Yanzhou Su
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Journal Articles
- 2024
- [j12]Yijie Zhang, Jian Cheng, Yanzhou Su, Yuheng Wu, Qijun Ma:
ORBNet: Original Reinforcement Bilateral Network for High-Resolution Remote Sensing Image Semantic Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 15900-15913 (2024) - [j11]Yijie Zhang, Jian Cheng, Yanzhou Su, Changjian Deng, Ziying Xia, Nyima Tashi:
Global Adaptive Second-Order Transformer for Remote Sensing Image Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - 2023
- [j10]Yanzhou Su, Jian Cheng, Chuqiao Zhong, Yijie Zhang, Jin Ye, Junjun He, Jun Liu:
FeDNet: Feature Decoupled Network for polyp segmentation from endoscopy images. Biomed. Signal Process. Control. 83: 104699 (2023) - [j9]Yanzhou Su, Jian Cheng, Chuqiao Zhong, Chengzhi Jiang, Jin Ye, Junjun He:
Accurate polyp segmentation through enhancing feature fusion and boosting boundary performance. Neurocomputing 545: 126233 (2023) - 2022
- [j8]Yanzhou Su, Jian Cheng, Guiqun Cao, Haijun Liu:
How to design a deep neural network for retinal vessel segmentation: an empirical study. Biomed. Signal Process. Control. 77: 103761 (2022) - [j7]Yanzhou Su, Jian Cheng, Murong Yi, Haijun Liu:
FAPN: Feature Augmented Pyramid Network for polyp segmentation. Biomed. Signal Process. Control. 78: 103903 (2022) - [j6]Yanzhou Su, Jian Cheng, Wen Wang, Haiwei Bai, Haijun Liu:
Semantic Segmentation for High-Resolution Remote-Sensing Images via Dynamic Graph Context Reasoning. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j5]Yanzhou Su, Jian Cheng, Haiwei Bai, Haijun Liu, Changtao He:
Semantic Segmentation of Very-High-Resolution Remote Sensing Images via Deep Multi-Feature Learning. Remote. Sens. 14(3): 533 (2022) - [j4]Haiwei Bai, Jian Cheng, Yanzhou Su, Qi Wang, Haoran Han, Yijie Zhang:
Multi-Branch Adaptive Hard Region Mining Network for Urban Scene Parsing of High-Resolution Remote-Sensing Images. Remote. Sens. 14(21): 5527 (2022) - [j3]Haiwei Bai, Jian Cheng, Yanzhou Su, Siyu Liu, Xin Liu:
Calibrated Focal Loss for Semantic Labeling of High-Resolution Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 6531-6547 (2022) - 2021
- [j2]Wen Wang, Xiaojiang Peng, Yanzhou Su, Yu Qiao, Jian Cheng:
TTPP: Temporal Transformer with Progressive Prediction for efficient action anticipation. Neurocomputing 438: 270-279 (2021) - 2020
- [j1]Haijun Liu, Jian Cheng, Wen Wang, Yanzhou Su, Haiwei Bai:
Enhancing the discriminative feature learning for visible-thermal cross-modality person re-identification. Neurocomputing 398: 11-19 (2020)
Conference and Workshop Papers
- 2023
- [c6]Yanzhou Su, Changjian Deng, Zhongying Deng, Jin Ye, Junjun He, Jian Cheng:
Go To The Right: A Real-Time and Accurate Polyp Segmentation Model for Practical Use. ISBI 2023: 1-5 - [c5]Yanzhou Su, Qingsong Xie, Jin Ye, Junjun He, Jian Cheng:
An Accurate Polyp Segmentation Framework via Feature Secondary Fusion. ISBI 2023: 1-5 - [c4]Yanzhou Su, Yiqing Shen, Jin Ye, Junjun He, Jian Cheng:
Revisiting Feature Propagation and Aggregation in Polyp Segmentation. MICCAI (5) 2023: 632-641 - 2021
- [c3]Changjian Deng, Leikun Liang, Yanzhou Su, Changtao He, Jian Cheng:
Semantic Segmentation for High-Resolution Remote Sensing Images by Light-Weight Network. IGARSS 2021: 3456-3459 - 2019
- [c2]Wen Wang, Lijun Du, Yinxing Gao, Yanzhou Su, Feng Wang, Jian Cheng:
A Discriminatively Learned CNN Embedding For Remote Sensing Image Scene Classification. IGARSS 2019: 3832-3835 - [c1]Yanzhou Su, Yongjian Wu, Min Wang, Feng Wang, Jian Cheng:
Semantic Segmentation of High Resolution Remote Sensing Image Based on Batch-Attention Mechanism. IGARSS 2019: 3856-3859
Informal and Other Publications
- 2024
- [i16]Yiqing Shen, Zan Chen, Michail Mamalakis, Luhan He, Haiyang Xia, Tianbin Li, Yanzhou Su, Junjun He, Yu Guang Wang:
A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding. CoRR abs/2406.05540 (2024) - [i15]Pengcheng Chen, Jin Ye, Guoan Wang, Yanjun Li, Zhongying Deng, Wei Li, Tianbin Li, Haodong Duan, Ziyan Huang, Yanzhou Su, Benyou Wang, Shaoting Zhang, Bin Fu, Jianfei Cai, Bohan Zhuang, Eric J. Seibel, Junjun He, Yu Qiao:
GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI. CoRR abs/2408.03361 (2024) - [i14]Yiqing Shen, Zan Chen, Michail Mamalakis, Yungeng Liu, Tianbin Li, Yanzhou Su, Junjun He, Pietro Liò, Yu Guang Wang:
TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein Engineering. CoRR abs/2408.15299 (2024) - [i13]Chong Wang, Mengyao Li, Junjun He, Zhongruo Wang, Erfan Darzi, Zan Chen, Jin Ye, Tianbin Li, Yanzhou Su, Jing Ke, Kaili Qu, Shuxin Li, Yi Yu, Pietro Liò, Tianyun Wang, Yu Guang Wang, Yiqing Shen:
A Survey for Large Language Models in Biomedicine. CoRR abs/2409.00133 (2024) - 2023
- [i12]Ziyan Huang, Haoyu Wang, Zhongying Deng, Jin Ye, Yanzhou Su, Hui Sun, Junjun He, Yun Gu, Lixu Gu, Shaoting Zhang, Yu Qiao:
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training. CoRR abs/2304.06716 (2023) - [i11]Junlong Cheng, Jin Ye, Zhongying Deng, Jianpin Chen, Tianbin Li, Haoyu Wang, Yanzhou Su, Ziyan Huang, Jilong Chen, Lei Jiang, Hui Sun, Junjun He, Shaoting Zhang, Min Zhu, Yu Qiao:
SAM-Med2D. CoRR abs/2308.16184 (2023) - [i10]Ziyan Huang, Zhongying Deng, Jin Ye, Haoyu Wang, Yanzhou Su, Tianbin Li, Hui Sun, Junlong Cheng, Jianpin Chen, Junjun He, Yun Gu, Shaoting Zhang, Lixu Gu, Yu Qiao:
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation. CoRR abs/2309.03906 (2023) - [i9]Haoyu Wang, Sizheng Guo, Jin Ye, Zhongying Deng, Junlong Cheng, Tianbin Li, Jianpin Chen, Yanzhou Su, Ziyan Huang, Yiqing Shen, Bin Fu, Shaoting Zhang, Junjun He, Yu Qiao:
SAM-Med3D. CoRR abs/2310.15161 (2023) - [i8]Jin Ye, Junlong Cheng, Jianpin Chen, Zhongying Deng, Tianbin Li, Haoyu Wang, Yanzhou Su, Ziyan Huang, Jilong Chen, Lei Jiang, Hui Sun, Min Zhu, Shaoting Zhang, Junjun He, Yu Qiao:
SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks. CoRR abs/2311.11969 (2023) - [i7]Pengcheng Chen, Ziyan Huang, Zhongying Deng, Tianbin Li, Yanzhou Su, Haoyu Wang, Jin Ye, Yu Qiao, Junjun He:
Enhancing Medical Task Performance in GPT-4V: A Comprehensive Study on Prompt Engineering Strategies. CoRR abs/2312.04344 (2023) - [i6]Xiangde Luo, Jia Fu, Yunxin Zhong, Shuolin Liu, Bing Han, Mehdi Astaraki, Simone Bendazzoli, Iuliana Toma-Dasu, Yiwen Ye, Ziyang Chen, Yong Xia, Yanzhou Su, Jin Ye, Junjun He, Zhaohu Xing, Hongqiu Wang, Lei Zhu, Kaixiang Yang, Xin Fang, Zhiwei Wang, Chan Woong Lee, Sang Joon Park, Jaehee Chun, Constantin Ulrich, Klaus H. Maier-Hein, Nchongmaje Ndipenoch, Alina Dana Miron, Yongmin Li, Yimeng Zhang, Yu Chen, Lu Bai, Jinlong Huang, Chengyang An, Lisheng Wang, Kaiwen Huang, Yunqi Gu, Tao Zhou, Mu Zhou, Shichuan Zhang, Wenjun Liao, Guotai Wang, Shaoting Zhang:
SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma. CoRR abs/2312.09576 (2023) - 2022
- [i5]Jin Ye, Haoyu Wang, Ziyan Huang, Zhongying Deng, Yanzhou Su, Can Tu, Qian Wu, Yuncheng Yang, Meng Wei, Jingqi Niu, Junjun He:
Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT Scans. CoRR abs/2210.07490 (2022) - 2021
- [i4]Chengzhi Jiang, Yanzhou Su, Wen Wang, Haiwei Bai, Haijun Liu, Jian Cheng:
IntraLoss: Further Margin via Gradient-Enhancing Term for Deep Face Recognition. CoRR abs/2107.03352 (2021) - 2020
- [i3]Wen Wang, Xiaojiang Peng, Yanzhou Su, Yu Qiao, Jian Cheng:
TTPP: Temporal Transformer with Progressive Prediction for Efficient Action Anticipation. CoRR abs/2003.03530 (2020) - 2019
- [i2]Haijun Liu, Jian Cheng, Wen Wang, Yanzhou Su:
The General Pair-based Weighting Loss for Deep Metric Learning. CoRR abs/1905.12837 (2019) - [i1]Wen Wang, Lijun Du, Yinxing Gao, Yanzhou Su, Feng Wang, Jian Cheng:
A Discriminative Learned CNN Embedding for Remote Sensing Image Scene Classification. CoRR abs/1911.12517 (2019)
Coauthor Index
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