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ORCIDJun Shi 0007
Person information
- affiliation: University of Science and Technology of China, School of Computer Science and Technology, Hefei, China
Other persons with the same name
- Jun Shi — disambiguation page
- Jun Shi 0001 — Qualcomm Inc., San Diego, CA, USA (and 2 more)
- Jun Shi 0002
![[0000-0003-4520-8975]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-4520-8975")
— University of Electronic Science and Technology of China, Chengdu, Sichuan, China - Jun Shi 0003 — Harbin Institute of Technology, Communication Research Center, China
- Jun Shi 0004 — Shanghai University, Institute of Biomedical Engineering, School of Communication and Information Engineering, China (and 1 more)
- Jun Shi 0005 — Guangzhou University, School of Mechanical and Electrical Engineering, China
- Jun Shi 0006 — Hefei University of Technology, School of Software, School of Computer Science and Information Engineering, China
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2020 – today
- 2025
[c16]Liang Qiao, Jun Shi, Xiaoyu Hao, Xi Fang, Sen Zhang, Minfan Zhao, Ziqi Zhu, Junshi Chen, Hong An, Xulong Tang, Bing Li, Honghui Yuan, Xinyang Wang:
Pruner: A Draft-then-Verify Exploration Mechanism to Accelerate Tensor Program Tuning. ASPLOS (2) 2025: 949-965- 2024
- [j1]Jun Shi, Zhaohui Wang, Shulan Ruan, Minfan Zhao, Ziqi Zhu, Hongyu Kan, Hong An, Xudong Xue, Bing Yan:
Rethinking automatic segmentation of gross target volume from a decoupling perspective. Comput. Medical Imaging Graph. 112: 102323 (2024) - [c15]Hannan Wang, Jun Shi, Minfan Zhao, Liang Qiao, Zhaohui Wang, Yue Dai, Yuchen Ma, Hong An:
Clisp: A Robust Interactive Segmentation Framework for Pathological Images. EMBC 2024: 1-5 - [c14]Jun Shi, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Hong An, Xudong Xue, Bing Yan:
Predictive Accuracy-Based Active Learning for Medical Image Segmentation. IJCAI 2024: 4885-4893 - [i5]Liang Qiao, Jun Shi, Xiaoyu Hao, Xi Fang, Minfan Zhao, Ziqi Zhu, Junshi Chen, Hong An, Bing Li, Honghui Yuan, Xinyang Wang:
Pruner: An Efficient Cross-Platform Tensor Compiler with Dual Awareness. CoRR abs/2402.02361 (2024) - [i4]Jun Shi, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Hong An, Xudong Xue, Bing Yan:
Predictive Accuracy-Based Active Learning for Medical Image Segmentation. CoRR abs/2405.00452 (2024) - 2023
- [c13]Qiang Liu, Jun Shi, Liang Qiao, Ziqi Zhu, Hong An, Minfan Zhao:
FRNET: An Effective Hybrid Structure for Automatic Segmentation of Head and Neck Primary Tumors from Multimodal Images. ISBI 2023: 1-5 - [c12]Ziqi Zhu, Jun Shi, Minfan Zhao, Zhaohui Wang, Liang Qiao, Hong An:
Contrast Learning Based Robust Framework for Weakly Supervised Medical Image Segmentation with Coarse Bounding Box Annotations. CMMCA@MICCAI 2023: 110-119 - [c11]Jun Shi, Hongyu Kan, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Liang Qiao, Zhaohui Wang, Hong An, Xudong Xue:
H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation. MICCAI (4) 2023: 692-702 - [c10]Xiangneng Gao, Shulan Ruan, Jun Shi, Guoqing Hu, Wei Wei:
Multi-View Attention Learning for Residual Disease Prediction of Ovarian Cancer. SMC 2023: 653-658 - [i3]Xiangneng Gao, Shulan Ruan, Jun Shi, Guoqing Hu, Wei Wei:
Multi-View Attention Learning for Residual Disease Prediction of Ovarian Cancer. CoRR abs/2306.14646 (2023) - [i2]Jun Shi, Hongyu Kan, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Liang Qiao, Zhaohui Wang, Hong An, Xudong Xue:
H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation. CoRR abs/2307.01486 (2023) - 2022
- [c9]Minfan Zhao, Min Ling, Zhaohui Wang, Jun Shi, Hongyu Kan, Hong An, Wenting Han, Joseph Bartlett, Wenqi Lu:
Whole Slide Image Multi-Classification of Cervical Epithelial Lesions Based on Unsupervised Pre-training. EMBC 2022: 594-598 - [c8]Hongyu Kan, Jun Shi, Minfan Zhao, Zhaohui Wang, Wenting Han, Hong An, Zhaoyang Wang, Shuo Wang:
ITUnet: Integration Of Transformers And Unet For Organs-At-Risk Segmentation. EMBC 2022: 2123-2127 - [c7]Liang Qiao, Qiang Liu, Jun Shi, Minfan Zhao, Hongyu Kan, Zhaohui Wang, Hong An, Chenguang Xiao, Shuo Wang:
FcTC-UNet: Fine-grained Combination of Transformer and CNN for Thoracic Organs Segmentation. EMBC 2022: 4749-4753 - [c6]Jun Shi, Zhaohui Wang, Hongyu Kan, Minfan Zhao, Xudong Xue, Bing Yan, Hong An, Jianjun Shen, Joseph Bartlett, Wenqi Lu, Jinming Duan:
Automatic Segmentation of Target Structures for Total Marrow and Lymphoid Irradiation in Bone Marrow Transplantation. EMBC 2022: 5025-5029 - 2021
- [c5]Jun Shi, Huite Yi, Shulan Ruan, Zhaohui Wang, Xiaoyu Hao, Hong An, Wei Wei:
DARNet: Dual-Attention Residual Network for Automatic Diagnosis of COVID-19 via CT Images. BIBM 2021: 1528-1533 - [c4]Zhaohui Wang, Jun Shi, Xiaoyu Hao, Ke Wen, Xu Jin, Hong An:
Simultaneous Right Ventricle End-diastolic and End-systolic Frame Identification and Landmark Detection on Echocardiography. EMBC 2021: 3916-3919 - [c3]Huite Yi, Jun Shi, Bing Yan, Xudong Xue, Hong An, Hongyan Zhang:
Global Multi-Level Attention Network for the Segmentation of Clinical Target Volume In The Planning CT For Cervical Cancer. ISBI 2021: 230-233 - [c2]Min Ling, Guofeng Lv, Jue Wang, Xiaoyu Hao, Jun Shi, Hong An:
Fast Whole Slide Image Analysis Of Cervical Cancer Using Weak Annotation. ISBI 2021: 1037-1041 - [i1]Jun Shi, Huite Yi, Xiaoyu Hao, Hong An, Wei Wei:
Dual-Attention Residual Network for Automatic Diagnosis of COVID-19. CoRR abs/2105.06779 (2021) - 2020
- [c1]Jun Shi, Ke Wen, Xiaoyu Hao, Xudong Xue, Hong An, Hongyan Zhang:
A Novel U-Like Network For The Segmentation Of Thoracic Organs. ISBI Workshops 2020: 1-4
Coauthor Index
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