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博士后研究员

个人简介

石军, 2020级博士生,ACSA实验室HPDA方向,主要研究方向为医学影像分析、多模态大模型以及大模型训练与推理框架

学生工作

  • 2021年中国科大时珍书院院长助理
  • 2022年计算机学院机器智能党支部书记

助教课程

  • 2021 中国科学技术大学 计算机学院 计算之美

研究项目

  • 科大新医学项目—多源影像融合系统
  • KBR横向课题—基于超声的3D心脏重建
  • 崂山实验室项目—面向新一代国产超算的大模型训练优化框架
  • 华为横向课题—NPU系统仿真与建模:AI Benchmark设计
  • 蔚来横向课题—面向车载设备的AI算子自动融合方法研究

获奖情况

  • 2022.12. 安徽省研究生党员标兵
  • 2023.03. 中国科大研究生党员标兵
  • 2022.12. 中国科大-英特尔奖学金
  • 2023.10. 中国科大-英特尔奖学金
  • 2021.10. 第四届世界声博会十大人工智能新锐团队
  • 2021.10. Inte全球AI影响力嘉年华创造者赛道最高奖
  • 2020-2022. 科大讯飞1024 AI开发者大赛冠军(10项)
  • 2021.10. 科大讯飞1024 AI开发者大赛十佳算法团队
  • 2018-2019年全国并行应用挑战赛铜奖
  • 2020.06. ISC世界大学生超算竞赛冠军(教练)
  • 2023.05. ASC世界大学生超算竞赛亚军(教练)

已发表论文

发表论文20篇,其中一作(英文):

一作论文

Predictive Accuracy-Based Active Learning for Medical Image Segmentation

Jun Shi, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Hong An
International Joint Conference on Artificial Intelligence (IJCAI 2024) CCF A

H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation

Jun Shi, Hongyu Kan, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Liang Qiao, Zhaohui Wang, Hong An, Xudong Xue
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2023) CCF B

Rethinking Automatic Segmentation of Gross Target Volume from a Decoupling Perspective

Jun Shi, Zhaohui Wang, Shulan Ruan, Minfan Zhao, Ziqi Zhu, Hongyu Kan, Hong An, Xudong Xue, Bing Yan
Computerized Medical Imaging and Graphics (CMIG 2023) SCI Q1, IF=5.7

Automatic Segmentation of Target Structures for Total Marrow and Lymphoid Irradiation in Bone Marrow Transplantation

Jun Shi, Zhaohui Wang, Hongyu Kan, Minfan Zhao, Xudong Xue, Bing Yan, Hong An, Jianjun Shen, Joseph Bartlett, Wenqi Lu, Jinming Duan
44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2022) 医疗影像领域会议

DARNet: Dual-Attention Residual Network for Automatic Diagnosis of COVID-19 via CT Images

Jun Shi, Huite Yi, Shulan Ruan, Zhaohui Wang, Xiaoyu Hao, Hong An, Wei Wei
IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2021) CCF B

A Novel U-Like Network for the Segmentation of Thoracic Organs

Jun Shi, Ke Wen, Xiaoyu Hao, Xudong Xue, Hong An, Hongyan Zhang
IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020) 医疗影像领域会议
      加粗作者名代表共同一作

参与论文

Clisp: A Robust Interactive Segmentation Framework for Pathological Images

Hannan Wang, Jun Shi, Minfan Zhao, Liang Qiao, Zhaohui Wang, Yue Dai, Yuchen Ma, Hong An
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2024) CCF B

Contrast Learning Based Robust Framework for Weakly Supervised Medical Image Segmentation with Coarse Bounding Box Annotations

Ziqi Zhu, Jun Shi, Minfan Zhao, Zhaohui Wang, Liang Qiao, Hong An
Computational Mathematics Modeling in Cancer Analysis (CMMCA@MICCAI 2023) CCF B

FRNET: An Effective Hybrid Structure for Automatic Segmentation of Head and Neck Primary Tumors from Multimodal Images

Qiang Liu, Jun Shi, Liang Qiao, Ziqi Zhu, Minfan Zhao
20th International Symposium on Biomedical Imaging (ISBI 2023) CCF C

FcTC-UNet: Fine-grained Combination of Transformer and CNN for Thoracic Organs Segmentation

Liang Qiao, Qiang Liu, Jun Shi, Minfan Zhao, Hongyu Kan, Zhaohui Wang, Hong An, Chenguang Xiao, Shuo Wang
44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2022) CCF B

Whole Slide Image Multi-Classification of Cervical Epithelial Lesions Based on Unsupervised Pre-training

Minfan Zhao, Min Ling, Zhaohui Wang, Jun Shi, Hongyu Kan, Hong An, Wenting Han, Joseph Bartlett, Wenqi Lu
44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2022) CCF B

Simultaneous Right Ventricle End-diastolic and End-systolic Frame Identification and Landmark Detection on Echocardiography

Zhaohui Wang, Jun Shi, Xiaoyu Hao, Ke Wen, Xu Jin, Hong An
IEEE Engineering in Medicine & Biology Society (EMBC 2021) CCF B