个人简介
朱子琦，2021级硕士生，2023级博士生， ACSA实验室HPDA方向。导师：安虹教授
学术经历
- 2023.09 - 至今，中国科学技术大学大数据学院，博士生
- 2021.09 - 2023.09，中国科学技术大学计算机学院，硕士生
- 2018.07 - 2021.06，中国科学技术大学计算机学院，本科生
- 2017.09 - 2018.07，中国科学技术大学工程科学学院，本科生
研究方向
- 医学影像认知计算
- 大模型分布式训练框架
助教课程
- 2022，2023 中国科学技术大学 计算机学院 计算系统概论A
获奖情况
- 2021.10 Intel全球AI影响力嘉年华创造者赛道最高奖
- 2022.10 并行应用挑战赛(PAC2022)全国三等奖
一作论文
PromptSeg: Learning to Segment Medical Image via Visual Prompts
Minfan Zhao, Ziqi Zhu, Jun Shi, Zhaohui Wang, Junshi Chen, Hong AnContrast 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参与论文
A review of deep learning-based medical image segmentation methods
Jun Shi, Tiantong Wang, Ziqi Zhu, Minfan Zhao, Bingxun Wang, Junshi Chen, Hong AnCarver: Learning to Reconstruct Right Ventricle from Sparse Multi-View 2D Echocardiograms
Yida Li, Jun Shi, Zhaohui Wang, Tiantong Wang, Ziqi Zhu, Minfan ZhaoPruner: A Draft-then-Verify Exploration Mechanism to Accelerate Tensor Program Tuning
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 WangPredictive Accuracy-Based Active Learning for Medical Image Segmentation
Jun Shi, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Hong AnFRNET: 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 ZhaoH-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 XueRethinking 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