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个人资料

  • 部门: 计算机科学与技术学院
  • 性别:
  • 专业技术职务: 副研究员
  • 研究标签:
  • 毕业院校: 哈尔滨工业大学
  • 学位: 研究生
  • 学历: 博士
  • 联系电话:
  • 电子邮箱: xmshi@cs.ecnu.edu.cn
  • 办公地址: 中北校区物理楼
  • 通讯地址: 上海市普陀区中山北路3663号华东师范大学中北校区
  • 邮编: 200333
  • 传真:

教育经历

2016.09 - 2022.09    哈尔滨工业大学计算机学院,在刘挺教授负责的SCIR实验室学习与科研,师从车万翔教授,获得博士学位

2012.09 - 2016.06    哈尔滨工业大学理学院,获学士学位

工作经历

2024.05 - 至今            华东师范大学计算机科学与技术学院,专任副研究员

2022.10 - 2024.04      上海人工智能实验室,青年研究员


我的研究兴趣主要集中在自然语言处理、大模型基础技术的研究以及在医疗教育等垂直领域的应用。

诚邀对自然语言处理大模型智能教育、智慧医疗领域充满热情,具备强烈自我激励和优秀时间管理技能的本科生和研究生加入我们,共同探讨、协作并追求卓越。详情请见个人主页




个人简介

社会兼职

研究方向


招生与培养


开授课程

科研项目

学术成果

1. Medical Dialogue System: A Survey of Categories, Methods, Evaluation and Challenges.
Xiaoming Shi, Zeming Liu, Li Du, Yuxuan Wang, Hongru Wang, Yuhang Guo, Tong Ruan, Jie Xu, and Shaoting Zhang. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2024) Findings. [Paper]

2. MidMed: Towards Mixed-Type Dialogues for Medical Consultation. Xiaoming Shi, Zeming Liu, Chuan Wang, Haitao Leng, Kui Xue, Xiaofan Zhang, and Shaoting Zhang. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023). [Paper] [Resource]

3. Understanding Medical Conversations with Scattered Keyword Attention and Weak Supervision from Responses. Xiaoming Shi, Haifeng Hu, Wanxiang Che, Zhongqian Sun, Ting Liu and Junzhou Huang. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020). [Paper] [Code]

4. Understanding Patient Query with Weak Supervision from Doctor Response. Xiaoming Shi, Sendong Zhao, Wanxiang Che, Yefeng Zheng. IEEE Journal of Biomedical and Health Informatics 26, no. 6 (2021): 2770-2777. [Paper] [Code]

5. Learning Semantic Alignment with Global Modality Reconstruction for VideoLanguage Pre-training towards Retrieval. Mingchao Li, Xiaoming Shi, Haitao Leng, Wei Zhou, Haitao Zheng, and Kuncai Zhang. In Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023). [Paper]

6. Combating with Extremely Noisy Samples in Weakly Supervised Slot Filling for Automatic Diagnosis. Xiaoming Shi, and Wanxiang Che. Frontiers of Computer Science 17, no. 5 (2023): 175333. [Paper]

7. AF Adapter: Continual Pretraining for Building Chinese Biomedical Language Model. Yongyu Yan, Kui Xue, Xiaoming Shi, Qi Ye, Jingping Liu, and Tong Ruan. In Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2023). [Paper] [Code]

8. Online Action Detection with Learning Future Representations by Contrastive Learning. Haitao Leng, Xiaoming Shi, Wei Zhou, Kuncai Zhang, Qiankun Shi, and Pengcheng Zhu. In Proceedings of the IEEE International Conference on Multimedia and Expo 2023. [Paper]

9. MedBench: A Comprehensive, Standardized, and Reliable Benchmarking System for Evaluating Chinese Medical Large Language Models. Mianxin Liu, Jinru Ding, Jie Xu, Weiguo Hu, Xiaoyang Li, Lifeng Zhu, Zhian Bai, Xiaoming Shi, Benyou Wang, Haitao Song, Pengfei Liu, Xiaofan Zhang, Shanshan Wang, Kang Li, Haofen Wang, Tong Ruan, Xuanjing Huang, Xin Sun, and Shaoting Zhang. Big Data Mining and Analytics, 2024. [Paper]


荣誉及奖励

上海市青年科技启明星计划扬帆专项,2023