Ruiqing Ding

丁 瑞卿

Currently, I am a Ph.D. candidate in School of Computer Science at Peking University. I am supervised by Prof. Leye Wang.
My research interest is AI for helathcare, with special focus in clinical data mining and medical knowledge enhanced deep learning.

Email: ruiqingding@stu.pku.edu.cn
Google Scholar: Ruiqing Ding
Blog in Madarin Chinese: Ruiqing's Blog
Address: Peking University, No.5 Yiheyuan Road Haidian District, Beijing 100871, P. R. China

Education

Peking University

Doctor of Philosophy - Computer Software and Theory
September 2020 - June 2024 (expected)

Shanghai University of Finance and Economics

Master of Science in Management - Finance Information Engineering
September 2018 - June 2020

Shanghai University of Finance and Economics

Bachelor of Science in Management - Information Management and Information System
Second Major - Finance Insurance Statistics
September 2014 - June 2018

Publications

Journal

Cross-Hospital Sepsis Early Detection via Semi-Supervised Optimal Transport With Self-Paced Ensemble
   Ruiqing Ding, Yu Zhou, Jie Xu, Yan Xie, Qiqiang Liang, He Ren, Yixuan Wang, Yanlin Chen, Leye Wang, & Man Huang
   SCI-Q1 (IF 7.7) | IEEE Journal of Biomedical and Health Informatics (J-BHI) 2023 | paper

Conference

A Unified Knowledge Graph Augmentation Service for Boosting Domain-specific NLP Tasks
   Ruiqing Ding, Xiao Han, & Leye Wang
   Findings of the Association for Computational Linguistics (ACL Findings) 2023 | paper

Cross-center Early Sepsis Recognition by Medical Knowledge Guided Collaborative Learning for Data-scarce Hospitals
   Ruiqing Ding, Fangjie Rong, Xiao Han, & Leye Wang
   ACM Web Conference (WWW) 2023 | paper

Others

A new risk predictive scoring system of vasovagal reactions in patients with preoperative autologous blood donation
   Ying Jiang, Jie Lin, Ruiqing Ding, Lingling Li, Hongxu Chi, Leiying Zhang, Xingqiu Xia, Yang Yu, & Hongying Pi
   Transfusion and Apheresis Science 2023 | paper

CreditPrint: Credit Investigation via Geographic Footprints by Deep Learning
   Xiao Han, Ruiqing Ding, Leye Wang, & Hailiang Huang
   arxiv 2019 | paper

Experience

AI Group Intern

Beijing HealSci Technology Co., Ltd.（北京和兴创联健康科技有限公司）

1. Optimization of clinical perioperative blood transfusion model: Predict blood transfusion volume of perioperative patients according to demographic information and laboratory test indicators.
2. Development of blood transfusion adverse reaction early warning system: Extract the risk factors of blood transfusion adverse reactions from electric medical records and make warnings for possible adverse reactions.

November 2020 - December 2023

Teaching Assistant

Peking University

1. Data Structures and Algorithm, Spring 2023
2. Introduction to Information Science Technology, Fall 2022
3. Data Structures and Algorithm, Spring 2021

Research Assistant

The Chinese University of Hong Kong

1. Use Python web crawler to get car dealership relevant data
2. Integrate automobile brand and marketing strategy data

June 2018 - August 2018

Awards

  • 3 rd Place - Medical Data Mining Algorithm Evaluation Competition 2020 | Task 1: Public health question classification
  • Outstanding Graduate - Shanghai University of Finance and Economics 2020 （上海财经大学优秀毕业生）
  • Outstanding Undergraduate Thesis - Shanghai University of Finance and Economics 2018 （上海财经大学优秀本科生毕业论文）
  • 2 nd Place - Chinese Undergraduate Computer Design Contest 2017 （2017年第10届中国大学生计算机设计大赛决赛二等奖）