Shenghui Shi头像

Shenghui Shi

Professor

Research direction: Natural language processing; deep learning model and algorithm optimization; medical metadata standardization, storage and analysis; bioinformatics; intelligent manufacturing; digital transformation; compiler technology

Education: Doctor of Philosophy

10 Access

  • Email: shish@mail.buct.edu.cn
  • Office :
  • Introduction
  • Research
  • Teaching
  • Funding
  • Publications
  • Awards
  • Honor Reward
  • Admission

Introduction

Currently, Dr. Shenghui Shi is working as professor of Department of Computer Science and Technology, College of Information Science and Technology, Beijing University of Chemical Technology.  She received the PhD degree from College of Information Science and Technology, Beijing University of Chemical Technology in 2011.


She did interdisciplinary research between artificial intelligence and medicine  in School of Medicine, Stanford University as a research scholar from 2013 to 2014.


Her current research interests involve natural language processing, deep learning model and algorithm optimization, medical metadata standardization, storage and analysis, bioinformatics, large data analysis, multimodal  learning, intelligent manufacturing; digital transformation etc.


Education

Work Experience

Social Position

Member of China Computer Federation

Member of Education big data professional committee, Chinese Society of Educational Development Strategy

Social Activities

Research

Interdisciplinary research:


1. Natural language processing


2. Deep learning model research and algorithm optimization


3. Standardization, storage and analysis of medical metadata


4. Bioinformatics


5. Big data analysis


6. Multimodal  learning


7. intelligent manufacturing


8. digital transformation


Teaching

Data structure, 2001 - Present, 64hrs/56hrs/48hrs

Data Structures and Algorithms, 48+40hrs

Experiment in Data structure, 32hrs

Design of Data structure, 20hrs

Compiler principle, 2001 - Present, 56hrs

Design of Compiler Principle, 20hrs

Programming training, 2016 - Present, 20hrs

Programming design Ⅰ&Ⅱ, 2016 - Present, 64hrs,48hrs

Postgraduates

System analysis and design,  Chinese postgraduate, 32hrs

System analysis and design,  International postgraduate, 32hrs


Funding

Vertical Project

Horizontal Project

Publications

    1. [1]  Kechen Fan, Mengfan Li, Jiarong Zhang, Zihan Xie, Daguang Jiang, Xiaochen Bo, Dongsheng Zhao, Shenghui Shi (Corresponding author), Ming Ni. ReadCurrent: A VDCNN-based tool for fast and accurate nanopore selective sequencing. Briefings in Bioinformatics. 2024. Accepted.(SCI, TOP, IF: 7.9/Q1).

    2. [2] Zhaoying Chai, Han Jin, Shenghui Shi (Corresponding author), Siyan Zhan, Lin Zhuo, Yu Yang and Qi Lian. Noise Reduction Learning based on XLNet-CRF for Biomedical Named Entity Recognition. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS. 2023,20(1):595-605. DOI: 10.1109/TCBB.2022.3157630 (SCI, IF: 4.5/Q1)

    3. [3]  Yunyang Zhao, Yujia Tian, Xiaoyang Pang, Guo Li, Shenghui Shi(Corresponding author) , Aixia Yan. Classification of FLT3 inhibitors and SAR analysis by machine learning methods . Molecular Diversity.2023. DOI:10.1007/s11030-023-10640-8 (SCI, IF: 3.364/Q2)

    4. [4]  Zhaoying Chai, Han Jin, Shenghui Shi(Corresponding author), Siyan Zhan, Lin Zhuo and Yu Yang. Hierarchical shared transfer learning for biomedical named entity recognition. BMC Bioinformatics. 2022, 23:8. DOI:10.1186/s12859-021-04551-4 (SCI, IF: 4.3/Q2)

    5. [5]  Stephanie Siehr#, Shenghui Shi#(共同第一作者), Shiying Hao, Zhongkai Hu, Bo Jin, Frank Hanley, Vadiyala Reddy, Doff McElhinney, Xuefeng Ling*, Andrew Shin*. Exploring the Role of Polycythemia in Patients With Cyanosis After Palliative Congenital Heart Surgery. Pediatric Critical Care Medicine.2016,17(3):216–222(SCI, IF: 3.8/Q1)

Awards

Patent

Honor Reward

1. Facilitator Development Workshop (FDW), Shangdong University, 2020


2.Instructional Skills Workshop (ISW), The Center of faculty Development of Beijing Jiaotong University,2019

Admissions Information

Majors in computer science and technology, software engineering, artificial intelligence, big data, etc.


Students who are interested in the interdisciplinary research of natural language processing.



Be able to use Python, Java+MySql and other programming languages proficiently


Honest, responsible and persevering.