Dr. Shenghui SHI

Time：2024-10-11Views：10

Professor

 Department of Computer Science and Technology

 College of Information Science and Technology

 Beijing University of Chemical Technology

Email: shish@mail.buct.edu.cn

Background                                                                  

 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 got his Bachelor degree in Computer Science at Northeast Electric Power University, and received the PhD degree from College of Information Science and Technology, Beijing University of Chemical Technology. She did Interdisciplinary research between artificial intelligence and medicine in School of Medicine, Stanford University as a research scholar from 2013 to 2014.

 Areas of Research of Expertise

  • natural language processing, deep learning model and algorithm optimization, large data analysis, multimodal learning.

  • medical metadata standardization, storage and analysis, bioinformatics.

  • intelligent manufacturing; digital transformation.

Teaching                                             

 Undergraduate Teaching

  • Data Structure

  • Compiler Principle

  • Programming Design

 Postgraduate Teaching

  • System Analysis and Design

Research                                                

 Funded Research Projects

Projects from Ministry of Science and Technology of the People’s Republic of China

Project from Beijing Municipal Education Commission

Five Representative Publications                                           

  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.(SCI, TOP, Q1).2024,25(5).

  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(SCI, Q1). 2023,20(1):595-605.

  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(SCI, Q2).2023.

  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(SCI, Q2). 2022, 23:8. 

  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(SCI, Q1).2016,17(3):216–222.