Lifang头像

Lifang

Associate professor

Research direction: natural language processing

102202

Education: PhD

  • Department: School of Information Science and Technology
  • ORCID:
  • DBLP:

10 Access

  • Email: lifang@mail.buct.edu.cn
  • Office : F-311, Experimental building, Changping Campus
  • Introduction
  • Research
  • Teaching
  • Funding
  • Publications
  • Awards
  • Honor Reward
  • Admission

Introduction

Dr. LIFANG is currently an Associate Professor at the College of Information Science and Technology, Beijing University of Chemical Technology. She got the PhD degree at BUCT in Computer science and technology in 2010.

She did research on text mining in Linköping university as a research scholar from 2012 to 2013.

Currently, her main research interests involve natural language processing, deep learning model, large data analysis etc.

Education

Work Experience

Social Position

Social Activities

Research

Natural language processing 

Deep learning model 

Large data analysis

Teaching


Programming Basics

Principles of Operating System

Comprehensive Design of Computer Systems

Production Practice

Postgraduates

Funding

  1. Development of a Four-Well Real-Time Isothermal Amplification Instrument – Commissioned Scientific and Technological Project by an Enterprise/Institution

  2. Multi-Source Data-Driven Food Quality and Safety Monitoring and Analysis System 

  3. Design and Development of a Petrochemical Industry Standard Query System 

Vertical Project

Horizontal Project

Publications


Fang Li*, Yuyang Feng, Yongdong Fu, Zhifeng Wu, Jinlai Yuan. Design of a wearable ECG signal monitoring system and research on arrhythmia classification methods.2025 

Fang Li * ,Zhifeng Wu, Jinlai Yuan, Yuyang Feng. Development of a Low-Cost Fluorescence Analyzer Based on Software Filtering for Reading Fluorescence Strips. (CISP-BMEI)2024

Software Copyright Registration – Sugar Mate Bioimpedance Blood Glucose Detection Software V1.0 Registered.2025



Awards

  • 2025 – Third Prize, 4th National Computer Course Ideological & Political Teaching Case Design Competition

  • 2024 – National Award, Computer Competence Competition (Student Advisor) | Outstanding Instructor

  • 2023 – National First-Class Undergraduate Course

  • 2023 – Huawei Spring Rain Medal

  • 2023 – Pilot Institution, Ministry of Education System Capacity Training Program for Computer Majors

  • 2022 – Second Prize, Beijing Outstanding Education & Teaching Achievements

  • 2022 – University-Level Ideological & Political Demonstration Course

  • 2021 – High-Quality Undergraduate Teaching Materials & Courseware, Beijing Municipal Education Commission

  • 2020 – Outstanding Education & Teaching Achievement Award, Beijing University of Chemical Technology


Patent

Honor Reward

Admissions Information