Zeyu Li (李泽宇)
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Studying for a master's degree, |
About me
I received a bachelor's degree in computer science and technology from the Beijing University of Technology in 2016 and started to study for a master's degree at the Communication University of China in 2020. I am currently a master's student at the Media Big Data Center of the State Key Laboratory of Media Convergence and Communication, Communication University of China. My supervisor is Professor Hao Shen, a leader in the field of journalism and communication in China. In 2019, I worked as a scientific research intern at the Institute of Software, Chinese Academy of Sciences for one year, and participated in the research work on several topics under the guidance of Professor Haiming Chen. My main research interests include natural language processing, deep learning, and recommender systems. In addition, I have also done some research on knowledge graphs, such as the Chinese short text matching optimization algorithms based on external knowledge. I focus on using AI to solve real problems in journalism.
Research
My research interests include:
Natural Language Processing
Deep Learning
Recommender Systems
Current work
Portraits of scientific researchers based on knowledge graphs
Social network public opinion analysis
Under review
Z. Li*, H. Shen, H. Ma, T. Yu, "VMKGAN: An Efficient Multimodal News Recommendation Model".
H. Ma*, Z. Ding, Z. Li, X. Wang, H. Guo, "Contrastive Learning Model via Mutli-Stage Data Augmentation for Chinese Short Texts".
Recent publications
Z. Li*, T. Yu, H. Shen, "Research on Opinion Targets Extraction of Travel Reviews Based on RoBERTa Embedded BILSTM-CRF Model.", 2021 International Conference on Culture-oriented Science & Technology (ICCST 2021). [pdf]
H. Ma*, Z. Ding, Z. Li, H. Guo, "OTE: An Optimized Chinese Short Text Matching Algorithm Based on External Knowledge.", In International Conference on Knowledge Science, Engineering and Management(KSEM 2022). [pdf]
Z. Li*, H. Ma, Y. Lv, H. Shen, "Joint extraction of entities and relations in the news domain.", The 18th International Conference on Advanced Data Mining and Applications(ADMA 2022). [pdf]
H. Ma*, Z. Li, H. Guo, "Using Noise and External Knowledge to Enhance Chinese Pre-trained Model.", The 34th International Conference on Tool with Artificial Intelligence(ICTAI 2022). [Accepted]
Note: * indicates the corresponding author.
Full list of publications in Google Scholar.
Projects
Network Data Analysis of Social Hotspot Events, Tongji University, Oct. 2021 – Dec. 2022
Collect discussion text data about hot events on social networks, and conduct statistics and analysis on information in text data.
Intelligence Campus, Communication University of China, Oct. 2020 – Apr. 2021
Deign and implement the large screen of scientific research, using Datav to comprehensively display the scientific research achievements of school.
Design data portals using Vue and Flask frameworks.
Genetic Programming Inferences Regular Expressions, Chinese Academy of Science, Sep. 2019 – Aug. 2020
Design a heuristic regular expression generator based on genetic programming.
Automatically generate an optimal regular expression that completely matches the positive example set and completely does not match the negative example set.
Construction of Knowledge Graph on Financial News Data Set, BJUT, Sep. 2019 – Aug. 2020
Responsible for annotating the news corpus and comparing with the result of manual annotation.
Automatic Class Check-in System Based on Face Recognition, BJUT, Sep. 2017 – Aug. 2018
Responsible for the user interface design of the system and the construction of convolutional neural network for face recognition using Caffe framework.
Education
M.E., Big Data Technology, Communication University of China, Sep. 2020 – Jun. 2023
Main Courses: Machine Learning, Design of Neural Networks, Digital Image Processing, Data Mining, Distributed Systems and Cloud Computing, Modern Software Engineering, Virtual Reality, Stochastic Processes.
B.E., Computer Science and Technology, Beijing University of Technology, Sep. 2016 – Jun. 2020
Main Courses: C Programming, Embedded Systems, Further Mathematics, Compilation Principles, Human-Computer Interaction, Software Engineering, Computer Composition Principles, Data Structures, Computer Networks, Operating Systems.
Awards
Postgraduate Academic Scholarship, Communication University of China, 2021
Outstanding Undergraduate Graduate of Beijing, Beijing Government, 2020
Excellent Student Cadre of Beijing University of Technology, Beijing University of Technology, 2019 & 2018 & 2017
University-level learning Excellence Award of Beijing University of Technology, Beijing University of Technology, 2019 & 2018 & 2017
Activities
Teaching Assistant, Communication University of China, Sep. 2020 - Jun. 2021
Guide new students to learn python programming and teach some study skills.
Assistant Mentor, Beijing University of Technology, Sep. 2017 - Jun. 2020
Led freshmen to adapt quickly to their new environment and helped them solve their study problems.
Student Union Officer, Student Union of Beijing University of Technology, Sep. 2016 - Sep. 2017
Communicate student discounts with companies and businesses near the school, and also solicit commercial sponsorship for the campus singer contest.
Work experience
Research Assistant, State Key Laboratory of Computer Science, Chinese Academy of Sciences Institute of Software, Mar. 2019 - Aug. 2020
Responsible for the research work of the Science and Technology Innovation Research Project of the Chinese Academy of Sciences "Genetic Programming Automatically Generates Regular Expressions".
Assisted several doctoral students in the group in algorithm design and experiments.