MY STORY
About me
Hiya! Welcome to my website!
WORK Experience
06/2019 - 08/2019
Microsoft(China) | Intern
– Developed a news aggregator using Node.js, with Redis cluster and MongonDB.
– Used Requests+BeautifulSoup to crawl raw data from news and social media feeds, summarized the rules of web pages, used the regular expression to extract information concerning captions, contents, and pictures
– Employed CoreNLPParser, character recognition and image recognition to enhance the extraction efficiency and accuracy from 40% to 83%
– Assisted members to migrate the original crawler system to the distributed crawler system using Hadoop
– Participated actively in building a Twitter user graph using DFS to identify KOLs and pull their tweets as news sources
07/2018 - 08/2018
Jisuanke E-learning | Intern
– Led a team of interns to develop an online operation and management system
– Designed and built the MySQL database, used Django for backend development, developed and debugged modules concerning registration and login, basic information setting, course purchasing, and so on
RESEARCH ExperienceR
12/2020 - 05/2021
Chinese Text Summarization Based on Single Document | Graduation Project
– Focus on Abstract Text Summarization in Chinese
– Combined deep learning Seq2Seq+Attention model Pointer-Generator Network with Reinforcement Learning to improve semantics performance and the ROUGE Score on several Chinese data sets
– Designed model has increased the score of ROUGE-1, ROUGE-2, ROUGE-l by 6.97%, 15.66% and 7.73% respectively
05/2020 - 09/2020
Analysis and Optimization of Business Operation Data | Research Assistant
– Employed the Pandas to clean and convert original customers’ transaction data
– Applied K-means to classify transaction type, applied Apriori to mine relevant association rules between transaction types.
– Gave suggestions to increase 10% customer traffic based on the analysis
04/2020 - 06/2020
Design and Implementation of a Practice-taking WeChat Mini Program | Group Leader
– Used Scrapy in Python to crawl data from Leetcode, including questions, answers, categories, etc.
– Employed JavaScript to implement functions such as querying questions, discussing within groups, recommendations, etc
– Won the Second Price in North China Division, College Students WeChat Mini Program Development Competition
05/2020 - 09/2020
The Impact Factors and Consequences of Members’ Participation in SME-managed Online Brand Community | Research Assistant
– Constructed the theoretical model, raised a new presumption of the factors influencing the brand loyalty
– Designed and modified questionnaires, selected practicable samples, used SPSS to implement the factor analysis
– Analyzed the role of new factors played in the online brand community.
Education
2021-Present
USC-ECE
- Master of Machine Learning and Data Science
2016-2021
Nankai University
- Bachelor of Software Engineering
- Bachelor of Law(Minor)
Publication
Binhui Wang, Liuliu Chen, Huijing Niu, (2018) The Impact Factors and Consequence of Members’ Participation in SME-managed Online Brand Community, 2nd International Conference on Data Science and Business Analytics, ICDSBA2018
activities
09/2017 - 09/2018
Director | Student Activity Department, Student Union, College of Software, NKU
– Planed and organized the computer skills training seminars, invited experts in artificial intelligence and machine learning to give lectures to students
– Collected and collated students’ opinions and requirements of on-campus resources, coordinated with school leaders to formulate optimization strategies
– Assisted the College of Software in earning the honor of “Excellent College for Protection of Student’ Rights and Interests”
01/2018 - 01/2018
International Volunteer, Cambodia
– Taught students in international charity school English and fundamental computer skills enabled 16 students in my class to proficiently use basic software like Words
– Obtained the Certificate in International Volunteering
Skills
Language
Python
86%
C++
80%
SQL
64%
JS & HTML & CSS
50%
Packages
Pytorch & TensorFlow
72%
Pandas & Matplotlib
52%
Scrapy & BeautifulSoup & requests
90%
NLTK & CoreNLP
76%
Models
CNN, RNN, LSTM...
81%
NLP(Seq2Seq+Attention, Word2Vec...)
77%
Statistic(K-Means, PCA... )
85%
Contact
- https://liuliuch.com/
- eleanorliuliu@gmail.com