简历
FDU 李云帆 [Luke Li]
Skype | +86-15821154370 |
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16302010002@fudan.edu.cn | |
Website | http://liyunfan.fun |
Fudan University 2016.09 - Expected 2021.05 |
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Software Engineering==transferred to Data Science in 2018 |
Educational experience and honors
TOEFL:112; GRE:326+3.5 ; CET-6: 637
GPA: 3.25/4.0
Second author of Combined priority and path planning with a double-layer structure for multiple robots
2018 whole year, Teaching Assistant for “ Introduction to computer systems“ (adaptation of CS213)
Fall of 2018, Exchange experience at the *University of California , Santa Cruz (UCSC) *
2017.03 【Clover Software Development Innovation Competition】 Third Prize
2017.04 【* CTF Information Security Competition】 Star of the Future Award & Third Prize
Member of ****** CTF team of Fudan University, 2017-2018
2017.11, Third Prize - Fudan University Scholarship
I was the Minister of Academics of the Students' Union under department of Data Science since fall 2019.
Intern and Research Experience
Fall 2020. Research intern at Prof. Qixin Cao's RobotLab. Finished an article with Haili Wangon path planning for multi-robot scene as the second author. And is now in charge of the smart-rehabilitation-system project.
Spring 2019. Research intern at Prof. Yang Xu's Future Network Innovation Laboratory. Began to work on ways to model cache replacement algorithms to speed up simulations, to recognize request patterns and to find ways (mainly cache pollution attacks) to disrupt the locality of CDNs and corresponding countermeasures.
Fall 2017 and Spring 2018. Research intern at System Security Lab under supervision of Prof. Yuan Zhang about the topic of Javascript RFCs through vulnerable WebView component in android systems.
Summer 2017. Backend engineer internship at ChenXi studio. I helped with the development of a web app for the school that involves generating and returning user-information-related-pictures, had 600+ users.
Self-evaluation
Highly interest driven and self-motivating.
Strong learning abilities; strong sense of planning.
Pressure proof;highly resolved and self-disciplined; assiduous towards research.
Skills and Interests
Self learned CS231nand Pytorch tutorial
Excellent programing skills. Namely, proficiency in Java and Python; familiar with C++ and R, used JS and PHP before.
Currently interested in computer vision and robotics.
In-school project experience
2016.012 Programming A
Project name: the game of the arena chess
100% completion, the realization of the JavaFX-based GUI, the corresponding user mouse and keyboard operation.
2017.12 Object-Oriented Design
Project name: 2048 games
A C++ QT-based GUI2048 game, using depth search to achieve AI functionality.
2017.06 Introduction to Web Applications
Project name: Image sharing website
A web interface. PHP + MySQL as backend, frontend HTML, CSS, JavaScript, user authentication with cookies, encryption using hashing with salt.
2017.12 Data Structure and Algorithm Design
Project name: Chess AI
min-max search, alpha-beta pruning, search layer: 4.
2017.12 Computer System Foundation (2)
Project name: CLI multi-threaded chat room
thread pool monitoring message, specify ip+port to achieve message transmission.
2018.06 Software Engineering (Group Work)
Project name: Calendar Notepad
This course focuses on design patterns and code refactoring. Responsible for backend development.
2018.06 Computer Graphics
Project name: WebGL project
Draw a scene with WebGL, user keyboard event to achieve camera perspective change and omnidirectional movement, realize keyboard event control object visibility, realize keyboard event control transformation.
2018.06 Neural Network and Deep Learning (Group Work)
Project name: Chinese ancient poetry generation
Based on TensorFlow framework, using LSTM.
Fall 2018 /
exchanging in UCSC, no projects
2019.06 Distributed Systems
Project name: New York Taxi Data Analysis
Doing massive data analysis on Spark.
2019.06 Advanced Data Science
Project name: Turkish population data analysis
Doing massive data analysis on Spark. Machine learning algorithms applied.
2019.06 Artificial Intelligence (Group Work)
Project name: Gomoku on piskvorkGomoku agent implemented with MCTS
ADP & Threat-space search applied.
2019.06 Social Network Mining (Group Work)
Project name: Movie recommendation algorithms for users
Using web crawlers to gather data (from Douban) and multiple recommendation algorithms to make reasonable choices of recommendation to users.
2019.06 Statistical machine learning (Group Work)
Project name: [Kaggle] Box office prediction
Using LightGBM for prediction. [Kaggle]Project name: Bilibili Data AnalysisUsing web crawlers to gather data (from Bilibili) for Data Analysis on video uploaders.
2019.06 Financial Time Series in Data Mining (Group Work)
Project name: Residential electricity usage data analysis
Using DTW for time series classification and LSTM for time series prediction. Data from Bureau of Shanghai Electric Power.
Project name: Time series analysis on search engine searches for keyword "Big Data"
Using web crawlers to gather data (from Baidu Index) to predict future market size of the "Big Data" industry.
The courses that I have finished until now :
Course Index | Course Name |
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Math and Physics | |
MATH120021 | Advanced Mathematics A I |
MATH120022 | Advanced Mathematics A II |
SOFT130039 | Discrete Math I |
SOFT130040 | Discrete Math II |
SOFT130079 | Linear Algebra |
PHYS120013 | College Physics B I |
PHYS120014 | College Physics B II |
PHYS120015 | Fundamental Physics Experiments |
English | |
ENGL110012 | Audio-visual English |
ENGL110061 | Essay Writing |
ENGL110066 | English for Business Communication |
ENGL110068 | Advanced English |
Programing | |
SOFT120001 | Programming A (Java) |
SOFT130002 | Introduction to Web Applications (PHP+JS+HTML+CSS) |
SOFT130004 | Data Structure and Algorithm Design (Python) |
SOFT130006 | Software Engineering (Java) |
SOFT130059 | Object-Oriented Programming in C++ |
Data Mining | |
DATA130001 | Financial Time Series in Data Mining |
DATA130007 | Social Network Mining |
DATA130014 | Advanced Data Science |
Machine Learning | |
DATA130008 | Artificial Intelligence |
DATA130011 | Neural Network and Deep Learning |
DATA130003 | Statistical machine learning |
Computer System | |
SOFT130056 | Introduction to Computer Systems I |
SOFT130057 | Introduction to Computer Systems II |
DATA130020 | Database and Implementation |
DATA130015 | Large-scale Distributed Systems |
Statistics | |
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DATA130005 | Statistics: Principles, Methods and R (I) |
DATA130004 | Computational Statistics |
DATA130009 | Statistics: Principles, Methods and R (II) |