简历

FDU 李云帆 [Luke Li]

Skype +86-15821154370
Email 16302010002@fudan.edu.cn
Website http://liyunfan.fun
Fudan University 2016.09 - Expected 2021.05
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
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
DATA130005 Statistics: Principles, Methods and R (I)
DATA130004 Computational Statistics
DATA130009 Statistics: Principles, Methods and R (II)