About Me

Catalogue
  1. 1. PhD Position Seeking
  2. 2. Research Interests
  3. 3. Education
  4. 4. Project & Research
  5. 5. Undergraduate Curriculum
  6. 6. Awards & Scholarship
  7. 7. Skills

Greeting! I’m Yihong Liu. My interest in MIS has sprouted in high school when I was watching the movie The Social Network and inspired by Zuckerberg, as an undergraduate who brought revolution to modern communication through building a social website. The innovative thought about employing information technology to link people online and make the world a big party really attracted me and motivated me stepping into this field. Thus, at that time I went insane about learning how to establish websites and host servers. I spent all my spare time in school library and book stores, self-teaching through reading programming books and trying to maintain BBS for my class. It is a challenging but influential field where I could utilize the most up-to-date technology to fulfill my curiosity of discovering the digital world and tackling the key issues encountered in various domains.

My interest in MIS continues to grow in my first machine learning class after I got to know the power and commercial value of Facebook. Different unsupervised and supervised algorithms in clustering or predicting record’s labels immediately capture my attentions. I cannot help learning more in-depth techniques and put them into practice. As my undergraduate progressed, I worked hard on basic mandatory courses (e.g. Mathematics and Data Structure) and I was screened to enroll in the Honors Program in School of Information Management and Engineering (SIME) at Shanghai University of Finance and Economics (SUFE), which provided me with higher level curriculum (e.g. Linear and NonLinear Programming, Advanced Operation Research and Stochastic Process).

The most valuable trait I learned from undergraduate study is always maintaining a thirst for knowing more. When I put what I learned in lessons into practice or try out new skills stated in the latest journals, I always find there are certain limitations of my current knowledge, which encourages me to discover more. Endeavored to review extensive literature and experiment various calculations, my efforts are rewarded as I made continuous progress. Besides the satisfaction I’ve earned, I realize that MIS is not merely about programming, importing modules and packages. As lifeblood of business, researchers in this field involve themselves in behavioral, technical, analytical and empirical sub-problems by recognizing and conceptualizing critical key questions and employing various methodologies across disciplines. They also strive to enable and empower individuals, organizations and society by bridging the gap between data and decisions. Inspired by my long-term career goal working as a specialist in this area, I make my short-term goal to enroll in a MIS PhD program to accumulate more advanced knowledge and practical skills. Looking forwards, I am passionate in applying machine learning and deep learning techniques to solve complex business problems and I want to be an excellent researcher and expert in MIS community, turning problems into opportunities.

PhD Position Seeking

I expect to complete my undergraduate by July 2019 and I am seeking a MIS PhD position for 2019-Fall. Feel free to contact me!

Research Interests

  • Social Network Analysis
  • MIS
  • Fintech

Education

  • 9.2015 - 7.2019, Bachelor, MIS, SIME, SUFE

Project & Research

Undergraduate Curriculum

I finished my curriculum in Junior and here’s an overall summary of my performance:

Academic Year Term Number Of Courses Avg. Scores Total Credit (30 Limit) GPA (4.0 Highest)
2015-2016 1 11 88.17 23 3.68
2015-2016 2 13 84.38 30 3.35
2016-2017 1 10 90.67 27.5 3.9
2016-2017 2 11 91.35 29.5 3.92
2017-2018 Summer School 2 96.5 2 4
2017-2018 1 5 94.25 12 4
2017-2018 2 4 88.1 10 3.7
School Summary 56 89.2 134 3.74
Summary Time:2018-07-22

Then it follows some profound courses performance from SIME honor program you might have interests in:

Academic Year & Semester Course Name Course Type Credit Final Grade Point
2017-2018 Summer School Time Series Analysis elective 1 100 4
2017-2018 2 Deep Learning elective 2 90 4
2017-2018 2 Investment Science elective 3 92 4
2017-2018 1 Operations Management I compulsory 3 90 4
2017-2018 1 The Frontier of Management Science elective 1 93 4
2017-2018 1 Machine Learning elective 4 96 4
2016-2017 2 Object-Oriented Program Design compulsory 4 93 4
2016-2017 2 Mathematical Statistics general + compulsory 3 88 3.7
2016-2017 2 Information System Analysis and Design compulsory 4 94 4
2016-2017 2 Advanced Operations Research compulsory 3 93 4
2016-2017 2 Stochastic Processes compulsory 3 92 4
2016-2017 1 Linear and Nonlinear Programming compulsory 3 90.2 4
2016-2017 1 Laboratory Course on Programming compulsory 3 92 4
2016-2017 1 Probability Theory general + compulsory 3 91 4
2016-2017 1 Database compulsory 4 95 4
2016-2017 1 Introduction to Information Systems compulsory 4 88 3.7
2015-2016 2 Data Structure compulsory 4 86 3.7
2015-2016 2 Linear Algebra general + compulsory 3 96 4
2015-2016 1 Computer Programming compulsory 2 92 4

Awards & Scholarship

  • 2017-2018 Semester, the Third Prize of People’s Scholarship in SUFE
  • 2018, Prof. Ye Yinyu Scholarship
    Prof. Ye & Me
  • 2016-2017 Semester, the Second Prize of People’s Scholarship in SUFE
  • 2016-2017 Semester, Excellent Learning Performance Prize in SUFE
  • 2015-2016 Semester, the Third Prize of People’s Scholarship in SUFE

Skills

  • Coding: C++, Java, Python, R, MATLAB, Latex
  • Database: SQL
  • Photoshop, Premiere