Mingrun Jiang is a student from Yao class, Tsinghua University.
Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China
Cumulative GPA: 3.81/4.0, Major GPA: 3.92/4.0
Core Courses: Mathematics for Computer Science(4.0), Introduction to Computer Science(4.0), Introduction to Computer Systems(4.0), Computer Architecture(3.6), Algorithm Design(4.0), Algorithm Design and Complexity Analysis(4.0), The Art and Practice of Programming(4.0), Type-safe Modern System Practice(3.6), Numerical Analysis(4.0), Theory of Computation(4.0), Game Theory(4.0), Fundamentals of Cryptography(4.0), Quantum Computer Science(4.0), Database Systems(4.0)
Courses learned on the Internet: Reinforcement Learning (UCL Course on RL), Principles of Electric Circuits, Fundamentals of Digital Electronics Technology, Fundamentals of Analog Electronic Technology, Signals and Systems, Assembly Language Programming, Object-oriented Programming, Compiler Theory, Operating System
Advisor: Pro. Huazhe XU, Assistant Professor at Institute for Interdisciplinary Information Sciences, Tsinghua University
A robot is trained by manifold and RL to play the piano.
I expect to learn the research method in this project.
A project of Game Theory course.
Leading Instructor: Pro. Zhixuan FANG, Assistant Professor at Institute for Interdisciplinary Information Sciences, Tsinghua University
Extended the algorithm in the paper Deployed armor protection: the application of a game theoretic model for security at the Los Angeles international airport
The paper uses a Bayesian Stackelberg game model with a single type of leader and multiple types of followers, and reduced it to an MILP (mixed-integer linear programming) to solve it. In this project, we extended the algorithm to solve Bayesian Stackelberg games with multiple types of leaders and followers, and examined the performance.
Result: Wrote a paper Extension of the Game Theoretic Model for Security at the International Airport
An IOI National Training Team Homework.
Examined the use of Fractional cascading in a Classic Partition Problem.
Result: Published a paper On the Optimization of a Classic Partition Problem Using Fractional Cascading Algorithm in IOI2020 National Training Team Paper Collection . Became the IOI National Team member by defend of the paper and 6 contests.
Programming Languages and Tools: C/C++, JAVA , Python, PyTorch, MATLAB, Ripes, gem5
Standard English Tests: GRE: Q170, V154, W3