About me

Qilian Yu

Recent Update: 03/15/2017

I am an engineer by weekday, a photographer by weekend. 

2014 FALL - 2016 SUMMER:
Since I first touched the engineering filed in my high school, I have matured into an engineer, who can not only use methods offered in school but also acquire new techniques to solve real-world problems. Several issued patents explain my ambition that I am eager to absorb any innovative stuffs and make use of them. I received my bachelor degree in Electrical Engineering from Zhejiang University, China, in 2014. At the beginning, I worked on wireless communication, information theory and coding theory. After I came to USA, my focus was shifted to:   
Besides, I am also a photographer. I started my photographer journey when I was still a high school kid, and so far I have spent near 10 years in photography. Like I am strongly aggressive in Engineering, I like to try everything new in photograph techniques. I am not scared by the rain storm or tsunami, since I can show the thing others have never seen before and I can image how surprised viewers are when they see my works. The only thing I want to show you is how beautiful the world is. 

Educational Details

  • Ph.D. in Electrical Engineering, College of Engineering, University of California - Davis. (GPA - 4.0/4.0)
    1. Artificial Intelligence, Scalable Machine Learning, Game Theory, Theory of Computation, Fuzzy System & Set Theory, Data Structures & Prog, Software & Obj-Orient Prog, System Theory. 
  • Ph.D. in Electrical Engineering, Dwight Look College of Engineering, Texas A&M University. (GPA - 4.0/4.0)
    1. Linear Network, Optimization, Distribution Theory, Convex Optimization, Information Theory, Stochastic System, Graph Theory, Data Science of Communication Network, Data Mining and Analysis, Theory of Inference.
  • Online Certificates: Machine Learning (Cloudera), Introduction to Hadoop and MapReduce (Udacity), Data Analysis (Udacity), Data Analysis and R (Udacity), A/B Testing (Udacity), Swift Programming Syntax (Udacity), Relational Databases (Udacity), Machine Learning (Udacity), Reinforcement Learning (Udacity)
  • Bachelor of Engineering (B.E) in Electrical Engineering, College of Information Science & Electronic EngineeringZhejiang University, China, GPA - 3.6/4.0)

Professional Experience

1. Hardware Engineer Intern at Fujian Star-Net Communication Company, China (2012)
2. Research Assistant in Zhejiang University, China (2013-2014)
3. Research Assistant in Texas A&M University, USA (2014-2016)
4. Research Assistant in University of California, Davis, USA (2016-now)
5. Teaching Assistant in University of California, Davis, USA (2017-now)
7. Session Chair for Emerging Technologies, Architectures and Services, WCNC 2017 (March, 2017)


1. Low-delay Progressive Decoding Method of Rateless Code (CN 20141035606)
2. Data Segmenting and Packaging Method for Physical Layer Rateless Code Transmission (CN 20141035980)
3. Stop-wait Method for Physical Layer Rateless Code Transmission (CN 201410135143)
4. Adaptive Pipeline Method for Physical Layer Rateless Code Transmission (CN 201410136267)
5. Pipeline Method for Physical Layer Rateless Code Transmission (CN 201410135621)
6. Information Sharing System based on Bar Code Identification (CN 202677457)
7. Learning Assistant based on Wireless Networking and Radio Frequency Identification (CN 201220430153)
8. Schoolbag Intelligent Management Device (CN 200720008541)


1. L. Zhang, Z. Zhang, X. Wang, Q. Yu, and Y. Chen, “On the puncturing patterns for punctured polar codes,” in 2014 IEEE International Symposium on Information Theory (ISIT),. IEEE, 2014, pp. 121–125. 
2. Q. Yu, E. L. Xu, and S. Cui, "Submodular maximization with multi-knapsack constraints and its applications in scientific literature recommendations," in 2016 IEEE Global Conference on Signal and Information Processing(GlobalSIP),. IEEE, 2016.