People in theoretical computer science stack exchange advises me to ask this question here. I ask the same problem in https://cstheory.stackexchange.com/questions/46668/examples-for-derandomization-via-small-sample-spaces and if you are interested in answers there, you can go to see it.
I read the book the Probabilistic Method and the lecture note Pseudorandomness to study techniques of derandomization and completed some of exercises.
I'm trying the technique of "Derandomization" for some algorithms, and I find some samples using the derandomization via small sample spaces and feel very interested.
To deepen the impression on derandomization via small sample space, I want to see more papers using that.