Showing posts with label advice. Show all posts
Showing posts with label advice. Show all posts

Academic Resources

  


This is a curated list of resources related to PhD, doing research, writing, doing peer reviews, and career development, etc., which can be helpful for people at different stages of an academic trajectory from the github repository.

There are several ways you can engage with the list of resources if you like it.

  • Star the repo
  • Share the list
  • Suggest resources that you liked a lot but are missing from the list
  • Point out broken links of the resources

How to apply PhD


How to do that PhD


How to write


How to review


How to do research


How to develop your academic career

How to do research well? A summary of suggestions by outstanding researchers

Choosing a research topic

  • 3 R criteria (JIAWEI HAN, UIUC)
    • Real data
    • Real but not solved problem (also in [1])
    • Real solution
  • Do not follow trends
  • Particular subproblem that not everyone is working on (SEBASTIAN RUDER, INSIGHT)
  • Prefer tasks with open source implementation
  • Become the strongest person in that specific problem  [2]
  • Match the strength & weakness of your environment [1]

Doing Research (CHENGLIN LIU, Chinese Academy of Sciences)

  • Derive more sub-problems based on application needs
  • Every step can be a top-tier venue
  • Read a lot by finding the relationships between different methods, and use other methods to solve yours
  • Reading & experiment simultaneously
  • Writing early & improve experiment

Innovation Approaches (CHENGLIN LIU, Chinese Academy of Sciences)

  • Improve current methods
  • Change data representation
  • Change problem definition
  • Use other methods to solve your domain problem
  • Combine different methods to improve

[1] HOW TO HAVE A BAD CAREER IN RESEARCH, DAVID PATTERSON, BERKELEY
[2] Q&A WITH YOSHUA BENGIO, U. Montreal