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This web page is a collection of advices about how to do research and how to communicate effectively, primarily for computer graduate students in JDL.

Preface

  I would like to recommend some books and papers for you to improve your appreciation of research in general and to prepare better for your projects in particular.

  It goes without saying that maths is important to your success in research. Just like that there are two kinds of words in English, those for production and those for recognition, there seem to be two kinds of maths theories or tools, those for constructive solving and those for deeper understanding. For our purposes, optimization (including discrete and continuous) and statistics, are such powerful constructive tools. Even a moderate grasp of its classical concepts, results and methods can bring you to a higher level of efficiency and beauty. And for us specialists in computer science and engineering, algorithms, the bridge between maths and application, are our unique weapon with which we can do better than pure mathematicians and pure engineers. Therefore, if you have a feasible plan to study something about optimization, statistics and algorithms, you can lay the solid foundations of your research and development career for many years.

  These are my personal views and actually I am also in the first steps of this promising journey. My recommendation is to remind you of some important aspects of Ph.D. study in order to save your time. But it is crucial that you think hard yourself, for your Ph.D., and beyond.

— He Simin