Confessions of a researchaholic

2013-06-02

How to do a paper fast-forward

Filed under: Real — liyiwei @ 12:39 am
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Giving a good paper presentation is already hard, but at least you have 20 minutes’ worth of wiggle room. Giving a good paper fast-forward is even harder, because you have only 40 seconds. Even one tiny mistake can ruin you.

Goal

The most common mistake is trying to explain too much (I like to call it “geek’s asymmetry”). Trust me; almost nobody will care, and certainly nobody will understand, within 40 seconds and among 100+ presentations.

The fast-forward is pure advertisement with one main goal: get people read your paper and attend your talk.
On top of that, if you are really good, show what a cool and interesting guy you are. But do not even try unless you are absolute sure. (A good rule of thumb is this: are you already cool and interesting?)

Design

Write down the script first, so that you know what you want to talk about and you can comfortably utter the sentences within the limited time frame. Practice and rehearse a sufficient number of times, especially if you lack verbal proficiency. Only design your slides after the script is in a stable condition. This is extremely important. If you do it the other way around, and I know this is what most people would do, you are making a grave mistake, because (just like what movie critics would say) you are letting the effects get in the way of the substance.

Do not force people read your slides. Use pictures and animations instead of texts to explain your points.

Practice

After having both the script and the slides, practice, until you can do it perfectly during sleep.

2013-05-25

Ideas are not like cakes

Filed under: Real — liyiwei @ 5:21 pm
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I used to dish out ideas like cakes to those who are good all-around but just cannot figure out what they want to do. Recently, I realized this is a mistake.

Ideas are not like cakes that can just be given out. Rather, they are more like dresses that better be tailored individually.

This applies to all kinds of people.

Those who can already create ideas do not need to be told what to do anyway. They just need guidance. This is the best case scenario.

Some have potential to create ideas but cannot do right now due to lack of proper training or motivation. The goal is to kindle their autonomy. Giving cakes is not going to achieve this, and these might not be what they like to eat anyway. The right thing to do is forcing them to think. The process could be frustrating sometimes, but worth the end result.

Those who lack fundamental abilities to create ideas are not suitable for research anyway. Giving them ideas just wastes everyone’s time (and the ideas). They should switch to alternative career paths as early as possible.

A proper timing to share ideas is after someone already figures out a related direction.

2013-05-22

Autonomy

Filed under: Real — liyiwei @ 9:51 am
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I bumped into this interesting and concise article a few days ago. I encourage you to read it in whole and watch the embedded video.

Basically, it echoes my personal experiences quite well, across product groups, industry labs, and academia. For jobs that require any dose of innovation, the success predominantly depends on individual creativity, perseverance, and autonomy, rather than knowledge, smartness, or even intelligence.

I have a very simple rule of thumb to know, at an early stage, whether a student is suitable for research, or any form of innovative work. It is a bit like push and pull. If I push you a bit (e.g. suggesting you to try an experiment) and you can react back with at least something I did not know a priori (e.g. a surprising result or a better way to do that experiment), you are probably good. Otherwise, you are just a robot that needs to be told exactly what to do. It is a bit better, but not fundamentally different from, say, strawberry pickers or assembly line workers.

Autonomy is the main distinction between jobs in the past 2 millenniums (e.g. agriculture, manufacturing) and this new millennium (the so called knowledge economy). It is also the main reason behind the bifurcation of economic power, social class, and a lot of other things.

On a related note, a recent story deeply touched my heart. A previous unknown, 50+ years old mathematician, with stints in fast food restaurants, recently proved an elusive property of prime numbers that has been one of the longest standing math challenges.
I did not know this guy, but I bet he must have a tremendous amount of passion and perseverance to spend all the time and efforts to pull this off.

2013-05-21

Lvdi Wang visiting HK

Filed under: Real — liyiwei @ 4:41 pm
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[People usually send out email announcements for visitors. But I find it very boring. So I am going to take a different approach that is more interesting and fits my style better.]

Lvdi Wang, a MSR Asia researcher in computer graphics, is visiting Hong Kong from June 8 to June 12, 2013. If you are a faculty or student who would like to meet with him, let me know.

Here are some reasons why it is to your benefit to meet him, especially if you are a student, and more so if you are a student working with me now.

Lvdi is a very smart guy. In fact, he is one of the smartest students I have ever worked with. You can benefit a lot from discussing with him about your research.

He is also a very nice guy, nicer than the usual kind of smart guys who could make you a bit uncomfortable.

[Look at his publications and photos under his website for the two points above.]

He is not my longest collaborator, but likely knows my style well enough to give some *happiness* guide, especially to my internal students. (I am not saying anyone should have any grievance given my liberal style; how many professors out there allow their students to work anytime anywhere? But just in case.)

You might want to ask him about “nothing is impossible”. I am going to quote from his case if you ever tell me “it is not possible to accomplish that”.
😀

2013-05-18

Manage research code

Filed under: Real — liyiwei @ 12:55 pm
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Svn is my choice for revision control. I usually use c++ to write the core components, and perl/php/csh scripts to run them. More information can be found under http://svn.liyiwei.org/public/, which contains public domain code of some of my projects.

Those are all relative toy cases.
Real deals can be found in good tech companies.

The best research software practice I have personally experienced is in the NVIDIA GPU architecture group. Strictly speaking, it is development, but there is plenty research involved due to its cutting edge nature. And it worked. Tens or even hundreds of engineers can collaborate on the c-models for multiple versions and generations of GPUs, each with staggering complexity. The products shipped and nobody lost their mind as far as I know.

PS I always believe the tremendous benefits of having at least a few years industry experience before joining the academia.

2013-05-15

Manage research projects via paper drafts

Filed under: Real — liyiwei @ 4:04 pm
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I use paper drafts to manage my research projects including everything: writing, experiments, results, and communications. Other than external storage (e.g. Dropbox or Google site) for data that does not need fine-grained revision control, I never need anything else, like meetings or emails. So far, this mechanism has worked superbly well, for my team projects as well as single authored papers.

This is one of those things that are better experienced than told, but here is a brief description of what it is like.

First of all, you need to have some idea what a research paper is like. All you see are finished and polished products. However, few, if any, research paper is written in one pass. They all went through some iterative evolution process. And here is mine.

I usually start drafting up the abstract the moment I have the idea. Do not worry if it is immature. It should be, as otherwise the idea cannot be new. Just write it down. Do not worry about grammar or anything cosmetic. Just make sure you can understand yourself later.

Gradually add more materials to that paper draft, including everything you see in published papers like introduction, literature survey, algorithm descriptions, math equations, experimental results, as well as those you might not see, such as thoughts, discussions, failed experiments, and ideas for future works. I usually keep a main part that eventually becomes published papers, as well as a blog part keeping daily progress and discussions.

I use svn/git for revision control, and Latex for document source. I structure the files so that I can simultaneously compile multiple versions from the same set of source (with different flags), such as final.pdf for final submission and draft.pdf that contains everything, including discussions among co-authors.

Because I put everything in writing, I never need to be reminded what has been done, what is yet to be done, and who is doing what. I can concurrently manage a double digit number of projects without losing my marbles. I also can collaborate with anyone anywhere without any other forms of meetings, because all discussions can be conducted through the paper draft. For example, if I see a mistake in an equation, I correct it, and put a note nearby explaining what I have done and why. The other guy, who wakes up in another time zone 8 hours later, can see exactly what has happened. Even for my UI papers, one guy can record a short video (or better, the editing history) for another guy to replay.

I have provided a didactic case, for file structure, research methodology, and the revision history.
One day I might be able to share a real project repository. Everything will naturally make sense when you start working with me (or one of my academic descendants) on real projects.

2013-04-17

We are what we think we are

Filed under: Real — liyiwei @ 7:41 pm
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I heard some recent conversations among faculties about why they should not take the very top students because they might go somewhere else in the end.

WTF

If even you do not think you are the best, how could you make others believe in you?

I think I am as good as anyone out there, so my strategy is very simple: take (as my internal students) only those who are so good that I will regret for not taking. If they deflect to other places in the end, fine, because I will likely at least keep some of them. And even in the worst case I get no students, I can just single author SIGGRAPH papers. (I seriously miss the fun.) Or spend some time away living in Nepal. All these beat wasting time on not-so-good people, or worse, thinking I am one of them.

Why you should not do incremental research

Filed under: Real — liyiwei @ 7:04 pm
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Because (borrowing a metaphor from finance) doing incremental research is like picking up nickels in front of a running steamroller.

The steamroller is driven by folks who have been publishing on a specific topic recently.

You see (incremental) opportunities to improve on their direction, like nickels on the floor.

And you feel like picking up those nickels. Why not? They are right over there.

However, the steamroller is also on its way to get to the nickels. (An obvious point, but people are surprisingly ignorant to it, especially when they are focusing on the nickels.)

So the questions you should ask are: are you fast enough to beat the steamroller to the nickels? (This depends on your competitive advantage.) And in case you just barely make it, are you tough enough to keep running in front of that steamroller at least for a while? (You have to do some tough comparisons with competing methods.)

Meanwhile, there are golden nuggets elsewhere. They are hidden and harder to find, but they are far from the steamroller and a whole bunch of other people trying to pick up nickels.

I will let you decide where you want to go. If you want to pick up nickels, fine, but I will just sit there watching you running in front of that steamroller. I prefer to be the first guy finding the golden nuggets, and when others notice me, I am already moving on to other places.

2013-04-14

Creative collaboration

Filed under: Real — liyiwei @ 7:36 pm
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I found the TEDxBow talk by Lloyd Davis on “5 Open Secrets of Creative Collaboration” very interesting, in that it emphasized the importance of physical human connections (and trust) in fostering creative collaboration, which is entirely opposite to my methodology of minimizing physical human contacts.

The natural way to produce good ideas is to have a bunch of smart and creative people work together. This is the main (if not the only) reason for the success of top research institutions, as I have personally witnessed in Stanford and MSR.

The conventional method for collaboration is through physical proximity, implying that to work with top people you have to join them in a top institution.
I am not sure if this is the only or even the best way though. Personally I have not found physical proximity any better than remote collaboration; almost all my ideas were produced either entirely on my own or via collaborations with or inspirations from remote people. The current technology is already good enough for me to be (intellectually) connected to almost anyone I want. (People who shun technology are not likely to be very good anyway, at least in computer science.) Even serendipity, the main advantage of physical proximity, can be managed by remote collaboration; I actually found it more efficient to write down my ideas than rushing to tell people.

Another benefit for remote collaboration is that it provides more flexibility to fit people with different levels of intelligence and experience. Not everyone is smart enough to have productive face-to-face brainstorming, and when that happens, I usually find it a great waste of time. I would rather give them more time (and grace) to think through stuff remotely and communicate with me asynchronously.

But I do wonder if I can be more effective by mixing a bit physical collaboration with suitable folks. Will experiment and report.

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