Confessions of a researchaholic

April 18, 2021

Users in the loop

Filed under: Real — liyiwei @ 6:31 pm
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Two great talks I watched today about having users in the loop for software desig, development, and monitoring.

https://arxiv.org/abs/2101.11218

April 16, 2021

Associative memory

Filed under: Real — liyiwei @ 4:12 pm
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Looking at this dithering technique today brought back memories of my previous work on blue noise sampling and the associative life, almost like traveling back in time.



March 7, 2021

OnAir logo

Filed under: Real — liyiwei @ 11:01 am
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I dreamed about this logo of an ongoing project among existing Adobe apps.

February 15, 2021

What I like to see in everything machine-learning paper

Filed under: Real — liyiwei @ 1:58 pm
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Does this problem require ML, or a hand-crafted method would be better (to control, debug, understand, implement, etc.)?

Is this better for a paper or just open source?

How did you come up with the architecture, and why?

November 27, 2020

What I most want to know about but is least described in research papers

Filed under: Real — liyiwei @ 11:34 am
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How people came up with their ideas!

November 3, 2020

Adobe internship

Filed under: Real — liyiwei @ 4:34 pm
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If you are an intern candidate who can (1) propose crazy ideas that nobody else can think off and (2) beat everyone else to accomplish that idea, contact me. 🙂

https://research.adobe.com/internships/

October 26, 2020

Research goal post

Filed under: Real — liyiwei @ 10:09 am
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In my personal experience, there are two ways to guide a research project: solving a specific problem with whatever solutions that work the best (based on a variety of criteria such as quality, speed, cost, etc.), and devising a novel idea that can span different problems, domains, and applications.

The problem-oriented approach happens more in engineering (which aims to solve practical problems) while the idea-oriented approach happens more in science (especially more theoretical fields like math which aim to formulate fundamental ideas behind a plethora of phenomena).
Solving a specific problem provides a clear goal and reduces the tendency to derail, while aiming for ideas is more likely to work after one has already worked on related problems so as to condense the experiences into the core forms.

October 21, 2020

What can be quantified can also be automated

Filed under: Real — liyiwei @ 10:00 am
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If the productivity of certain types of works can be quantified, it can also be optimized and thus automated.

Instead of performance evaluation, such measures are better used for identifying repetitive tasks potential for automation.

To achieve human-level intelligence, we probably need an AI framework very different from existing rule-based (e.g., Minsky) and data-driven (e.g., current ML) approaches.

September 2, 2020

Vertigo ceiling

Filed under: Real — liyiwei @ 9:07 pm
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During vertigo, the eyes can spin around following the incorrect signals sent from a faulty vestibular system.
The effect can be reduced by VR: track the eye movements, classify whether they are caused by vertigo, and adjust the display accordingly (e.g., move the visual field with the spinning eye gaze).

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