How to Plan a Trip

How to Plan a Trip

In May – July, 2017, I kicked off a solo trip to Asia. It was a huge planning project, and I would like to share my planning process for this trip in this blog post.

Choosing a Destination

For me, I did not even know where I wanted to go. I had a ton of destinations on my to-go list, but I had no idea which ones to pick, where to start, and how to arrange the route. The only thing I knew was that, I finally graduated, I needed to do a grad trip.

First, the most important question to ask is what is your purpose of this trip. Is this for exploring new cultures & local experiences, relaxation, or food? Do you like big cities, small towns, beaches, or mountains? Do you like to walk? Do you drive? How many hours would you feel comfortable to be outside? Usually, if you end up in a big city, then you’ll likely be taking the public transitions, so be prepared to know how to read their map and subway schedules, etc. If you end up in outdoors (e.g., national park), then you’ll likely be driving around, so make sure that you get your international driver’s license if necessary. Also, there’s a big difference between travel and vacation. Generally speaking, traveling is much more energy consuming and tiring, and requires long day walkings, while vacation typically involves relaxation, sitting by the beach reading a book, doing water sports, etc. Think about these questions and do some research online, and you’ll find that your endless list of destinations will shrink quite a bit!

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A Brief Overview of Machine Learning

A Brief Overview of Machine Learning

This blog post is going to be a compilation of most common machine learning concepts for those who are getting started on machine learning.

First of all, the relationship between the AI, ML, and deep learning:

Machine Learning

In one sentence: machine learning is an approach to achieve artificial intelligence, and deep learning is a subfield of machine learning.

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My Solo Trip To Asia

My Solo Trip To Asia

This is my collection of transportation cards from 6 countries and regions. Some of the memories are starting to fade away. It feels as if beautiful bubbles that appeared in another world in my dreams. I know not if many years later, I’ll still have the guts to grab a backpack and start a journey on my own. But at least I can proudly say that, when I was young, I did something that I think is really cool.

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My Pinterest Internship Experience

My Pinterest Internship Experience

As many of you may have already known, I spent two internships at Pinterest (Winter 2016 and Fall 2016), and I’m returning soon to be a full time. Pinterest has stopped recruiting for winter and fall interns, and I was very lucky that I was just in time for the last batch. The two internships I had there were the most influential ones I had during my undergrad studies, and in this blog post I would like to share what I learned there, as well as the fun I had there!

Internship #1

The reason why I said that my Pinterest internship experience was the most influential one is because they really trust their interns, give them big and cool projects, and encourage them to innovate. For my first internship there, I had the full responsibility to write a distributed data pipeline to generate training data for our object detection model from raw user data. Something like this:

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(The bounding boxes on the left are generated by users, and the bounding boxes on the right are the predictions on object locations)

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My Interview Experience in Silicon Valley | Junior

My Interview Experience in Silicon Valley | Junior

This is a brief overview of my experience in internship-hunting for an SE position in Silicon Valley during my junior year. I had two co-op terms during my junior year, and I ended up going to Google for the first one, and Pinterest for my second one. However, I’m not sharing interview questions due to NDA in this article, but I would like to share the recruitment processes and my feelings towards each company.

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