原本 4 月份就该开始做月度总结，但被我一直拖到了现在。这是我第一次做月度总结，想了很多，但我意识到其实没必要都记录下来，所以便结合这个月的实践和反思，简明扼要地谈谈对这个月的生活学习科研安排与实践的思路和效果，并制定下个月的学习思路。
慎终如始，则无败事。 (《老子 · 德经》)
To improve efficiency, it is time to set a goal. September 9th is the target date. In addition, I will try my best to catch up with AAAI2024. There are only 81 days left, so I'll need to work hard.
Here's a summary of last week's progress.
Here is the progress of last week.
I came to HKUST GuangZhou campus this Tuesday. This is a beautiful university and the group members are very kind. I like conducting research here! Although it is very busy this week, I learned a lot and enjoyed everything. This is a good state for me.
However, one of the mistakes I made is that I did not balance my time and did not achieve my goal as planned. Besides, I need to adjust my current timetable to make sure I can finish everyday self-study tasks as well in this new environment.
In the last two weeks, I had to take a physical examination and move house, which reduced my study time. After returning home, I prepared for an interview with Prof. Liang and learned more details about the application.
I also participated in LCCUP 2023 Spring and ranked in the top 6%, which proved that my coding skills had improved after two months of persistent practice.
I have been very nervous this week after failing the interview with Prof. Chen. This is not a good state for me. While walking around the park, I found several things that are very important to me.
From this post, I will use English to write blogs including weekly summary and technical blog. I am going to summarize this week and plan for the next week a little earlier, as I found many shortages during today's interview. Next week, I will try my best to improve myself. Time and tide wait for no man. I must seize each opportunity.
Update: All the reading notes will be posted on my personal notebook.
受到一位前辈启发，决定从今天开始每天至少精读一篇 paper 并做简单总结记录，以备将来快速检索。论文类型不限，可以是领域内的重要工作，也可以是其他领域的基础工作。目前准备结合自己的需求，先从感兴趣的老师组里的工作开始读起。
- Title: LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation
- Conference: ICLR'23 International Conference on Learning Representations (Spotlight)