This post documents my journey learning VERL (Volcano Engine Reinforcement Learning), a scalable and efficient reinforcement learning framework, through the lens of OpenOneRec’s implementation. Ope...
This is a new series of blog beyond my conference paper reading blog, in which I would summarize the paper that I found interesting form Arxiv IR section and share my learnings. In this first blog...
Fully Sharded Data Parallel (FSDP) is PyTorch’s approach to training large models that don’t fit in a single GPU’s memory. FSDP2 represents a significant redesign from FSDP1, with improved performa...
In this post, I would like to share some insights from the paper I have read in year 2025 and summarize some trends over the year. The One The best work I enjoyed this year is the One-series from...
In this post, I would like to summary the paper from Recsys 2025 and share some of my learnings. We would cover several topics such as sequence modeling, cross domain learning as well as LLM integr...
It has been a while since KDD 2025, finally I have had sometime to finish reading all papers that I interested in and summarize some of my learnings in this post 
. My primary focus is ...
前一阵子在得道 APP 上读完了这本《PyTorch 性能与显存优化手册》，感觉是一本很不错的 PyTorch Training 入门读物，很适合刚刚接触这个领域的新手小白来读；同时整本书也提供了一个 PyTorch Training 的优化大纲，可以作为一个引子来扩展去学习更加底层的知识和技术。 这篇帖子主要是我读的时候标记下来的一些知识点，并没有包含书籍里面的全部内容。强烈推荐大家去阅...
User sequence modeling has been a hot topic recently in recommendation system thanks to the advancement of transformer architecture and more powerful hardware. In this blog, I would like to have a ...
In this post, I would like to provide a simple summary on the papers I have read in the first quarter of 2025 and discuss some of my thoughts on recent trend regarding recommendation system. Here i...
In this post, I would like to discuss how to build slack, a very popular realtime messaging application, especially for group messaging (a.k.a channel) in cooperation messaging scenario. Functiona...