This blog has two sides.
One is technical. It covers deep learning research, machine learning engineering, and the small tricks that make a developer’s day smoother. A recurring feature is a bilingual interview Q&A series — research-level deep dives into the architectures, methods, and ideas shaping modern AI. There are also practical notes on tools, workflows, and common problems worth writing down once so you never have to solve them twice.
The other is personal. Classical Chinese literature, film, and passages worth keeping. These sit quietly alongside the technical content — a reminder that good thinking isn’t confined to one domain.
Both sides share the same goal: distill what matters, cut the rest.
Posts are written in English, Chinese, or both.