<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LGTorch |</title><link>https://caiyf03.github.io/tags/lgtorch/</link><atom:link href="https://caiyf03.github.io/tags/lgtorch/index.xml" rel="self" type="application/rss+xml"/><description>LGTorch</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Fri, 15 May 2026 00:00:00 +0000</lastBuildDate><image><url>https://caiyf03.github.io/media/icon_hu_702a800cd775dbac.png</url><title>LGTorch</title><link>https://caiyf03.github.io/tags/lgtorch/</link></image><item><title>ByteDance - Douyin Ads</title><link>https://caiyf03.github.io/internships/zijie/</link><pubDate>Fri, 15 May 2026 00:00:00 +0000</pubDate><guid>https://caiyf03.github.io/internships/zijie/</guid><description>&lt;h2 id="overview"&gt;Overview&lt;/h2&gt;
&lt;p&gt;&lt;strong&gt;Model Engineering Intern&lt;/strong&gt;
&lt;em&gt;May 2026 – Present&lt;/em&gt;&lt;/p&gt;
&lt;h3 id="recommendation-model-migration"&gt;Recommendation Model Migration&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;Reconstructed and upgraded ByteDance&amp;rsquo;s internal RL-based retrieval recommendation models from TensorFlow to LGTorch, including dual-tower architectures, vector quantization (VQ), and multi-runstep graph execution pipelines.&lt;/li&gt;
&lt;li&gt;Designed sequence encoding tower decomposition, weight normalization alignment strategies, and write-back mechanisms for frequency estimation modules.&lt;/li&gt;
&lt;li&gt;Completed full-stack migration across sparse feature processing, dense computation, and online serving pipelines.&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="precision-alignment-infrastructure"&gt;Precision Alignment Infrastructure&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;Built a bidirectional forward/backward diff toolchain for end-to-end TensorFlow–LGTorch numerical verification.&lt;/li&gt;
&lt;li&gt;Resolved feature-slot registration mismatches, VQ codebook numerical deviations, and framework-specific execution inconsistencies.&lt;/li&gt;
&lt;li&gt;Achieved operator-level precision alignment between both frameworks; the associated technical documentation was classified as internal L3 confidential.&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="production-model-upgrade"&gt;Production Model Upgrade&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;Upgraded Douyin’s RL-based retrieval pipeline with logQ debiasing and improved sampled-softmax estimation over sharded candidate repositories.&lt;/li&gt;
&lt;li&gt;Achieved online performance comparable to the production baseline and successfully supported full-scale deployment.&lt;/li&gt;
&lt;/ul&gt;
&lt;hr&gt;</description></item></channel></rss>