<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Drug Discovery |</title><link>https://caiyf03.github.io/tags/drug-discovery/</link><atom:link href="https://caiyf03.github.io/tags/drug-discovery/index.xml" rel="self" type="application/rss+xml"/><description>Drug Discovery</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Sep 2022 00:00:00 +0000</lastBuildDate><image><url>https://caiyf03.github.io/media/icon_hu_702a800cd775dbac.png</url><title>Drug Discovery</title><link>https://caiyf03.github.io/tags/drug-discovery/</link></image><item><title>YesAI Lab, ShanghaiTech University</title><link>https://caiyf03.github.io/internships/shiye/</link><pubDate>Thu, 01 Sep 2022 00:00:00 +0000</pubDate><guid>https://caiyf03.github.io/internships/shiye/</guid><description>&lt;h2 id="overview"&gt;Overview&lt;/h2&gt;
&lt;p&gt;&lt;strong&gt;Research Member&lt;/strong&gt;
-ShanghaiTech University, 2022 – 2025*&lt;/p&gt;
&lt;h3 id="generative-modeling-research"&gt;Generative Modeling Research&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;Conducted research on diffusion-based generative models for image synthesis, image restoration, and controllable generation.&lt;/li&gt;
&lt;li&gt;Participated in projects spanning computer vision and small-molecule generation under structured optimization objectives.&lt;/li&gt;
&lt;li&gt;Explored model architecture design, training strategies, and generation-quality enhancement techniques.&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="academic-research-workflow"&gt;Academic Research Workflow&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;Participated in the complete lifecycle of top-tier conference publications, including literature review, problem formulation, model design, experimentation, and manuscript preparation.&lt;/li&gt;
&lt;li&gt;Co-authored a peer-reviewed publication as the third author.&lt;/li&gt;
&lt;li&gt;Accumulated three years of continuous research experience in generative modeling and deep learning.&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id="experimental-development"&gt;Experimental Development&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;Reproduced and extended recent research papers in diffusion models and generative learning.&lt;/li&gt;
&lt;li&gt;Designed model improvements and conducted hyperparameter optimization for training stability and generation quality.&lt;/li&gt;
&lt;li&gt;Performed systematic analysis of model convergence behavior and output fidelity.&lt;/li&gt;
&lt;/ul&gt;
&lt;hr&gt;</description></item></channel></rss>