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<!DOCTYPE HTML>
<html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>Roxanne Zhang</title>
<meta name="author" content="Jon Barron">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="stylesheet" type="text/css" href="stylesheet.css">
<link rel="icon" type="image/png" href="images/seal_icon.png">
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<p style="text-align:center">
<name>Roxanne Zhang</name>
</p>
<p> I am an enthusiastic engineer currently pursuing an MSc in Computer Science at UC San Diego. My long-term interest is to figure out techinical solutions to real-world problems. I have achieved my bachelor's degree at Shanghai Jiao Tong University, advised by <a href="https://www.cs.sjtu.edu.cn/~yzhu/">Prof. Yanmin Zhu</a>. </p>
<p>
I am conducting research on Conversational Recommender Systems using Large Language Models (LLM) in McAuley's lab, led by <a href="https://cseweb.ucsd.edu/~jmcauley/">Prof. Julian McAuley</a>, at UC San Diego. This summer, I am working as a Software Engineer Intern at <a href="https://www.playstation.com/en-us/">PlayStation</a> in Aliso Viejo, CA, focusing on cloud streaming.
</p>
<!-- <p>With over two years of experience and a strong interest in software engineering, data systems, and cloud computing, I am actively seeking a 24 Summer SWE intern position.</p> -->
<!-- <p>Additionally, I am excited to announce that I will be attending GHC 2024 in person this September. If you are interested in connecting with me, please feel free to reach out.</p> -->
<p style="text-align:center">
<a href="mailto:ruz049@ucsd.edu">Email</a>  / 
<a href="https://www.linkedin.com/in/roxanne-ruohan-zhang/">LinkedIn</a> / 
<a href="data/RoxanneZhang_Resume.pdf">Resume</a>  / 
<a href="https://scholar.google.cz/citations?hl=zh-CN&view_op=list_works&gmla=AJsN-F5Se125pAZ1I92JAl7pWcCLlSKwTU52OrjcEQfETbOuQsK3DbRQI6NHVOWbl0LEu8XY1wADoxWzEfAGNLWfusjGzv0BZiHLo-Uy8kB-lov396Fs7Ns&user=qeA-lJYAAAAJ">Google Scholar</a>  / 
<a href="https://github.com/wangshanyw">Github</a>
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<a href="images/square.jpeg"><img style="width:100%;max-width:100%" alt="profile photo" src="images/square.jpeg" class="hoverZoomLink"></a>
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<h1>Internships</h1>
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<h2>PlayStation - Sony Interactive Entertainment</h2>
<p><strong>Software Engineering Intern</strong></p>
<p>Will develop applications for A/B testing with Java and k8s for cloud streaming on a large-scale distributed system.</p>
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<img src="images/playstation.jpg" alt="playstation">
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<h2>McAuley lab, UC San Diego</h2>
<p><strong>Research Assistant</strong></p>
<p>Focusing on the fine-tuning and evaluation of Conversational Recommender system with LLM.</p>
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<h2>Gemsouls</h2>
<p><strong>Software Engineer Intern</strong></p>
<p>Developed an event management system using Go and React to handle transaction scheduling, including push notifications, promotional banner pop-ups, and more. </p>
<p>Implemented RESTful APIs using Django for the Gemsouls iOS app backend, supporting features like pop-up filtering, onboarding recommendations, and batch-adding friends.</p>
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<img src="images/gemsouls.jpg" alt="Gemsouls">
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<h2>Microsoft, Cloud+AI</h2>
<p><strong>Software Engineer Intern</strong></p>
<p>Developed an End-to-End Testing System to identify Azure alerting system malfunctions on its deployment pipeline, successfully preventing SEV2-level incidents, and ensuring system robustness & reliability.</p>
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<img src="images/azure.jpg" alt="Azure">
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<h2>Unity, Genesis Test</h2>
<p><strong>Software Engineer Intern</strong></p>
<p>Developed an End-to-End Testing System to identify Azure alerting system malfunctions on its deployment pipeline, successfully preventing SEV2-level incidents, and ensuring system robustness & reliability.</p>
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<img src="images/unity.jpg" alt="Unity">
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<h2>Data Interconnection & Intelligence Lab, SJTU</h2>
<p><strong>Research Assistant</strong></p>
<p>Proposed cross-domain recommendation frameworks including DCCDR, D3-CDR and CMVCDR.</p>
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<h1>Awards and Scholarships</h1>
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<!-- <heading>Awards and Scholarships</heading> -->
<p>Google Women Techmakers Scholarship (2020) (Top 3% applicants) </p>
<p>Shanghai Scholarship (2020) (top 1%)</p>
<p>Shanghai Jiao Tong University Honor Thesis (2023) (top 1%)</p>
<p>COSCO Shipping Scholarship (2021) (top 10%, excellent academic character and achievements)</p>
<p>School Scholarship B Prize at SJTU, 2020-2021 (top 20%) </p>
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<h1>Publications</h1>
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<p><papertitle>Disentangled Contrastive Learning for Cross-Domain Recommendation</papertitle></p>
<p><strong>Ruohan Zhang</strong>, Tianzi Zang, Yanmin Zhu, Chunyang Wang, Ke Wang, Jiadi Yu</p>
<p> <em>DASFAA 2023</em> <a href="https://dl.acm.org/doi/abs/10.1007/978-3-031-30672-3_11">[paper]</a> </p>
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<p><papertitle>A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions</papertitle></p>
<p>Tianzi Zang, Yanmin Zhu, Haobing Liu, <strong>Ruohan Zhang</strong>, Jiadi Yu</p>
<p><em>TOIS</em> <a href="https://dl.acm.org/doi/10.1145/3548455">[paper]</a></p>
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<p><papertitle>Contrastive Multi-View Interest Learning for Cross-Domain Sequential Recommendation</papertitle></p>
<p>Tianzi Zang, Yanmin Zhu, <strong>Ruohan Zhang</strong>, Chunyang Wang, Ke Wang, Jiadi Yu</p>
<p> <em>TOIS</em> <a href="https://scholar.google.com/citations?view_op=view_citation&hl=en&user=qeA-lJYAAAAJ&citation_for_view=qeA-lJYAAAAJ:qjMakFHDy7sC">[paper]</a></p>
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<p><papertitle>Dual Disentangled Knowledge Transfer for Cross-Domain Recommendation</papertitle></p>
<p>Tianzi Zang, Yanmin Zhu, <strong>Ruohan Zhang</strong>, Chunyang Wang, Ke Wang, Jiadi Yu</p>
<p> <em>TKDD</em> under review</p>
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<p><papertitle>Explicitly Modeling Relationships between Domain-Specific and Domain-Invariant Interests for Cross-Domain Recommendation</papertitle></p>
<p>Tianzi Zang, Yanmin Zhu, <strong>Ruohan Zhang</strong>, Jing Zhu, Feilong Tang</p>
<p><em>WWW Journal</em> under review <a href="https://www.researchgate.net/publication/362878471_Explicitly_Modeling_Relationships_between_Domain-Specific_and_Domain-Invariant_Interests_for_Cross-Domain_Recommendation">[preprint]</a></p>
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<h1>Projects</h1>
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<p><strong>Hackthon Project</strong></p>
<p><a href="https://github.com/wangshanyw/RTE-Innovation-Challenge-2020/tree/master/SDKChallengeProject/%E3%80%90%E9%81%87%E4%BA%8B%E4%B8%8D%E5%86%B3%E7%8C%AB%E5%92%AA%E5%93%B2%E5%AD%A6%E3%80%91%E5%9B%B4%E7%8C%AB%E6%9A%96%E5%A4%9C">KittenWarmingNight</a></p>
<p>A mini app provides secret chatting rooms for users to communication with others and professional mentors.</p>
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<p><strong>Course Projects</strong></p>
<p>Fast Matrix Multiplication on CPU & CUDA       </p>
<p>Developed optimized versions of blocked matrix multiplication for an ARM-based CPU and an NVIDIA T4 GPU.</p>
<!-- <br> -->
<p><a href="https://github.com/wangshanyw/PyTorch-CUDA-Operators-Implementation-and-Optimization">PyTorch-CUDA-Operators-Implementation-and-Optimization       </a></p>
<p>Implemented matrix multiplication kernel with matrix chunking and shared memory with ≤1.5% error, resulting in a 3% efficiency improvement.</p>
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<h1>Miscellaneous</h1>
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<!-- <heading>Miscellaneous</heading> -->
<p>I love <strong>tennis</strong> and have been a super fan of <strong>Rafael Nadal</strong> since I was 10.</p>
<p>Recently I got into fitness and enjoyed the lift weight pretty well.</p>
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Updated at Jun. 2024
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Thanks <a href="https://jonbarron.info">Jon Barron</a> for this amazing template
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