oliviaweng.github.io/index.xml at master · oliviaweng/oliviaweng.github.io · GitHub

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    <title>Olivia Weng</title>
    <link>http://oliviaweng.github.io/</link>
    <description>Recent content on Olivia Weng</description>
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    <item>
      <title>On taking walks after lunch</title>
      <link>http://oliviaweng.github.io/blog/lunch-walks/</link>
      <pubDate>Fri, 29 Nov 2019 16:57:20 -0500</pubDate>

      <guid>http://oliviaweng.github.io/blog/lunch-walks/</guid>
      <description>Dear reader, Taking walks after lunch, mostly alone but occasionally with friends, has been one of the best decisions I&amp;rsquo;ve made in college. I used to approach college with a keep-your-foot-on-the-gas-for-the-love-of-all-that-is-good mentality. Not working was bad and a waste of time. Then the unsustainability of it all hit me around my third year. It was only halfway through the year, and I woke up every day feeling burned out, worn out.</description>
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      <title>About</title>
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      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>

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      <description>Hello! I&amp;rsquo;m Olivia. I&amp;rsquo;m a sixth-year PhD candidate in Computer Science working with Professor Ryan Kastner at UC San Diego. My research is at the intersection of artificial intelligence and embedded systems. My work uses hardware-software co-design to create efficient, fault-tolerant computer architectures for neural networks at the edge. My PhD was supported by an NSF Graduate Research Fellowship.
Before coming to UCSD, I received my BS in Computer Science at the University of Chicago, where I worked with Professor Yanjing Li on mitigating cache side-channel attacks and Professor Andrew A.</description>
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      <title>Projects</title>
      <link>http://oliviaweng.github.io/projects/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>

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      <description>PrioriFI: Efficient Fault Injection for Edge Neural Networks ASPLOS&#39;26
As neural networks (NNs) are increasingly used to provide edge intelligence, there is a growing need to make the edge devices that run them robust to faults. Edge devices must mitigate the resulting hardware failures to function correctly. In addition, edge NNs have strict constraints on power, energy, latency, throughput, memory size, and computational resources. Edge NNs require fundamental changes in model architecture, e.</description>
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      <title>Teaching</title>
      <link>http://oliviaweng.github.io/teaching/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>

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      <description>Systems Programming and Software Tools (UCSD CSE 29) [Summer 2025, Instructor of record with Joe Politz]
Computer Architecture: A Software Perspective (UCSD CSE 142L) [Fall 2021, Lead TA under Steve Swanson]</description>
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