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32 | 32 |
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33 | | - <meta name="author" content="Yuxuan Wu" /><meta name="description" content="Hello there - welcome to my personal webpage! |
34 | | -My name is Yuxuan Wu. I'm a second-year PhD student of Music X Lab at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), advised by Professor Gus Xia and Professor Bhiksha Raj. |
| 33 | + <meta name="author" content="Yuxuan Wu" /><meta name="description" content="Hello there - welcome to my homepage. |
| 34 | +My name is Yuxuan Wu. I'm a PhD student at Music X Lab of Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), advised by Professor Gus Xia and Professor Bhiksha Raj. |
35 | 35 | AI emerges not only for music but also from it. My research interest lies in self-supervised learning and interpretable representation learning, as well as their applications in audio and music. The core of my research is inspired by the hierarchical nature of human perception, thinking, and communication, with music as their most intriguing manifestation. Building on this, I am dedicated to researching AI that more closely resembles human intelligence, enhancing both AI systems' effectiveness and human artistry. |
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37 | 37 |
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64 | 64 | "datePublished": "2022-10-02T07:45:57-04:00", |
65 | | - "dateModified": "2025-08-07T16:24:28+04:00", |
| 65 | + "dateModified": "2025-10-08T15:05:55+04:00", |
66 | 66 | "url": "https://irislucent.github.io/", |
67 | | - "description": "Hello there - welcome to my personal webpage!\nMy name is Yuxuan Wu. I'm a second-year PhD student of Music X Lab at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), advised by Professor Gus Xia and Professor Bhiksha Raj.\nAI emerges not only for music but also from it. My research interest lies in self-supervised learning and interpretable representation learning, as well as their applications in audio and music. The core of my research is inspired by the hierarchical nature of human perception, thinking, and communication, with music as their most intriguing manifestation. Building on this, I am dedicated to researching AI that more closely resembles human intelligence, enhancing both AI systems' effectiveness and human artistry.\n", |
| 67 | + "description": "Hello there - welcome to my homepage.\nMy name is Yuxuan Wu. I'm a PhD student at Music X Lab of Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), advised by Professor Gus Xia and Professor Bhiksha Raj.\nAI emerges not only for music but also from it. My research interest lies in self-supervised learning and interpretable representation learning, as well as their applications in audio and music. The core of my research is inspired by the hierarchical nature of human perception, thinking, and communication, with music as their most intriguing manifestation. Building on this, I am dedicated to researching AI that more closely resembles human intelligence, enhancing both AI systems' effectiveness and human artistry.\n", |
68 | 68 | "image": "https://irislucent.github.io/icons/apple-touch-icon.png", |
69 | 69 | "author": { |
70 | 70 | "@type": "Person", |
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90 | 90 |
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91 | 91 | <meta property="og:title" content="Yuxuan Wu - Home" /> |
92 | | -<meta property="og:description" content="Hello there - welcome to my personal webpage! |
93 | | -My name is Yuxuan Wu. I'm a second-year PhD student of Music X Lab at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), advised by Professor Gus Xia and Professor Bhiksha Raj. |
| 92 | +<meta property="og:description" content="Hello there - welcome to my homepage. |
| 93 | +My name is Yuxuan Wu. I'm a PhD student at Music X Lab of Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), advised by Professor Gus Xia and Professor Bhiksha Raj. |
94 | 94 | AI emerges not only for music but also from it. My research interest lies in self-supervised learning and interpretable representation learning, as well as their applications in audio and music. The core of my research is inspired by the hierarchical nature of human perception, thinking, and communication, with music as their most intriguing manifestation. Building on this, I am dedicated to researching AI that more closely resembles human intelligence, enhancing both AI systems' effectiveness and human artistry. |
95 | 95 | " /> |
96 | 96 | <meta property="og:url" content="https://irislucent.github.io/" /> |
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239 | 239 | <div class="post-body e-content"> |
240 | | - <p>Hello there - welcome to my personal webpage!</p> |
241 | | -<p>My name is Yuxuan Wu. I'm a second-year PhD student of <a href="http://www.musicxlab.com/#/" target="_blank" rel="noopener">Music X Lab</a> at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), advised by Professor Gus Xia and Professor Bhiksha Raj.</p> |
| 240 | + <p>Hello there - welcome to my homepage.</p> |
| 241 | +<p>My name is Yuxuan Wu. I'm a PhD student at <a href="http://www.musicxlab.com/#/" target="_blank" rel="noopener">Music X Lab</a> of Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), advised by Professor Gus Xia and Professor Bhiksha Raj.</p> |
242 | 242 | <p><strong>AI emerges not only for music but also from it.</strong> |
243 | 243 | My research interest lies in <strong>self-supervised learning</strong> and <strong>interpretable representation learning</strong>, as well as their applications in audio and music. The core of my research is inspired by the hierarchical nature of human perception, thinking, and communication, with music as their most intriguing manifestation. Building on this, I am dedicated to researching AI that more closely resembles human intelligence, enhancing both AI systems' effectiveness and human artistry.</p> |
244 | 244 | <!-- I'm a first-year PhD student in [Music X Lab](http://www.musicxlab.com/#/) at Mohamed bin Zayed University of Artificial Intelligence, supervised by Professor Gus Xia and Professor Bhiksha Raj. |
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273 | 273 | <div class="updated-badge-container"> |
274 | | - <span title="Updated @ 2025-08-07 16:24:28 +04" style="cursor:help"> |
| 274 | + <span title="Updated @ 2025-10-08 15:05:55 +04" style="cursor:help"> |
275 | 275 |
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