1(function () { 2 var homeHashes = ["", "#/", "#/home"]; 3 4 function normalizedHash() { 5 return window.location.hash.split("?")[0]; 6 } 7 8 function isHomeRoute() { 9 return homeHashes.indexOf(normalizedHash()) !== -1; 10 } 11 12 function link(href, label) { 13 return '<a href="' + href + '">' + label + "</a>"; 14 } 15 16 function iconLink(href, label, iconClass) { 17 return [ 18 '<a class="academic-icon-link" href="' + href + '" aria-label="' + label + '" title="' + label + '">', 19 '<i class="' + iconClass + '" aria-hidden="true"></i>', 20 "</a>", 21 ].join(""); 22 } 23 24 function publication(title, venue, description, href, image) { 25 return [ 26 '<article class="academic-pub">', 27 '<img class="academic-pub-thumb" src="' + image + '" alt="">', 28 "<div>", 29 '<h3 class="academic-pub-title">' + link(href, title) + "</h3>", 30 '<p class="academic-pub-meta">' + venue + "</p>", 31 "<p>" + description + "</p>", 32 "</div>", 33 "</article>", 34 ].join(""); 35 } 36 37 function academicMarkup() { 38 var newsItems = [ 39 "07/2026: Published On Robustness and Chain-of-Thought Consistency of RL-Finetuned VLMs at ICML 2026.", 40 "10/2025: Published SynBalance at the ICCV 2025 Findings Workshop.", 41 "08/2025: UniHPR won the IEEE MIPR 2025 Best Paper Award (" + link("https://sites.google.com/view/mipr-2025/ieee-mipr", "link") + ").", 42 "03/2025: Graduated with a PhD in ECE from the University of Washington.", 43 "01/2025: Started at Apple as an ML Researcher.", 44 "01/2024: ZeDO was accepted to WACV 2024.", 45 "06/2023: Our UW IPL and ETRI team won AI City Challenge 2023 Track 1.", 46 "06/2023: Multi-camera people tracking work appeared at CVPRW 2023.", 47 "05/2021: RODNet was published in IEEE Transactions on Signal Processing.", 48 ]; 49 50 return [ 51 '<main class="academic-home" data-academic-home>', 52 '<section class="academic-hero" id="about">', 53 "<div>", 54 "<h1>Zhongyu Jiang</h1>", 55 '<p class="academic-subtitle">ML Researcher at Apple • PhD, University of Washington ECE</p>', 56 '<p class="academic-links">', 57 iconLink("https://scholar.google.com/citations?user=RCCe8ZgAAAAJ&hl=en", "Google Scholar", "fas fa-graduation-cap"), 58 iconLink("https://github.com/zhyjiang", "GitHub", "fab fa-github"), 59 iconLink("https://www.linkedin.com/in/zhongyu-jiang-065306138/", "LinkedIn", "fab fa-linkedin-in"), 60 iconLink("mailto:[email protected]", "Email", "fas fa-envelope"), 61 iconLink("https://drive.google.com/file/d/1Fy_0HKsV0ke6TmRGB7a26ZKC8rAl_Slq/view?usp=sharing", "CV", "fas fa-file-alt"), 62 "</p>", 63 '<p class="academic-about">Hi! I am an ML Researcher at Apple, and I completed my PhD in Electrical and Computer Engineering at the University of Washington in March 2025. My work focuses on 3D human pose estimation, camera-radar perception, multi-camera people tracking, and optimization-based methods for robust visual understanding.</p>', 64 "</div>", 65 '<img class="academic-photo" src="/static/media/profile-photo.jpeg" alt="Zhongyu Jiang">', 66 "</section>", 67 '<section class="academic-section" id="news">', 68 "<h2>News</h2>", 69 '<ul class="academic-news">', 70 newsItems 71 .slice(0, 10) 72 .map(function (item) { 73 return "<li>" + item + "</li>"; 74 }) 75 .join(""), 76 "</ul>", 77 "</section>", 78 '<section class="academic-section" id="publications">', 79 "<h2>Selected Publications</h2>", 80 publication( 81 "Back to Optimization: Diffusion-based Zero-Shot 3D Human Pose Estimation", 82 "WACV 2024", 83 "Optimization based 3D human pose estimation.", 84 "https://zhyjiang.github.io/ZeDO-proj/", 85 "/static/media/ZeDO.3fea0999.png" 86 ), 87 publication( 88 "Enhancing Multi-Camera People Tracking with Anchor-Guided Clustering and Spatio-Temporal Consistency ID Re-Assignment", 89 "CVPRW 2023", 90 "AI City Challenge 2023 Track 1 winning system.", 91 "https://github.com/ipl-uw/AIC23_Track1_UWIPL_ETRI", 92 "/static/media/AICity.2a29e824.png" 93 ), 94 publication( 95 "RODNet: A real-time radar object detection network cross-supervised by camera-radar fused object 3D localization", 96 "IEEE TSP 2021", 97 "Radar object detection with camera-radar supervision.", 98 "https://github.com/yizhou-wang/RODNet", 99 "/static/media/cruw.8617dad0.png" 100 ), 101 '<p>' + link("https://scholar.google.com/citations?user=RCCe8ZgAAAAJ&hl=en", "More publications") + "</p>", 102 "</section>", 103 '<div class="academic-two-col">', 104 '<section class="academic-section" id="education-summary">', 105 "<h2>Education</h2>", 106 "<ul>", 107 "<li><b>University of Washington</b>, PhD in Electrical and Computer Engineering, 2020-March 2025.</li>", 108 "<li><b>University of Washington, Tacoma</b>, M.S. in Computer Science and Systems, 2018-2019.</li>", 109 "<li><b>Tsinghua University</b>, B.Tech. in Computer Science and Technology, 2014-2018.</li>", 110 "</ul>", 111 "</section>", 112 '<section class="academic-section" id="projects-summary">', 113 "<h2>Projects</h2>", 114 "<ul>", 115 "<li>" + link("https://zhyjiang.github.io/ZeDO-proj/", "ZeDO") + ": zero-shot 3D human pose estimation.</li>", 116 "<li>
116" + link("https://github.com/ipl-uw/AIC23_Track1_UWIPL_ETRI", "AI City Track 1 Winner") + ": multi-camera tracking system.</li>", 117 "<li>" + link("https://www.cruwdataset.org/home", "CRUW Dataset") + ": camera-radar dataset for autonomous driving research.</li>", 118 "<li>" + link("https://sites.google.com/view/mipr-2025/ieee-mipr", "UniHPR") + ": won the IEEE MIPR 2025 Best Paper Award.</li>", 119 "</ul>", 120 "</section>", 121 "</div>", 122 '<footer class="academic-footer">Last updated: May 2026. Layout inspired by ' + link("https://github.com/yuhui-zh15/Minimal-Academic-Website", "Minimal Academic Website") + ".</footer>", 123 "</main>", 124 ].join(""); 125 } 126 127 function removeAcademicHome() { 128 document.body.classList.remove("academic-home-active"); 129 var existing = document.querySelector("[data-academic-home]"); 130 if (existing) existing.remove(); 131 } 132 133 function renderAcademicHome() { 134 if (normalizedHash() === "#/publications") { 135 window.location.replace("#/projects"); 136 return; 137 } 138 139 if (!isHomeRoute()) { 140 removeAcademicHome(); 141 return; 142 } 143 144 var appShell = document.querySelector("#root > div"); 145 if (!appShell || document.querySelector("[data-academic-home]")) return; 146 147 document.body.classList.add("academic-home-active"); 148 var header = appShell.querySelector(".header"); 149 if (header) { 150 header.insertAdjacentHTML("afterend", academicMarkup()); 151 } 152 } 153 154 function scheduleRender() { 155 window.setTimeout(renderAcademicHome, 0); 156 window.setTimeout(renderAcademicHome, 250); 157 } 158 159 if (document.readyState === "loading") { 160 document.addEventListener("DOMContentLoaded", scheduleRender); 161 } else { 162 scheduleRender(); 163 } 164 165 window.addEventListener("hashchange", scheduleRender); 166})();
Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.