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group.html

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@@ -175,7 +175,7 @@ <h2>Principal Investigator</h2>
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<a href="https://www.linkedin.com/in/zhengzhongtu/"><i class="fab fa-linkedin"></i> LinkedIn</a> |<br>
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<a href="https://orcid.org/0000-0002-7594-2292"><i class="fab fa-orcid"></i> ORCID</a> |
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<a href="https://github.com/vztu"><i class="fab fa-github"></i> Github</a> |
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<a href="https://x.com/_vztu"><i class="fab fa-twitter"></i></a> X
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<a href="https://x.com/_vztu"><i class="fab fa-twitter"></i> X</a>
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index.html

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<!-- <li><b style="color:rgb(71, 71, 71)">Question</b>: what should I read, if I just want to have a very quick glance at what ScopeX lab is currently focusing on? </li>-->
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<li>
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<!-- <b style="color:rgb(85, 85, 85)">Answer</b>: -->
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Prof. Tu has broad research interests spanning from trustworthy machine learning, multimodal and generative AI, autonomous driving systems, to embodied AI, machine learning system. We pick five papers that represent our recent flavors. The list will change over time:
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Prof. Tu has broad research interests spanning from trustworthy machine learning, multimodal and generative AI, autonomous driving systems, to embodied AI, machine learning system. We pick the following papers that represent our recent flavors. The list will change over time:
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<ul>
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<li><a href="https://arxiv.org/abs/2406.13527">[High-Res Video Generation, ICLR 2025]</a></li>
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<li><a href="https://arxiv.org/abs/2501.18616">[Scalable & Secure V2X Systems, ICLR 2025]</a></li>
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<li><a href="https://arxiv.org/abs/2412.15208">[E2E VLMs for Autonomous Driving, WACV 2025]</a></li>
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<li><a href="https://arxiv.org/abs/2412.15206">[Trustworthy VLMs for Autonomous Driving, Arxiv 2024]</a></li>
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<li><a href="https://arxiv.org/abs/2312.11595">[Language-driven Image Editing, TIP, ECCV 2024]</a></li>
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<li><a href="https://arxiv.org/abs/2310.01407">[Conditional Diffusion Distillation, CoDi, CVPR 2024]</a></li>
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<li><a href="https://arxiv.org/abs/2404.04804">[Robust Vision for Autonomous Driving, LightDiff, CVPR 2024]</a></li>

publication.html

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<div class="trend-entry d-flex">
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<div class="trend-contents">
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<ul>
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<li>S. Xing, Y. Wang, P. Li, R. Bai, Y. Wang, C. Qian, H. Yao, Z. Tu
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<br> <b style="color:rgb(71, 71, 71)">"Re-Align: Aligning Vision Language Models via Retrieval-Augmented Direct Preference Optimization"</b>
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<br>Arxiv 2025. <a href="https://arxiv.org/abs/2502.13146">[Paper]</a> <a href="https://taco-group.github.io/Re-Align/">[Project]</a></li>
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<li>S. Xing, H. Hua, X. Gao, S. Zhu, R. Li, K. Tian, X. Li, H. Huang, T. Yang, Z. Wang, Y. Zhou, H. Yao, Z. Tu
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<br> <b style="color:rgb(71, 71, 71)">"AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving"</b>
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<!-- <a href="https://mobility-lab.seas.ucla.edu/v2v4real/">[Project]</a>-->
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<a href="https://arxiv.org/abs/2204.01697">[Paper]</a> <a href="https://github.com/google-research/maxvit">[Code]</a>
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<br><b><font color="red">Highlighted on-top in Jeff Dean's <a href="https://blog.research.google/2023/01/google-research-2022-beyond-language.html">2022 Annual Google Research Blog</a>; Selected as top-3 papers of the year in <a href="https://www.linkedin.com/pulse/ahead-ai-4-big-year-sebastian-raschka-phd/?trk=public_post">Ahead of AI #4: A Big Year for AI</a>; Retweeted by the Yann Lecun: <a href="https://twitter.com/ylecun/status/1579587264010600448?lang=en">link</a>;
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Top-15 Most Influential ECCV Papers (<a href="https://www.paperdigest.org/2023/01/most-influential-eccv-papers-2023-01/>">2023-01</a>)</font></b>
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Most Influential ECCV Papers #8 (<a href="https://www.paperdigest.org/2024/09/most-influential-eccv-papers-2024-09/>">2024-09</a>)</font></b>
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</li>
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