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Add new conference papers and fix Twitter timeline widget
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‎index.html‎

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<div class="col-md-5">
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<h2>Tweets</h2>
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<a class="twitter-timeline" data-width="100%" data-height="800" data-theme="light" href="https://twitter.com/_vztu?ref_src=twsrc%5Etfw">Tweets by _vztu</a>
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<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
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</div>
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</div>
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</div>
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<script src="js/main.js"></script>
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<!-- Twitter Timeline Widget -->
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<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
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</body>
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</html>

‎publication.html‎

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<br> <b style="color:rgb(71, 71, 71)">"On the Trustworthiness of Generative Foundation Models – Guideline, Assessment, and Perspective"</b>
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<br>Arxiv 2025. <a href="https://arxiv.org/abs/2502.14296">[Paper]</a> <a href="https://trustgen.github.io/">[Project]</a></li>
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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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<br>Arxiv 2024. <a href="https://arxiv.org/abs/2412.15206">[Paper]</a> <a href="https://taco-group.github.io/AutoTrust/">[Project]</a></li>
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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>Q. Zheng, L.-H. Chen, C. He, N. Berkbeck, Y. Wang, B. Adsumilli, A. Bovik, Y. Fan, <u>Z. Tu</u>
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<br> <b style="color:rgb(71, 71, 71)">"Subjective and Objective Quality Assessment of Banding Artifacts on Compressed Videos"</b>
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<br>IEEE Transactions on Image Processing (TIP), 2025. <a href="https://arxiv.org/abs/2508.08700">[Paper]</a> <a href="https://github.com/uniqzheng/CBAND">[Code]</a></li>
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<li>Z. Tu, C.J. Chen, J. Lin, Y. Wang, N. Birkbeck, B. Adsumilli, A.C. Bovik
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<br> <b style="color:rgb(71, 71, 71)">"Understanding, detecting, and removing perceptual banding artifacts in compressed videos"</b>
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<br>Signal Processing: Image Communication, 2025. <a href="https://www.sciencedirect.com/science/article/pii/S0923596525001183">[Paper]</a> <a href="https://github.com/vztu/DebandingNet">[Code]</a></li>
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<div class="trend-contents">
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<ul>
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<li>Y. Zuo, Q. Zheng, M. Wu, X. Jiang, ..., L. V. Wang, J. Zou, X. Wang, M.-H. Yang, <u>Z. Tu</u>
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<br> <b style="color:rgb(71, 71, 71)">"4KAgent: agentic any image to 4K super-resolution"</b>
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<br>Advances in Neural Information Processing Systems (NeurIPS), 2025. <b><font color="red">#1 Paper of the Day (HuggingFace); Press cover</a></font></b>
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<a href="https://4kagent.github.io">[Project]</a>
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</li>
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<li>G. Li, M. Lin, T. Galanti, <u>Z. Tu</u>, T. Yang
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<br> <b style="color:rgb(71, 71, 71)">"DisCO: Reinforcing Large Reasoning Models with Discriminative Constrained Optimization"</b>
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<br>Advances in Neural Information Processing Systems (NeurIPS), 2025.
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<a href="https://arxiv.org/abs/2505.12366">[Paper]</a>
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</li>
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<li>S. Shuo, Y. Wang, R. Bai, Y. Wang, C.-W. Hu, C. Qian, H. Yao, <u>Z. Tu</u>
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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>Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025.
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<a href="https://taco-group.github.io/Re-Align/">[Project]</a>
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<a href="https://arxiv.org/abs/2502.13146">[Paper]</a>
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</li>
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<li>K. Tian, J. Mao, Y. Zhang, J. Jiang, Y. Zhou, <u>Z. Tu</u>
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<br> <b style="color:rgb(71, 71, 71)">"NuScenes-SpatialQA: A spatial understanding and reasoning benchmark for vision-language models in autonomous driving"</b>
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<br>International Conference on Computer Vision (ICCV) WDFM Workshop, 2025.
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<a href="">[Paper]</a>
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</li>
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<li>J Li, X Liu, B Li, R Xu, J Li, H Yu, Z Tu
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<br> <b style="color:rgb(71, 71, 71)">"CoMamba: Real-time cooperative perception unlocked with state space models"</b>
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<br>International Conference on Intelligent Robots and Systems (IROS), 2025.
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</div>
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</div>
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<div class="section-title" style="margin-bottom: 10px">
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<h3>
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<font size="4"> 2026</font>
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</h3>
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</div>
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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>C. Kuai, C. Wu, Y. Zhou, B. Wang, T. Yang, <u>Z. Tu</u>, Z. Li, Y. Zhang
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<br> <b style="color:rgb(71, 71, 71)">"CyPortQA: Benchmarking Multimodal Large Language Models for Cyclone Preparedness in Port Operation"</b>
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<br>AAAI Conference on Artificial Intelligence (AAAI) Social Impact Track, 2026. <b><font color="red">Oral</a></font></b>
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<a href="https://arxiv.org/abs/2508.15846">[Paper]</a>
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</li>
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</ul>
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</div>
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</div>
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<h3>

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