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index.html
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<!DOCTYPE html>
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<h1 class="post-title">
<span class="font-weight-bold">Tao</span> Sun
</h1>
<p class="desc"></p>
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<article>
<div class="profile float-right">
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<picture>
<source class="responsive-img-srcset" media="(max-width: 480px)" srcset="/assets/img/images/bio-480.webp"></source>
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<!-- <i style="color: var(--global-theme-color)">A practioner of Machine Learning, Computer Vision</i> -->
<p>Hi! I am an Applied Scientist at Amazon. Previously, I did my PhD study in Computer Science at <a href="https://www.cs.stonybrook.edu/" target="_blank" rel="nofollow">Stony Brook University</a>, fortunately advised by <a href="https://www3.cs.stonybrook.edu/~hling/" target="_blank" rel="nofollow">Prof. Haibin Ling</a>.</p>
<p>I am broadly interested in machine learning and computer vision, particularly <strong>vision-language learning</strong>, <strong>domain adaptation</strong>, <strong>weakly-supervised learning</strong>. I also work on <strong>adversarial attack and defense</strong> of neural networks.</p>
<p>Contact: tao # cs.stonybrook.edu</p>
<!-- Social -->
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<!-- News -->
<div class="news">
<h2>news</h2>
<div class="table-responsive">
<table class="table table-sm table-borderless">
<tr>
<th scope="row" width="10%"><span style="min-height: 5px; min-width: 20px">
Nov 2024
</span></th>
<td>
Successfully defended my PhD thesis.
</td>
</tr>
<tr>
<th scope="row" width="10%"><span style="min-height: 5px; min-width: 20px">
Oct 2024
</span></th>
<td>
<a href="http://arxiv.org/abs/xxxx.xxxxx" rel="external nofollow noopener" target="_blank">One paper</a> on Semi-Supervised Learning accepted by <a href="https://wacv2025.thecvf.com/" rel="external nofollow noopener" target="_blank">WACV 2025</a>.
</td>
</tr>
<tr>
<th scope="row" width="10%"><span style="min-height: 5px; min-width: 20px">
Aug 2024
</span></th>
<td>
Finished my internship at Amazon, Seattle! We worked on multi-modal In-Context-Learning for LLaVA model.
</td>
</tr>
</table>
</div>
</div>
<!-- Selected papers -->
<div class="news">
<h2>selected publications</h2>
<ul><li>
<b>Mask and Restore: Blind Backdoor Defense at Test Time with Masked Autoencoder</b>
<br>
<b style="color: var(--global-theme-color)"><u>Tao Sun</u></b>, Lu Pang, Chao Chen, and Haibin Ling
<br>
arXiv 2023 | <a href="https://arxiv.org/abs/2303.15564" rel="external nofollow noopener" target="_blank">arXiv</a> • <a href="https://github.com/tsun/BDMAE" rel="external nofollow noopener" target="_blank">Code</a>
</li></ul>
<ul><li>
<b>Local Context-Aware Active Domain Adaptation</b>
<br>
<b style="color: var(--global-theme-color)"><u>Tao Sun</u></b>, Cheng Lu, and Haibin Ling
<br>
ICCV 2023 | <a href="https://openaccess.thecvf.com/content/ICCV2023/html/Sun_Local_Context-Aware_Active_Domain_Adaptation_ICCV_2023_paper.html" rel="external nofollow noopener" target="_blank">Paper</a> • <a href="http://arxiv.org/abs/2208.12856" rel="external nofollow noopener" target="_blank">arXiv</a> • <a href="https://github.com/tsun/LADA" rel="external nofollow noopener" target="_blank">Code</a>
</li></ul>
<ul><li>
<b>Backdoor Cleansing with Unlabeled Data</b>
<br>
Lu Pang, <b style="color: var(--global-theme-color)"><u>Tao Sun</u></b>, Haibin Ling, and Chao Chen
<br>
<!-- IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023. [<a href="https://arxiv.org/pdf/2211.12044.pdf">arXiv</a>] [<a href="https://github.com/luluppang/BCU">Code</a>] -->
CVPR 2023 | <a href="https://openaccess.thecvf.com/content/CVPR2023/html/Pang_Backdoor_Cleansing_With_Unlabeled_Data_CVPR_2023_paper.html" rel="external nofollow noopener" target="_blank">Paper</a> • <a href="https://arxiv.org/abs/2211.12044" rel="external nofollow noopener" target="_blank">arXiv</a> • <a href="https://github.com/luluppang/BCU" rel="external nofollow noopener" target="_blank">Code</a>
</li></ul>
<ul><li>
<b>Domain Adaptation with Adversarial Training on Penultimate Activations</b>
<br>
<b style="color: var(--global-theme-color)"><u>Tao Sun</u></b>, Cheng Lu, and Haibin Ling
<br>
<!-- AAAI Conference on Artificial Intelligence 2023. <font color="red">[Oral presentation]</font> [<a href="https://arxiv.org/pdf/2208.12853.pdf">arXiv</a>] [<a href="https://github.com/tsun/APA">Code</a>] -->
AAAI 2023 | <font color="#decb00"><b>Oral Presentation</b></font> • <a href="https://ojs.aaai.org/index.php/AAAI/article/view/26185" rel="external nofollow noopener" target="_blank">Paper</a> • <a href="https://arxiv.org/abs/2208.12853" rel="external nofollow noopener" target="_blank">arXiv</a> • <a href="https://github.com/tsun/APA" rel="external nofollow noopener" target="_blank">Code</a>
</li></ul>
<ul><li>
<b>Prior Knowledge Guided Unsupervised Domain Adaptation</b>
<br>
<b style="color: var(--global-theme-color)"><u>Tao Sun</u></b>, Cheng Lu, and Haibin Ling
<br>
<!-- European Conference on Computer Vision 2022. [<a href="https://arxiv.org/pdf/2207.08877.pdf">arXiv</a>] [<a href="https://github.com/tsun/KUDA">Code</a>] -->
ECCV 2022 | <a href="https://www.ecva.net/papers/eccv_2022/papers_ECCV/html/2872_ECCV_2022_paper.php" rel="external nofollow noopener" target="_blank">Paper</a> • <a href="https://arxiv.org/abs/2207.08877" rel="external nofollow noopener" target="_blank">arXiv</a> • <a href="https://github.com/tsun/KUDA" rel="external nofollow noopener" target="_blank">Code</a>
</li></ul>
<ul><li>
<b>Safe Self-Refinement for Transformer-Based Domain Adaptation</b>
<br>
<b style="color: var(--global-theme-color)"><u>Tao Sun</u></b>, Cheng Lu, Tianshuo Zhang, and Haibin Ling
<br>
<!-- IEEE/CVF Conference on Computer Vision and Pattern Recognition 2022. [<a href="https://arxiv.org/pdf/2204.07683.pdf">arXiv</a>] [<a href="https://github.com/tsun/SSRT">Code</a>] -->
CVPR 2022 | <a href="https://openaccess.thecvf.com/content/CVPR2022/html/Sun_Safe_Self-Refinement_for_Transformer-Based_Domain_Adaptation_CVPR_2022_paper.html" rel="external nofollow noopener" target="_blank">Paper</a> • <a href="https://arxiv.org/abs/2204.07683" rel="external nofollow noopener" target="_blank">arXiv</a> • <a href="https://github.com/tsun/SSRT" rel="external nofollow noopener" target="_blank">Code</a>
</li></ul>
<ul><li>
<b>End-to-end Full Projector Compensation</b>
<br>
Bingyao Huang, <b style="color: var(--global-theme-color)"><u>Tao Sun</u></b>, and Haibin Ling
<br>
<!-- IEEE Transactions on Pattern Analysis and Machine Intelligence 2021. [<a href="https://arxiv.org/pdf/2008.00965.pdf">arXiv</a>] [<a href="https://github.com/BingyaoHuang/CompenNeSt-plusplus">Code</a>] -->
TPAMI 2021 | <a href="https://ieeexplore.ieee.org/document/9318552" rel="external nofollow noopener" target="_blank">Paper</a> • <a href="https://arxiv.org/abs/2008.00965" rel="external nofollow noopener" target="_blank">arXiv</a> • <a href="https://github.com/BingyaoHuang/CompenNeSt-plusplus" rel="external nofollow noopener" target="_blank">Code</a>
</li></ul>
</div>
<style>
.divs .imgs{
margin-top: 0em;
display: inline-block;
vertical-align: middle;
margin-bottom: 0em;
margin-left: 0.5em;
}
.divs .infos{
margin-top: 1em;
display: inline-block;
vertical-align: middle;
margin-left: 2em;
margin-bottom: 0em;
}
</style>
<div class="news">
<h2>industry experience</h2>
<div class="divs">
<div class="imgs"><img src="assets/img/images/logo/Amazon.png" width="150px"></div>
<div class="infos">
<p><strong>Applied Scientist</strong>, Amazon Shopping (Nov. 2024 - )</p>
<strong>Applied Scientist Intern</strong>, Amazon Shopping (May 2024 - Aug. 2024)<p>Multimodal LLM, Instruction tuning, Agents</p>
</div>
</div>
<div class="divs">
<div class="imgs"><img src="assets/img/images/logo/Adobe.png" width="150px"></div>
<div class="infos">
<strong>Machine Learning Engineer Intern</strong>, Adobe DX (May 2023 - Aug. 2023)<p>Time series forecasting</p>
</div>
</div>
<div class="divs">
<div class="imgs"><img src="assets/img/images/logo/AntGroup.png" width="150px"></div>
<div class="infos">
<strong>Machine Learning Engineer</strong>, Ant Group (July 2018 - July 2019)<p>Recommender system</p> </div>
</div>
<div class="divs">
<div class="imgs"><img src="assets/img/images/logo/Baidu.png" width="150px"></div>
<div class="infos">
<strong>Software Engineer Intern</strong>, Baidu NLP (Sept. 2017 - Dec. 2017)<p>News matching</p> </div>
</div>
<br>
<div class="news">
<h2>service</h2>
Reviewer: ICLR, NeurIPS, ICML, ICCV, CVPR, ECCV, AISTATS, ACCV, WACV, TPAMI, IJCV, TNNLS
</div>
<!-- <br></br>
<div class="news">
<h2>contact</h2>
tao # cs.stonybrook.edu
</div> -->
</div>
</article>
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© Copyright 2024 Tao Sun. Powered by <a href="https://jekyllrb.com/" target="_blank" rel="external nofollow noopener">Jekyll</a> with <a href="https://github.com/alshedivat/al-folio" rel="external nofollow noopener" target="_blank">al-folio</a> theme.
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