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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN" "http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd">
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<title>Xiang Gu</title>
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<table class="imgtable"><tbody><tr>
<td align="left" width="670"><p><b><font size="+0" face="STKaiti"></font></b><br>
<font size="+2"><b>Xiang Gu (古祥)</b></font> <br>
</p>
Assistant Professor<br>
Department of Information Science,<br>
School of Mathematics and Statistics,<br>
Xi<sup>'</sup>an Jiaotong University, P.R.China.<br>
<br>
Email: [email protected], <br>
[<a href="https://scholar.google.com/citations?user=51GDv0EAAAAJ&hl=zh-CN" style="color:blue;">Google page</a>]
[<a href="https://github.com/XJTU-XGU" style="color:blue;">GitHub</a>]
<p></p>
</td>
<td>
<a href="./WechatIMG10970.png"><img src="./WechatIMG10970.png" alt="zhaopian.jpg" width="200px"></a>
</td>
</tr></tbody></table>
<h2>Biography</h2>
<p>I'm an assistant professor at the Department of Information Science, School of Mathematics and Statistics, Xi<sup>'</sup>an Jiaotong University. I got my PhD degree in Applied Mathematics in March 2024, from the
School of Mathematics and Statistics,
Xi<sup>'</sup>an Jiaotong University, supervised by
<a href="http://zbxu.gr.xjtu.edu.cn/" target="_blank">Prof. Zongben Xu</a> and co-supervised by
<a href="https://gr.xjtu.edu.cn/web/jiansun/main" target="_blank">Prof. Jian Sun</a>.
Before that, I got my B.S. in Statistics in June 2017 from the School of Mathematics, Southeast University.
<br>
</p><h2>Research Interests</h2>
<p>My research interests include optimal transport, transfer learning, and theory and algorithm of foundation models. </p>
<h2>Publication</h2>
<ul>
<li>Xin Wei, <b>Xiang Gu</b>, Jian Sun. <b><u><a href="">Multi-scale Part-based Feature Representation for 3D Domain Generalization and Adaptation.</a> </u>
</b> IEEE Trans. on Pattern Analysis and Machine Intelligence (<b>TPAMI</b>), 2024. (CCF-A)
</li><be>
<li><b>Xiang Gu</b>, Xi Yu, Yan Yang, Jian Sun, Zongben Xu. <b><u><a href="https://arxiv.org/abs/2404.17275">Adversarial Reweighting with $\alpha$-Power Maximization for Domain Adaptation.</a> </u>
</b> International Journal of Computer Vision (<b>IJCV</b>), 2024. <a href="https://github.com/XJTU-XGU/ARPM">[code]</a>
<a href="https://link.springer.com/article/10.1007/s11263-024-02107-6">[Official Version]</a> (CCF-A)
</li><be>
<li> Xiaole Tang, Xin Hu, <b>Xiang Gu</b>, Jian Sun. <b><u><a href=" ">Residual-Conditioned Optimal Transport: Towards Structure-Preserving Unpaired and Paired Image Restoration.</a> </u>
</b> International Conference on Machine Learning (<b>ICML</b>), 2024. (CCF-A)
</li><be>
<li>Xi Yu, <b>Xiang Gu (Co-First Author)</b>, Jian Sun. <b><u><a href="https://www.sciencedirect.com/science/article/abs/pii/S0031320323008427">Contrasting Augmented Features for Domain Adaptation with Limited Target Domain Data.</a> </u>
</b> Pattern Recognition, 2023.
</li><br>
<li><b>Xiang Gu</b>, Liwei Yang, Jian Sun, Zongben Xu. <b><u><a href="https://arxiv.org/abs/2311.01226">Optimal Transport-Guided Conditional Score-Based Diffusion Model.</a> </u>
</b>Conference on Neural Information Processing Systems (<b>NeurIPS</b>), 2023.
[<a href="https://github.com/XJTU-XGU/OTCS/tree/main">Code</a>]
[<a href="https://neurips.cc/media/PosterPDFs/NeurIPS%202023/72603.png?t=1699165504.8073568">Poster</a>]
[<a href="https://neurips.cc/media/neurips-2023/Slides/72603_v3mI6NO.pdf">Slides</a>]
[<a href="https://openreview.net/forum?id=9Muli2zoFn">OpenReview</a>]
[<a href="https://xjtu-xgu.github.io/xianggu/projects/otcs/otcs.html">Project Page</a>]
(CCF-A)
</li><br>
<li>Xi Yu, <b>Xiang Gu (Co-First Author)</b>, Haozhi Liu, Jian Sun. <b><u><a href="https://openreview.net/forum?id=2Ibp83esmb">Constructing Non-isotropic Gaussian Diffusion Model Using Isotropic Gaussian Diffusion Model.</a> </u>
</b>Conference on Neural Information Processing Systems (<b>NeurIPS</b>), 2023.
(CCF-A)
</li><br>
<li> <b>Xiang Gu</b>, Jian Sun, and Zongben Xu.
<b><u><a href="https://www.sciengine.com/SCIS/doi/10.1007/s11432-022-3857-5;JSESSIONID=b14ebf9f-a87e-42a3-9093-a4efe4752667">Adversarial Data Splitting for Domain Generalization.</a></u>
</b>Science China Information Sciences (<b>SCIS</b>), 2023.
(CCF-A)
</li><br>
<li>Fan Wang, <b>Xiang Gu</b>, Jian Sun, and Zongben Xu.
<b><u><a href="https://www.sciencedirect.com/science/article/abs/pii/S0021999123005326">Learning-based Local Weighted Least Squares for Algebraic Multigrid Method.</a></u>
</b>Journal of Computational Physics (<b>JCP</b>), 2023.
</li><br>
<li> Zixiang Zhao, Jiangshe Zhang, <b>Xiang Gu</b>, Chengli Tan, Shuang Xu, Yulun Zhang, Radu Timofte, Luc Van Gool. <b><u><a href="https://arxiv.org/abs/2303.08942">Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution.</a> </u>
</b>Proceedings of the IEEE/CVF International Conference on Computer Vision (<b>ICCV</b>), 2023. (CCF-A)
</li><br>
<li>Liwei Yang, <b>Xiang Gu (Co-First Author)</b>, and Jian Sun. <b><u><a href="https://xjtu-xgu.github.io/xianggu/docs/final_v5.pdf">Generalized Semantic Segmentation by Self-supervised Source Domain Projection and Multi-level Contrastive Learning.</a></u>
</b>Thirty-Seventh AAAI Conference on Artificial Intelligence (<b>AAAI</b>, <b style="color:rgb(255,0,0);">Oral</b>), 2023. (CCF-A)
</li><br>
<li>Yucheng Yang, <b>Xiang Gu (Co-First Author)</b>, and Jian Sun. <b><u><a href="https://xjtu-xgu.github.io/xianggu/docs/AAAI2023_Prototypical_Partial_Optimal_Transport_for_Universal_Domain_Adaptation.pdf">Prototypical Partial Optimal Transport for Universal Domain Adaptation.</a></u>
</b>Thirty-Seventh AAAI Conference on Artificial Intelligence (<b>AAAI</b>), 2023.
(CCF-A)
</li><br>
<li>Xin Wei, <b>Xiang Gu</b>, and Jian Sun. <b><u><a href="https://openreview.net/pdf?id=V03mpOjCwtg">Learning Generalizable Part-based Feature Representation for 3D Point Clouds.</a></u>
</b>Conference on Neural Information Processing Systems (<b>NeurIPS</b>), 2022. (CCF-A)
</li><br>
<li><b>Xiang Gu</b>, Yucheng Yang, Wei Zeng, Jian Sun, and Zongben Xu. <b><u><a href="https://openreview.net/forum?id=m6DJxSuKuqF"> Keypoint-Guided Optimal Transport with Application in Heterogeneous Domain Adaptation.</a></u>
</b>Conference on Neural Information Processing Systems (<b>NeurIPS</b>), 2022.
[<a href="https://nips.cc/media/PosterPDFs/NeurIPS%202022/54072f485cdb7897ebbcaf7525139561.png">Poster</a>]
[<a href="https://github.com/XJTU-XGU/KPG-RL" target="_blank">Code</a>] (CCF-A)
</li><br>
<li><b>Xiang Gu</b>, Jian Sun and Zongben Xu. <b><u><a href="https://ieeexplore.ieee.org/document/9733209">Unsupervised and Semi-supervised Robust Spherical Space Domain Adaptation</a></u>.
</b>IEEE Trans. on Pattern Analysis and Machine Intelligence (<b>TPAMI</b>), 2022.
[<a href="https://ieeexplore.ieee.org/document/9733209/media#media">Appendix</a>]
[<a href="https://github.com/XJTU-XGU/RSDA" target="_blank">Code</a>] (CCF-A)
</li><br>
<li><b>Xiang Gu</b>, Xi Yu, Yan Yang, Jian Sun and Zongben Xu. <b><u><a href="https://papers.nips.cc/paper/2021/hash/7ce3284b743aefde80ffd9aec500e085-Abstract.html">Adversarial Reweighting for Partial Domain Adaptation.</a></u>
</b>Conference on Neural Information Processing Systems (<b>NeurIPS</b>), 2021.
[<a href="https://nips.cc/media/neurips-2021/Slides/27601_6c3WB3e.pdf">Slides</a>]
[<a href="https://github.com/XJTU-XGU/Adversarial-Reweighting-for-Partial-Domain-Adaptation" target="_blank">Code</a>]
(CCF-A)
</li><br>
<li><b>Xiang Gu</b>, Jian Sun and Zongben Xu. <b><u><a href="https://openaccess.thecvf.com/content_CVPR_2020/papers/Gu_Spherical_Space_Domain_Adaptation_With_Robust_Pseudo-Label_Loss_CVPR_2020_paper.pdf">Spherical Space Domain Adaptation with Robust Pseudo-label Loss</a></u>.
</b>IEEE Conf. on Computer Vision and Pattern Recognition (<b>CVPR</b>), 2020.
[<a href="https://openaccess.thecvf.com/content_CVPR_2020/supplemental/Gu_Spherical_Space_Domain_CVPR_2020_supplemental.pdf">Supp.</a>]
[<a href="https://github.com/XJTU-XGU/RSDA" target="_blank">Code</a>]
(CCF-A)
</li><br>
</ul>
<h2>Academic Service</h2>
<p><b>Reviewer for Journals</b>: IEEE Transactions on Pattern Analysis and Machine Intelligence, International Jornal of Computer Vision, IEEE Transactions on Image Processing, etc. </p>
<p><b>PC Member</b>: CVPR, ICCV, NeurIPS, ICLR, ICML, ECCV, AAAI, etc.</p>
<h2>Correspondence</h2>
<p>Email:
[email protected] <br><br>
Office:
No.434, Building of Mathematics (数学楼), Xingqing Campus of Xi'an Jiaotong University<br><br>
Address:
No.28, Xianning West Road, Xi'an, Shaanxi, 710049, P. R. China.<br>
(西安市咸宁西路28号, 710049)</p>
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