Xiang Gu (古祥) Assistant Professor Department of Information Science, School of Mathematics and Statistics, Xi'an Jiaotong University, P.R.China. Email: xianggu@xjtu.edu.cn, [Google page] [GitHub] [CV]

Biography

I'm an assistant professor at the Department of Information Science, School of Mathematics and Statistics, Xi^'an Jiaotong University. I got my PhD degree in Applied Mathematics in 2024, from the School of Mathematics and Statistics, Xi^'an Jiaotong University, supervised by Prof. Zongben Xu and co-supervised by Prof. Jian Sun. Before that, I got my B.S. in Statistics in 2017 from the School of Mathematics, Southeast University.

Research Interests

My research interests include optimal transport theory and algorithms, transfer learning in statistics and AI, and applications in biology and science. Currently, I am co-supervising students with Profs. Zongben Xu and Jian Sun.

非常欢迎自驱性强的学生加入团队，课题组经费充足，提供优良的研究条件，特别欢迎中高年级本科生进行科研训练并发表顶会/顶刊论文！

News

• I am honored to serve on the Editorial Board of the Journal of Mathematical Learning and Computation (JMLC). Led by Prof. Ke Chen as Editor-in-Chief, JMLC focuses on the mathematical, computational, and algorithmic foundations of learning systems. Its editorial board includes many distinguished scholars, such as SIAM Fellow Desmond Higham and Gabriele Steidl, Editor-in-Chief of SIAM Journal on Imaging Sciences. Researchers working in these areas are warmly welcome to submit their work to JMLC.
• Our paper “Keypoint-Guided Optimal Transport: Models, Algorithms, and Applications” has been accepted by the Journal of Machine Learning Research (JMLR), 2026. Congratulations to all coauthors!
• We proposed an accurate and computationally efficient lower bound for Ollivier–Ricci curvature (ORC), achieving up to a 100-fold speedup. The Python package is available here and supports multithreading. Welcome to try it.
• Congratulations! Our paper “Generative Flow Model on Distance Geometry for Predicting Transition States of Chemical Reactions” by Yufei Luo et al., has been accepted by Nature Communications, 2026.

Publication (# corresponding author)

• [28] Xiang Gu, Yucheng Yang, Wei Zeng, Jian Sun, Zongben Xu. Keypoint-Guided Optimal Transport: Models, Algorithms, and Applications. Journal of Machine Learning Research (JMLR), 2026.
• [27] Xiang Gu, Huichun Zhang, Jian Sun. A Residual-Shell-Based Lower Bound for Ollivier-Ricci Curvature. Applied Mathematics Letters, 2026. [Packdage]
• [26] Liwei Yang, Xiang Gu^#, Shipeng Wang, Jian Sun. Learning Domain Generalizable Semantic Segmentation Model by Transformation-Invariant Feature Subspace Projection. Neurocomputing, 2026.
• [25] Yufei Luo, Xiang Gu, Jian Sun. Generative Flow Model on Distance Geometry for Predicting Transition States of Chemical Reactions. Nature Communications, 2026.
• [24] Xiaole Tang, Xiaoyi He, Jiayi Xu, Xiang Gu, Jian Sun. Learning Continuous Wasserstein Barycenter Space for Generalized All-in-One Image Restoration. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2026. (CCF-A)
• [23] Yannan Pu, Xiang Gu, Niansheng Tang, Jingyao Zhang, Jian Sun.Variational Masking Generative Model for Anomaly Detection on Incomplete Tabular Data. Pattern Recognition, 2026.
• [22] Liwei Yang, Xiang Gu^#, Jian Sun. In-Context Learning Implicit Representation for Time Series Forecasting. IEEE Signal Processing Letters, 2025.
• [21] Taoran Zheng, Xing Li, Yan Yang, Xiang Gu^#, Zongben Xu, Jian Sun. Towards Prospective Medical Image Reconstruction via Knowledge-Informed Dynamic Optimal Transport. Conference on Neural Information Processing Systems (NeurIPS), 2025. [Arxiv] (CCF-A)
• [20] Dongyi Wang, Yuanwei Jiang, Zhenyi Zhang, Xiang Gu^#, Peijie Zhou, Jian Sun. Joint Velocity-Growth Flow Matching for Single-Cell Dynamics Modeling. Conference on Neural Information Processing Systems (NeurIPS), 2025. [Arxiv] (CCF-A)
• [19] Jiazhen Wang, Zhihao Shi, Xiang Gu, Yan Yang, Jian Sun. Diffusion-based Arbitrary-Scale Magnetic Resonance Image Super-Resolution via Progressive K-space Reconstruction and Denoising. Medical Image Analysis (MIA), 2025.
• [18] Xi Yu, Xiang Gu^#, Zhihao Shi, Jian Sun. Wasserstein Style Distribution Analysis and Transform for Stylized Image Generation. International Conference on Computer Vision (ICCV), 2025. (CCF-A)
• [17] Xiaole Tang, Xiang Gu, Xiaoyi He, Xin Hu, Jian Sun. Degradation-Aware Residual-Conditioned Optimal Transport for Unified Image Restoration. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2025. (CCF-A)
• [16] Xin Wei, Xiang Gu, Jian Sun. Multi-scale Part-based Feature Representation for 3D Domain Generalization and Adaptation. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2024. (CCF-A)
• [15] Xiang Gu, Xi Yu, Yan Yang, Jian Sun, Zongben Xu. Adversarial Reweighting with $\alpha$-Power Maximization for Domain Adaptation. International Journal of Computer Vision (IJCV), 2024. [code] [Official Version] (CCF-A)
• [14] Xiaole Tang, Xin Hu, Xiang Gu, Jian Sun. Residual-Conditioned Optimal Transport: Towards Structure-Preserving Unpaired and Paired Image Restoration. International Conference on Machine Learning (ICML), 2024. (CCF-A)
• [13] Xi Yu, Xiang Gu (Co-First Author), Jian Sun. Contrasting Augmented Features for Domain Adaptation with Limited Target Domain Data. Pattern Recognition, 2023.


• [12] Xiang Gu, Liwei Yang, Jian Sun, Zongben Xu. Optimal Transport-Guided Conditional Score-Based Diffusion Model. Conference on Neural Information Processing Systems (NeurIPS), 2023. [Code] [Poster] [Slides] [OpenReview] [Project Page] (CCF-A)


• [11] Xi Yu, Xiang Gu (Co-First Author), Haozhi Liu, Jian Sun. Constructing Non-isotropic Gaussian Diffusion Model Using Isotropic Gaussian Diffusion Model. Conference on Neural Information Processing Systems (NeurIPS), 2023. (CCF-A)


• [10] Xiang Gu, Jian Sun, and Zongben Xu.   Adversarial Data Splitting for Domain Generalization. Science China Information Sciences (SCIS), 2023. (CCF-A)


• [9] Fan Wang, Xiang Gu, Jian Sun, and Zongben Xu.   Learning-based Local Weighted Least Squares for Algebraic Multigrid Method. Journal of Computational Physics (JCP), 2023.


• [8] Zixiang Zhao, Jiangshe Zhang, Xiang Gu, Chengli Tan, Shuang Xu, Yulun Zhang, Radu Timofte, Luc Van Gool. Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023. (CCF-A)


• [7] Liwei Yang, Xiang Gu (Co-First Author), and Jian Sun. Generalized Semantic Segmentation by Self-supervised Source Domain Projection and Multi-level Contrastive Learning. Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2023. (CCF-A)


• [6] Yucheng Yang, Xiang Gu (Co-First Author), and Jian Sun. Prototypical Partial Optimal Transport for Universal Domain Adaptation. Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2023. (CCF-A)


• [5] Xin Wei, Xiang Gu, and Jian Sun. Learning Generalizable Part-based Feature Representation for 3D Point Clouds. Conference on Neural Information Processing Systems (NeurIPS), 2022. (CCF-A)


• [4] Xiang Gu, Yucheng Yang, Wei Zeng, Jian Sun, and Zongben Xu. Keypoint-Guided Optimal Transport with Application in Heterogeneous Domain Adaptation. Conference on Neural Information Processing Systems (NeurIPS), 2022. [Poster] [Code] (CCF-A)


• [3] Xiang Gu, Jian Sun and Zongben Xu. Unsupervised and Semi-supervised Robust Spherical Space Domain Adaptation. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2022. [Appendix] [Code] (CCF-A)


• [2] Xiang Gu, Xi Yu, Yan Yang, Jian Sun and Zongben Xu. Adversarial Reweighting for Partial Domain Adaptation. Conference on Neural Information Processing Systems (NeurIPS), 2021. [Slides] [Code] (CCF-A)


• [1] Xiang Gu, Jian Sun and Zongben Xu. Spherical Space Domain Adaptation with Robust Pseudo-label Loss. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2020. [Supp.] [Code] (CCF-A)

Honors & Awards

• CAAI Outstanding Doctoral Dissertation Award （人工智能学会博士论文激励计划）
• Shaanxi “Sanqin Bochuang” Talent Program （“三秦博创”人才）
• National Postdoctoral Innovation Talent Support Program （博士后创新人才支持计划）
• NSFC Young Student Basic Research Program (PhD Student Project) （基金委青年基金博士生项目）
• VALSE Outstanding Student Forum Guest Representative （VALSE优秀学生论坛嘉宾代表）

Academic Service

Editorial Board:

• Journal of Mathematical Learning and Computation

Reviewer for Journals:

• IEEE Transactions on Pattern Analysis and Machine Intelligence
• Journal of the American Statistical Association
• International Journal of Computer Vision
• IEEE Transactions on Image Processing
• etc.

PC Member:

• IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
• IEEE/CVF International Conference on Computer Vision (ICCV)
• Conference on Neural Information Processing Systems (NeurIPS)
• International Conference on Learning Representations (ICLR)
• International Conference on Machine Learning (ICML)
• European Conference on Computer Vision (ECCV)
• AAAI Conference on Artificial Intelligence (AAAI)
• etc.

Correspondence

Email: xianggu@xjtu.edu.cn

Office: No.434, Building of Mathematics (数学楼), Xingqing Campus of Xi'an Jiaotong University

Address: No.28, Xianning West Road, Xi'an, Shaanxi, 710049, P. R. China.
(西安市咸宁西路28号, 710049)