Gu, Xiang

13 publications

ICCV 2025 CIARD: Cyclic Iterative Adversarial Robustness Distillation Liming Lu, Shuchao Pang, Xu Zheng, Xiang Gu, Anan Du, Yunhuai Liu, Yongbin Zhou

NeurIPS 2025 Joint Velocity-Growth Flow Matching for Single-Cell Dynamics Modeling Dongyi Wang, Yuanwei Jiang, Zhenyi Zhang, Xiang Gu, Peijie Zhou, Jian Sun

NeurIPS 2025 Towards Prospective Medical Image Reconstruction via Knowledge-Informed Dynamic Optimal Transport Taoran Zheng, Yan Yang, Xing Li, Xiang Gu, Jian Sun, Zongben Xu

ICCV 2025 Wasserstein Style Distribution Analysis and Transform for Stylized Image Generation Xi Yu, Xiang Gu, Zhihao Shi, Jian Sun

ICML 2024 Residual-Conditioned Optimal Transport: Towards Structure-Preserving Unpaired and Paired Image Restoration Xiaole Tang, Xin Hu, Xiang Gu, Jian Sun

NeurIPS 2023 Constructing Non-Isotropic Gaussian Diffusion Model Using Isotropic Gaussian Diffusion Model for Image Editing Xi Yu, Xiang Gu, Haozhi Liu, Jian Sun

AAAI 2023 Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning Liwei Yang, Xiang Gu, Jian Sun

NeurIPS 2023 Optimal Transport-Guided Conditional Score-Based Diffusion Model Xiang Gu, Liwei Yang, Jian Sun, Zongben Xu

AAAI 2023 Prototypical Partial Optimal Transport for Universal Domain Adaptation Yucheng Yang, Xiang Gu, Jian Sun

ICCV 2023 Spherical Space Feature Decomposition for Guided Depth mAP Super-Resolution Zixiang Zhao, Jiangshe Zhang, Xiang Gu, Chengli Tan, Shuang Xu, Yulun Zhang, Radu Timofte, Luc Van Gool

NeurIPS 2022 Keypoint-Guided Optimal Transport with Applications in Heterogeneous Domain Adaptation Xiang Gu, Yucheng Yang, Wei Zeng, Jian Sun, Zongben Xu

NeurIPS 2022 Learning Generalizable Part-Based Feature Representation for 3D Point Clouds Xin Wei, Xiang Gu, Jian Sun

NeurIPS 2021 Adversarial Reweighting for Partial Domain Adaptation Xiang Gu, Xi Yu, Yan Yang, Jian Sun, Zongben Xu