Decision-Making for Ecological Reservoir Operation Based on Lamda Fuzzy Measures. - Ke Xu; Jianzhong Zhou; Ran Gu; Hui Qin (FSKD (4), 2009)

The Compound Consistency Induced Ordered Weighted Averaging operator and its application to reservoir operation. - Ke Xu; Jianzhong Zhou; Ran Gu; Hui Qin (FSKD, 2010)

Approach for aggregating interval-valued intuitionistic fuzzy information and its application to reservoir operation. - Ke Xu; Jianzhong Zhou; Ran Gu; Hui Qin (Expert Syst. Appl., 2011)

Non-stationary link inference and localization in communication networks. - Ran Gu; Yan Qiao; Xuesong Qiu 001 (ISCC, 2012)

Network loss tomography using link independence. - Yan Qiao; Guanjue Wang; Xuesong Qiu 001; Ran Gu (ISCC, 2012)

Differential evolution based on ε-domination and orthogonal design method for power environmentally-friendly dispatch. - Ke Xu; Jianzhong Zhou; Yongchuan Zhang; Ran Gu (Expert Syst. Appl., 2012)

Efficient Loss Inference Algorithm Using Unicast End-to-End Measurements. - Yan Qiao; Xuesong Qiu 001; Luoming Meng; Ran Gu (J. Netw. Syst. Manag., 2013)

Some Motzkin-Straus type results for non-uniform hypergraphs. - Ran Gu; Xueliang Li 001; Yuejian Peng; Yongtang Shi (J. Comb. Optim., 2016)

Proper connection number of random graphs. - Ran Gu; Xueliang Li 001; Zhongmei Qin (Theor. Comput. Sci., 2016)

Battery State-of-Power Peak Current Calculation and Verification Using an Asymmetric Parameter Equivalent Circuit Model. - Pawel Malysz; Jin Ye; Ran Gu; Hong Yang; Ali Emadi (IEEE Trans. Veh. Technol., 2016)

Mixed Connectivity of Random Graphs. - Ran Gu; Yongtang Shi; Neng Fan (COCOA (1), 2017)

Automated Segmentation of Intervertebral Disc Using Fully Dilated Separable Deep Neural Networks. - Huan Wang 015; Ran Gu; Zhongyu Li (CSI@MICCAI, 2018)

On extremal hypergraphs for forests of tight paths. - Ran Gu; Rui Li (Appl. Math. Comput., 2018)

Non-jumping numbers for 5-uniform hypergraphs. - Ran Gu; Xueliang Li 001; Zhongmei Qin; Yongtang Shi; Kang Yang (Appl. Math. Comput., 2018)

Feedback Equilibrium for Dynamic Competitive and Cooperative Advertising. - Shigui Ma; Yong He 004; Ran Gu; Sijie Li (KES, 2019)

DeepIGeoS-V2: Deep Interactive Segmentation of Multiple Organs from Head and Neck Images with Lightweight CNNs. - Wenhui Lei; Huan Wang 015; Ran Gu; Shichuan Zhang; Shaoting Zhang 001; Guotai Wang (LABELS/HAL-MICCAI/CuRIOUS@MICCAI, 2019)

Note on directed proper connection number of a random graph. - Ran Gu; Bo Deng; Rui Li (Appl. Math. Comput., 2019)

Collapsible subgraphs of a 4-edge-connected graph. - Ran Gu; Hong-Jian Lai; Yanting Liang; Zhengke Miao; Meng Zhang 005 (Discret. Appl. Math., 2019)

xEV Li-Ion Battery Low-Temperature Effects - Review. - Carlos Vidal; Oliver Gross 002; Ran Gu; Phillip J. Kollmeyer; Ali Emadi (IEEE Trans. Veh. Technol., 2019)

Myocardial Edema and Scar Segmentation Using a Coarse-to-Fine Framework with Weighted Ensemble. - Shuwei Zhai; Ran Gu; Wenhui Lei; Guotai Wang (MyoPS@MICCAI, 2020)

Validation of non-negative matrix factorization for assessment of atomic pair-distribution function (PDF) data in a real-time streaming context. - Chia-Hao Liu; Christopher J. Wright; Ran Gu; Sasaank Bandi; Allison Wustrow; Paul K. Todd; Daniel O'Nolan; Michelle L. Beauvais; James R. Neilson; Peter J. Chupas; Karena W. Chapman; Simon J. L. Billinge (CoRR, 2020)

One-Shot Object Localization in Medical Images based on Relative Position Regression. - Wenhui Lei; Wei Xu 046; Ran Gu; Hao Fu; Shaoting Zhang 001; Guotai Wang (CoRR, 2020)

Conflict-free connection number of random graphs. - Ran Gu; Xueliang Li 001 (Discret. Appl. Math., 2020)

Anti-Ramsey Numbers of Paths and Cycles in Hypergraphs. - Ran Gu; Jiaao Li; Yongtang Shi (SIAM J. Discret. Math., 2020)

Note on matching preclusion number of random graphs. - Ran Gu; Yaping Mao; Guoju Ye (Theor. Comput. Sci., 2020)

The Smallest Number of Vertices in a 2-Arc-Strong Digraph Without Pair of Arc-Disjoint In- and Out-Branchings. - Ran Gu; Gregory Z. Gutin; Shasha Li; Yongtang Shi; Zhenyu Taoqiu (COCOA, 2021)

Analysis on the Construction of Diversified Innovation and Entrepreneurship Education Mode in Colleges under the Background of "Internet +". - Ran Gu (ICISCAE (ACM), 2021)

SS-CADA: A Semi-Supervised Cross-Anatomy Domain Adaptation for Coronary Artery Segmentation. - Jingyang Zhang; Ran Gu; Guotai Wang; Hongzhi Xie; Lixu Gu (ISBI, 2021)

Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation. - Ran Gu; Jingyang Zhang; Rui Huang 001; Wenhui Lei; Guotai Wang; Shaoting Zhang 001 (MICCAI (3), 2021)

Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images. - Wenhui Lei; Wei Xu 046; Ran Gu; Hao Fu; Shaoting Zhang 001; Shichuan Zhang; Guotai Wang (MICCAI (2), 2021)

Priori and Posteriori Attention for Generalizing Head and Neck Tumors Segmentation. - Jiangshan Lu; Wenhui Lei; Ran Gu; Guotai Wang (HECKTOR@MICCAI, 2021)

Comprehensive Importance-Based Selective Regularization for Continual Segmentation Across Multiple Sites. - Jingyang Zhang; Ran Gu; Guotai Wang; Lixu Gu (MICCAI (1), 2021)

A fast two-stage algorithm for non-negative matrix factorization in streaming data. - Ran Gu; Qiang Du; Simon J. L. Billinge (CoRR, 2021)

One-shot Weakly-Supervised Segmentation in Medical Images. - Wenhui Lei; Qi Su; Ran Gu; Na Wang; Xinglong Liu; Guotai Wang; Xiaofan Zhang 002; Shaoting Zhang 001 (CoRR, 2021)

Automatic segmentation of organs-at-risk from head-and-neck CT using separable convolutional neural network with hard-region-weighted loss. - Wenhui Lei; Haochen Mei; Zhengwentai Sun; Shan Ye; Ran Gu; Huan Wang 015; Rui Huang 001; Shichuan Zhang; Shaoting Zhang 001; Guotai Wang (Neurocomputing, 2021)

Automatic segmentation of gross target volume of nasopharynx cancer using ensemble of multiscale deep neural networks with spatial attention. - Haochen Mei; Wenhui Lei; Ran Gu; Shan Ye; Zhengwentai Sun; Shichuan Zhang; Guotai Wang (Neurocomputing, 2021)

Dynamic generic and brand advertising decisions under supply disruption. - Shigui Ma; Yong He 004; Ran Gu (Int. J. Prod. Res., 2021)

Mixed connectivity properties of random graphs and some special graphs. - Ran Gu; Yongtang Shi; Neng Fan (J. Comb. Optim., 2021)

CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation. - Ran Gu; Guotai Wang; Tao Song 002; Rui Huang 001; Michael Aertsen; Jan Deprest; Sébastien Ourselin; Tom Vercauteren; Shaoting Zhang 001 (IEEE Trans. Medical Imaging, 2021)

FPL-UDA: Filtered Pseudo Label-Based Unsupervised Cross-Modality Adaptation for Vestibular Schwannoma Segmentation. - Jianghao Wu 001; Ran Gu; Guiming Dong; Guotai Wang; Shaoting Zhang 001 (ISBI, 2022)

Learning Towards Synchronous Network Memorizability and Generalizability for Continual Segmentation Across Multiple Sites. - Jingyang Zhang; Peng Xue; Ran Gu; Yuning Gu; Mianxin Liu; Yongsheng Pan; Zhiming Cui; Jiawei Huang; Lei Ma 006; Dinggang Shen (MICCAI (5), 2022)

Maximisers of the hypergraph Lagrangian outside the principal range. - Ran Gu; Hui Lei 002; Yuejian Peng; Yongtang Shi (Appl. Math. Comput., 2022)

Contrastive Domain Disentanglement for Generalizable Medical Image Segmentation. - Ran Gu; Jiangshan Lu; Jingyang Zhang; Wenhui Lei; Xiaofan Zhang 002; Guotai Wang; Shaoting Zhang 001 (CoRR, 2022)

On k-uniform random hypergraphs without generalized fans. - Ran Gu; Hui Lei 002; Yongtang Shi (Discret. Appl. Math., 2022)

ℓ $ ell $ -Connectivity and ℓ $ ell $ -edge-connectivity of random graphs. - Ran Gu; Xiaofeng Gu 002; Yongtang Shi; Hua Wang 003 (J. Graph Theory, 2022)

Smallest number of vertices in a 2-arc-strong digraph without good pairs. - Ran Gu; Gregory Z. Gutin; Shasha Li; Yongtang Shi; Zhenyu Taoqiu (Theor. Comput. Sci., 2022)

UPL-TTA: Uncertainty-Aware Pseudo Label Guided Fully Test Time Adaptation for Fetal Brain Segmentation. - Jianghao Wu 001; Ran Gu; Tao Lu; Shaoting Zhang 001; Guotai Wang (IPMI, 2023)

UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation. - Jianghao Wu 001; Guotai Wang; Ran Gu; Tao Lu; Yinan Chen; Wentao Zhu 001; Tom Vercauteren; Sébastien Ourselin; Shaoting Zhang 001 (CoRR, 2023)

Contrastive Semi-Supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures. - Ran Gu; Jingyang Zhang; Guotai Wang; Wenhui Lei; Tao Song 002; Xiaofan Zhang 002; Kang Li 004; Shaoting Zhang 001 (IEEE Trans. Medical Imaging, 2023)

PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation. - Guotai Wang; Xiangde Luo; Ran Gu; Shuojue Yang; Yijie Qu; Shuwei Zhai; Qianfei Zhao; Kang Li 004; Shaoting Zhang 001 (Comput. Methods Programs Biomed., 2023)

Low-carbon tourism supply chain network optimisation with vertical and horizontal cooperations. - Shigui Ma; Yong He 004; Ran Gu (Int. J. Prod. Res., 2023)

S3R: Shape and Semantics-Based Selective Regularization for Explainable Continual Segmentation Across Multiple Sites. - Jingyang Zhang; Ran Gu; Peng Xue; Mianxin Liu; Hao Zheng 008; Yefeng Zheng 001; Lei Ma 006; Guotai Wang; Lixu Gu (IEEE Trans. Medical Imaging, 2023)

CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation. - Ran Gu; Guotai Wang; Jiangshan Lu; Jingyang Zhang; Wenhui Lei; Yinan Chen; Wenjun Liao; Shichuan Zhang; Kang Li 004; Dimitris N. Metaxas; Shaoting Zhang 001 (Medical Image Anal., 2023)

UPL-SFDA: Uncertainty-Aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation. - Jianghao Wu 001; Guotai Wang; Ran Gu; Tao Lu; Yinan Chen; Wentao Zhu 002; Tom Vercauteren; Sébastien Ourselin; Shaoting Zhang 001 (IEEE Trans. Medical Imaging, 2023)

Self-Supervised Pre-Training Based On Contrastive Complementary Masking for Semi-Supervised Cardiac Image Segmentation. - Yubo Zhou; Ran Gu; Shaoting Zhang 001; Guotai Wang (ISBI, 2024)

Domain composition and attention network trained with synthesized unlabeled images for generalizable medical image segmentation. - Jiangshan Lu; Ran Gu; Wenjun Liao; Shichuan Zhang; Huijun Yu; Shaoting Zhang 001; Guotai Wang (Neurocomputing, 2024)

One-Shot Weakly-Supervised Segmentation in 3D Medical Images. - Wenhui Lei; Qi Su; Tianyu Jiang; Ran Gu; Na Wang; Xinglong Liu; Guotai Wang; Xiaofan Zhang 002; Shaoting Zhang 001 (IEEE Trans. Medical Imaging, 2024)

A note on rainbow-free colorings of uniform hypergraphs. - Ran Gu; Hui Lei 002; Yongtang Shi; Yiqiao Wang 002 (Discret. Appl. Math., 2024)

On Extremal Problems on Multigraphs. - Ran Gu; Shuaichao Wang (Graphs Comb., 2024)

A note on rainbow stackings of random edge-colorings of hypergraphs. - Ran Gu (Discret. Math., 2025)

ACformer: A unified transformer for arbitrary-frame image exposure correction. - Chao Li; Yuchen Yang; Qiujia He; Ran Gu; Lei Zhang; Jun Xu (Neural Networks, 2025)

Convergence analysis of Wirtinger Flow for Poisson phase retrieval. - Bing Gao; Ran Gu; Shigui Ma (CoRR, 2025)

Anti-Ramsey properties for tight cycles of random hypergraphs. - Ran Gu (Discret. Appl. Math., 2026)