Ran Gu

81 papers B 1C 3Journal 61Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Vectorized Positive Semidefinite Penalty Method for Unconstrained Binary Quadratic Programming.
J. Optim. Theory Appl.
Xinyue Huo, Ran Gu
2026 J jnl
Anti-Ramsey properties for tight cycles of random hypergraphs.
Discret. Appl. Math.
Ran Gu
2026 J jnl
CT-Bench: A Benchmark for Multimodal Lesion Understanding in Computed Tomography.
CoRR
Qingqing Zhu, Qiao Jin, Tejas Sudharshan Mathai, Yin Fang, Zhizheng Wang, Yifan Yang, Maame Sarfo-Gyamfi, Benjamin Hou, Ran Gu, Praveen Thoppey Srinivasan Balamuralikrishna, Kenneth C. Wang, Ronald M. Summers, Zhiyong Lu
2026 J jnl
Diagnosing and Improving Vector-Quantization-Based Blind Image Restoration.
IEEE Trans. Image Process.
Hongyu Li, Tianyi Xu, Zengyou Wang, Xiantong Zhen, Ran Gu, David Zhang, Jun Xu
2026 J jnl
Large Language Model for Discrete Optimization Problems: Evaluation and Step-by-step Reasoning.
CoRR
Tianhao Qian, Guilin Qi, Z. Y. Wu, Ran Gu, Xuanyi Liu, Canchen Lyu
2026 J jnl
PL-Seg: Partially labeled abdominal organ segmentation via classwise orthogonal contrastive learning and progressive self-distillation.
Medical Image Anal.
He Li, Xiangde Luo, Jia Fu, Ran Gu, Wenjun Liao, Shichuan Zhang, Kang Li, Guotai Wang, Shaoting Zhang
2026 J jnl
SA-PINN: A self-attention enhanced physics-informed neural network for multiaxial fatigue life prediction with small samples.
Adv. Eng. Softw.
Yu Wang, Yue Li, Shunpeng Zhu, Ran Gu, Xinhao Shu, Zhengwei Fan, Shufeng Zhang
2025 J jnl
A Landweber-type iteration with non-smooth convex constraints for ill-posed problems with noisy operators.
J. Appl. Math. Comput.
Ran Gu, Chaofeng Dong, Wei Wang
2025 J jnl
A note on rainbow stackings of random edge-colorings of hypergraphs.
Discret. Math.
Ran Gu
2025 J jnl
ACformer: A unified transformer for arbitrary-frame image exposure correction.
Neural Networks
Chao Li, Yuchen Yang, Qiujia He, Ran Gu, Lei Zhang, Jun Xu
2025 J jnl
CbLDM: A Diffusion Model for recovering nanostructure from pair distribution function.
CoRR
Jiarui Cao, Zhiyang Zhang, Heming Wang, Jun Xu, Ling Lan, Ran Gu, Simon J. L. Billinge
2025 J jnl
Convergence analysis of Wirtinger Flow for Poisson phase retrieval.
CoRR
Bing Gao, Ran Gu, Shigui Ma
2025 J jnl
The Degree and Codegree Threshold for Generalized Triangle and Some Trees Covering.
Int. J. Found. Comput. Sci.
Ran Gu, Shuaichao Wang
2024 J jnl
A note on rainbow-free colorings of uniform hypergraphs.
Discret. Appl. Math.
Ran Gu, Hui Lei, Yongtang Shi, Yiqiao Wang
2024 J jnl
Domain composition and attention network trained with synthesized unlabeled images for generalizable medical image segmentation.
Neurocomputing
Jiangshan Lu, Ran Gu, Wenjun Liao, Shichuan Zhang, Huijun Yu, Shaoting Zhang, Guotai Wang
2024 J jnl
On Extremal Problems on Multigraphs.
Graphs Comb.
Ran Gu, Shuaichao Wang
2024 J jnl
One-Shot Weakly-Supervised Segmentation in 3D Medical Images.
IEEE Trans. Medical Imaging
Wenhui Lei, Qi Su, Tianyu Jiang, Ran Gu, Na Wang, Xinglong Liu, Guotai Wang, Xiaofan Zhang, Shaoting Zhang
2024 — conf
Self-Supervised Pre-Training Based On Contrastive Complementary Masking for Semi-Supervised Cardiac Image Segmentation.
ISBI
Yubo Zhou, Ran Gu, Shaoting Zhang, Guotai Wang
2023 J jnl
CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation.
Medical Image Anal.
Ran Gu, Guotai Wang, Jiangshan Lu, Jingyang Zhang, Wenhui Lei, Yinan Chen, Wenjun Liao, Shichuan Zhang, Kang Li, Dimitris N. Metaxas, Shaoting Zhang
2023 J jnl
Contrastive Semi-Supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures.
IEEE Trans. Medical Imaging
Ran Gu, Jingyang Zhang, Guotai Wang, Wenhui Lei, Tao Song, Xiaofan Zhang, Kang Li, Shaoting Zhang
2023 J jnl
Low-carbon tourism supply chain network optimisation with vertical and horizontal cooperations.
Int. J. Prod. Res.
Shigui Ma, Yong He, Ran Gu
2023 J jnl
PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation.
Comput. Methods Programs Biomed.
Guotai Wang, Xiangde Luo, Ran Gu, Shuojue Yang, Yijie Qu, Shuwei Zhai, Qianfei Zhao, Kang Li, Shaoting Zhang
2023 J jnl
S
IEEE Trans. Medical Imaging
Jingyang Zhang, Ran Gu, Peng Xue, Mianxin Liu, Hao Zheng, Yefeng Zheng, Lei Ma, Guotai Wang, Lixu Gu
2023 J jnl
UPL-SFDA: Uncertainty-Aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation.
IEEE Trans. Medical Imaging
Jianghao Wu, Guotai Wang, Ran Gu, Tao Lu, Yinan Chen, Wentao Zhu, Tom Vercauteren, Sébastien Ourselin, Shaoting Zhang
2023 J jnl
UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation.
CoRR
Jianghao Wu, Guotai Wang, Ran Gu, Tao Lu, Yinan Chen, Wentao Zhu, Tom Vercauteren, Sébastien Ourselin, Shaoting Zhang
2023 — conf
UPL-TTA: Uncertainty-Aware Pseudo Label Guided Fully Test Time Adaptation for Fetal Brain Segmentation.
IPMI
Jianghao Wu, Ran Gu, Tao Lu, Shaoting Zhang, Guotai Wang
2022 J jnl
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image Segmentation.
CoRR
Ran Gu, Guotai Wang, Jiangshan Lu, Jingyang Zhang, Wenhui Lei, Yinan Chen, Wenjun Liao, Shichuan Zhang, Kang Li, Dimitris N. Metaxas, Shaoting Zhang
2022 J jnl
Contrastive Domain Disentanglement for Generalizable Medical Image Segmentation.
CoRR
Ran Gu, Jiangshan Lu, Jingyang Zhang, Wenhui Lei, Xiaofan Zhang, Guotai Wang, Shaoting Zhang
2022 J jnl
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures.
CoRR
Ran Gu, Jingyang Zhang, Guotai Wang, Wenhui Lei, Tao Song, Xiaofan Zhang, Kang Li, Shaoting Zhang
2022 — conf
FPL-UDA: Filtered Pseudo Label-Based Unsupervised Cross-Modality Adaptation for Vestibular Schwannoma Segmentation.
ISBI
Jianghao Wu, Ran Gu, Guiming Dong, Guotai Wang, Shaoting Zhang
2022 — conf
Learning Towards Synchronous Network Memorizability and Generalizability for Continual Segmentation Across Multiple Sites.
MICCAI (5)
Jingyang Zhang, Peng Xue, Ran Gu, Yuning Gu, Mianxin Liu, Yongsheng Pan, Zhiming Cui, Jiawei Huang, Lei Ma, Dinggang Shen
2022 J jnl
Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites.
CoRR
Jingyang Zhang, Peng Xue, Ran Gu, Yuning Gu, Mianxin Liu, Yongsheng Pan, Zhiming Cui, Jiawei Huang, Lei Ma, Dinggang Shen
2022 J jnl
Maximisers of the hypergraph Lagrangian outside the principal range.
Appl. Math. Comput.
Ran Gu, Hui Lei, Yuejian Peng, Yongtang Shi
2022 J jnl
On k-uniform random hypergraphs without generalized fans.
Discret. Appl. Math.
Ran Gu, Hui Lei, Yongtang Shi
2022 J jnl
PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation.
CoRR
Guotai Wang, Xiangde Luo, Ran Gu, Shuojue Yang, Yijie Qu, Shuwei Zhai, Qianfei Zhao, Kang Li, Shaoting Zhang
2022 J jnl
Smallest number of vertices in a 2-arc-strong digraph without good pairs.
Theor. Comput. Sci.
Ran Gu, Gregory Z. Gutin, Shasha Li, Yongtang Shi, Zhenyu Taoqiu
2022 J jnl
ℓ $\ell $ -Connectivity and ℓ $\ell $ -edge-connectivity of random graphs.
J. Graph Theory
Ran Gu, Xiaofeng Gu, Yongtang Shi, Hua Wang
2021 J jnl
A fast two-stage algorithm for non-negative matrix factorization in streaming data.
CoRR
Ran Gu, Qiang Du, Simon J. L. Billinge
2021 — conf
Analysis on the Construction of Diversified Innovation and Entrepreneurship Education Mode in Colleges under the Background of "Internet +".
ICISCAE (ACM)
Ran Gu
2021 J jnl
Automatic Segmentation of Gross Target Volume of Nasopharynx Cancer using Ensemble of Multiscale Deep Neural Networks with Spatial Attention.
CoRR
Haochen Mei, Wenhui Lei, Ran Gu, Shan Ye, Zhengwentai Sun, Shichuan Zhang, Guotai Wang
2021 J jnl
Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted Loss.
CoRR
Wenhui Lei, Haochen Mei, Zhengwentai Sun, Shan Ye, Ran Gu, Huan Wang, Rui Huang, Shichuan Zhang, Shaoting Zhang, Guotai Wang
2021 J jnl
Automatic segmentation of gross target volume of nasopharynx cancer using ensemble of multiscale deep neural networks with spatial attention.
Neurocomputing
Haochen Mei, Wenhui Lei, Ran Gu, Shan Ye, Zhengwentai Sun, Shichuan Zhang, Guotai Wang
2021 J jnl
Automatic segmentation of organs-at-risk from head-and-neck CT using separable convolutional neural network with hard-region-weighted loss.
Neurocomputing
Wenhui Lei, Haochen Mei, Zhengwentai Sun, Shan Ye, Ran Gu, Huan Wang, Rui Huang, Shichuan Zhang, Shaoting Zhang, Guotai Wang
2021 J jnl
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.
IEEE Trans. Medical Imaging
Ran Gu, Guotai Wang, Tao Song, Rui Huang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang
2021 — conf
Comprehensive Importance-Based Selective Regularization for Continual Segmentation Across Multiple Sites.
MICCAI (1)
Jingyang Zhang, Ran Gu, Guotai Wang, Lixu Gu
2021 — conf
Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images.
MICCAI (2)
Wenhui Lei, Wei Xu, Ran Gu, Hao Fu, Shaoting Zhang, Shichuan Zhang, Guotai Wang
2021 — conf
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation.
MICCAI (3)
Ran Gu, Jingyang Zhang, Rui Huang, Wenhui Lei, Guotai Wang, Shaoting Zhang
2021 J jnl
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation.
CoRR
Ran Gu, Jingyang Zhang, Rui Huang, Wenhui Lei, Guotai Wang, Shaoting Zhang
2021 J jnl
Dynamic generic and brand advertising decisions under supply disruption.
Int. J. Prod. Res.
Shigui Ma, Yong He, Ran Gu
2021 J jnl
Mixed connectivity properties of random graphs and some special graphs.
J. Comb. Optim.
Ran Gu, Yongtang Shi, Neng Fan
2021 J jnl
One-shot Weakly-Supervised Segmentation in Medical Images.
CoRR
Wenhui Lei, Qi Su, Ran Gu, Na Wang, Xinglong Liu, Guotai Wang, Xiaofan Zhang, Shaoting Zhang
2021 — conf
Priori and Posteriori Attention for Generalizing Head and Neck Tumors Segmentation.
HECKTOR@MICCAI
Jiangshan Lu, Wenhui Lei, Ran Gu, Guotai Wang
2021 — conf
SS-CADA: A Semi-Supervised Cross-Anatomy Domain Adaptation for Coronary Artery Segmentation.
ISBI
Jingyang Zhang, Ran Gu, Guotai Wang, Hongzhi Xie, Lixu Gu
2021 J jnl
SS-CADA: A Semi-Supervised Cross-Anatomy Domain Adaptation for Coronary Artery Segmentation.
CoRR
Jingyang Zhang, Ran Gu, Guotai Wang, Hongzhi Xie, Lixu Gu
2021 C conf
The Smallest Number of Vertices in a 2-Arc-Strong Digraph Without Pair of Arc-Disjoint In- and Out-Branchings.
COCOA
Ran Gu, Gregory Z. Gutin, Shasha Li, Yongtang Shi, Zhenyu Taoqiu
2020 J jnl
Anti-Ramsey Numbers of Paths and Cycles in Hypergraphs.
SIAM J. Discret. Math.
Ran Gu, Jiaao Li, Yongtang Shi
2020 J jnl
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.
CoRR
Ran Gu, Guotai Wang, Tao Song, Rui Huang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang
2020 J jnl
Conflict-free connection number of random graphs.
Discret. Appl. Math.
Ran Gu, Xueliang Li
2020 — conf
Myocardial Edema and Scar Segmentation Using a Coarse-to-Fine Framework with Weighted Ensemble.
MyoPS@MICCAI
Shuwei Zhai, Ran Gu, Wenhui Lei, Guotai Wang
2020 J jnl
Note on matching preclusion number of random graphs.
Theor. Comput. Sci.
Ran Gu, Yaping Mao, Guoju Ye
2020 J jnl
One-Shot Object Localization in Medical Images based on Relative Position Regression.
CoRR
Wenhui Lei, Wei Xu, Ran Gu, Hao Fu, Shaoting Zhang, Guotai Wang
2020 J jnl
Validation of non-negative matrix factorization for assessment of atomic pair-distribution function (PDF) data in a real-time streaming context.
CoRR
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
2019 J jnl
Collapsible subgraphs of a 4-edge-connected graph.
Discret. Appl. Math.
Ran Gu, Hong-Jian Lai, Yanting Liang, Zhengke Miao, Meng Zhang
2019 — conf
DeepIGeoS-V2: Deep Interactive Segmentation of Multiple Organs from Head and Neck Images with Lightweight CNNs.
LABELS/HAL-MICCAI/CuRIOUS@MICCAI
Wenhui Lei, Huan Wang, Ran Gu, Shichuan Zhang, Shaoting Zhang, Guotai Wang
2019 B conf
Feedback Equilibrium for Dynamic Competitive and Cooperative Advertising.
KES
Shigui Ma, Yong He, Ran Gu, Sijie Li
2019 J jnl
Note on directed proper connection number of a random graph.
Appl. Math. Comput.
Ran Gu, Bo Deng, Rui Li
2019 J jnl
xEV Li-Ion Battery Low-Temperature Effects - Review.
IEEE Trans. Veh. Technol.
Carlos Vidal, Oliver Gross, Ran Gu, Phillip J. Kollmeyer, Ali Emadi
2018 — conf
Automated Segmentation of Intervertebral Disc Using Fully Dilated Separable Deep Neural Networks.
CSI@MICCAI
Huan Wang, Ran Gu, Zhongyu Li
2018 J jnl
Non-jumping numbers for 5-uniform hypergraphs.
Appl. Math. Comput.
Ran Gu, Xueliang Li, Zhongmei Qin, Yongtang Shi, Kang Yang
2018 J jnl
On extremal hypergraphs for forests of tight paths.
Appl. Math. Comput.
Ran Gu, Rui Li
2017 — conf
Mixed Connectivity of Random Graphs.
COCOA (1)
Ran Gu, Yongtang Shi, Neng Fan
2016 J jnl
Battery State-of-Power Peak Current Calculation and Verification Using an Asymmetric Parameter Equivalent Circuit Model.
IEEE Trans. Veh. Technol.
Pawel Malysz, Jin Ye, Ran Gu, Hong Yang, Ali Emadi
2016 J jnl
Proper connection number of random graphs.
Theor. Comput. Sci.
Ran Gu, Xueliang Li, Zhongmei Qin
2016 J jnl
Some Motzkin-Straus type results for non-uniform hypergraphs.
J. Comb. Optim.
Ran Gu, Xueliang Li, Yuejian Peng, Yongtang Shi
2013 J jnl
Efficient Loss Inference Algorithm Using Unicast End-to-End Measurements.
J. Netw. Syst. Manag.
Yan Qiao, Xuesong Qiu, Luoming Meng, Ran Gu
2012 J jnl
Differential evolution based on ε-domination and orthogonal design method for power environmentally-friendly dispatch.
Expert Syst. Appl.
Ke Xu, Jianzhong Zhou, Yongchuan Zhang, Ran Gu
2012 C conf
Network loss tomography using link independence.
ISCC
Yan Qiao, Guanjue Wang, Xuesong Qiu, Ran Gu
2012 C conf
Non-stationary link inference and localization in communication networks.
ISCC
Ran Gu, Yan Qiao, Xuesong Qiu
2011 J jnl
Approach for aggregating interval-valued intuitionistic fuzzy information and its application to reservoir operation.
Expert Syst. Appl.
Ke Xu, Jianzhong Zhou, Ran Gu, Hui Qin
2010 — conf
The Compound Consistency Induced Ordered Weighted Averaging operator and its application to reservoir operation.
FSKD
Ke Xu, Jianzhong Zhou, Ran Gu, Hui Qin
2009 — conf
Decision-Making for Ecological Reservoir Operation Based on Lamda Fuzzy Measures.
FSKD (4)
Ke Xu, Jianzhong Zhou, Ran Gu, Hui Qin