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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j32]Rong Liu, Ke Guo
:
Insights into unexpected relapse and recovery in HCV-infected patients by studying a stochastic within-host HCV model. Appl. Math. Lett. 149: 108937 (2024)- [j31]Ke Guo, Donghong Zhao, Zhaosheng Feng:
Lyapunov functionals for a virus dynamic model with general monotonic incidence, two time delays, CTL and antibody immune responses. Appl. Math. Lett. 158: 109212 (2024) - [j30]Chun He, Youhua Wei, Ke Guo, Hongwei Han:
Removal of Mixed Noise in Hyperspectral Images Based on Subspace Representation and Nonlocal Low-Rank Tensor Decomposition. Sensors 24(2): 327 (2024) - [j29]Jingyao Hou, Xinling Liu, Hailin Wang, Ke Guo:
Tensor recovery from binary measurements fused low-rankness and smoothness. Signal Process. 221: 109480 (2024) - [c12]Yuyao Zhang, Ke Guo, Xiao Zhou:
Causally Aware Generative Adversarial Networks for Light Pollution Control. AAAI 2024: 22529-22537 - [c11]Ke Guo, Zhenwei Miao, Wei Jing, Weiwei Liu, Weizi Li, Dayang Hao, Jia Pan:
LASIL: Learner-Aware Supervised Imitation Learning For Long-Term Microscopic Traffic Simulation. CVPR 2024: 15386-15395 - [i7]Yuyao Zhang, Ke Guo, Xiao Zhou:
Causally Aware Generative Adversarial Networks for Light Pollution Control. CoRR abs/2401.06453 (2024) - 2023
- [j28]Yuchai Wan, Shuqin Jia, Yifan Li, Rui Wang, Ke Guo, Murong Wang, Ruijun Liu:
A hierarchical fine-grained classification approach for COVID-19 severity assessment based on CT images. Comput. Electr. Eng. 112: 109011 (2023) - [j27]Rong Liu, Wanbiao Ma, Ke Guo:
The general chemostat model with multiple nutrients and flocculating agent: From deterministic behavior to stochastic forcing transition. Commun. Nonlinear Sci. Numer. Simul. 117: 106910 (2023) - [c10]Weiwei Liu, Wei Jing, Lingping Gao, Ke Guo, Gang Xu, Yong Liu:
TraCo: Learning Virtual Traffic Coordinator for Cooperation with Multi-Agent Reinforcement Learning. CoRL 2023: 2465-2477 - [c9]Ke Guo, Wei Jing, Junbo Chen, Jia Pan:
CCIL: Context-conditioned imitation learning for urban driving. Robotics: Science and Systems 2023 - [i6]Ke Guo, Wei Jing, Junbo Chen, Jia Pan:
CCIL: Context-conditioned imitation learning for urban driving. CoRR abs/2305.02649 (2023) - [i5]Ke Guo, Wei Jing, Lingping Gao, Weiwei Liu, Weizi Li, Jia Pan:
Long-term Microscopic Traffic Simulation with History-Masked Multi-agent Imitation Learning. CoRR abs/2306.06401 (2023) - [i4]Tengju Ye, Wei Jing, Chunyong Hu, Shikun Huang, Lingping Gao, Fangzhen Li, Jingke Wang, Ke Guo, Wencong Xiao, Weibo Mao, Hang Zheng, Kun Li, Junbo Chen, Kaicheng Yu:
FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving. CoRR abs/2308.01006 (2023) - 2022
- [j26]Wenbin Yao, Ke Guo, Yingying Hou, Xiaoyong Li:
Hierarchical Structure-Feature Aware Graph Neural Network for Node Classification. IEEE Access 10: 36846-36855 (2022) - [j25]Ke Guo, Keying Song, Wanbiao Ma:
Existence of positive periodic solutions of a delayed periodic Microcystins degradation model with nonlinear functional responses. Appl. Math. Lett. 131: 108056 (2022) - [j24]Ruichun Chang, Zhe Chen, Daming Wang, Ke Guo:
Hyperspectral Remote Sensing Inversion and Monitoring of Organic Matter in Black Soil Based on Dynamic Fitness Inertia Weight Particle Swarm Optimization Neural Network. Remote. Sens. 14(17): 4316 (2022) - [c8]Ke Guo, Wenxi Liu, Jia Pan:
End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps. CVPR 2022: 2232-2241 - [i3]Ke Guo, Wenxi Liu, Jia Pan:
End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps. CoRR abs/2203.16910 (2022) - 2021
- [j23]Jianlong Guo, Qinghua Wu, Ke Guo, Shan Xiong, Weixia Feng, Jiang Xue:
Study on the Construction and Application of Digital Twins on High Voltage Transmission Line Live Working Scenes. IEEE Access 9: 111587-111594 (2021) - [j22]Ke Guo, Wanbiao Ma:
Permanence and extinction for a nonautonomous Kawasaki disease model with time delays. Appl. Math. Lett. 122: 107511 (2021) - [j21]Ke Guo, Dawei Wang, Tingxiang Fan, Jia Pan:
VR-ORCA: Variable Responsibility Optimal Reciprocal Collision Avoidance. IEEE Robotics Autom. Lett. 6(3): 4520-4527 (2021) - [j20]Ke Guo, Yang Qi, Jiale Yu, David Frey, Yi Tang:
A Converter-Based Power System Stabilizer for Stability Enhancement of Droop-Controlled Islanded Microgrids. IEEE Trans. Smart Grid 12(6): 4616-4626 (2021) - 2020
- [j19]Guxi Wang, Hongwei Han, Emmanuel John M. Carranza, Si Guo, Ke Guo, Keyan Xiao:
Tensor-Based Low-Rank and Sparse Prior Information Constraints for Hyperspectral Image Denoising. IEEE Access 8: 102935-102946 (2020) - [j18]Ke Guo, Lichuang Cui, Mingxuan Mao, Lin Zhou, Qianjin Zhang:
An Improved Gray Wolf Optimizer MPPT Algorithm for PV System With BFBIC Converter Under Partial Shading. IEEE Access 8: 103476-103490 (2020) - [j17]Ke Guo, Wanbiao Ma, Rong Qiang:
On global stability of the equilibria of an ordinary differential equation model of Kawasaki disease pathogenesis. Appl. Math. Lett. 105: 106319 (2020) - [j16]Yuncheng Liu, Ke Guo, Mei-Jia Yang:
Convergence study on the logarithmic-quadratic proximal regularization of strictly contractive Peaceman-Rachford splitting method with larger step-size. Int. J. Comput. Math. 97(8): 1744-1766 (2020) - [j15]Hongwei Han, Guxi Wang, Maozhi Wang, Jiaqing Miao, Si Guo, Ling Chen, Mingyue Zhang, Ke Guo:
Hyperspectral Unmixing Via Nonconvex Sparse and Low-Rank Constraint. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 5704-5718 (2020)
2010 – 2019
- 2019
- [j14]Jianchao Bai, Ke Guo, Xiaokai Chang:
A Family of Multi-Parameterized Proximal Point Algorithms. IEEE Access 7: 164021-164028 (2019) - [j13]Hongwei Han, Ke Guo, Maozhi Wang, Tingbin Zhang, Shuang Zhang:
Fast Hyperspectral Unmixing via Reweighted Sparse Regression. IEICE Trans. Inf. Syst. 102-D(9): 1819-1832 (2019) - [i2]Jianchao Bai, Junli Liang, Ke Guo, Yang Jing:
Accelerated Symmetric ADMM and Its Applications in Signal Processing. CoRR abs/1906.12015 (2019) - [i1]Jianchao Bai, Ke Guo, Xiaokai Chang:
A family of multi-parameterized proximal point algorithms. CoRR abs/1907.04469 (2019) - 2018
- [j12]Ke Guo, Deren Han:
A note on the Douglas-Rachford splitting method for optimization problems involving hypoconvex functions. J. Glob. Optim. 72(3): 431-441 (2018) - [j11]Boxuan Zhao, Jianmin Gao, Kun Chen, Ke Guo:
Two-generation Pareto ant colony algorithm for multi-objective job shop scheduling problem with alternative process plans and unrelated parallel machines. J. Intell. Manuf. 29(1): 93-108 (2018) - [j10]Ke Guo, Xiabi Liu, Lunhao Guo, Zongjie Li, Zengmin Geng:
A new constrained maximum margin approach to discriminative learning of Bayesian classifiers. Frontiers Inf. Technol. Electron. Eng. 19(5): 639-650 (2018) - [c7]Xiaodong Yang, Aijun He, Jiaqi Han, Ke Guo:
Detection of the Nonlinearity in Human ECG Physiological Signals. CISP-BMEI 2018: 1-5 - [c6]Huibo Li, Yinan Jiang, Yunxiang Yang, Jing Guo, Xiaocheng Hu, Ke Guo, Bo Zhang, Jing Cheng:
Survey of Big Data Application Technology on Multimedia Data of Public Security. CSPS (3) 2018: 105-112 - [c5]Bo Zhang, Ke Guo, Yunxiang Yang, Jing Guo, Xueying Zhang, Xiaocheng Hu, Yinan Jiang, Xinhai Zhang:
Pedestrian Detection Based on Deep Neural Network in Video Surveillance. CSPS (3) 2018: 113-120 - [c4]Xiaocheng Hu, Bo Zhang, Huibo Li, Jing Guo, Yunxiang Yang, Yinan Jiang, Ke Guo:
A Gradient Invariant DCT-Based Image Watermarking Scheme for Object Detection. CSPS (2) 2018: 923-931 - [c3]Yingyue Qi, Chi Zhang, Zhuo Zhi, Ke Guo, Danhuai Guo:
A VGI-based Foodborn Disease Report and Forecast System. EM-GIS@SIGSPATIAL 2018: 18:1-18:7 - 2017
- [j9]Ke Guo, Deren Han, Tingting Wu:
Convergence of alternating direction method for minimizing sum of two nonconvex functions with linear constraints. Int. J. Comput. Math. 94(8): 1653-1669 (2017) - [j8]Hui Chen, Jun Feng, Bin Zhou, Ying Hu, Ke Guo:
An Anisotropic Diffusion-Based Dynamic Combined Energy Model for Seismic Denoising. IEEE Geosci. Remote. Sens. Lett. 14(7): 1061-1065 (2017) - [j7]Ke Guo, Deren Han, Xiaoming Yuan:
Convergence Analysis of Douglas-Rachford Splitting Method for "Strongly + Weakly" Convex Programming. SIAM J. Numer. Anal. 55(4): 1549-1577 (2017) - 2016
- [j6]Yue Wang, Renfeng Song, Huan Feng, Ke Guo, Qingtao Meng, Haijun Chi, Run Zhang, Zhiqiang Zhang:
Visualization of Fluoride Ions In Vivo Using a Gadolinium(III)-Coumarin Complex-Based Fluorescence/MRI Dual-Modal Probe. Sensors 16(12): 2165 (2016) - 2015
- [c2]Ke Guo, Xingce Wang, Zhongke Wu, Ting Zhang, Mingquan Zhou:
Modelling and Simulation of Weft Knitted Fabric Based on Ball B-Spline Curves and Hooke's Law. CW 2015: 86-89 - 2014
- [j5]Cheng-yu Hou, Ke Guo, Si Tiange, Yuxin Wang:
Study on the Detectability of the Sky-Surface Wave Hybrid Radar. J. Appl. Math. 2014: 602075:1-602075:10 (2014) - [j4]Feng Yin, Ke Guo, Guang-Xin Huang, Bormin Huang:
The inverse eigenproblem with a submatrix constraint and the associated approximation problem for (R, S)-symmetric matrices. J. Comput. Appl. Math. 268: 23-33 (2014) - 2012
- [c1]Maozhi Wang, Da-Ming Wang, Wenxi Xu, Bin-yang Chen, Ke Guo:
Parallel computing of covariance matrix and its application on hyperspectral data process. IGARSS 2012: 4058-4061 - 2011
- [j3]Guang-Xin Huang, Huafu Chen, Zhongli Zhou, Feng Yin, Ke Guo:
Two-class support vector data description. Pattern Recognit. 44(2): 320-329 (2011) - 2010
- [j2]Guang-Xin Huang, Feng Yin, Huafu Chen, Ling Chen, Ke Guo:
Matrix inverse problem and its optimal approximation problem for R-skew symmetric matrices. Appl. Math. Comput. 216(12): 3515-3521 (2010)
2000 – 2009
- 2007
- [j1]Guang-Xin Huang, Feng Yin, Ke Guo:
The general solutions on the minimum residual problem and the matrix nearness problem for symmetric matrices or anti-symmetric matrices. Appl. Math. Comput. 194(1): 85-91 (2007)
Coauthor Index
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