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Yun Guan
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2020 – today
- 2023
- [j9]Fan Wu, Hao Ma, Yun Guan, Lixia Tian:
Manifold-based unsupervised metric Learning, with applications in individualized predictions based on functional connectivity. Biomed. Signal Process. Control. 79(Part): 104081 (2023) - [j8]Hao Ma, Fan Wu, Yun Guan, Le Xu, Jiangcong Liu, Lixia Tian:
BrainNet with Connectivity Attention for Individualized Predictions Based on Multi-Facet Connections Extracted from Resting-State fMRI Data. Cogn. Comput. 15(5): 1566-1580 (2023) - [j7]Le Xu, Hao Ma, Yun Guan, Jiangcong Liu, Huifang Huang, Yang Zhang, Lixia Tian:
A Siamese Network With Node Convolution for Individualized Predictions Based on Connectivity Maps Extracted From Resting-State fMRI Data. IEEE J. Biomed. Health Informatics 27(11): 5418-5429 (2023) - [c11]Jiangcong Liu, Le Xu, Yun Guan, Hao Ma, Lixia Tian:
CL-ADDA: Contrastive Learning with Amplitude-Driven Data Augmentation for fMRI-Based Individualized Predictions. MICCAI (1) 2023: 384-393 - 2022
- [j6]Christine Beauchene, Claire A. Zurn, Wanru Duan, Yun Guan, Sridevi V. Sarma:
The future of therapeutic peripheral nerve stimulation for chronic pain. Annu. Rev. Control. 54: 377-385 (2022) - 2021
- [c10]Christine Beauchene, Claire A. Zurn, Wanru Duan, Yun Guan, Sridevi V. Sarma:
Towards Robust Control of PNS for Chronic Pain: Modeling Spinal Cord Wide-Dynamic Range Neurons with Structured Uncertainty. EMBC 2021: 4399-4402 - [c9]Claire A. Zurn, Christine Beauchene, Wanru Duan, Yun Guan, Sridevi V. Sarma:
Predicting Wide-Dynamic Range Neuron Activity from Peripheral Nerve Stimulation using Linear Parameter Varying Models. EMBC 2021: 4428-4431 - 2020
- [j5]Peihao Li, Fengbao Yang, Jing Zhang, Yun Guan, Anhong Wang, Jie Liang:
Synthesis-Distortion-Aware Hybrid Digital Analog Transmission for 3D Videos. IEEE Access 8: 85128-85139 (2020) - [j4]Yun Guan, Bingda Zhang, Zhao Jin:
An FRTDS Real-Time Simulation Optimized Task Scheduling Algorithm Based on Reinforcement Learning. IEEE Access 8: 155797-155810 (2020) - [j3]Kaixuan Cuan, Tiemin Zhang, Junduan Huang, Cheng Fang, Yun Guan:
Detection of avian influenza-infected chickens based on a chicken sound convolutional neural network. Comput. Electron. Agric. 178: 105688 (2020)
2010 – 2019
- 2019
- [c8]Christine Beauchene, Pierre Sacré, Fei Yang, Yun Guan, Sridevi V. Sarma:
Modeling Responses to Peripheral Nerve Stimulation in the Dorsal Horn. EMBC 2019: 2324-2327 - 2018
- [j2]Vijay Sadashivaiah, Pierre Sacré, Yun Guan, William S. Anderson, Sridevi V. Sarma:
Modeling the interactions between stimulation and physiologically induced APs in a mammalian nerve fiber: dependence on frequency and fiber diameter. J. Comput. Neurosci. 45(3): 193-206 (2018) - [c7]Vijay Sadashivaiah, Pierre Sacré, Yun Guan, William S. Anderson, Sridevi V. Sarma:
Studying the interactions in a mammalian nerve fiber: a functional modeling approach. EMBC 2018: 3525-3528 - [c6]Vijay Sadashivaiah, Pierre Sacré, Yun Guan, William S. Anderson:
Selective relay of afferent sensory-induced action potentials from peripheral nerve to brain and the effects of electrical stimulation. EMBC 2018: 3606-3609 - 2017
- [c5]Vijay Sadashivaiah, Pierre Sacré, Yun Guan, William S. Anderson, Sridevi V. Sarma:
Modeling electrical stimulation of mammalian nerve fibers: A mechanistic versus probabilistic approach. EMBC 2017: 3868-3871 - 2015
- [c4]Pierre Sacré, Sridevi V. Sarma, Yun Guan, William S. Anderson:
Electrical neurostimulation for chronic pain: On selective relay of sensory neural activities in myelinated nerve fibers. EMBC 2015: 4705-4708 - 2011
- [j1]Yun Guan, Jan Verschelde:
Sampling algebraic sets in local intrinsic coordinates. Comput. Math. Appl. 62(10): 3706-3721 (2011)
2000 – 2009
- 2008
- [c3]Yun Guan, Jan Verschelde:
Parallel Implementation of a Subsystem-by-Subsystem Solver. HPCS 2008: 117-123 - 2007
- [c2]Xun Luo, Katherine Piret, Yun Guan:
A service framework for Temporal Link Analysis with historical segments integration. SMC 2007: 379-384 - 2006
- [c1]Xun Luo, Robert V. Kenyon, Yun Guan:
Pervasive Web Community Structure Summarization: A Machine Learning Approach. MLMTA 2006: 189-195
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