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Shi Gu
Shi Gu
University of Electronic Science and Technology of China
Verified email at sas.upenn.edu - Homepage
Title
Cited by
Cited by
Year
Controllability of structural brain networks
S Gu, F Pasqualetti, M Cieslak, QK Telesford, AB Yu, AE Kahn, ...
Nature communications 6 (1), 8414, 2015
8632015
Linked dimensions of psychopathology and connectivity in functional brain networks
CH Xia, Z Ma, R Ciric, S Gu, RF Betzel, AN Kaczkurkin, ME Calkins, ...
Nature communications 9 (1), 3003, 2018
4382018
Brecq: Pushing the limit of post-training quantization by block reconstruction
Y Li, R Gong, X Tan, Y Yang, P Hu, Q Zhang, F Yu, W Wang, S Gu
International Conference on Learning Representations (ICLR) 2021, 2021
4002021
Emergence of system roles in normative neurodevelopment
S Gu, TD Satterthwaite, JD Medaglia, M Yang, RE Gur, RC Gur, ...
Proceedings of the National Academy of Sciences 112 (44), 13681-13686, 2015
3512015
Stimulation-based control of dynamic brain networks
SF Muldoon, F Pasqualetti, S Gu, M Cieslak, ST Grafton, JM Vettel, ...
PLoS computational biology 12 (9), e1005076, 2016
3082016
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting
S Deng, Y Li, S Zhang, S Gu
International Conference on Learning Representations (ICLR) 2022, 2022
2582022
Optimally controlling the human connectome: the role of network topology
RF Betzel, S Gu, JD Medaglia, F Pasqualetti, DS Bassett
Scientific reports 6 (1), 30770, 2016
2572016
Differentiable spike: Rethinking gradient-descent for training spiking neural networks
Y Li, Y Guo, S Zhang, S Deng, Y Hai, S Gu
Advances in Neural Information Processing Systems 34, 23426-23439, 2021
2392021
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
S Deng, S Gu
International Conference on Learning Representations (ICLR) 2021, 2021
2272021
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration
Y Li, S Deng, X Dong, R Gong, S Gu
International Conference on Machine Learning (ICML) 2021, 2021
2032021
Optimal trajectories of brain state transitions
S Gu, RF Betzel, MG Mattar, M Cieslak, PR Delio, ST Grafton, ...
NeuroImage 148, 305-317, 2017
1892017
Developmental increases in white matter network controllability support a growing diversity of brain dynamics
E Tang, C Giusti, GL Baum, S Gu, E Pollock, AE Kahn, DR Roalf, ...
Nature communications 8 (1), 1252, 2017
1862017
Detecting hierarchical genome folding with network modularity
HK Norton, DJ Emerson, H Huang, J Kim, KR Titus, S Gu, DS Bassett, ...
Nature methods 15 (2), 119-122, 2018
1332018
The energy landscape of neurophysiological activity implicit in brain network structure
S Gu, M Cieslak, B Baird, SF Muldoon, ST Grafton, F Pasqualetti, ...
Scientific reports 8 (1), 2507, 2018
1132018
Temporal lobe epilepsy: Hippocampal pathology modulates connectome topology and controllability
BC Bernhardt, F Fadaie, M Liu, B Caldairou, S Gu, E Jefferies, ...
Neurology 92 (19), e2209-e2220, 2019
1102019
Optimization of energy state transition trajectory supports the development of executive function during youth
Z Cui, J Stiso, GL Baum, JZ Kim, DR Roalf, RF Betzel, S Gu, Z Lu, CH Xia, ...
elife 9, e53060, 2020
792020
Interpretable multimodality embedding of cerebral cortex using attention graph network for identifying bipolar disorder
H Yang, X Li, Y Wu, S Li, S Lu, JS Duncan, JC Gee, S Gu
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
612019
The energy landscape underpinning module dynamics in the human brain connectome
A Ashourvan, S Gu, MG Mattar, JM Vettel, DS Bassett
Neuroimage 157, 364-380, 2017
582017
Functional hypergraph uncovers novel covariant structures over neurodevelopment
S Gu, M Yang, JD Medaglia, RC Gur, RE Gur, TD Satterthwaite, ...
Human brain mapping 38 (8), 3823-3835, 2017
522017
Robust medical image segmentation from non-expert annotations with tri-network
T Zhang, L Yu, N Hu, S Lv, S Gu
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
512020
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