| Controllability of structural brain networks S Gu, F Pasqualetti, M Cieslak, QK Telesford, AB Yu, AE Kahn, ... Nature communications 6 (1), 8414, 2015 | 882 | 2015 |
| 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 | 464 | 2021 |
| 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 | 451 | 2018 |
| 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 | 356 | 2015 |
| 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 | 313 | 2022 |
| 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 | 310 | 2016 |
| 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 | 279 | 2021 |
| 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 | 259 | 2016 |
| Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks S Deng, S Gu International Conference on Learning Representations (ICLR) 2021, 2021 | 255 | 2021 |
| 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 | 224 | 2021 |
| Optimal trajectories of brain state transitions S Gu, RF Betzel, MG Mattar, M Cieslak, PR Delio, ST Grafton, ... NeuroImage 148, 305-317, 2017 | 196 | 2017 |
| 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 | 192 | 2017 |
| 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 | 138 | 2018 |
| 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 | 116 | 2018 |
| 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 | 113 | 2019 |
| 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 | 84 | 2020 |
| 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 | 66 | 2019 |
| 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 | 64 | 2017 |
| 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 | 53 | 2020 |
| 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 | 52 | 2017 |
Danielle (Dani) S. BassettJ. Peter Skirkanich Professor, University of Pennsylvania & Santa Fe Institute在 seas.upenn.edu 的電子郵件地址已通過驗證
