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Shi Gu
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2020 – today
- 2024
- [j9]Yuhang Li
, Shikuang Deng, Xin Dong, Shi Gu
Error-Aware Conversion from ANN to SNN via Post-training Parameter Calibration. Int. J. Comput. Vis. 132(9): 3586-3609 (2024) - [j8]Tianwei Zhang, Dong Wei
Self-supervised learning for medical image data with anatomy-oriented imaging planes. Medical Image Anal. 94: 103151 (2024) - [i15]Yifan Wu, Yang Liu, Yue Yang, Michael S. Yao, Wenli Yang, Xuehui Shi, Lihong Yang, Dongjun Li, Yueming Liu, James C. Gee, Xuan Yang, Wenbin Wei, Shi Gu:
A Concept-based Interpretable Model for the Diagnosis of Choroid Neoplasias using Multimodal Data. CoRR abs/2403.05606 (2024) - [i14]Tianwei Zhang, Dong Wei, Mengmeng Zhua, Shi Gu, Yefeng Zheng:
Self-Supervised Learning for Medical Image Data with Anatomy-Oriented Imaging Planes. CoRR abs/2403.16499 (2024) - 2023
- [c13]Shikuang Deng, Hao Lin, Yuhang Li, Shi Gu:
Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks. ICML 2023: 7645-7657 - [c12]Yang Liu, Shi Gu:
Co-learning Semantic-Aware Unsupervised Segmentation for Pathological Image Registration. MICCAI (10) 2023: 537-547 - [i13]Yang Liu, Shi Gu:
Co-Learning Semantic-aware Unsupervised Segmentation for Pathological Image Registration. CoRR abs/2310.11040 (2023) - 2022
- [c11]Shikuang Deng, Yuhang Li, Shanghang Zhang, Shi Gu:
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting. ICLR 2022 - [i12]Shikuang Deng, Yuhang Li, Shanghang Zhang, Shi Gu:
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting. CoRR abs/2202.11946 (2022) - [i11]Shwai He, Yuhang Li, Chenbo Jiang, Shi Gu:
When Sparsity Meets Dynamic Convolution. CoRR abs/2204.02227 (2022) - [i10]Yuhang Li, Shikuang Deng, Xin Dong, Shi Gu:
Converting Artificial Neural Networks to Spiking Neural Networks via Parameter Calibration. CoRR abs/2205.10121 (2022) - 2021
- [j7]Zhen Yang
Measurement reliability for individual differences in multilayer network dynamics: Cautions and considerations. NeuroImage 225: 117489 (2021) - [j6]Hengji Cui, Dong Wei
A Unified Framework for Generalized Low-Shot Medical Image Segmentation With Scarce Data. IEEE Trans. Medical Imaging 40(10): 2656-2671 (2021) - [c10]Longfei Zhang, Ke Li, Shi Gu:
Empirical study of correlations in the fitness landscapes of combinatorial optimization problems. GECCO Companion 2021: 247-248 - [c9]Yuhang Li, Feng Zhu, Ruihao Gong
MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing. ICCV 2021: 4390-4399 - [c8]Shikuang Deng
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks. ICLR 2021 - [c7]Yuhang Li, Ruihao Gong, Xu Tan, Yang Yang, Peng Hu, Qi Zhang, Fengwei Yu, Wei Wang, Shi Gu:
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction. ICLR 2021 - [c6]Yuhang Li, Shikuang Deng, Xin Dong, Ruihao Gong, Shi Gu:
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration. ICML 2021: 6316-6325 - [c5]Yuhang Li, Yufei Guo, Shanghang Zhang, Shikuang Deng, Yongqing Hai, Shi Gu:
Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks. NeurIPS 2021: 23426-23439 - [i9]Yuhang Li, Ruihao Gong, Xu Tan, Yang Yang, Peng Hu, Qi Zhang, Fengwei Yu, Wei Wang, Shi Gu:
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction. CoRR abs/2102.05426 (2021) - [i8]Shikuang Deng, Shi Gu:
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks. CoRR abs/2103.00476 (2021) - [i7]Yuhang Li, Shikuang Deng, Xin Dong, Ruihao Gong, Shi Gu:
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration. CoRR abs/2106.06984 (2021) - [i6]Hengji Cui, Dong Wei, Kai Ma, Shi Gu, Yefeng Zheng:
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data. CoRR abs/2110.09260 (2021) - [i5]Shwai He, Shi Gu:
Multi-modal Attention Network for Stock Movements Prediction. CoRR abs/2112.13593 (2021) - 2020
- [j5]Elena Wu-Yan, Richard F. Betzel, Evelyn Tang
Benchmarking Measures of Network Controllability on Canonical Graph Models. J. Nonlinear Sci. 30(5): 2195-2233 (2020) - [c4]Tianwei Zhang, Lequan Yu
Robust Medical Image Segmentation from Non-expert Annotations with Tri-network. MICCAI (4) 2020: 249-258 - [i4]Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Fengwei Yu, Shaoqing Lu, Shi Gu:
Learning in School: Multi-teacher Knowledge Inversion for Data-Free Quantization. CoRR abs/2011.09899 (2020)
2010 – 2019
- 2019
- [j4]Fabio Pasqualetti
RE: Warnings and caveats in brain controllability. NeuroImage 197: 586-588 (2019) - [c3]Huzheng Yang, Xiaoxiao Li, Yifan Wu, Siyi Li, Su Lu, James S. Duncan, James C. Gee, Shi Gu:
Interpretable Multimodality Embedding of Cerebral Cortex Using Attention Graph Network for Identifying Bipolar Disorder. MICCAI (3) 2019: 799-807 - 2017
- [j3]Shi Gu, Richard F. Betzel, Marcelo Gomes Mattar, Matthew Cieslak, Philip R. Delio, Scott T. Grafton, Fabio Pasqualetti
Optimal trajectories of brain state transitions. NeuroImage 148: 305-317 (2017) - [j2]Arian Ashourvan
The energy landscape underpinning module dynamics in the human brain connectome. NeuroImage 157: 364-380 (2017) - [i3]Tommaso Menara, Shi Gu, Danielle S. Bassett, Fabio Pasqualetti:
On Structural Controllability of Symmetric (Brain) Networks. CoRR abs/1706.05120 (2017) - 2016
- [j1]Sarah Feldt Muldoon
Stimulation-Based Control of Dynamic Brain Networks. PLoS Comput. Biol. 12(9) (2016) - [i2]Sarah Feldt Muldoon, Fabio Pasqualetti, Shi Gu, Matthew Cieslak, Scott T. Grafton, Jean M. Vettel, Danielle S. Bassett:
Stimulation-based control of dynamic brain networks. CoRR abs/1601.00987 (2016) - 2014
- [i1]Shi Gu, Fabio Pasqualetti, Matthew Cieslak, Scott T. Grafton, Danielle S. Bassett:
Controllability of Brain Networks. CoRR abs/1406.5197 (2014) - 2013
- [c2]Yves T. Wang
Optical mapping of optically paced embryonic hearts. EMBC 2013: 1623-1626 - 2012
- [c1]Lindsy M. Peterson, Matt McPheeters, Lee Barwick, Shi Gu, Andrew M. Rollins
Altering embryonic cardiac dynamics with optical pacing. EMBC 2012: 1382-1385
Coauthor Index
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