default search action
Shi Gu
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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, Mengmeng Zhua, Shi Gu, Yefeng Zheng:
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, Qawi K. Telesford, Alexandre R. Franco, Ryan Lim, Shi Gu, Ting Xu, Lei Ai, Francisco X. Castellanos, Chao-Gan Yan, Stanley J. Colcombe, Michael P. Milham:
Measurement reliability for individual differences in multilayer network dynamics: Cautions and considerations. NeuroImage 225: 117489 (2021) - [j6]Hengji Cui, Dong Wei, Kai Ma, Shi Gu, Yefeng Zheng:
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, Mingzhu Shen, Xin Dong, Fengwei Yu, Shaoqing Lu, Shi Gu:
MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing. ICCV 2021: 4390-4399 - [c8]Shikuang Deng, Shi Gu:
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, Shi Gu, Fabio Pasqualetti, Danielle S. Bassett:
Benchmarking Measures of Network Controllability on Canonical Graph Models. J. Nonlinear Sci. 30(5): 2195-2233 (2020) - [c4]Tianwei Zhang, Lequan Yu, Na Hu, Su Lv, Shi Gu:
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, Shi Gu, Danielle S. Bassett:
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, Danielle S. Bassett:
Optimal trajectories of brain state transitions. NeuroImage 148: 305-317 (2017) - [j2]Arian Ashourvan, Shi Gu, Marcelo Gomes Mattar, Jean M. Vettel, Danielle S. Bassett:
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, Fabio Pasqualetti, Shi Gu, Matthew Cieslak, Scott T. Grafton, Jean M. Vettel, Danielle S. Bassett:
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, Shi Gu, Andrew M. Rollins, Michael W. Jenkins:
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, Michael W. Jenkins:
Altering embryonic cardiac dynamics with optical pacing. EMBC 2012: 1382-1385
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-21 23:36 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint