Shi Gu

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 33

Top Topics

State Transition

Combinatorial Optimization

Spiking Neural Networks

Medical Image Data

Top Venues

Publications

Tianwei Zhang, Dong Wei, Mengmeng Zhua, Shi Gu, Yefeng Zheng
Self-Supervised Learning for Medical Image Data with Anatomy-Oriented Imaging Planes. CoRR (2024)
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 (2024)
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 (2024)
Yang Liu, Shi Gu
Co-Learning Semantic-aware Unsupervised Segmentation for Pathological Image Registration. CoRR (2023)
Yang Liu, Shi Gu
Co-learning Semantic-Aware Unsupervised Segmentation for Pathological Image Registration. MICCAI (10) (2023)
Shikuang Deng, Hao Lin, Yuhang Li, Shi Gu
Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks. ICML (2023)
Shwai He, Yuhang Li, Chenbo Jiang, Shi Gu
When Sparsity Meets Dynamic Convolution. CoRR (2022)
Shikuang Deng, Yuhang Li, Shanghang Zhang, Shi Gu
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting. ICLR (2022)
Shikuang Deng, Yuhang Li, Shanghang Zhang, Shi Gu
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting. CoRR (2022)
Yuhang Li, Shikuang Deng, Xin Dong, Shi Gu
Converting Artificial Neural Networks to Spiking Neural Networks via Parameter Calibration. CoRR (2022)
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 (2021)
Shikuang Deng, Shi Gu
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks. ICLR (2021)
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)
Shikuang Deng, Shi Gu
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks. CoRR (2021)
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)
Shwai He, Shi Gu
Multi-modal Attention Network for Stock Movements Prediction. CoRR (2021)
Yuhang Li, Shikuang Deng, Xin Dong, Ruihao Gong, Shi Gu
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration. ICML (2021)
Hengji Cui, Dong Wei, Kai Ma, Shi Gu, Yefeng Zheng
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data. CoRR (2021)
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 (2021)
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) (2021)
Yuhang Li, Yufei Guo, Shanghang Zhang, Shikuang Deng, Yongqing Hai, Shi Gu
Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks. NeurIPS (2021)
Yuhang Li, Shikuang Deng, Xin Dong, Ruihao Gong, Shi Gu
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration. CoRR (2021)
Longfei Zhang, Ke Li, Shi Gu
Empirical study of correlations in the fitness landscapes of combinatorial optimization problems. GECCO Companion (2021)
Tianwei Zhang, Lequan Yu, Na Hu, Su Lv, Shi Gu
Robust Medical Image Segmentation from Non-expert Annotations with Tri-network. MICCAI (4) (2020)
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) (2020)
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 (2020)
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)
Fabio Pasqualetti, Shi Gu, Danielle S. Bassett
RE: Warnings and caveats in brain controllability. NeuroImage 197 (2019)
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 (2017)
Tommaso Menara, Shi Gu, Danielle S. Bassett, Fabio Pasqualetti
On Structural Controllability of Symmetric (Brain) Networks. CoRR (2017)
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 (2017)
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 (2016)
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)
Shi Gu, Fabio Pasqualetti, Matthew Cieslak, Scott T. Grafton, Danielle S. Bassett
Controllability of Brain Networks. CoRR (2014)
Yves T. Wang, Shi Gu, Andrew M. Rollins, Michael W. Jenkins
Optical mapping of optically paced embryonic hearts. EMBC (2013)
Lindsy M. Peterson, Matt McPheeters, Lee Barwick, Shi Gu, Andrew M. Rollins, Michael W. Jenkins
Altering embryonic cardiac dynamics with optical pacing. EMBC (2012)