Shi Gu

47 papers A* 11Journal 29Unranked 7
YearRankTypeTitle / Venue / Authors
2026 A* conf
S³: Spiking Neurons as an Isolating Segmenter for Brain Signal Decoding.
AAAI
Qian Zheng, Ming Chen, Sha Zhao, Shi Gu, Peng Lin, De Ma, Huajin Tang, Gang Pan
2025 J jnl
DarwinWafer: A Wafer-Scale Neuromorphic Chip.
CoRR
Xiaolei Zhu, Xiaofei Jin, Ziyang Kang, Chonghui Sun, Junjie Feng, Dingwen Hu, Zengyi Wang, Hanyue Zhuang, Qian Zheng, Huajin Tang, Shi Gu, Xin Du, De Ma, Gang Pan
2025 J jnl
Enhancing source-free domain adaptation in Medical Image Segmentation via regulated model self-training.
Medical Image Anal.
Tianwei Zhang, Kang Li, Shi Gu, Pheng-Ann Heng
2025 J jnl
FunReason-MT Technical Report: Overcoming the Complexity Barrier in Multi-Turn Function Calling.
CoRR
Zengzhuang Xu, Bingguang Hao, Zechuan Wang, Yuntao Wen, Maolin Wang, Yang Liu, Long Chen, Dong Wang, Yicheng Chen, Cunyin Peng, Chenyi Zhuang, Jinjie Gu, Leilei Gan, Xiangyu Zhao, Shi Gu
2025 A* conf
Hybrid Concept Bottleneck Models.
CVPR
Yang Liu, Tianwei Zhang, Shi Gu
2025 J jnl
Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning.
CoRR
Shikuang Deng, Jiayuan Zhang, Yuhang Wu, Ting Chen, Shi Gu
2025 A* conf
Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment Friendliness.
ICLR
Kangrui Du, Yuhang Wu, Shikuang Deng, Shi Gu
2025 J jnl
Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment Friendliness.
CoRR
Kangrui Du, Yuhang Wu, Shikuang Deng, Shi Gu
2024 J jnl
A Concept-based Interpretable Model for the Diagnosis of Choroid Neoplasias using Multimodal Data.
CoRR
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
2024 J jnl
Error-Aware Conversion from ANN to SNN via Post-training Parameter Calibration.
Int. J. Comput. Vis.
Yuhang Li, Shikuang Deng, Xin Dong, Shi Gu
2024 J jnl
Self-Supervised Learning for Medical Image Data with Anatomy-Oriented Imaging Planes.
CoRR
Tianwei Zhang, Dong Wei, Mengmeng Zhua, Shi Gu, Yefeng Zheng
2024 J jnl
Self-supervised learning for medical image data with anatomy-oriented imaging planes.
Medical Image Anal.
Tianwei Zhang, Dong Wei, Mengmeng Zhua, Shi Gu, Yefeng Zheng
2024 A* conf
Spiking Token Mixer: An event-driven friendly Former structure for spiking neural networks.
NeurIPS
Shikuang Deng, Yuhang Wu, Kangrui Du, Shi Gu
2024 — conf
Train Once, Deploy Anywhere: Edge-Guided Single-source Domain Generalization for Medical Image Segmentation.
MIDL
Jun Jiang, Shi Gu
2023 J jnl
Co-Learning Semantic-aware Unsupervised Segmentation for Pathological Image Registration.
CoRR
Yang Liu, Shi Gu
2023 — conf
Co-learning Semantic-Aware Unsupervised Segmentation for Pathological Image Registration.
MICCAI (10)
Yang Liu, Shi Gu
2023 A* conf
Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks.
ICML
Shikuang Deng, Hao Lin, Yuhang Li, Shi Gu
2022 J jnl
Converting Artificial Neural Networks to Spiking Neural Networks via Parameter Calibration.
CoRR
Yuhang Li, Shikuang Deng, Xin Dong, Shi Gu
2022 A* conf
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting.
ICLR
Shikuang Deng, Yuhang Li, Shanghang Zhang, Shi Gu
2022 J jnl
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting.
CoRR
Shikuang Deng, Yuhang Li, Shanghang Zhang, Shi Gu
2022 J jnl
When Sparsity Meets Dynamic Convolution.
CoRR
Shwai He, Yuhang Li, Chenbo Jiang, Shi Gu
2021 A* conf
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration.
ICML
Yuhang Li, Shikuang Deng, Xin Dong, Ruihao Gong, Shi Gu
2021 J jnl
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration.
CoRR
Yuhang Li, Shikuang Deng, Xin Dong, Ruihao Gong, Shi Gu
2021 J jnl
A Unified Framework for Generalized Low-Shot Medical Image Segmentation With Scarce Data.
IEEE Trans. Medical Imaging
Hengji Cui, Dong Wei, Kai Ma, Shi Gu, Yefeng Zheng
2021 J jnl
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data.
CoRR
Hengji Cui, Dong Wei, Kai Ma, Shi Gu, Yefeng Zheng
2021 A* conf
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction.
ICLR
Yuhang Li, Ruihao Gong, Xu Tan, Yang Yang, Peng Hu, Qi Zhang, Fengwei Yu, Wei Wang, Shi Gu
2021 J jnl
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction.
CoRR
Yuhang Li, Ruihao Gong, Xu Tan, Yang Yang, Peng Hu, Qi Zhang, Fengwei Yu, Wei Wang, Shi Gu
2021 A* conf
Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks.
NeurIPS
Yuhang Li, Yufei Guo, Shanghang Zhang, Shikuang Deng, Yongqing Hai, Shi Gu
2021 — conf
Empirical study of correlations in the fitness landscapes of combinatorial optimization problems.
GECCO Companion
Longfei Zhang, Ke Li, Shi Gu
2021 J jnl
Measurement reliability for individual differences in multilayer network dynamics: Cautions and considerations.
NeuroImage
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
2021 A* conf
MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing.
ICCV
Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Xin Dong, Fengwei Yu, Shaoqing Lu, Shi Gu
2021 J jnl
Multi-modal Attention Network for Stock Movements Prediction.
CoRR
Shwai He, Shi Gu
2021 A* conf
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks.
ICLR
Shikuang Deng, Shi Gu
2021 J jnl
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks.
CoRR
Shikuang Deng, Shi Gu
2020 J jnl
Benchmarking Measures of Network Controllability on Canonical Graph Models.
J. Nonlinear Sci.
Elena Wu-Yan, Richard F. Betzel, Evelyn Tang, Shi Gu, Fabio Pasqualetti, Danielle S. Bassett
2020 J jnl
Learning in School: Multi-teacher Knowledge Inversion for Data-Free Quantization.
CoRR
Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Fengwei Yu, Shaoqing Lu, Shi Gu
2020 — conf
Robust Medical Image Segmentation from Non-expert Annotations with Tri-network.
MICCAI (4)
Tianwei Zhang, Lequan Yu, Na Hu, Su Lv, Shi Gu
2019 — conf
Interpretable Multimodality Embedding of Cerebral Cortex Using Attention Graph Network for Identifying Bipolar Disorder.
MICCAI (3)
Huzheng Yang, Xiaoxiao Li, Yifan Wu, Siyi Li, Su Lu, James S. Duncan, James C. Gee, Shi Gu
2019 J jnl
RE: Warnings and caveats in brain controllability.
NeuroImage
Fabio Pasqualetti, Shi Gu, Danielle S. Bassett
2017 J jnl
On Structural Controllability of Symmetric (Brain) Networks.
CoRR
Tommaso Menara, Shi Gu, Danielle S. Bassett, Fabio Pasqualetti
2017 J jnl
Optimal trajectories of brain state transitions.
NeuroImage
Shi Gu, Richard F. Betzel, Marcelo Gomes Mattar, Matthew Cieslak, Philip R. Delio, Scott T. Grafton, Fabio Pasqualetti, Danielle S. Bassett
2017 J jnl
The energy landscape underpinning module dynamics in the human brain connectome.
NeuroImage
Arian Ashourvan, Shi Gu, Marcelo Gomes Mattar, Jean M. Vettel, Danielle S. Bassett
2016 J jnl
Stimulation-Based Control of Dynamic Brain Networks.
PLoS Comput. Biol.
Sarah Feldt Muldoon, Fabio Pasqualetti, Shi Gu, Matthew Cieslak, Scott T. Grafton, Jean M. Vettel, Danielle S. Bassett
2016 J jnl
Stimulation-based control of dynamic brain networks.
CoRR
Sarah Feldt Muldoon, Fabio Pasqualetti, Shi Gu, Matthew Cieslak, Scott T. Grafton, Jean M. Vettel, Danielle S. Bassett
2014 J jnl
Controllability of Brain Networks.
CoRR
Shi Gu, Fabio Pasqualetti, Matthew Cieslak, Scott T. Grafton, Danielle S. Bassett
2013 — conf
Optical mapping of optically paced embryonic hearts.
EMBC
Yves T. Wang, Shi Gu, Andrew M. Rollins, Michael W. Jenkins
2012 — conf
Altering embryonic cardiac dynamics with optical pacing.
EMBC
Lindsy M. Peterson, Matt McPheeters, Lee Barwick, Shi Gu, Andrew M. Rollins, Michael W. Jenkins