3

Multi-modal Attention Network for Stock Movements Prediction
Stock prices move as piece-wise trending fluctuation rather than a purely random walk. Traditionally, the prediction of future stock …
He Shwai, Gu Shi
PDF Cite Code Publisher Page
Multi-modal Attention Network for Stock Movements Prediction
Converting artificial neural networks to spiking neural networks via parameter calibration
Spiking Neural Network (SNN), originating from the neural behavior in biology, has been recognized as one of the nextgeneration neural …
Li Yuhang, Deng Shikuang, Dong Xin, Gu Shi
PDF Cite Publisher Page
Converting artificial neural networks to spiking neural networks via parameter calibration
Effective Ensemble of Deep Neural Networks Predicts Neural Responses to Naturalistic Videos
This report provides a review of our submissions to the Algonauts Challenge 2021. In this challenge, neural responses in the visual …
Yang Huzheng, Zhang Shanghang, Wu Yifan, Li Yuanning, Gu Shi
PDF Cite Code Publisher Page
Effective Ensemble of Deep Neural Networks Predicts Neural Responses to Naturalistic Videos
Brecq:Pushing the limit of post-training quantization by block reconstruction
We study the challenging task of neural network quantization without end-to-end retraining, called Post-training Quantization (PTQ). …
Li Yuhang, Gong Ruihao, Tan Xu, Yang Yang, Hu Peng, Zhang Qi, Yu Fengwei, Wang Wei, Gu Shi
PDF Cite Code Publisher Page
Brecq:Pushing the limit of post-training quantization by block reconstruction
Controllability analysis of functional brain networks
Network control theory has recently emerged as a promising approach for understanding brain function and dynamics. By operationalizing …
Deng Shikuang, Gu Shi
PDF Cite Publisher Page
Controllability analysis of functional brain networks