Shiyang Chen | DeepAI

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∙ 08/02/2023

Tango: rethinking quantization for graph neural network training on GPUs

Graph Neural Networks (GNNs) are becoming increasingly popular due to th...

0 Shiyang Chen, et al. ∙

∙ 08/09/2022

Motif-based Graph Representation Learning with Application to Chemical Molecules

This work considers the task of representation learning on the attribute...

11 Yifei Wang, et al. ∙

∙ 08/07/2022

A Length Adaptive Algorithm-Hardware Co-design of Transformer on FPGA Through Sparse Attention and Dynamic Pipelining

Transformers are considered one of the most important deep learning mode...

0 Hongwu Peng, et al. ∙

∙ 12/31/2021

Transfer learning of phase transitions in percolation and directed percolation

The latest advances of statistical physics have shown remarkable perform...

0 Jianmin Shen, et al. ∙

∙ 10/15/2021

Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm

Various pruning approaches have been proposed to reduce the footprint re...

6 Shaoyi Huang, et al. ∙

∙ 09/13/2021

Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search

Molecular similarity search has been widely used in drug discovery to id...

0 Hongwu Peng, et al. ∙

∙ 02/09/2020

The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up

We present the findings of "The Alzheimer's Disease Prediction Of Longit...

0 Razvan V. Marinescu, et al. ∙

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