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04/08/2023
Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural Network Pruning
Network pruning is a widely used technique to reduce computation cost an...
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10/08/2022
Towards Real-Time Temporal Graph Learning
In recent years, graph representation learning has gained significant po...
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09/11/2022
Towards Sparsification of Graph Neural Networks
As real-world graphs expand in size, larger GNN models with billions of ...
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01/05/2022
Secure Remote Attestation with Strong Key Insulation Guarantees
Recent years have witnessed a trend of secure processor design in both a...
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12/18/2020
A Surrogate Lagrangian Relaxation-based Model Compression for Deep Neural Networks
Network pruning is a widely used technique to reduce computation cost an...
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06/18/2020