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08/22/2023
Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks
Graph Convolutional Networks (GCNs) are pivotal in extracting latent inf...
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08/20/2023
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference
The growth of the Machine-Learning-As-A-Service (MLaaS) market has highl...
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06/27/2023
PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment
Two-party computation (2PC) is promising to enable privacy-preserving de...
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02/05/2023
RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference
The proliferation of deep learning (DL) has led to the emergence of priv...
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11/30/2022
Dynamic Sparse Training via Balancing the Exploration-Exploitation Trade-off
Over-parameterization of deep neural networks (DNNs) has shown high pred...
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10/27/2022
Aerial Manipulation Using a Novel Unmanned Aerial Vehicle Cyber-Physical System
Unmanned Aerial Vehicles(UAVs) are attaining more and more maneuverabili...
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09/20/2022
PolyMPCNet: Towards ReLU-free Neural Architecture Search in Two-party Computation Based Private Inference
The rapid growth and deployment of deep learning (DL) has witnessed emer...
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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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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...
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06/21/2022
An Automatic and Efficient BERT Pruning for Edge AI Systems
With the yearning for deep learning democratization, there are increasin...
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10/19/2021
Accelerating Framework of Transformer by Hardware Design and Model Compression Co-Optimization
State-of-the-art Transformer-based models, with gigantic parameters, are...
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10/15/2021
Detecting Gender Bias in Transformer-based Models: A Case Study on BERT
In this paper, we propose a novel gender bias detection method by utiliz...
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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...
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08/10/2021
Binary Complex Neural Network Acceleration on FPGA
Being able to learn from complex data with phase information is imperati...
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06/16/2021
