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04/29/2023
Physics-Guided Graph Neural Networks for Real-time AC/DC Power Flow Analysis
The increasing scale of alternating current and direct current (AC/DC) h...
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11/30/2022
Towards Interpreting Vulnerability of Multi-Instance Learning via Customized and Universal Adversarial Perturbations
Multi-instance learning (MIL) is a great paradigm for dealing with compl...
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09/21/2022
In-Network Accumulation: Extending the Role of NoC for DNN Acceleration
Network-on-Chip (NoC) plays a significant role in the performance of a D...
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06/04/2022
Fault-Aware Neural Code Rankers
Large language models (LLMs) have demonstrated an impressive ability to ...
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08/24/2021
Real-Time Monocular Human Depth Estimation and Segmentation on Embedded Systems
Estimating a scene's depth to achieve collision avoidance against moving...
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08/01/2021
Data Streaming and Traffic Gathering in Mesh-based NoC for Deep Neural Network Acceleration
The increasing popularity of deep neural network (DNN) applications dema...
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08/01/2021
Efficient On-Chip Multicast Routing based on Dynamic Partition Merging
Networks-on-chips (NoCs) have become the mainstream communication infras...
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08/01/2021
Improving the Performance of a NoC-based CNN Accelerator with Gather Support
The increasing application of deep learning technology drives the need f...
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11/26/2019