Software Engineering

DeciX: Explain Deep Learning Based Code Generation Applications
Deep learning-based code generation (DL-CG) applications have shown great potential for assisting developers in programming with …
Simin Chen, Zexin Li, Wei Yang, Cong Liu
PPM: Automated Generation of Diverse Programming Problems for Benchmarking Code Generation Models
In recent times, a plethora of Large Code Generation Models (LCGMs) have been proposed, showcasing significant potential in assisting …
Simin Chen, Xiaoning Feng, Xiaohong Han, Cong Liu, Wei Yang
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DyCL: Dynamic Neural Network Compilation Via Program Rewriting and Graph Optimization
The deep learning (DL) compiler is a fundamental piece of infrastructure that enables the deployment of deep neural networks on various …
Simin Chen, Shiyi Wei, Cong Liu, Wei Yang
DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks
Today, an increasing number of Adaptive Deep Neural Networks (AdNNs) are being used to make decisions on resource-constrained embedded …
Simin Chen, Mirazul Haque, Cong Liu, Wei Yang
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NMTSloth: Understanding and Testing Efficiency Degradation of Neural Machine Translation Systems
Neural Machine Translation (NMT) systems have received much recent attention due to their human-level accuracy. While existing works …
Simin Chen, Cong Liu, Mirazul Haque, Zihe Song, Wei Yang
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Learning to Reverse DNNs from AI Programs Automatically
With the privatization deployment of DNNs on edge devices, the security of on-device DNNs has raised great concern. To quantify model …
Simin Chen, Hamed Khanpour, Cong Liu, Wei Yang
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