Peng Cheng

Path‐flow matching: Two‐sided matching and multiobjective evolutionary algorithm for traffic scheduling in cloud data^* center network

2019 · Transactions on Emerging Telecommunications Technologies

Abstract Improving the operational efficiency of data center has always been an important direction for the development of ICT. In this paper, we apply two‐sided matching decision‐making process in game theory to traffic scheduling problem …

A Learning Approach to Cooperative Communication System Design

2020

The cooperative relay network is a type of multi-terminal communication system. We present in this paper a Neural Network (NN)-based autoencoder (AE) approach to optimize its design. This approach implements a classical three-node cooperative system …

Deep Autoencoder Learning for Relay-Assisted Cooperative Communication Systems

2020 · IEEE Transactions on Communications

Emerging recently as a novel concept in communication system design, end-to-end learning introduces deep neural networks (NNs) to represent the transmitter and receiver functions. Consequently, the whole system can be interpreted as an autoencoder (AE), …

Adversarial Command Detection Using Parallel Speech Recognition Systems

2022 · Lecture notes in computer science

Personal Voice Assistants (PVAs) such as Apple’s Siri, Amazon’s Alexa and Google Home are now commonplace. PVAs are susceptible to adversarial commands; an attacker is able to modify an audio signal such that humans do …

PipeDevice

2022

Containers have become prevalent in public clouds due to the performance, portability, and deployment benefits compared to virtual machines [1, 8, 14]. They support a wide variety of workloads, from microservices to data analytics and …

Clinical concept and relation extraction using prompt-based machine reading comprehension

2023 · Journal of the American Medical Informatics Association

OBJECTIVE: To develop a natural language processing system that solves both clinical concept extraction and relation extraction in a unified prompt-based machine reading comprehension (MRC) architecture with good generalizability for cross-institution applications. METHODS: We formulate …

A Multi-Modal Modulation Recognition Method with SNR Segmentation Based on Time Domain Signals and Constellation Diagrams

2023 · Electronics

Deep-learning-based automatic modulation recognition (AMR) has recently attracted significant interest due to its high recognition accuracy and the lack of a need to manually set classification standards. However, it is extremely challenging to achieve a …

QCA-Net: Quantum-based Channel Attention for Deep Neural Networks

2023

The channel attention mechanism, which adaptively recalibrates each channel's weight, can enhance the performance of deep neural networks. Most channel attention modules use simple pooling operations to aggregate spatial information. The drawback is the incapability …

Integrative Decoding: Improve Factuality via Implicit Self-consistency

2024 · arXiv (Cornell University)

Self-consistency-based approaches, which involve repeatedly sampling multiple outputs and selecting the most consistent one as the final response, prove to be remarkably effective in improving the factual accuracy of large language models. Nonetheless, existing methods …