Fanglei Sun
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Cross-Utterance Conditioned VAE for Speech Generation Open
Speech synthesis systems powered by neural networks hold promise for multimedia production, but frequently face issues with producing expressive speech and seamless editing. In response, we present the Cross-Utterance Conditioned Variation…
Language and Sketching: An LLM-driven Interactive Multimodal Multitask Robot Navigation Framework Open
The socially-aware navigation system has evolved to adeptly avoid various obstacles while performing multiple tasks, such as point-to-point navigation, human-following, and -guiding. However, a prominent gap persists: in Human-Robot Intera…
Cross-Utterance Conditioned VAE for Speech Generation Open
Speech synthesis systems powered by neural networks hold promise for multimedia production, but frequently face issues with producing expressive speech and seamless editing. In response, we present the Cross-Utterance Conditioned Variation…
A Deep-Learning Neural Network Approach for Secure Wireless Communication in the Surveillance of Electronic Health Records Open
The electronic health record (EHR) surveillance process relies on wireless security administered in application technology, such as the Internet of Things (IoT). Automated supervision with cutting-edge data analysis methods may be a viable…
Edge Node Aware Adaptive Data Processing Method for Ubiquitous NB-IoT Open
Nowadays, we have entered the golden age of economic development, and the Internet of Things (IoT) has also ushered in the opportunity of development, and the rapid development of IoT is also beneficial to drive the economy forward continu…
Image Classification Learning Method Incorporating Zero-Sample Learning and Small-Sample Learning Open
At present, artificial intelligence algorithms based on deep learning have achieved good results in image classification, biometric recognition, medical diagnosis, and other fields. However, in practice, many times researchers are unable t…
View article: 6G Network AI Architecture for Everyone-Centric Customized Services
6G Network AI Architecture for Everyone-Centric Customized Services Open
Mobile communication standards were developed for enhancing transmission and network performance by using more radio resources and improving spectrum and energy efficiency. How to effectively address diverse user requirements and guarantee…
Visual Object Tracking Based on Deep Neural Network Open
Computer vision systems cannot function without visual target tracking. Intelligent video monitoring, medical treatment, human-computer interaction, and traffic management all stand to benefit greatly from this technology. Although many ne…
Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications Open
In the intelligent communication field, deep learning (DL) has attracted much attention due to its strong fitting ability and data-driven learning capability. Compared with the typical DL feedforward network structures, an enhancement stru…
Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-Speech Open
Modelling prosody variation is critical for synthesizing natural and expressive speech in end-to-end text-to-speech (TTS) systems. In this paper, a cross-utterance conditional VAE (CUC-VAE) is proposed to estimate a posterior probability d…
M2N: Mesh Movement Networks for PDE Solvers Open
Mainstream numerical Partial Differential Equation (PDE) solvers require discretizing the physical domain using a mesh. Mesh movement methods aim to improve the accuracy of the numerical solution by increasing mesh resolution where the sol…
Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-Speech Open
Yang Li, Cheng Yu, Guangzhi Sun, Hua Jiang, Fanglei Sun, Weiqin Zu, Ying Wen, Yang Yang, Jun Wang. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2022.
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning Open
Trust region methods rigorously enabled reinforcement learning (RL) agents to learn monotonically improving policies, leading to superior performance on a variety of tasks. Unfortunately, when it comes to multi-agent reinforcement learning…
DRESIA: Deep Reinforcement Learning-Enabled Gray Box Approach for Large-Scale Dynamic Cyber-Twin System Simulation Open
The massive data generated by large-scale dynamic systems makes its optimization facing a tough challenge. Traditional White Box-based methods directly model the internal operating mechanism of the system, so massive amounts of measured da…