22 citations · 24 across the 6 of their papers we have counts for
6 papers
Task-agnostic Decision Transformer for Multi-type Agent Control with Federated Split Training
Zhiyuan Wang, Bokui Chen, Xiaoyang Qu +3
With the rapid advancements in artificial intelligence, the development of knowledgeable and personalized agents has become increasingly prevalent. However, the inherent variabilit…
Leveraging Causal Inference for Explainable Automatic Program Repair
Jianzong Wang, Shijing Si, Zhitao Zhu +3
Deep learning models have made significant progress in automatic program repair. However, the black-box nature of these methods has restricted their practical applications. To addr…
DT-SV: A Transformer-based Time-domain Approach for Speaker Verification
Nan Zhang, Jianzong Wang, Zhenhou Hong +3
Speaker verification (SV) aims to determine whether the speaker's identity of a test utterance is the same as the reference speech. In the past few years, extracting speaker embedd…
QSpeech: Low-Qubit Quantum Speech Application Toolkit
Zhenhou Hong, Jianzong Wang, Xiaoyang Qu +3
Quantum devices with low qubits are common in the Noisy Intermediate-Scale Quantum (NISQ) era. However, Quantum Neural Network (QNN) running on low-qubit quantum devices would be d…
Federated Learning with Dynamic Transformer for Text to Speech
Zhenhou Hong, Jianzong Wang, Xiaoyang Qu +3
Text to speech (TTS) is a crucial task for user interaction, but TTS model training relies on a sizable set of high-quality original datasets. Due to privacy and security issues, t…
EfficientTDNN: Efficient Architecture Search for Speaker Recognition
Rui Wang, Zhihua Wei, Haoran Duan +3
Convolutional neural networks (CNNs), such as the time-delay neural network (TDNN), have shown their remarkable capability in learning speaker embedding. However, they meanwhile br…