97 citations · 144 across the 10 of their papers we have counts for
10 papers
Excitation of extraordinary modes inside the source of Saturn's kilometric radiation
Hao Ning, Yao Chen, Chuanyang Li +3
The electron cyclotron maser instability (ECMI) of extraordinary mode waves was investigated with the parameters observed in Saturn's kilometric radiation (SKR) sources. Previous s…
A machine-learning based closed orbit feedback for the SSRF storage ring
Ruichun Li, Qinglei Zhang, Bocheng Jiang +4
In order to improve the stability of synchrotron radiation, we developed a new method of machine learning-based closed orbit feedback and piloted it in the storage ring of the Shan…
Layer-Wise Multi-View Learning for Neural Machine Translation
Qiang Wang, Changliang Li, Yue Zhang +2
Traditional neural machine translation is limited to the topmost encoder layer's context representation and cannot directly perceive the lower encoder layers. Existing solutions us…
Learning Architectures from an Extended Search Space for Language Modeling
Yinqiao Li, Chi Hu, Yuhao Zhang +6
Neural architecture search (NAS) has advanced significantly in recent years but most NAS systems restrict search to learning architectures of a recurrent or convolutional cell. In…
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation
Bei Li, Hui Liu, Ziyang Wang +5
In encoder-decoder neural models, multiple encoders are in general used to represent the contextual information in addition to the individual sentence. In this paper, we investigat…
Extreme bright coherent synchrotron radiation produced in a low emittance electron storage ring by the angular dispersion induced microbunching scheme
Changliang Li, Chao Feng, Bocheng Jiang
Generation of extreme bright coherent synchrotron radiation in a short wavelength range is of remarkable interest in the synchrotron light source community. In this paper, a novel…
Single Channel Speech Enhancement Using Temporal Convolutional Recurrent Neural Networks
Jingdong Li, Hui Zhang, Xueliang Zhang +1
In recent decades, neural network based methods have significantly improved the performace of speech enhancement. Most of them estimate time-frequency (T-F) representation of targe…
Learning Deep Transformer Models for Machine Translation
Qiang Wang, Bei Li, Tong Xiao +4
Transformer is the state-of-the-art model in recent machine translation evaluations. Two strands of research are promising to improve models of this kind: the first uses wide netwo…
Downhole Track Detection via Multiscale Conditional Generative Adversarial Nets
Jia Li, Xing Wei, Guoqiang Yang +2
Frequent mine disasters cause a large number of casualties and property losses. Autonomous driving is a fundamental measure for solving this problem, and track detection is one of…
Reinforcement Learning Based Emotional Editing Constraint Conversation Generation
Jia Li, Xiao Sun, Xing Wei +2
In recent years, the generation of conversation content based on deep neural networks has attracted many researchers. However, traditional neural language models tend to generate g…