- Nanocluster Synthesis and Applications
- Advanced Nanomaterials in Catalysis
- Advanced Photocatalysis Techniques
- Gold and Silver Nanoparticles Synthesis and Applications
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Speech and Audio Processing
- Carbon and Quantum Dots Applications
- Graphene research and applications
- Copper-based nanomaterials and applications
- Quantum Dots Synthesis And Properties
Nanyang Technological University
2017-2019
Fuzhou University
2018
State Council of the People's Republic of China
2018
Singapore Polytechnic
2017
A judicious layer-by-layer assembly strategy has been developed to rationally integrate graphene quantum dots with metal nanocrystals for multifarious catalysis.
The intrinsic correlation of gold nanoclusters with graphene quantum dots in terms photo-induced charge transport for photoelectrochemical water splitting was revealed.
Cascade charge transfer between graphene quantum dots and Ag nanocrystals in photoelectrochemical water splitting was finely regulated by layer-by-layer (LbL) assembly.
The lack of code-switch training data is one the major concerns in development end-to-end code-switching automatic speech recognition (ASR) models. In this work, we propose a method to train an improved ASR using only monolingual data. Our encourages distributions output token embeddings languages be similar, and hence, promotes model easily between languages. Specifically, use Jensen-Shannon divergence cosine distance based constraints. former will enforce possess similar distributions,...