Zhiping Zeng

ORCID: 0000-0003-1165-8812
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About
Contact & Profiles
Research Areas
  • 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.

10.1039/c7ta09119b article EN Journal of Materials Chemistry A 2017-12-13

The intrinsic correlation of gold nanoclusters with graphene quantum dots in terms photo-induced charge transport for photoelectrochemical water splitting was revealed.

10.1039/c8ta02802h article EN Journal of Materials Chemistry A 2018-01-01

Cascade charge transfer between graphene quantum dots and Ag nanocrystals in photoelectrochemical water splitting was finely regulated by layer-by-layer (LbL) assembly.

10.1039/c8ta08841a article EN Journal of Materials Chemistry A 2018-01-01

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,...

10.21437/interspeech.2019-1867 article EN Interspeech 2022 2019-09-13
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