2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 2 cited
EQ-Net: Elastic Quantization Neural Networks
Ke Xu, Lei Han, Ye Tian +2
Current model quantization methods have shown their promising capability in reducing storage space and computation complexity. However, due to the diversity of quantization forms s…
cs.CL2019
Phrase-Level Class based Language Model for Mandarin Smart Speaker Query Recognition
Yiheng Huang, Liqiang He, Lei Han +2
The success of speech assistants requires precise recognition of a number of entities on particular contexts. A common solution is to train a class-based n-gram language model and…
cs.CL2019
A Random Gossip BMUF Process for Neural Language Modeling
Yiheng Huang, Jinchuan Tian, Lei Han +4
Neural network language model (NNLM) is an essential component of industrial ASR systems. One important challenge of training an NNLM is to leverage between scaling the learning pr…