Zhenyao Zhu

According to our database1, Zhenyao Zhu authored at least 18 papers between 2013 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Fully Supervised Speaker Diarization.
CoRR, 2018

2017
Principled Hybrids of Generative and Discriminative Domain Adaptation.
CoRR, 2017

Gram-CTC: Automatic Unit Selection and Target Decomposition for Sequence Labelling.
CoRR, 2017

Deep Speaker: an End-to-End Neural Speaker Embedding System.
CoRR, 2017

Reducing Bias in Production Speech Models.
CoRR, 2017

Exploring Neural Transducers for End-to-End Speech Recognition.
CoRR, 2017

Gram-CTC: Automatic Unit Selection and Target Decomposition for Sequence Labelling.
Proceedings of the 34th International Conference on Machine Learning, 2017

Exploring neural transducers for end-to-end speech recognition.
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

2016
Learning Multiscale Features Directly FromWaveforms.
CoRR, 2016

Learning Multiscale Features Directly from Waveforms.
Proceedings of the Interspeech 2016, 2016


Face Model Compression by Distilling Knowledge from Neurons.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin.
CoRR, 2015

2014
Deep Learning Multi-View Representation for Face Recognition.
CoRR, 2014

Recover Canonical-View Faces in the Wild with Deep Neural Networks.
CoRR, 2014

DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection.
CoRR, 2014

Multi-View Perceptron: a Deep Model for Learning Face Identity and View Representations.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
Deep Learning Identity-Preserving Face Space.
Proceedings of the IEEE International Conference on Computer Vision, 2013


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