Z
Zhiheng Huang
Researcher at Amazon.com
Publications - 55
Citations - 9642
Zhiheng Huang is an academic researcher from Amazon.com. The author has contributed to research in topics: Recurrent neural network & Language model. The author has an hindex of 28, co-authored 55 publications receiving 8059 citations. Previous affiliations of Zhiheng Huang include Facebook & Baidu.
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Bidirectional LSTM-CRF Models for Sequence Tagging
Zhiheng Huang,Wei Xu,Kai Yu +2 more
TL;DR: This work is the first to apply a bidirectional LSTM CRF model to NLP benchmark sequence tagging data sets and it is shown that the BI-LSTM-CRF model can efficiently use both past and future input features thanks to a biddirectional L STM component.
Proceedings Article
Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)
TL;DR: The m-RNN model directly models the probability distribution of generating a word given previous words and an image, and achieves significant performance improvement over the state-of-the-art methods which directly optimize the ranking objective function for retrieval.
Proceedings ArticleDOI
CNN-RNN: A Unified Framework for Multi-label Image Classification
TL;DR: In this article, a CNN-RNN framework is proposed to learn a joint image-label embedding to characterize the semantic label dependency as well as the image label relevance, and it can be trained end-to-end from scratch to integrate both information in a unified framework.
Proceedings ArticleDOI
Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks
TL;DR: In this paper, a hierarchical RNN is proposed to generate one or multiple sentences to describe a realistic video, where a sentence generator produces one simple short sentence that describes a specific short video interval and a paragraph generator captures the inter-sentence dependency.
An Introduction to Computational Networks and the Computational Network Toolkit
Dong Yu,Adam Eversole,Michael L. Seltzer,Kaisheng Yao,Oleksii Kuchaiev,Yu Zhang,Frank Seide,Zhiheng Huang,Brian Guenter,Huaming Wang,Jasha Droppo,Geoffrey Zweig,Christopher J. Rossbach,Jie Gao,Andreas Stolcke,Jon Currey,Malcolm Slaney,Guoguo Chen,Amit Kumar Agarwal,Christopher H. Basoglu,Marko Padmilac,Alexey Kamenev,Vladimir Ivanov,Scott Cypher,Hari Parthasarathi,Bhaskar Mitra,Baolin Peng,Xuedong Huang +27 more
TL;DR: The computational network toolkit (CNTK), an implementation of CN that supports both GPU and CPU, is introduced and the architecture and the key components of the CNTK are described, the command line options to use C NTK, and the network definition and model editing language are described.