Zhouhan Lin

According to our database1, Zhouhan Lin authored at least 23 papers between 2012 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
Focused Hierarchical RNNs for Conditional Sequence Processing.
CoRR, 2018

Straight to the Tree: Constituency Parsing with Neural Syntactic Distance.
CoRR, 2018

A Deep Reinforcement Learning Chatbot (Short Version).
CoRR, 2018

Learning Hierarchical Structures On-The-Fly with a Recurrent-Recursive Model for Sequences.
Proceedings of The Third Workshop on Representation Learning for NLP, 2018

Focused Hierarchical RNNs for Conditional Sequence Processing.
Proceedings of the 35th International Conference on Machine Learning, 2018

Straight to the Tree: Constituency Parsing with Neural Syntactic Distance.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Neural Language Modeling by Jointly Learning Syntax and Lexicon.
CoRR, 2017

A Deep Reinforcement Learning Chatbot.
CoRR, 2017

A Structured Self-attentive Sentence Embedding.
CoRR, 2017

2016
Architectural Complexity Measures of Recurrent Neural Networks.
CoRR, 2016

Recurrent Neural Networks With Limited Numerical Precision.
CoRR, 2016

Recurrent Neural Networks With Limited Numerical Precision.
CoRR, 2016

Theano: A Python framework for fast computation of mathematical expressions.
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
CoRR, 2016

Architectural Complexity Measures of Recurrent Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
How far can we go without convolution: Improving fully-connected networks.
CoRR, 2015

Spectral-Spatial Classification of Hyperspectral Image Using Autoencoders.
CoRR, 2015

Neural Networks with Few Multiplications.
CoRR, 2015

Towards Biologically Plausible Deep Learning.
CoRR, 2015

2014
Joint Adaboost and multifeature based ensemble for hyperspectral image classification.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013
Supervised Locally Linear Embedding based dimension reduction for hyperspectral image classification.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Riemannian manifold learning based k-nearest-neighbor for hyperspectral image classification.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Spectral-spatial classification of hyperspectral image using autoencoders.
Proceedings of the 9th International Conference on Information, 2013

2012
Parallel implementation for SAM algorithm based on GPU and distributed computing.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012


  Loading...