Fei Hu

According to our database1, Fei Hu authored at least 20 papers between 2016 and 2019.

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



In proceedings 
PhD thesis 


Online presence:

On csauthors.net:


An adaptive mechanism to achieve learning rate dynamically.
Neural Comput. Appl., 2019

Opinion extraction by distinguishing term dependencies and digging deep text features.
Neural Comput. Appl., 2019

Diversifying Topic-Coherent Response Generation for Natural Multi-turn Conversations.
CoRR, 2019

An Improved Historical Embedding without Alignment.
CoRR, 2019

Identifying word evolution by incorporating PoS and avoiding alignment of temporal words.
Appl. Soft Comput., 2019

Stochastic gradient descent with variance reduction technique.
Web Intell., 2018

A fast pseudo-stochastic sequential cipher generator based on RBMs.
Neural Comput. Appl., 2018

A Locally Adaptive Multi-Label k-Nearest Neighbor Algorithm.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

A Deep Prediction Model of Traffic Flow Considering Precipitation Impact.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Extracting Label Importance Information for Multi-label Classification.
Proceedings of the Database Systems for Advanced Applications, 2018

Emphasizing Essential Words for Sentiment Classification Based on Recurrent Neural Networks.
J. Comput. Sci. Technol., 2017

Modeling Complementary Relationships of Cross-Category Products for Personal Ranking.
Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

Exploring Latent Bundles from Social Behaviors for Personalized Ranking.
Proceedings of the Knowledge Science, Engineering and Management, 2017

AEDR: An Adaptive Mechanism to Achieve Online Learning Rate Dynamically.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Learning Image Representation Based on Convolutional Neural Networks.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Deep Bi-directional Long Short-Term Memory Model for Short-Term Traffic Flow Prediction.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Memory-Enhanced Latent Semantic Model: Short Text Understanding for Sentiment Analysis.
Proceedings of the Database Systems for Advanced Applications, 2017

Exploiting Label Correlations Using DBN Chains for Multi-Label Classification.
Proceedings of the 12th Chinese Conference on Computer Supported Cooperative Work and Social Computing, 2017

Efficient Stance Detection with Latent Feature.
Proceedings of the Web and Big Data, 2017

An image compression and encryption scheme based on deep learning.
CoRR, 2016