Feng Hu

Orcid: 0000-0002-1434-2429

Affiliations:
  • Chongqing University of Posts and Telecommunications, Chongqing Key Laboratory of Computational Intelligence, China
  • Southwest Jiaotong University, School of Information Science and Technology, Chengdu, China (former)


According to our database1, Feng Hu authored at least 26 papers between 2005 and 2023.

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

Timeline

Legend:

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Bibliography

2023
Building Interpretable Deep CNN Based on Binary Tree Structure Convolution Layers.
Proceedings of the 8th International Conference on Mathematics and Artificial Intelligence, 2023

2022
A temporal-attribute attention neural network for mixed frequency data forecasting.
Int. J. Mach. Learn. Cybern., 2022

2021
Selective kernel networks for weakly supervised relation extraction.
CAAI Trans. Intell. Technol., 2021

Designing a Partially Understandable Neural Network through Semantic Embedding.
Proceedings of the International Joint Conference on Neural Networks, 2021

2019
Learning Multi-granular Features for Harvesting Knowledge from Free Text.
Proceedings of the Rough Sets - International Joint Conference, 2019

Extraction Method with Word Distribution Enriched Deep Residual Network.
Proceedings of the ICAIP 2019: 3rd International Conference on Advances in Image Processing, 2019

2018
基于Spark的点排序识别聚类结构算法 (Algorithm for Ordering Points to Identify Clustering Structure Based on Spark).
计算机科学, 2018

Tag recommendation method in folksonomy based on user tagging status.
J. Intell. Inf. Syst., 2018

2016
A rule induction algorithm in incomplete decision table based on attribute order.
J. Intell. Fuzzy Syst., 2016

2014
Data-driven Valued Tolerance Relation Based on the Extended Rough Set.
Fundam. Informaticae, 2014

An Incremental Clustering Approach Based on Three-Way Decisions.
Proceedings of the Rough Sets and Current Trends in Computing, 2014

Fuzziness of rough sets generated by a covering.
Proceedings of the 11th International Conference on Fuzzy Systems and Knowledge Discovery, 2014

2013
A Novel Method for Elimination of Inconsistencies in Ordinal Classification with Monotonicity Constraints.
Fundam. Informaticae, 2013

Test-Cost-Sensitive Attribute Reduction in Decision-Theoretic Rough Sets.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2013

A stable gene selection method based on sample weighting.
Proceedings of the 26th IEEE Canadian Conference on Electrical and Computer Engineering CCECE 2013, 2013

2012
Two-Step Gene Feature Selection Algorithm Based on Permutation Test.
Proceedings of the Rough Sets and Current Trends in Computing, 2012

On Different Ways of Handling Inconsistencies in Ordinal Classification with Monotonicity Constraints.
Proceedings of the Advances on Computational Intelligence, 2012

2011
A New Method for Inconsistent Multicriteria Classification.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

An Improved Variable Precision Model of Dominance-Based Rough Set Approach.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 2011

2010
RSCTC'2010 Discovery Challenge: Mining DNA Microarray Data for Medical Diagnosis and Treatment.
Proceedings of the Rough Sets and Current Trends in Computing, 2010

2008
Fast Knowledge Reduction Algorithms Based on Quick Sort.
Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

Huge Data Mining Based on Rough Set Theory and Granular Computing.
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

2007
Attribute Core Computation Based on Divide and Conquer Method.
Proceedings of the Rough Sets and Intelligent Systems Paradigms, International Conference, 2007

Quick Knowledge Reduction Based on Divide and Conquer Method in Huge Data Sets.
Proceedings of the Pattern Recognition and Machine Intelligence, 2007

2006
A Fault Diagnosis Prototype System Based on Causality Diagram.
Proceedings of the Computational Intelligence, 2006

2005
Incremental Attribute Reduction Based on Elementary Sets.
Proceedings of the Rough Sets, 2005


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