Weiwei Li

Orcid: 0000-0001-7811-4719

Affiliations:
  • Nanjing University of Aeronautics and Astronautics, Nanjing, China


According to our database1, Weiwei Li authored at least 44 papers between 2007 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Sample diversity selection strategy based on label distribution morphology for active label distribution learning.
Pattern Recognit., 2024

ASTSDL: predicting the functionality of incomplete programming code via an AST-sequence-based deep learning model.
Sci. China Inf. Sci., 2024

Generative Calibration of Inaccurate Annotation for Label Distribution Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Predicting Label Distribution From Tie-Allowed Multi-Label Ranking.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Ranking-preserved generative label enhancement.
Mach. Learn., December, 2023

Label Distribution Learning by Maintaining Label Ranking Relation.
IEEE Trans. Knowl. Data Eng., 2023

Label Enhancement via Joint Implicit Representation Clustering.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Generative Label Enhancement with Gaussian Mixture and Partial Ranking.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
ASTENS-BWA: Searching partial syntactic similar regions between source code fragments via AST-based encoded sequence alignment.
Sci. Comput. Program., 2022

Semi-supervised label enhancement via structured semantic extraction.
Int. J. Mach. Learn. Cybern., 2022

Label enhancement with label-specific feature learning.
Int. J. Mach. Learn. Cybern., 2022

Fast code recommendation via approximate sub-tree matching.
Frontiers Inf. Technol. Electron. Eng., 2022

Label distribution learning with noisy labels via three-way decisions.
Int. J. Approx. Reason., 2022

Filling Missing Labels in Label Distribution Learning by Exploiting Label-Specific Feature Selection.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Label Distribution Learning with Label Correlations on Local Samples.
IEEE Trans. Knowl. Data Eng., 2021

An automatic three-way clustering method based on sample similarity.
Int. J. Mach. Learn. Cybern., 2021

Semi-supervised label distribution learning via projection graph embedding.
Inf. Sci., 2021

2020
Joint Label-Specific Features and Correlation Information for Multi-Label Learning.
J. Comput. Sci. Technol., 2020

Effort-Aware semi-Supervised just-in-Time defect prediction.
Inf. Softw. Technol., 2020

Constructing three-way concept lattice based on the composite of classical lattices.
Int. J. Approx. Reason., 2020

ASPDup: AST-Sequence-based Progressive Duplicate Code Detection Tool for Onsite Programming Code.
Proceedings of the Internetware'20: 12th Asia-Pacific Symposium on Internetware, 2020

Multi-Label Learning with Local Similarity of Samples.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Privileged label enhancement with multi-label learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Tensor-based multi-view label enhancement for multi-label learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
A multiphase cost-sensitive learning method based on the multiclass three-way decision-theoretic rough set model.
Inf. Sci., 2019

Multi-objective attribute reduction in three-way decision-theoretic rough set model.
Int. J. Approx. Reason., 2019

Effort-Aware Tri-Training for Semi-supervised Just-in-Time Defect Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Label Distribution Learning with Label Correlations via Low-Rank Approximation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Label distribution learning with label-specific features.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Facial Emotion Distribution Learning by Exploiting Low-Rank Label Correlations Locally.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

SENSORY: Leveraging Code Statement Sequence Information for Code Snippets Recommendation.
Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019

2018
A Novel Takagi-Sugeno Fuzzy System Modeling Method with Joint Feature Selection and Rule Reduction.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

Label Distribution Learning by Exploiting Sample Correlations Locally.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Label Distribution Learning by Exploiting Label Correlations.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Partial order reduction for checking LTL formulae with the next-time operator.
J. Log. Comput., 2017

A Better Translation From LTL to Transition-Based Generalized Büchi Automata.
IEEE Access, 2017

A Multi-objective Attribute Reduction Method in Decision-Theoretic Rough Set Model.
Proceedings of the Knowledge Science, Engineering and Management, 2017

2016
Three-way decisions based software defect prediction.
Knowl. Based Syst., 2016

Neighborhood based decision-theoretic rough set models.
Int. J. Approx. Reason., 2016

2014
Service Outsourcing Character Oriented Privacy Conflict Detection Method in Cloud Computing.
J. Appl. Math., 2014

2013
Two-Phase Classification Based on Three-Way Decisions.
Proceedings of the Rough Sets and Knowledge Technology - 8th International Conference, 2013

2012
Three-Way Decisions Solution to Filter Spam Email: An Empirical Study.
Proceedings of the Rough Sets and Current Trends in Computing, 2012

2011
An Optimization Viewpoint of Decision-Theoretic Rough Set Model.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

2007
An Incremental Updating Algorithm for Core Computing in Dominance-Based Rough Set Model.
Proceedings of the Rough Sets, 2007


  Loading...