Xiang Li

Orcid: 0000-0001-9595-8526

Affiliations:

University of Western Ontario, Computer Science Department, London, ON, Canada (PhD 2017)
National University of Defense Technology, School of Computer, Changsha, China (former)

According to our database¹, Xiang Li authored at least 30 papers between 2010 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

Kernel Path for ν-Support Vector Classification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2023

2022

Large-Scale Nonlinear AUC Maximization via Triply Stochastic Gradients.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Towards Fairer Classifier via True Fairness Score Path.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Scalable Kernel Ordinal Regression via Doubly Stochastic Gradients.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Triply stochastic gradient method for large-scale nonlinear similar unlabeled classification.

[BibT_eX]

[DOI]

Mach. Learn., 2021

Finding Age Path of Self-Paced Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Semi-Supervised Multi-Label Learning from Crowds via Deep Sequential Generative Model.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Safe Sample Screening for Robust Support Vector Machine.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Efficient inexact proximal gradient algorithms for structured sparsity-inducing norm.

[BibT_eX]

[DOI]

Neural Networks, 2019

Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Scalable Semi-Supervised SVM via Triply Stochastic Gradients.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

The convergence of linear classifiers on large sparse data.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Faster Training Algorithms for Structured Sparsity-Inducing Norm.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Pelee: A Real-Time Object Detection System on Mobile Devices.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Triply Stochastic Gradients on Multiple Kernel Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Effective Multiclass Transfer for Hypothesis Transfer Learning.

[BibT_eX]

[DOI]

Shuang Ao

Xiang Li

Charles X. Ling

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Fast Generalized Distillation for Semi-Supervised Domain Adaptation.

[BibT_eX]

[DOI]

Shuang Ao

Xiang Li

Charles X. Ling

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

The Convergence Behavior of Naive Bayes on Large Sparse Datasets.

[BibT_eX]

[DOI]

Xiang Li

Charles X. Ling

Huaimin Wang

ACM Trans. Knowl. Discov. Data, 2016

2015

Data Sparseness in Linear SVM.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014

Hierarchical Categorization of Open Source Software by Online Profiles.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2014

2013

HESA: The Construction and Evaluation of Hierarchical Software Feature Repository.

[BibT_eX]

Proceedings of the 25th International Conference on Software Engineering and Knowledge Engineering, 2013

Mining Software Profile across Multiple Repositories for Hierarchical Categorization.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Software Maintenance, 2013

2012

Labeled topic detection of open source software from mining mass textual project profiles.

[BibT_eX]

[DOI]

Proceedings of the First International KDD Workshop on Software Mining, 2012

Exploiting Attribute Redundancy in Extracting Open Source Forge Websites.

[BibT_eX]

[DOI]

Proceedings of the 2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2012

Inducing Taxonomy from Tags: An Agglomerative Hierarchical Clustering Framework.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

2011

An Indent Shape Based Approach for Web Lists Mining.

[BibT_eX]

[DOI]

Proceedings of the Web Information Systems and Mining - International Conference, 2011

Exploiting Attribute Redundancy for Web Entity Data Extraction.

[BibT_eX]

[DOI]

Proceedings of the Digital Libraries: For Cultural Heritage, Knowledge Dissemination, and Future Creation, 2011

2010

Mining Frequent Development Patterns of roles in Open Source Software.

[BibT_eX]

[DOI]

Proceedings of the Symposia and Workshops on Ubiquitous, 2010

Xiang Li

Timeline

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