We stand with Ukraine

We stand with Ukraine

Gaowei Wu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2023

Adapting Step-size: A Unified Perspective to Analyze and Improve Gradient-based Methods for Adversarial Attacks.

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CoRR, 2023

2022

Momentum Acceleration in the Individual Convergence of Nonsmooth Convex Optimization With Constraints.

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IEEE Trans. Neural Networks Learn. Syst., 2022

2021

Classifying the tracing difficulty of 3D neuron image blocks based on deep learning.

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Brain Informatics, 2021

Exploring highly reliable substructures in auto-reconstructions of a neuron.

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Brain Informatics, 2021

The Role of Momentum Parameters in the Optimal Convergence of Adaptive Polyak's Heavy-ball Methods.

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Proceedings of the 9th International Conference on Learning Representations, 2021

2020

The Strength of Nesterov's Extrapolation in the Individual Convergence of Nonsmooth Optimization.

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IEEE Trans. Neural Networks Learn. Syst., 2020

Primal Averaging: A New Gradient Evaluation Step to Attain the Optimal Individual Convergence.

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IEEE Trans. Cybern., 2020

2018

Improving Sparsity and Scalability in Regularized Nonconvex Truncated-Loss Learning Problems.

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IEEE Trans. Neural Networks Learn. Syst., 2018

2015

Parallel Recursive Deep Model for Sentiment Analysis.

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Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

2014

Stochastic Learning via Optimizing the Variational Inequalities.

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IEEE Trans. Neural Networks Learn. Syst., 2014

Recursive Deep Learning for Sentiment Analysis over Social Data.

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Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

Obtaining Better Word Representations via Language Transfer.

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Proceedings of the Computational Linguistics and Intelligent Text Processing, 2014

Improving Word Embeddings via Combining with Complementary Languages.

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Proceedings of the Advances in Artificial Intelligence, 2014

2013

A Fast Matching Method Based on Semantic Similarity for Short Texts.

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Proceedings of the Natural Language Processing and Chinese Computing, 2013

2012

Stochastic Coordinate Descent Methods for Regularized Smooth and Nonsmooth Losses.

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Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2011

Adapting centroid classifier for document categorization.

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Expert Syst. Appl., 2011

2009

Enhancing the Performance of Centroid Classifier by ECOC and Model Refinement.

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Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

2008

A general soft method for learning SVM classifiers with L<sub>1</sub>-norm penalty.

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Pattern Recognit., 2008

Using unlabeled data to handle domain-transfer problem of semantic detection.

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Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

AdaSum: an adaptive model for summarization.

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Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007

Learning linear PCA with convex semi-definite programming.

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Pattern Recognit., 2007

A novel scheme for domain-transfer problem in the context of sentiment analysis.

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Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

2006

The theoretical analysis of FDA and applications.

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Pattern Recognit., 2006

One-Class Strategies for Security Information Detection.

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Proceedings of the Intelligence and Security Informatics, International Workshop, 2006

2005

Posterior probability support vector Machines for unbalanced data.

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IEEE Trans. Neural Networks, 2005

A new maximum margin algorithm for one-class problems and its boosting implementation.

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Pattern Recognit., 2005

Some Marginal Learning Algorithms for Unsupervised Problems.

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Proceedings of the Intelligence and Security Informatics, 2005

2004

A generalized S-K algorithm for learning v-SVM classifiers.

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Pattern Recognit. Lett., 2004

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