Wei Gao

Affiliations:
  • Nanjing University, National Key Laboratory for Novel Software Technology, China


According to our database1, Wei Gao authored at least 32 papers between 2009 and 2022.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Analysis and Demonstration of First Cross-Support Interferometry Tracking in China Mars Mission.
Remote. Sens., 2022

Towards understanding theoretical advantages of complex-reaction networks.
Neural Networks, 2022

Towards convergence rate analysis of random forests for classification.
Artif. Intell., 2022

Data Removal from an AUC Optimization Model.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

On the Optimization of Margin Distribution.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Fast Provably Robust Decision Trees and Boosting.
Proceedings of the International Conference on Machine Learning, 2022

2021
On the noise estimation statistics.
Artif. Intell., 2021

2020
Towards Convergence Rate Analysis of Random Forests for Classification.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

AUC Optimization with a Reject Option.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Fast Multi-Instance Multi-Label Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

On the Robust Splitting Criterion of Random Forest.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Weighted Oblique Decision Trees.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Learning safe multi-label prediction for weakly labeled data.
Mach. Learn., 2018

Unorganized Malicious Attacks Detection.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Tri-net for Semi-Supervised Deep Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Effects of the optimisation of the margin distribution on generalisation in deep architectures.
CoRR, 2017

Efficient Label Contamination Attacks Against Black-Box Learning Models.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
On the Consistency of Exact and Approximate Nearest Neighbor with Noisy Data.
CoRR, 2016

Dropout Rademacher complexity of deep neural networks.
Sci. China Inf. Sci., 2016

One-pass AUC optimization.
Artif. Intell., 2016

Learnability of Non-I.I.D.
Proceedings of The 8th Asian Conference on Machine Learning, 2016

Risk Minimization in the Presence of Label Noise.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
On the Consistency of AUC Pairwise Optimization.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

One-Pass Multi-View Learning.
Proceedings of The 7th Asian Conference on Machine Learning, 2015

2013
On the doubt about margin explanation of boosting.
Artif. Intell., 2013

Uniform Convergence, Stability and Learnability for Ranking Problems.
Proceedings of the IJCAI 2013, 2013

One-Pass AUC Optimization.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
On the consistency of AUC Optimization
CoRR, 2012

2011
On the Consistency of Multi-Label Learning.
Proceedings of the COLT 2011, 2011

2010
The kth, Median and Average Margin Bounds for AdaBoost
CoRR, 2010

Approximation Stability and Boosting.
Proceedings of the Algorithmic Learning Theory, 21st International Conference, 2010

2009
On P-partitions related to ordinal sums of posets.
Eur. J. Comb., 2009


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