Zhanxing Zhu

According to our database1, Zhanxing Zhu authored at least 24 papers between 2009 and 2019.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects.
Proceedings of the 36th International Conference on Machine Learning, 2019

Interpreting Adversarially Trained Convolutional Neural Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019

SpHMC: Spectral Hamiltonian Monte Carlo.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Bayesian Adversarial Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Reinforced Continual Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

SIPID: A deep learning framework for sinogram interpolation and image denoising in low-dose CT reconstruction.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Stochastic Fractional Hamiltonian Monte Carlo.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Yet Another Text Captcha Solver: A Generative Adversarial Network Based Approach.
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

2017
Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Integrating local information for inference and optimization in machine learning.
PhD thesis, 2016

Stochastic Parallel Block Coordinate Descent for Large-Scale Saddle Point Problems.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Adaptive Stochastic Primal-Dual Coordinate Descent for Separable Saddle Point Problems.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Aggregation Under Bias: Rényi Divergence Aggregation and Its Implementation via Machine Learning Markets.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2013
Supervised Distance Preserving Projections.
Neural Processing Letters, 2013

Multiplicative Updates for Learning with Stochastic Matrices.
Proceedings of the Image Analysis, 18th Scandinavian Conference, 2013

2011
Hyperspectral unmixing using non-negative matrix factorization with automatically estimating regularization parameters.
Proceedings of the Seventh International Conference on Natural Computation, 2011

2010
A method of automatically estimating the regularization parameter for Non-negative Matrix Factorization.
Proceedings of the Sixth International Conference on Natural Computation, 2010

Automatic Rank Determination in Projective Nonnegative Matrix Factorization.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

2009
Quadratic Form Innovation to Blind Source Separation.
Proceedings of the Fifth International Conference on Natural Computation, 2009

A Fixed-Point Algorithm for Nonnegative Independent Component Analysis.
Proceedings of the Fifth International Conference on Natural Computation, 2009


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