Hanzhang Hu

According to our database, Hanzhang Hu authored at least 20 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Two-grid method for compressible miscible displacement problem by mixed finite element methods and expanded mixed finite element method of characteristics.

Hanzhang Hu

Numer. Algorithms, 2022

Optimal Convergence of the Newton Iterative Crank-Nicolson Finite Element Method for the Nonlinear Schrödinger Equation.

Hanzhang Hu, Buyang Li, Jun Zou

Comput. Methods Appl. Math., 2022

Two-grid finite volume element method for the time-dependent Schrödinger equation.

Chuanjun Chen, Yuzhi Lou, Hanzhang Hu

Comput. Math. Appl., 2022

2021

Analysis of finite element two-grid algorithms for two-dimensional nonlinear Schrödinger equation with wave operator.

Hanzhang Hu, Yanping Chen

J. Comput. Appl. Math., 2021

2020

A two-grid method for characteristic expanded mixed finite element solution of miscible displacement problem.

Hanzhang Hu, Yanping Chen

Numer. Linear Algebra Appl., 2020

Numerical solution of two-dimensional nonlinear Schrödinger equation using a new two-grid finite element method.

Hanzhang Hu, Yanping Chen

J. Comput. Appl. Math., 2020

A characteristic finite element two-grid algorithm for a compressible miscible displacement problem.

Hanzhang Hu, Yanping Chen, Yunqing Huang

Adv. Comput. Math., 2020

2019

Anytime Prediction and Learning for the Balance between Computation and Accuracy.

Hanzhang Hu

PhD thesis, 2019

Numerical solution of a miscible displacement problem with dispersion term using a two-grid mixed finite element approach.

Hanzhang Hu, Yiping Fu, Jie Zhou

Numer. Algorithms, 2019

Convergence analysis of spectral methods for high-order nonlinear Volterra integro-differential equations.

Xiulian Shi, Fenglin Huang, Hanzhang Hu

Comput. Appl. Math., 2019

Efficient Forward Architecture Search.

Hanzhang Hu, John Langford, Rich Caruana, Saurajit Mukherjee, Eric Horvitz, Debadeepta Dey

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing.

Hanzhang Hu, Debadeepta Dey, Martial Hebert, J. Andrew Bagnell

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Two-grid method for compressible miscible displacement problem by CFEM-MFEM.

Jiaoyan Zeng, Yanping Chen, Hanzhang Hu

J. Comput. Appl. Math., 2018

Two-grid method for two-dimensional nonlinear Schrödinger equation by mixed finite element method.

Hanzhang Hu

Comput. Math. Appl., 2018

2017

Log-DenseNet: How to Sparsify a DenseNet.

Hanzhang Hu, Debadeepta Dey, Allison Del Giorno, Martial Hebert, J. Andrew Bagnell

CoRR, 2017

Anytime Neural Networks via Joint Optimization of Auxiliary Losses.

Hanzhang Hu, Debadeepta Dey, J. Andrew Bagnell, Martial Hebert

CoRR, 2017

Gradient Boosting on Stochastic Data Streams.

Hanzhang Hu, Wen Sun, Arun Venkatraman, Martial Hebert, J. Andrew Bagnell

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Two-grid method for miscible displacement problem by mixed finite element methods and finite element method of characteristics.

Hanzhang Hu, Yanping Chen, Jie Zhou

Comput. Math. Appl., 2016

Efficient Feature Group Sequencing for Anytime Linear Prediction.

Hanzhang Hu, Alexander Grubb, J. Andrew Bagnell, Martial Hebert

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

2013

Efficient 3-D scene analysis from streaming data.

Hanzhang Hu, Daniel Munoz, J. Andrew Bagnell, Martial Hebert

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013