Sen Na

Orcid: 0000-0002-8478-5057

According to our database1, Sen Na authored at least 26 papers between 2013 and 2023.

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

Timeline

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Links

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Bibliography

2023
Inequality constrained stochastic nonlinear optimization via active-set sequential quadratic programming.
Math. Program., November, 2023

An adaptive stochastic sequential quadratic programming with differentiable exact augmented lagrangians.
Math. Program., May, 2023

Superconvergence of Online Optimization for Model Predictive Control.
IEEE Trans. Autom. Control., March, 2023

Hessian averaging in stochastic Newton methods achieves superlinear convergence.
Math. Program., 2023

Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching.
Proceedings of the International Conference on Machine Learning, 2023

2022
On the Convergence of Overlapping Schwarz Decomposition for Nonlinear Optimal Control.
IEEE Trans. Autom. Control., 2022

Near-Optimal Performance of Stochastic Predictive Control.
CoRR, 2022

Asymptotic Convergence Rate and Statistical Inference for Stochastic Sequential Quadratic Programming.
CoRR, 2022

SFGAE: a self-feature-based graph autoencoder model for miRNA-disease associations prediction.
Briefings Bioinform., 2022

The graph-based behavior-aware recommendation for interactive news.
Appl. Intell., 2022

2021
AEGCN: An Autoencoder-Constrained Graph Convolutional Network.
Neurocomputing, 2021

Global Convergence of Online Optimization for Nonlinear Model Predictive Control.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Exponential Decay in the Sensitivity Analysis of Nonlinear Dynamic Programming.
SIAM J. Optim., 2020

AEGCN: An Autoencoder-Constrained Graph Convolutional Network.
CoRR, 2020

Overlapping Schwarz Decomposition for Nonlinear Optimal Control.
CoRR, 2020

Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
High-dimensional Varying Index Coefficient Models via Stein's Identity.
J. Mach. Learn. Res., 2019

A New Learning-Based One Shot Detection Framework for Natural Images.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

2018
The Graph-based Broad Behavior-Aware Recommendation System for Interactive News.
CoRR, 2018

High-dimensional Index Volatility Models via Stein's Identity.
CoRR, 2018

2017
Stochastic Strictly Contractive Peaceman-Rachford Splitting Method.
CoRR, 2017

2013
Understanding the Query: THCIB and THUIS at NTCIR-10 Intent Task.
Proceedings of the 10th NTCIR Conference on Evaluation of Information Access Technologies, 2013

Ranking Search Intents Underlying a Query.
Proceedings of the Natural Language Processing and Information Systems, 2013

Concept-based Medical Document Retrieval: THCIB at CLEF eHealth Lab 2013 Task 3.
Proceedings of the Working Notes for CLEF 2013 Conference , 2013

Normalization of Abbreviations/Acronyms: THCIB at CLEF eHealth 2013 Task 2.
Proceedings of the Working Notes for CLEF 2013 Conference , 2013

Combining MetaMap and cTAKES in Disorder Recognition: THCIB at CLEF eHealth Lab 2013 Task 1.
Proceedings of the Working Notes for CLEF 2013 Conference , 2013


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