Linbo Qiao

According to our database1, Linbo Qiao authored at least 32 papers between 2012 and 2021.

Collaborative distances:



In proceedings 
PhD thesis 




Novel Convergence Results of Adaptive Stochastic Gradient Descents.
IEEE Trans. Image Process., 2021

Stereo Matching Using Multi-Level Cost Volume and Multi-Scale Feature Constancy.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

A survey of script learning.
Frontiers Inf. Technol. Electron. Eng., 2021

Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training.
CoRR, 2021

Towards Practical Privacy-Preserving Decision Tree Training and Evaluation in the Cloud.
IEEE Trans. Inf. Forensics Secur., 2020

Accelerating SGD using flexible variance reduction on large-scale datasets.
Neural Comput. Appl., 2020

An efficient parallel and distributed solution to nonconvex penalized linear SVMs.
Frontiers Inf. Technol. Electron. Eng., 2020

Event Arguments Extraction via Dilate Gated Convolutional Neural Network With Enhanced Local Features.
IEEE Access, 2020

ADMMiRNN: Training RNN with Stable Convergence via an Efficient ADMM Approach.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Mini-batch cutting plane method for regularized risk minimization.
Frontiers Inf. Technol. Electron. Eng., 2019

Block coordinate descentwith time perturbation for nonconvex nonsmooth problems in real-world studies.
Frontiers Inf. Technol. Electron. Eng., 2019

Bregman reweighted alternating minimization and its application to image deblurring.
Inf. Sci., 2019

Exploring Pre-trained Language Models for Event Extraction and Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Stochastic extra-gradient based alternating direction methods for graph-guided regularized minimization.
Frontiers Inf. Technol. Electron. Eng., 2018

On the iteration complexity analysis of Stochastic Primal-Dual Hybrid Gradient approach with high probability.
Neurocomputing, 2018

Stochastic Primal-Dual Proximal ExtraGradient descent for compositely regularized optimization.
Neurocomputing, 2018

Asynchronous Bundle Method for Large-Scale Regularized Risk Minimization.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

FVR-SGD: A New Flexible Variance-Reduction Method for SGD on Large-Scale Datasets.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Malware Collusion Attack Against Machine Learning Based Methods: Issues and Countermeasures.
Proceedings of the Cloud Computing and Security - 4th International Conference, 2018

Learning for Disparity Estimation Through Feature Constancy.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

A systematic review of structured sparse learning.
Frontiers Inf. Technol. Electron. Eng., 2017

Learning Deep Correspondence through Prior and Posterior Feature Constancy.
CoRR, 2017

Semantic tracking: Single-target tracking with inter-supervised convolutional networks.
CoRR, 2016

Rigidly Self-Expressive Sparse Subspace Clustering.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016

Distractor-Supported Single Target Tracking in Extremely Cluttered Scenes.
Proceedings of the Computer Vision - ECCV 2016, 2016

On Stochastic Primal-Dual Hybrid Gradient Approach for Compositely Regularized Minimization.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

An Efficient Algorithm for Tensor Principal Component Analysis via Proximal Linearized Alternating Direction Method of Multipliers.
Proceedings of the International Conference on Advanced Cloud and Big Data, 2016

Linearized Alternating Direction Method of Multipliers for Constrained Nonconvex Regularized Optimization.
Proceedings of The 8th Asian Conference on Machine Learning, 2016

Sparse Subspace Clustering for Incomplete Images.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Online Mining of Attack Models in IDS Alerts from Network Backbone by a Two-Stage Clustering Method.
Proceedings of the Cyberspace Safety and Security - 5th International Symposium, 2013

Mining of Attack Models in IDS Alerts from Network Backbone by a Two-stage Clustering Method.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012