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Jason Liang
Jason Liang
Cognizant AI; Ex-Sentient Technologies; University of Texas at Austin
Verified email at utexas.edu - Homepage
Title
Cited by
Cited by
Year
Evolving Deep Neural Networks
R Miikkulainen, J Liang, E Meyerson, A Rawal, D Fink, O Francon, B Raju, ...
arXiv preprint arXiv:1703.00548, 8, 2017
9162017
Image Based Localization in Indoor Environments
JZ Liang, N Corso, E Turner, A Zakhor
2013 Fourth International Conference on Computing for Geospatial Research …, 2013
1392013
Evolutionary Architecture Search For Deep Multitask Networks
J Liang, E Meyerson, R Miikkulainen
Proceedings of the Genetic and Evolutionary Computation Conference, 466-473, 2018
1152018
Evolutionary Neural AutoML for Deep Learning
J Liang, E Meyerson, B Hodjat, D Fink, K Mutch, R Miikkulainen
Proceedings of the Genetic and Evolutionary Computation Conference, 401-409, 2019
712019
Artificial intelligence in the age of neural networks and brain computing
R Miikkulainen, J Liang, E Meyerson, A Rawal, D Fink, O Francon, B Raju, ...
Elsevier, 2019
332019
Image-Based Positioning of Mobile Devices in Indoor Environments
JZ Liang, N Corso, E Turner, A Zakhor
Multimodal location estimation of videos and images, 85-99, 2015
332015
UT Austin Villa: RoboCup 2015 3D Simulation League Competition and Technical Challenges Champions
P MacAlpine, J Hanna, J Liang, P Stone
Robot Soccer World Cup, 118-131, 2015
282015
Evolutionary Bilevel Optimization for Complex Control Tasks
JZ Liang, R Miikkulainen
Proceedings of the 2015 annual conference on genetic and evolutionary …, 2015
242015
Reduced-Complexity Data Acquisition System for Image-Based Localization in Indoor Environments
JZ Liang, N Corso, E Turner, A Zakhor
International Conference on Indoor Positioning and Indoor Navigation, 1-9, 2013
222013
Chapter 15-evolving deep neural networks
R Miikkulainen, J Liang, E Meyerson, A Rawal, D Fink, O Francon, B Raju, ...
Artificial Intelligence in the Age of Neural Networks and Brain Computing …, 0
20
Designing counterfactual generators using deep model inversion
J Thiagarajan, VS Narayanaswamy, D Rajan, J Liang, A Chaudhari, ...
Advances in Neural Information Processing Systems 34, 16873-16884, 2021
72021
Regularized Evolutionary Population-Based Training
J Liang, S Gonzalez, H Shahrzad, R Miikkulainen
arXiv preprint arXiv:2002.04225, 2021
3*2021
Asynchronous Evaluation Strategy For Evolution Of Deep Neural Networks
JZ Liang, H Shahrzad, B Hodjat, R Miikkulainen
US Patent App. 15/915,028, 2018
32018
Population-Based Training for Loss Function Optimization
J Liang, S Gonzalez, R Miikkulainen
arXiv preprint arXiv:2002.04225, 2020
22020
Multiobjective Coevolution of Deep Neural Network Architectures
JZ Liang, E Meyerson, R Miikkulainen
US Patent App. 16/671,274, 2020
12020
Discovering gated recurrent neural network architectures
A Rawal, J Liang, R Miikkulainen
Deep Neural Evolution, 233-251, 2020
12020
Evolution of Deep Neural Network Structures
JZ Liang, R Miikkulainen
US Patent App. 15/794,905, 2018
1*2018
Training Stacked Denoising Autoencoders for Representation Learning
J Liang, K Kelly
arXiv preprint arXiv:2102.08012, 2014
12014
Method and System For Sharing Meta-Learning Method (s) Among Multiple Private Data Sets
DE Fink, J Liang, R Miikkulainen
US Patent App. 17/064,706, 2022
2022
Evolution of architectures for multitask neural networks
JZ Liang, E Meyerson, R Miikkulainen
US Patent 11,030,529, 2021
2021
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