Gao Huang

According to our database1, Gao Huang authored at least 59 papers between 2012 and 2020.

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Bibliography

2020
Cross-Iteration Batch Normalization.
CoRR, 2020

FSD-10: A Dataset for Competitive Sports Content Analysis.
CoRR, 2020

Gated Path Selection Network for Semantic Segmentation.
CoRR, 2020

Convolutional Networks with Dense Connectivity.
CoRR, 2020

2019
Cross-Domain Extreme Learning Machines for Domain Adaptation.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2019

Dynamic Minimax Probability Machine-Based Approach for Fault Diagnosis Using Pairwise Discriminate Analysis.
IEEE Trans. Contr. Sys. Techn., 2019

Design and Feasibility Study of a Leg-exoskeleton Assistive Wheelchair Robot with Tests on Gluteus Medius Muscles.
Sensors, 2019

Improved Techniques for Training Adaptive Deep Networks.
CoRR, 2019

Implicit Semantic Data Augmentation for Deep Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Asymmetric Valleys: Beyond Sharp and Flat Local Minima.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Joint Adversarial Domain Adaptation.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Anytime Stereo Image Depth Estimation on Mobile Devices.
Proceedings of the International Conference on Robotics and Automation, 2019

Rethinking the Value of Network Pruning.
Proceedings of the 7th International Conference on Learning Representations, 2019

Walking Control of Biped Robots on Uneven Terrains Based on SLIP Model.
Proceedings of the 2019 IEEE International Conference on Advanced Robotics and its Social Impacts, 2019

Planning and Control of Forward Jumping Movement of Humanoid Robot.
Proceedings of the 2019 IEEE International Conference on Advanced Robotics and its Social Impacts, 2019

Modular Design Solutions of BIT Wheelchair for Motion Assistance.
Proceedings of the 2019 IEEE International Conference on Advanced Robotics and its Social Impacts, 2019

Virtual-model-based compliance control for pushing recovery of position controlled humanoid robots.
Proceedings of the 2019 IEEE International Conference on Advanced Robotics and its Social Impacts, 2019

Horizontal Pyramid Matching for Person Re-Identification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation.
IEEE Trans. Image Processing, 2018

Learning Large Euclidean Margin for Sketch-based Image Retrieval.
CoRR, 2018

Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos.
CoRR, 2018

An empirical study on evaluation metrics of generative adversarial networks.
CoRR, 2018

Horizontal Pyramid Matching for Person Re-identification.
CoRR, 2018

Multi-Scale Dense Networks for Resource Efficient Image Classification.
Proceedings of the 6th International Conference on Learning Representations, 2018

Resource Aware Person Re-Identification Across Multiple Resolutions.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

CondenseNet: An Efficient DenseNet Using Learned Group Convolutions.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Dimension Reduction by Minimum Error Minimax Probability Machine.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2017

Prediction Reweighting for Domain Adaptation.
IEEE Trans. Neural Netw. Learning Syst., 2017

Twin extreme learning machines for pattern classification.
Neurocomputing, 2017

Memory-Efficient Implementation of DenseNets.
CoRR, 2017

Multi-Scale Dense Convolutional Networks for Efficient Prediction.
CoRR, 2017

Design and Control of Linkage Exoskeletons in Wheelchair.
Proceedings of the Advances in Service and Industrial Robotics, 2017

Snapshot Ensembles: Train 1, Get M for Free.
Proceedings of the 5th International Conference on Learning Representations, 2017

Learning Efficient Convolutional Networks through Network Slimming.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Densely Connected Convolutional Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Pairwise discriminate analysis based minimax probability machine (PDA-MPM) approach for fault diagnosis.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017

Design and construction of a cycling-based wheelchair prototype.
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2017

2016
Densely Connected Convolutional Networks.
CoRR, 2016

A master-slave control system for lower limb rehabilitation robot with pedal-actuated exoskeleton.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2016

Supervised Word Mover's Distance.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Deep Networks with Stochastic Depth.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Discriminative clustering via extreme learning machine.
Neural Networks, 2015

Trends in extreme learning machines: A review.
Neural Networks, 2015

Efficient Lasso training from a geometrical perspective.
Neurocomputing, 2015

Unsupervised neighborhood component analysis for clustering.
Neurocomputing, 2015

Incremental Extreme Learning Machine Based on Cascade Neural Networks.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Dimension Reduction by Maximizing Pairwise Discriminations.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Maximin Separation Probability Clustering.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Semi-Supervised and Unsupervised Extreme Learning Machines.
IEEE Trans. Cybernetics, 2014

Non-linear neighborhood component analysis based on constructive neural networks.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Development of an anthropomorphic flute robot for the application in science and technology museum.
Proceedings of the 2014 IEEE International Conference on Robotics and Biomimetics, 2014

Transductive Minimax Probability Machine.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Gradient boosted feature selection.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
A second order cone programming approach for semi-supervised learning.
Pattern Recognit., 2013

Kernelized LARS-LASSO for constructing radial basis function neural networks.
Neural Computing and Applications, 2013

Anytime Representation Learning.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Robust Support Vector Regression for Uncertain Input and Output Data.
IEEE Trans. Neural Netw. Learning Syst., 2012

Orthogonal Least Squares Algorithm for Training Cascade Neural Networks.
IEEE Trans. on Circuits and Systems, 2012


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