Gao Huang

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2021
Graph Embedding-Based Dimension Reduction With Extreme Learning Machine.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Self-Attention-Based Temporary Curiosity in Reinforcement Learning Exploration.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Gated Path Selection Network for Semantic Segmentation.
IEEE Trans. Image Process., 2021

Deep Siamese Networks Based Change Detection with Remote Sensing Images.
Remote. Sens., 2021

Deep Residual Correction Network for Partial Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

A privacy-preserving image retrieval scheme based secure kNN, DNA coding and deep hashing.
Multim. Tools Appl., 2021

Fusion layer attention for image-text matching.
Neurocomputing, 2021

Fine-Grained Few Shot Learning with Foreground Object Transformation.
CoRR, 2021

Towards Learning Spatially Discriminative Feature Representations.
CoRR, 2021

Integrating Circle Kernels into Convolutional Neural Networks.
CoRR, 2021

On the Power of Multitask Representation Learning in Linear MDP.
CoRR, 2021

Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning.
CoRR, 2021

Not All Images are Worth 16x16 Words: Dynamic Vision Transformers with Adaptive Sequence Length.
CoRR, 2021

Adaptive Focus for Efficient Video Recognition.
CoRR, 2021

AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks.
CoRR, 2021

Generalized Domain Conditioned Adaptation Network.
CoRR, 2021

Dynamic Neural Networks: A Survey.
CoRR, 2021

Domain-Aware SE Network for Sketch-based Image Retrieval with Multiplicative Euclidean Margin Softmax.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Evolving Attention with Residual Convolutions.
Proceedings of the 38th International Conference on Machine Learning, 2021

Revisiting Locally Supervised Learning: an Alternative to End-to-end Training.
Proceedings of the 9th International Conference on Learning Representations, 2021

Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation.
Proceedings of the 9th International Conference on Learning Representations, 2021

A vertical jump optimization strategy for one-legged robot with variable reduction ratio joint.
Proceedings of the 20th IEEE-RAS International Conference on Humanoid Robots, 2021

Cross-Iteration Batch Normalization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

CondenseNet V2: Sparse Feature Reactivation for Deep Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

3D Object Detection With Pointformer.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Collaborative learning with corrupted labels.
Neural Networks, 2020

FSD-10: A fine-grained classification dataset for figure skating.
Neurocomputing, 2020

Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving.
CoRR, 2020

Regularizing Deep Networks with Semantic Data Augmentation.
CoRR, 2020

Meta-Semi: A Meta-learning Approach for Semi-supervised Learning.
CoRR, 2020

Self-Supervised Discovering of Causal Features: Towards Interpretable Reinforcement Learning.
CoRR, 2020

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

Convolutional Networks with Dense Connectivity.
CoRR, 2020

Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image Classification.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Resolution Adaptive Networks for Efficient Inference.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Domain Conditioned Adaptation Network.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Cross-Domain Extreme Learning Machines for Domain Adaptation.
IEEE Trans. Syst. Man Cybern. Syst., 2019

Nonparametric Dimension Reduction via Maximizing Pairwise Separation Probability.
IEEE Trans. Neural Networks Learn. Syst., 2019

Dynamic Minimax Probability Machine-Based Approach for Fault Diagnosis Using Pairwise Discriminate Analysis.
IEEE Trans. Control. Syst. Technol., 2019

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

Automatic feature constructing from vibration signals for machining state monitoring.
J. Intell. Manuf., 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

Interpretable Spatio-Temporal Attention for Video Action Recognition.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Improved Techniques for Training Adaptive Deep Networks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 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 Process., 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

Feature learning and process monitoring of injection molding using convolution-deconvolution auto encoders.
Comput. Chem. Eng., 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. Syst. Man Cybern. Syst., 2017

Prediction Reweighting for Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst., 2017

Twin extreme learning machines for pattern classification.
Neurocomputing, 2017

Machining vibration states monitoring based on image representation using convolutional neural networks.
Eng. Appl. Artif. Intell., 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

Data driven injection molding process monitoring using sparse auto encoder technique.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 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. Cybern., 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 Comput. Appl., 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 Networks Learn. Syst., 2012

Orthogonal Least Squares Algorithm for Training Cascade Neural Networks.
IEEE Trans. Circuits Syst. I Regul. Pap., 2012


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