Gao Huang

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

Bibliography

2024
Joint representation learning for text and 3D point cloud.
Pattern Recognit., March, 2024

Leveraging Reward Consistency for Interpretable Feature Discovery in Reinforcement Learning.
IEEE Trans. Syst. Man Cybern. Syst., February, 2024

Dynamic Spatial Focus for Efficient Compressed Video Action Recognition.
IEEE Trans. Circuits Syst. Video Technol., February, 2024

AdaDet: An Adaptive Object Detection System Based on Early-Exit Neural Networks.
IEEE Trans. Cogn. Dev. Syst., February, 2024

2023
A stable data-augmented reinforcement learning method with ensemble exploration and exploitation.
Appl. Intell., November, 2023

Competitive Meta-Learning.
IEEE CAA J. Autom. Sinica, September, 2023

Vertical Jump of a Humanoid Robot With CoP-Guided Angular Momentum Control and Impact Absorption.
IEEE Trans. Robotics, August, 2023

Exploration With Task Information for Meta Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Convolution-Enhanced Evolving Attention Networks.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Joint optic disc and cup segmentation based on elliptical-like morphological feature and spatial geometry constraint.
Comput. Biol. Medicine, May, 2023

Glance and Focus Networks for Dynamic Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Meta-Reinforcement Learning With Dynamic Adaptiveness Distillation.
IEEE Trans. Neural Networks Learn. Syst., March, 2023

A heuristic gait template planning and dynamic motion control for biped robots.
Robotica, February, 2023

Segment3D: Learning Fine-Grained Class-Agnostic 3D Segmentation without Manual Labels.
CoRR, 2023

Mask Grounding for Referring Image Segmentation.
CoRR, 2023

GSVA: Generalized Segmentation via Multimodal Large Language Models.
CoRR, 2023

Agent Attention: On the Integration of Softmax and Linear Attention.
CoRR, 2023

Adversarial Phase Retrieval via Nonlinear Least Absolute Deviation.
CoRR, 2023

Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models.
CoRR, 2023

Robust Outlier Bound Condition to Phase Retrieval with Adversarial Sparse Outliers.
CoRR, 2023

Augmenting Unsupervised Reinforcement Learning with Self-Reference.
CoRR, 2023

Detecting Generated Images by Real Images Only.
CoRR, 2023

Rank-DETR for High Quality Object Detection.
CoRR, 2023

Avalon's Game of Thoughts: Battle Against Deception through Recursive Contemplation.
CoRR, 2023

Generalized Activation via Multivariate Projection.
CoRR, 2023

Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance.
CoRR, 2023

DAT++: Spatially Dynamic Vision Transformer with Deformable Attention.
CoRR, 2023

Fine-grained Recognition with Learnable Semantic Data Augmentation.
CoRR, 2023

Latency-aware Unified Dynamic Networks for Efficient Image Recognition.
CoRR, 2023

Computation-efficient Deep Learning for Computer Vision: A Survey.
CoRR, 2023

ExpeL: LLM Agents Are Experiential Learners.
CoRR, 2023

Learning Specialized Activation Functions for Physics-informed Neural Networks.
CoRR, 2023

Multi-Dimensional Refinement Graph Convolutional Network with Robust Decouple Loss for Fine-Grained Skeleton-Based Action Recognition.
CoRR, 2023

ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process.
CoRR, 2023

Offline Prioritized Experience Replay.
CoRR, 2023

Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory.
CoRR, 2023

Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models.
CoRR, 2023

Zero-shot Generative Model Adaptation via Image-specific Prompt Learning.
CoRR, 2023

Multi-Modal Interaction Control of Ultrasound Scanning Robots with Safe Human Guidance and Contact Recovery.
CoRR, 2023

Joint Representation Learning for Text and 3D Point Cloud.
CoRR, 2023

A graph reasoning method for multi-object unordered stacking scenarios.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2023

STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Rank-DETR for High Quality Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning to Estimate 3-D States of Deformable Linear Objects from Single-Frame Occluded Point Clouds.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Boosting Offline Reinforcement Learning with Action Preference Query.
Proceedings of the International Conference on Machine Learning, 2023

Budgeted Training for Vision Transformer.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Adaptive Rotated Convolution for Rotated Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Deep Incubation: Training Large Models by Divide-and-Conquering.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FLatten Transformer: Vision Transformer using Focused Linear Attention.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dynamic Perceiver for Efficient Visual Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Siamese Image Modeling for Self-Supervised Vision Representation Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Human-Riding Inspired Acceleration Control of a Wheel-Legged Humanoid Robot.
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2023

Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Boosted Dynamic Neural Networks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
The High Separation Probability Assumption for Semi-Supervised Learning.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Attention-Based Meta-Reinforcement Learning for Tracking Control of AUV With Time-Varying Dynamics.
IEEE Trans. Neural Networks Learn. Syst., 2022

Regularizing Deep Networks With Semantic Data Augmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Self-Supervised Discovering of Interpretable Features for Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Generalized Domain Conditioned Adaptation Network.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Convolutional Networks with Dense Connectivity.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Dynamic Neural Networks: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Intelligent setting of process parameters for injection molding based on case-based reasoning of molding features.
J. Intell. Manuf., 2022

Preface.
J. Comput. Sci. Technol., 2022

TC<sup>3</sup>KD: Knowledge distillation via teacher-student cooperative curriculum customization.
Neurocomputing, 2022

PLAM: A plug-in module for flexible graph attention learning.
Neurocomputing, 2022

Dual Arm Coordination with Coordination Diagram Based on Teleoperation Demonstration.
Int. J. Humanoid Robotics, 2022

Deep Model Assembling.
CoRR, 2022

Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information.
CoRR, 2022

Cross-Modal Adapter for Text-Video Retrieval.
CoRR, 2022

Boosting Offline Reinforcement Learning via Data Rebalancing.
CoRR, 2022

Siamese Image Modeling for Self-Supervised Vision Representation Learning.
CoRR, 2022

Provable General Function Class Representation Learning in Multitask Bandits and MDPs.
CoRR, 2022

Domain Adaptation via Prompt Learning.
CoRR, 2022

Efficient Hierarchical Exploration with An Active Subgoal Generation Strategy.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

A Mixture Of Surprises for Unsupervised Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Knowledge Distillation from Model Checkpoints.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Contrastive Language-Image Pre-Training with Knowledge Graphs.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Provable General Function Class Representation Learning in Multitask Bandits and MDP.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Latency-aware Spatial-wise Dynamic Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learn From the Past: Experience Ensemble Knowledge Distillation.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

AdaFocusV3: On Unified Spatial-Temporal Dynamic Video Recognition.
Proceedings of the Computer Vision - ECCV 2022, 2022

ActiveNeRF: Learning Where to See with Uncertainty Estimation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Weight Samples for Dynamic Early-Exiting Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022

Vision Transformer with Deformable Attention.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DiSparse: Disentangled Sparsification for Multitask Model Compression.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

On the Integration of Self-Attention and Convolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Assessing a Single Image in Reference-Guided Image Synthesis.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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

Spatially Adaptive Feature Refinement for Efficient Inference.
IEEE Trans. Image Process., 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

Image classification method on class imbalance datasets using multi-scale CNN and two-stage transfer learning.
Neural Comput. Appl., 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.
Neurocomputing, 2021

Integrating Circle Kernels into Convolutional Neural Networks.
CoRR, 2021

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

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

Large scale air pollution prediction with deep convolutional networks.
Sci. China Inf. Sci., 2021

Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Searching Parameterized AP Loss for Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

Towards Learning Spatially Discriminative Feature Representations.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adaptive Focus for Efficient Video Recognition.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 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

Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation.
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

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

Learning decomposed subspaces for supervised bidirectional image generation.
Cogn. Comput. Syst., 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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