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Teacher-Student Curriculum Learning

IEEE transaction on neural networks and learning systems, 2020-09, Vol.31 (9), p.3732-3740

2020

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Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.10164-10173

2022

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Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine

IEEE transaction on neural networks and learning systems, 2019-04, Vol.30 (4), p.1088-1103

2019

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A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI

IEEE transaction on neural networks and learning systems, 2021-11, Vol.32 (11), p.4793-4813

2021

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Machine Learning Methods for Attack Detection in the Smart Grid

IEEE transaction on neural networks and learning systems, 2016-08, Vol.27 (8), p.1773-1786

2016

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Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture

IEEE transaction on neural networks and learning systems, 2018-01, Vol.29 (1), p.10-24

2018

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Deep Reinforcement Learning: A Survey

IEEE transaction on neural networks and learning systems, 2024-04, Vol.35 (4), p.5064-5078

2024

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Person Reidentification via Multi-Feature Fusion With Adaptive Graph Learning

IEEE transaction on neural networks and learning systems, 2020-05, Vol.31 (5), p.1592-1601

2020

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Federated Multiagent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multimicrogrid Energy Management

IEEE transaction on neural networks and learning systems, 2024-05, Vol.35 (5), p.5902-5914

2024

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OSNN: An Online Semisupervised Neural Network for Nonstationary Data Streams

IEEE transaction on neural networks and learning systems, 2023-09, Vol.34 (9), p.6029-6041

2023

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Hierarchical Deep Reinforcement Learning for Continuous Action Control

IEEE transaction on neural networks and learning systems, 2018-11, Vol.29 (11), p.5174-5184

2018

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Online Passive-Aggressive Multilabel Classification Algorithms

IEEE transaction on neural networks and learning systems, 2023-12, Vol.34 (12), p.10116-10129

2023

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A Comprehensive Survey on Graph Neural Networks

IEEE transaction on neural networks and learning systems, 2021-01, Vol.32 (1), p.4-24

2021

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Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches

IEEE transactions on medical imaging, 2019-08, Vol.38 (8), p.1777-1787

2019

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Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021, p.9394-9403

2021

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Approximate Policy-Based Accelerated Deep Reinforcement Learning

IEEE transaction on neural networks and learning systems, 2020-06, Vol.31 (6), p.1820-1830

2020

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Causality Inspired Representation Learning for Domain Generalization

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.8036-8046

2022

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Weighted Broad Learning System and Its Application in Nonlinear Industrial Process Modeling

IEEE transaction on neural networks and learning systems, 2020-08, Vol.31 (8), p.3017-3031

2020

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Constrained Deep Weak Supervision for Histopathology Image Segmentation

IEEE transactions on medical imaging, 2017-11, Vol.36 (11), p.2376-2388

2017

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Distributed Online Learning With Multiple Kernels

IEEE transaction on neural networks and learning systems, 2023-03, Vol.34 (3), p.1263-1277

2023

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The logic of graph neural networks

2021 36th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS), 2021, p.1-17

Grohe, Martin

2021

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Universal Approximation Capability of Broad Learning System and Its Structural Variations

IEEE transaction on neural networks and learning systems, 2019-04, Vol.30 (4), p.1191-1204

2019

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Interpolation-Based Contrastive Learning for Few-Label Semi-Supervised Learning

IEEE transaction on neural networks and learning systems, 2024-02, Vol.35 (2), p.2054-2065

2024

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Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning

IEEE transaction on neural networks and learning systems, 2019-11, Vol.30 (11), p.3409-3418

2019

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Online Learning With Adaptive Rebalancing in Nonstationary Environments

IEEE transaction on neural networks and learning systems, 2021-10, Vol.32 (10), p.4445-4459

2021

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Teacher-Student Curriculum Learning

Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning

Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine

A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI

Machine Learning Methods for Attack Detection in the Smart Grid

Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture

Deep Reinforcement Learning: A Survey

Person Reidentification via Multi-Feature Fusion With Adaptive Graph Learning

Federated Multiagent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multimicrogrid Energy Management

OSNN: An Online Semisupervised Neural Network for Nonstationary Data Streams

Hierarchical Deep Reinforcement Learning for Continuous Action Control

Online Passive-Aggressive Multilabel Classification Algorithms

A Comprehensive Survey on Graph Neural Networks

Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches

Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data

Approximate Policy-Based Accelerated Deep Reinforcement Learning

Causality Inspired Representation Learning for Domain Generalization

Weighted Broad Learning System and Its Application in Nonlinear Industrial Process Modeling

Constrained Deep Weak Supervision for Histopathology Image Segmentation

Distributed Online Learning With Multiple Kernels

The logic of graph neural networks

Universal Approximation Capability of Broad Learning System and Its Structural Variations

Interpolation-Based Contrastive Learning for Few-Label Semi-Supervised Learning

Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning

Online Learning With Adaptive Rebalancing in Nonstationary Environments

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