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Meta-Learning in Neural Networks: A Survey

IEEE transactions on pattern analysis and machine intelligence, 2022-09, Vol.44 (9), p.5149-5169

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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Neurally-Inspired Hyperdimensional Classification for Efficient and Robust Biosignal Processing

2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2022, p.1-9

2022

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SynergicLearning: Neural Network-Based Feature Extraction for Highly-Accurate Hyperdimensional Learning

2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2020, p.1-9

2020

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A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning

Proceedings of the IEEE, 2021-03, Vol.109 (3), p.204-246

2021

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Contrastive Representation Learning: A Framework and Review

IEEE access, 2020, Vol.8, p.193907-193934

2020

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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 for Autonomous Driving: A Survey

IEEE transactions on intelligent transportation systems, 2022-06, Vol.23 (6), p.4909-4926

2022

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WaferHSL: Wafer Failure Pattern Classification with Efficient Human-Like Staged Learning

2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2022, p.1-8

2022

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The Emerging Trends of Multi-Label Learning

IEEE transactions on pattern analysis and machine intelligence, 2022-11, Vol.44 (11), p.7955-7974

2022

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Edge Learning for B5G Networks With Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing

IEEE journal of selected topics in signal processing, 2023-01, Vol.17 (1), p.9-39

2023

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Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey

IEEE transactions on pattern analysis and machine intelligence, 2021-11, Vol.43 (11), p.4037-4058

2021

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Towards Safe Weakly Supervised Learning

IEEE transactions on pattern analysis and machine intelligence, 2021-01, Vol.43 (1), p.334-346

2021

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A Blended Learning Approach to Course Design and Implementation

IEEE transactions on education, 2009-02, Vol.52 (1), p.19-30

2009

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Cost-Effective Active Learning for Deep Image Classification

IEEE transactions on circuits and systems for video technology, 2017-12, Vol.27 (12), p.2591-2600

2017

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Representation Learning: A Review and New Perspectives

IEEE transactions on pattern analysis and machine intelligence, 2013-08, Vol.35 (8), p.1798-1828

2013

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Deep Reinforcement Learning for Sequence-to-Sequence Models

IEEE transaction on neural networks and learning systems, 2020-07, Vol.31 (7), p.2469-2489

2020

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Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations

IEEE transactions on pattern analysis and machine intelligence, 2020-12, Vol.42 (12), p.3119-3135

2020

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Research Progress on Few-Shot Learning for Remote Sensing Image Interpretation

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.2387-2402

2021

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Label Distribution Learning

IEEE transactions on knowledge and data engineering, 2016-07, Vol.28 (7), p.1734-1748

Geng, Xin

2016

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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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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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A machine learning based approach to identify SQL injection vulnerabilities

2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2019, p.1286-1288

Zhang, Kevin

2019

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Few-shot Hyperspectral Image Classification with Self-supervised Learning

IEEE transactions on geoscience and remote sensing, 2023-01, Vol.61, p.1-1

2023

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Learning without Forgetting

IEEE transactions on pattern analysis and machine intelligence, 2018-12, Vol.40 (12), p.2935-2947

2018

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Meta-Learning in Neural Networks: A Survey

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

Neurally-Inspired Hyperdimensional Classification for Efficient and Robust Biosignal Processing

SynergicLearning: Neural Network-Based Feature Extraction for Highly-Accurate Hyperdimensional Learning

A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning

Contrastive Representation Learning: A Framework and Review

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

Deep Reinforcement Learning for Autonomous Driving: A Survey

WaferHSL: Wafer Failure Pattern Classification with Efficient Human-Like Staged Learning

The Emerging Trends of Multi-Label Learning

Edge Learning for B5G Networks With Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing

Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey

Towards Safe Weakly Supervised Learning

A Blended Learning Approach to Course Design and Implementation

Cost-Effective Active Learning for Deep Image Classification

Representation Learning: A Review and New Perspectives

Deep Reinforcement Learning for Sequence-to-Sequence Models

Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations

Research Progress on Few-Shot Learning for Remote Sensing Image Interpretation

Label Distribution Learning

Teacher-Student Curriculum Learning

Universal Approximation Capability of Broad Learning System and Its Structural Variations

A machine learning based approach to identify SQL injection vulnerabilities

Few-shot Hyperspectral Image Classification with Self-supervised Learning

Learning without Forgetting

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