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A deep learning framework for lightning forecasting with multi‐source spatiotemporal data

Quarterly journal of the Royal Meteorological Society, 2021-10, Vol.147 (741), p.4048-4062

2021

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A Coarse-to-Fine Model for Rail Surface Defect Detection

IEEE transactions on instrumentation and measurement, 2019-03, Vol.68 (3), p.656-666

2019

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A Novel Tracking-Based Multipath Component Clustering Algorithm

IEEE antennas and wireless propagation letters, 2017-01, Vol.16, p.2679-2683

2017

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Application of XGBoost algorithm in the optimization of pollutant concentration

Atmospheric research, 2022-10, Vol.276, p.106238, Article 106238

2022

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RECOME: A new density-based clustering algorithm using relative KNN kernel density

Information sciences, 2018-04, Vol.436-437, p.13-30

2018

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Attention-Based Dual-Source Spatiotemporal Neural Network for Lightning Forecast

IEEE access, 2019, Vol.7, p.158296-158307

2019

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Trajectory-Joint Clustering Algorithm for Time-Varying Channel Modeling

IEEE transactions on vehicular technology, 2020-01, Vol.69 (1), p.1041-1045

2020

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Optimization research on air quality numerical model forecasting effects based on deep learning methods

Atmospheric research, 2022-06, Vol.271, p.106082, Article 106082

2022

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Retinal image segmentation using double-scale non-linear thresholding on vessel support regions

CAAI Transactions on Intelligence Technology, 2017-09, Vol.2 (3), p.109-115

2017

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Disentangling clusters from non-Euclidean data via graph frequency reorganization

Information sciences, 2024-03, Vol.662, p.120288, Article 120288

2024

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A Deep Calibration Method for Low-Cost Air Monitoring Sensors With Multilevel Sequence Modeling

IEEE transactions on instrumentation and measurement, 2020-09, Vol.69 (9), p.7167-7179

2020

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Local-Density Subspace Distributed Clustering for High-Dimensional Data

IEEE transactions on parallel and distributed systems, 2020-08, Vol.31 (8), p.1799-1814

2020

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A Power-Angle-Spectrum Based Clustering and Tracking Algorithm for Time-Varying Radio Channels

IEEE transactions on vehicular technology, 2019-01, Vol.68 (1), p.291-305

2019

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Decoupling Learning and Remembering: a Bilevel Memory Framework with Knowledge Projection for Task-Incremental Learning

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, p.20186-20195

2023

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LightNet+: A dual-source lightning forecasting network with bi-direction spatiotemporal transformation

Applied intelligence (Dordrecht, Netherlands), 2022-08, Vol.52 (10), p.11147-11159

2022

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REMOLD: An Efficient Model-Based Clustering Algorithm for Large Datasets with Spark

2017 IEEE 23rd International Conference on Parallel and Distributed Systems (ICPADS), 2017, p.376-383

2017

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Detecting Social Bot on the Fly using Contrastive Learning

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023, p.4995-5001

2023

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ILCOC: An Incremental Learning Framework based on Contrastive One-class Classifiers

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021, p.3575-3583

2021

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LightNet: A Dual Spatiotemporal Encoder Network Model for Lightning Prediction

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019, p.2439-2447

2019

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EvaNet: An Extreme Value Attention Network for Long-Term Air Quality Prediction

2020 IEEE International Conference on Big Data (Big Data), 2020, p.4545-4552

2020

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Exemplar-free class incremental learning via discriminative and comparable parallel one-class classifiers

Pattern recognition, 2023-08, Vol.140, p.109561, Article 109561

2023

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Class Incremental Learning based on Identically Distributed Parallel One-Class Classifiers

Neurocomputing (Amsterdam), 2023-11, Vol.556, p.126579, Article 126579

2023

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A zero-shot learning framework via cluster-prototype matching

Pattern recognition, 2022-04, Vol.124, p.108469, Article 108469

2022

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Clustering Performance Evaluation Algorithm for Vehicle-to-Vehicle Radio Channels

2020 14th European Conference on Antennas and Propagation (EuCAP), 2020, p.1-4

2020

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A Heterogeneous Spatiotemporal Network for Lightning Prediction

2020 IEEE International Conference on Data Mining (ICDM), 2020, p.1034-1039

2020

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A deep learning framework for lightning forecasting with multi‐source spatiotemporal data

A Coarse-to-Fine Model for Rail Surface Defect Detection

A Novel Tracking-Based Multipath Component Clustering Algorithm

Application of XGBoost algorithm in the optimization of pollutant concentration

RECOME: A new density-based clustering algorithm using relative KNN kernel density

Attention-Based Dual-Source Spatiotemporal Neural Network for Lightning Forecast

Trajectory-Joint Clustering Algorithm for Time-Varying Channel Modeling

Optimization research on air quality numerical model forecasting effects based on deep learning methods

Retinal image segmentation using double-scale non-linear thresholding on vessel support regions

Disentangling clusters from non-Euclidean data via graph frequency reorganization

A Deep Calibration Method for Low-Cost Air Monitoring Sensors With Multilevel Sequence Modeling

Local-Density Subspace Distributed Clustering for High-Dimensional Data

A Power-Angle-Spectrum Based Clustering and Tracking Algorithm for Time-Varying Radio Channels

Decoupling Learning and Remembering: a Bilevel Memory Framework with Knowledge Projection for Task-Incremental Learning

LightNet+: A dual-source lightning forecasting network with bi-direction spatiotemporal transformation

REMOLD: An Efficient Model-Based Clustering Algorithm for Large Datasets with Spark

Detecting Social Bot on the Fly using Contrastive Learning

ILCOC: An Incremental Learning Framework based on Contrastive One-class Classifiers

LightNet: A Dual Spatiotemporal Encoder Network Model for Lightning Prediction

EvaNet: An Extreme Value Attention Network for Long-Term Air Quality Prediction

Exemplar-free class incremental learning via discriminative and comparable parallel one-class classifiers

Class Incremental Learning based on Identically Distributed Parallel One-Class Classifiers

A zero-shot learning framework via cluster-prototype matching

Clustering Performance Evaluation Algorithm for Vehicle-to-Vehicle Radio Channels

A Heterogeneous Spatiotemporal Network for Lightning Prediction

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