Yangli-ao Geng

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

Bibliography

2024

Disentangling clusters from non-Euclidean data via graph frequency reorganization.

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[DOI]

Inf. Sci., 2024

LGB: Language Model and Graph Neural Network-Driven Social Bot Detection.

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[DOI]

CoRR, 2024

xTrimoPGLM: Unified 100B-Scale Pre-trained Transformer for Deciphering the Language of Protein.

[BibT_eX]

[DOI]

CoRR, 2024

RecDCL: Dual Contrastive Learning for Recommendation.

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[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Incremental Learning via Robust Parameter Posterior Fusion.

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[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

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

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[DOI]

Neurocomputing, November, 2023

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

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[DOI]

Pattern Recognit., August, 2023

Towards Plastic and Stable Exemplar-Free Incremental Learning: A Dual-Learner Framework with Cumulative Parameter Averaging.

[BibT_eX]

[DOI]

CoRR, 2023

BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs.

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[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

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

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[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Detecting Social Bot on the Fly using Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

A zero-shot learning framework via cluster-prototype matching.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Distribution and gradient constrained embedding model for zero-shot learning with fewer seen samples.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Revisiting Local Descriptors via Frequent Pattern Mining for Fine-Grained Image Retrieval.

[BibT_eX]

[DOI]

Min Zheng

Yangli-ao Geng

Qingyong Li

Entropy, 2022

Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Appl. Intell., 2022

2021

MTNet: A Multi-Task Neural Network for On-Field Calibration of Low-Cost Air Monitoring Sensors.

[BibT_eX]

[DOI]

CoRR, 2021

ILCOC: An Incremental Learning Framework Based on Contrastive One-Class Classifiers.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

DDGNet: A Dual-Stage Dynamic Spatio-Temporal Graph Network for PM2.5 Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Trajectory-Joint Clustering Algorithm for Time-Varying Channel Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2020

Local-Density Subspace Distributed Clustering for High-Dimensional Data.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2020

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

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2020

A Heterogeneous Spatiotemporal Network for Lightning Prediction.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

More Than One: A Cluster-Prototype Matching Framework for Zero-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

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

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

AirNet: A Calibration Model for Low-Cost Air Monitoring Sensors Using Dual Sequence Encoder Networks.

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[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

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

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2019

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

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2019

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

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[DOI]

IEEE Access, 2019

LightNet: A Dual Spatiotemporal Encoder Network Model for Lightning Prediction.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

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

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[DOI]

Inf. Sci., 2018

Ensemble Clustering Using Maximum Relative Density Path.

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[DOI]

Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

2017

A Kernel-Power-Density-Based Algorithm for Channel Multipath Components Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2017

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

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[DOI]

CAAI Trans. Intell. Technol., 2017

An Automatic Clustering Algorithm for Multipath Components Based on Kernel-Power-Density.

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[DOI]

Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017

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

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017

2016

RECOME: a New Density-Based Clustering Algorithm Using Relative KNN Kernel Density.

[BibT_eX]

[DOI]

CoRR, 2016

Yangli-ao Geng

Bibliography

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