Bin Yang

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Aalborg University

Denmark

Research Interests

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Recent Grants

Grant: Close

Algorithmic Foundations for Data-Intensive Routing

Open Date: 2019-03-01

Close Date: 2020-12-01

Grant: Close

Analytics of Time Series in Spatial Networks

Open Date: 2018-10-01

Close Date: 2021-09-01

Grant: Close

Distinguished Scholar

Open Date: 2018-04-01

Close Date: 2021-03-01

Grant: Close

Research Collaborations with Industries in North Jutland

Open Date: 2018-03-01

Close Date: 2018-10-01

Grant: Close

Analytics of Time Series in Spatial Networks

Open Date: 2018-01-01

Close Date: 2018-12-31

Articles (23)

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Collaborators (14)

Jesper Møller

Professor at Aalborg University

Aalborg University

DENMARK

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kai zhao

Aalborg University

DENMARK

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Yan Lin

Aalborg University

DENMARK

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Torben Bach Pedersen

Aalborg University

DENMARK

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Christian Søndergaard Jensen

Professor

Aalborg University

DENMARK

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Yuan-Fang Li

MONASH UNIVERSITY

AUSTRALIA

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Yan Zhao

Aalborg University

DENMARK

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Sean Bin Yang

Aalborg University

DENMARK

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Tung Kieu

Aalborg University

DENMARK

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Simon Aagaard Pedersen

Aalborg University

DENMARK

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Kaixuan Chen

Assistant Professor

Aalborg University

DENMARK

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Jilin Hu

Aalborg University

DENMARK

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Dalin Zhang

Aalborg University

DENMARK

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Shirui Pan

Professor and ARC Future Fellow

Griffith University

AUSTRALIA

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Bin Yang

Research Interests

Contact this professor

Recent Grants

Articles (23)

Gaussian Process Latent Variable Modeling for Few-Shot Time Series Forecasting

UVTM: Universal Vehicle Trajectory Modeling With ST Feature Domain Generation

A Memory Guided Transformer for Time Series Forecasting

Spatio-Temporal Prediction on Streaming Data: A Unified Federated Continuous Learning Framework

TEAM

AutoCTS++: zero-shot joint neural architecture and hyperparameter search for correlated time series forecasting

Adversarial Graph Neural Network for Multivariate Time Series Anomaly Detection

Efficient Stochastic Routing in Path-Centric Uncertain Road Networks

Multi-granularity attention in attention for person re-identification in aerial images

Multivariate Time Series Forecasting With Dynamic Graph Neural ODEs

LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation - Extended Version.

LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation.

AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting

CGF: A Category Guidance Based PM$_{2.5}$ Sequence Forecasting Training Framework

Coalition-based task assignment with priority-aware fairness in spatial crowdsourcing

MagicScaler

Stochastic Routing with Arrival Windows

Origin-Destination Travel Time Oracle for Map-based Services

Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection - Extended Version.

Semantic driven attention network with attribute learning for unsupervised person re-identification

Context-Aware Path Ranking in Road Networks

Profit Optimization in Spatial Crowdsourcing: Effectiveness and Efficiency

AutoCTS: Automated Correlated Time Series Forecasting

Collaborators (14)

Jesper Møller

kai zhao

Yan Lin

Torben Bach Pedersen

Christian Søndergaard Jensen

Yuan-Fang Li

Yan Zhao

Sean Bin Yang

Tung Kieu

Simon Aagaard Pedersen

Kaixuan Chen

Jilin Hu

Dalin Zhang

Shirui Pan

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