This is your work, valued

Beijing, China

Chengqing Yu

Advanced
@ChengqingYu

I am an Assistant Professor at the Institute of Computing Technology, CAS. My research interests include deep learning, time series and reinforcement Learning

scholar.google.com.hk/citations?user=G3vphfgAAAAJ&hl=zh-CN&oi=ao

Dynamic-ensemble-learning. Dynamic ensemble learning based on RL and multi-objective optimization. Deep reinforcement learning and NSGA2 are combined to realize dynamic ensemble learning.

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Multi-objective-Ensemble. multi-objective optimization, single-objective optimization and reinforcement learning in the field of ensemble learning and time series prediction.

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Merlin. Code for our SIGKDD'25 paper Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates

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GAT-Informer. This folder contains spatiotemporal prediction models implemented in combination with Informer and GAT.

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MRIformer. The main code of our proposed multi-resolution interactive transformer

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MTS_dataset. This folder contains some of the data sets commonly used in the field of multivariate time series forecasting.

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BasicTS. A Standard and Fair Time Series Forecasting Benchmark and Toolkit.

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TFEformer. Code of our proposed temporal frequency ensemble transformer

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