USTC AGI Research Group
USTC AGI Research Group
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Mingyue Cheng
Associate Researcher
State Key Laboratory of Cognitive Intelligence, University of Science and Technology of China
Interests
Time Series and Sequence Modeling
Biomedical Big Data
Recommender Systems
Latest
Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform
Advancing Time Series Classification with Multimodal Language Modeling
Learning Transferable Time Series Classifier with Cross-Domain Pre-training from Language Model
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis
Generative Pretrained Hierarchical Transformer for Time Series Forecasting
Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective
A general tail item representation enhancement framework for sequential recommendation
Unlocking the Potential of Large Language Models for Explainable Recommendations
Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification
TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders
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