USTC-AGI Research Group
USTC-AGI Research Group
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Zhi Li
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ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis
Recognizing unseen objects via multimodal intensive knowledge graph propagation
Empowering Sequential Recommender Systems from Mixture of Collaborative Signals and Semantic Relatedness
Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform
Generative Pretrained Hierarchical Transformer for Time Series Forecasting
Supporting Your Idea Reasonably: A Knowledge-Aware Topic Reasoning Strategy for Citation Recommendation
Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective
Learning the explainable semantic relations via unified graph topic-disentangled neural networks
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification
ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification
One Person, One Model - Learning Compound Router for Sequential Recommendation
Nested Named Entity Recognition from Medical Texts: A Multi-task Learning Approach
Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement
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