Youru Li
Orcid: 0000-0002-9326-9863
According to our database1,
Youru Li
authored at least 22 papers
between 2019 and 2024.
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Bibliography
2024
HKA: A Hierarchical Knowledge Alignment Framework for Multimodal Knowledge Graph Completion.
ACM Trans. Multim. Comput. Commun. Appl., August, 2024
Multi-Task Learning with Sequential Dependence Toward Industrial Applications: A Systematic Formulation.
ACM Trans. Knowl. Discov. Data, June, 2024
IEEE Trans. Knowl. Data Eng., May, 2024
HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk Prediction.
ACM Trans. Knowl. Discov. Data, January, 2024
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024
Asymptotic Consistent Graph Structure Learning for Multivariate Time-Series Anomaly Detection.
IEEE Trans. Instrum. Meas., 2024
Information Maximization via Variational Autoencoders for Cross-Domain Recommendation.
CoRR, 2024
FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare Prediction.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
2023
Multi-scale adaptive attention-based time-variant neural networks for multi-step time series forecasting.
Appl. Intell., December, 2023
Adversarial self-attentive time-variant neural networks for multi-step time series forecasting.
Expert Syst. Appl., November, 2023
IEEE Trans. Knowl. Data Eng., September, 2023
Cooperative dual medical ontology representation learning for clinical assisted decision-making.
Comput. Biol. Medicine, September, 2023
Comput. Biol. Medicine, February, 2023
Learning Dynamic User Interest Sequence in Knowledge Graphs for Click-Through Rate Prediction.
IEEE Trans. Knowl. Data Eng., 2023
Learning Joint Relational Co-evolution in Spatial-Temporal Knowledge Graph for SMEs Supply Chain Prediction.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
2022
Self-attention-based time-variant neural networks for multi-step time series forecasting.
Neural Comput. Appl., 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Deep learning based torsional nystagmus detection for dizziness and vertigo diagnosis.
Biomed. Signal Process. Control., 2021
2020
CCAE: Cross-field categorical attributes embedding for cancer clinical endpoint prediction.
Artif. Intell. Medicine, 2020
2019
Knowl. Based Syst., 2019
Learning Heterogeneous Spatial-Temporal Representation for Bike-Sharing Demand Prediction.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019